From be4b055732e08adc73b4eba89c55e141c2ded194 Mon Sep 17 00:00:00 2001 From: Humbulani Date: Tue, 28 Jan 2025 20:13:29 +0200 Subject: [PATCH 1/6] adapting the script movielens_recommendations_transformers.py to be Backend-Agnostic --- .../movielens_recommendations_transformers.py | 409 ++++++++++-------- 1 file changed, 236 insertions(+), 173 deletions(-) diff --git a/examples/structured_data/movielens_recommendations_transformers.py b/examples/structured_data/movielens_recommendations_transformers.py index 8da0bda73b..f09b14f374 100644 --- a/examples/structured_data/movielens_recommendations_transformers.py +++ b/examples/structured_data/movielens_recommendations_transformers.py @@ -2,8 +2,9 @@ Title: A Transformer-based recommendation system Author: [Khalid Salama](https://www.linkedin.com/in/khalid-salama-24403144/) Date created: 2020/12/30 -Last modified: 2025/01/03 +Last modified: 2025/01/27 Description: Rating rate prediction using the Behavior Sequence Transformer (BST) model on the Movielens. +Made backend-agnostic by: [Humbulani Ndou](https://github.com/Humbulani1234) Accelerator: GPU """ @@ -52,7 +53,7 @@ import os -os.environ["KERAS_BACKEND"] = "tensorflow" +os.environ["KERAS_BACKEND"] = "jax" # or torch, or tensorflow import math from zipfile import ZipFile @@ -61,7 +62,6 @@ import keras import numpy as np import pandas as pd -import tensorflow as tf from keras import layers from keras.layers import StringLookup @@ -214,6 +214,7 @@ def create_sequences(values, window_size, step_size): ratings_data_transformed.ratings = ratings_data_transformed.ratings.apply( lambda x: ",".join([str(v) for v in x]) ) +# ratings_data_transformed['movie_id'] = movies["movie_id"].apply(lambda x: f"movie_{x}") del ratings_data_transformed["zip_code"] @@ -254,29 +255,89 @@ def create_sequences(values, window_size, step_size): MOVIE_FEATURES = ["genres"] + """ -## Create `tf.data.Dataset` for training and evaluation +## Encode input features + +The `Embeddings` layer works as follows: + +1. Each categorical user feature is encoded using `layers.Embedding`, with embedding +dimension equals to the square root of the vocabulary size of the feature. +The embeddings of these features are concatenated to form a single input tensor. + +2. Each movie in the movie sequence and the target movie is encoded `layers.Embedding`, +where the dimension size is the square root of the number of movies. + +3. A multi-hot genres vector for each movie is concatenated with its embedding vector, +and processed using a non-linear `layers.Dense` to output a vector of the same movie +embedding dimensions. + +4. A positional embedding is added to each movie embedding in the sequence, and then +multiplied by its rating from the ratings sequence. + +5. The target movie embedding is concatenated to the sequence movie embeddings, producing +a tensor with the shape of `[batch size, sequence length, embedding size]`, as expected +by the attention layer for the transformer architecture. + +6. The method returns a tuple of two elements: `encoded_transformer_features` and +`encoded_other_features`. """ +# Required for tf.data.Dataset +import tensorflow as tf + def get_dataset_from_csv(csv_file_path, batch_size, shuffle=True): + def process(features): movie_ids_string = features["sequence_movie_ids"] sequence_movie_ids = tf.strings.split(movie_ids_string, ",").to_tensor() - # The last movie id in the sequence is the target movie. features["target_movie_id"] = sequence_movie_ids[:, -1] features["sequence_movie_ids"] = sequence_movie_ids[:, :-1] - + # Sequence ratings ratings_string = features["sequence_ratings"] sequence_ratings = tf.strings.to_number( tf.strings.split(ratings_string, ","), tf.dtypes.float32 ).to_tensor() - # The last rating in the sequence is the target for the model to predict. target = sequence_ratings[:, -1] features["sequence_ratings"] = sequence_ratings[:, :-1] + def encoding_helper(feature_name): + + # This are target_movie_id and sequence_movie_ids and they have the same + # vocabulary as movie_id. + if feature_name not in CATEGORICAL_FEATURES_WITH_VOCABULARY: + vocabulary = CATEGORICAL_FEATURES_WITH_VOCABULARY["movie_id"] + index_lookup = StringLookup( + vocabulary=vocabulary, mask_token=None, num_oov_indices=0 + ) + # Convert the string input values into integer indices. + value_index = index_lookup(features[feature_name]) + features[feature_name] = value_index + + else: + # movie_id is not part of the features, hence not processed. It was mainly required + # for its vocabulary above. + if feature_name == "movie_id": + pass + else: + vocabulary = CATEGORICAL_FEATURES_WITH_VOCABULARY[feature_name] + index_lookup = StringLookup( + vocabulary=vocabulary, mask_token=None, num_oov_indices=0 + ) + # Convert the string input values into integer indices. + value_index = index_lookup(features[feature_name]) + features[feature_name] = value_index + + # Encode the user features + for feature_name in CATEGORICAL_FEATURES_WITH_VOCABULARY: + encoding_helper(feature_name) + # Encoding target_movie_id and returning it as the target variable + encoding_helper("target_movie_id") + # Encoding sequence movie_ids. + encoding_helper("sequence_movie_ids") return dict(features), target dataset = tf.data.experimental.make_csv_dataset( @@ -292,6 +353,157 @@ def process(features): return dataset +# This layer mainly performs embeddings, it receives indexes from processing +class Embeddings(layers.Layer): + + def __init__( + self, + inputs, + include_user_id=True, + include_user_features=True, + include_movie_features=True, + **kwargs, + ): + super().__init__(**kwargs) + self.inputs = inputs + # Whether to include user_id, user_features and movie_features + self.include_user_id = include_user_id + self.include_user_features = include_user_features + self.include_movie_features = include_movie_features + # Movie genres vector + genre_vectors = movies[genres].to_numpy() + movie_embedding_dims = int( + math.sqrt(len(CATEGORICAL_FEATURES_WITH_VOCABULARY["movie_id"])) + ) + self.movie_genres_vector = layers.Embedding( + input_dim=genre_vectors.shape[0], + output_dim=genre_vectors.shape[1], + embeddings_initializer=keras.initializers.Constant(genre_vectors), + trainable=False, + name="genres_vector", + ) + self.encoded_sequence_movies = layers.Dense( + units=movie_embedding_dims, + activation="relu", + name="process_movie_embedding_with_genres", + ) + # Positional embeddings layer for movie sequences + self.position_embedding_encoder = layers.Embedding( + input_dim=sequence_length, + output_dim=movie_embedding_dims, + name="position_embedding", + ) + # position and ratings embeddings layer + self.encoded_sequence_movies_with_position_and_rating = layers.Multiply() + + # Define a helper function to create an embedding layer for a feature. + def embedding_helper(input): + + # A function to group the common logic of creating embeddings + def embed_create(input, vocabulary): + embedding_dims = int(math.sqrt(len(vocabulary))) + embedding_encoder = layers.Embedding( + input_dim=len(vocabulary), output_dim=embedding_dims, name=input + ) + self.embeddings[input] = embedding_encoder + + if input == "target_movie_id" or input == "sequence_movie_ids": + # movie_id as the vocabulary for target_move_id and sequence_movie_ids + vocabulary = CATEGORICAL_FEATURES_WITH_VOCABULARY["movie_id"] + embed_create(input, vocabulary) + if input in CATEGORICAL_FEATURES_WITH_VOCABULARY: + # This includes user_id + vocabulary = CATEGORICAL_FEATURES_WITH_VOCABULARY[input] + embed_create(input, vocabulary) + + # Dictionary of embeddings for features/inputs to the model + self.embeddings = dict() + for input in self.inputs: + embedding_helper(input) + + def call(self, inputs): + + # Returned concatenated list of features + encoded_transformer_features = [] + encoded_other_features = [] + + # Helper function to create embeddings + def embedding_helper(input): + max_index = self.embeddings[input].input_dim - 1 # Clamp the indices + # torch had some index errors during embedding hence the clip function + encoded_feature = self.embeddings[input]( + keras.ops.clip(inputs[input], 0, max_index) + ) + return encoded_feature + + ## Encode user features + for input in inputs: + if (input in CATEGORICAL_FEATURES_WITH_VOCABULARY): + if input == "user_id": + if include_user_id: + embedded_user_id = embedding_helper(input) + encoded_other_features.append(embedded_user_id) + + if input in USER_FEATURES: + if include_user_features: + embedded_user_feature = embedding_helper(input) + encoded_other_features.append(embedded_user_feature) + + # This function merely groups similar logic for include_movie_features=True, + # or given as include_movie_features=False + def movie_sequence_helper(encoded_sequence_movies): + # Create positional embedding. + positions = keras.ops.arange(start=0, stop=sequence_length - 1, step=1) + encoded_positions = self.position_embedding_encoder(positions) + # Retrieve sequence ratings to incorporate them into the encoding of the movie. + sequence_ratings = inputs["sequence_ratings"] + sequence_ratings = keras.ops.expand_dims(sequence_ratings, -1) + # Add the positional encoding to the movie encodings and multiply them by rating. + encoded_sequence_movies_with_position_and_rating = ( + self.encoded_sequence_movies_with_position_and_rating( + [ + (encoded_sequence_movies + encoded_positions), + sequence_ratings, + ] + ) + ) + # Construct the transformer inputs. + for i in range(sequence_length - 1): + feature = encoded_sequence_movies_with_position_and_rating[:, i, ...] + feature = keras.ops.expand_dims(feature, 1) + encoded_transformer_features.append(feature) + + if include_movie_features and input == "sequence_movie_ids": + encoded_sequence_movies = embedding_helper(input) + concat = layers.concatenate([self.movie_genres_vector(inputs[input]), encoded_sequence_movies]) + encoded_sequence_movies = self.encoded_sequence_movies(concat) + movie_sequence_helper(encoded_sequence_movies) + + if ((not include_movie_features) and input == "sequence_movie_ids"): + encoded_sequence_movies = embedding_helper("sequence_movie_ids") + movie_sequence_helper(encoded_sequence_movies) + + # Create a single embedding vector for the user features + if len(encoded_other_features) > 1: + encoded_other_features = layers.concatenate(encoded_other_features) + elif len(encoded_other_features) == 1: + encoded_other_features = encoded_other_features[0] + else: + encoded_other_features = keras.ops.zeros((0,)) + # The target_movie_id embedding and appending to transformer features + encoded_target_movie = embedding_helper("target_movie_id") + encoded_transformer_features.append(encoded_target_movie) + # Concatenation of transformer features + encoded_transformer_features = layers.concatenate( + encoded_transformer_features, axis=1 + ) + return encoded_transformer_features, encoded_other_features + + # Surpress build warnings + def build(self, input_shape): + self.built = True + + """ ## Create model inputs """ @@ -299,180 +511,29 @@ def process(features): def create_model_inputs(): return { - "user_id": keras.Input(name="user_id", shape=(1,), dtype="string"), + "user_id": keras.Input(name="user_id", shape=(1,), dtype="int32"), "sequence_movie_ids": keras.Input( - name="sequence_movie_ids", shape=(sequence_length - 1,), dtype="string" + name="sequence_movie_ids", shape=(sequence_length - 1,), dtype="int32" ), "target_movie_id": keras.Input( - name="target_movie_id", shape=(1,), dtype="string" + name="target_movie_id", shape=(1,), dtype="int32" ), "sequence_ratings": keras.Input( - name="sequence_ratings", shape=(sequence_length - 1,), dtype=tf.float32 + name="sequence_ratings", shape=(sequence_length - 1,), dtype="float32" ), - "sex": keras.Input(name="sex", shape=(1,), dtype="string"), - "age_group": keras.Input(name="age_group", shape=(1,), dtype="string"), - "occupation": keras.Input(name="occupation", shape=(1,), dtype="string"), + "sex": keras.Input(name="sex", shape=(1,), dtype="int32"), + "age_group": keras.Input(name="age_group", shape=(1,), dtype="int32"), + "occupation": keras.Input(name="occupation", shape=(1,), dtype="int32"), } -""" -## Encode input features - -The `encode_input_features` method works as follows: - -1. Each categorical user feature is encoded using `layers.Embedding`, with embedding -dimension equals to the square root of the vocabulary size of the feature. -The embeddings of these features are concatenated to form a single input tensor. - -2. Each movie in the movie sequence and the target movie is encoded `layers.Embedding`, -where the dimension size is the square root of the number of movies. - -3. A multi-hot genres vector for each movie is concatenated with its embedding vector, -and processed using a non-linear `layers.Dense` to output a vector of the same movie -embedding dimensions. - -4. A positional embedding is added to each movie embedding in the sequence, and then -multiplied by its rating from the ratings sequence. - -5. The target movie embedding is concatenated to the sequence movie embeddings, producing -a tensor with the shape of `[batch size, sequence length, embedding size]`, as expected -by the attention layer for the transformer architecture. - -6. The method returns a tuple of two elements: `encoded_transformer_features` and -`encoded_other_features`. -""" - - -def encode_input_features( - inputs, - include_user_id=True, - include_user_features=True, - include_movie_features=True, -): - encoded_transformer_features = [] - encoded_other_features = [] - - other_feature_names = [] - if include_user_id: - other_feature_names.append("user_id") - if include_user_features: - other_feature_names.extend(USER_FEATURES) - - ## Encode user features - for feature_name in other_feature_names: - # Convert the string input values into integer indices. - vocabulary = CATEGORICAL_FEATURES_WITH_VOCABULARY[feature_name] - idx = StringLookup(vocabulary=vocabulary, mask_token=None, num_oov_indices=0)( - inputs[feature_name] - ) - # Compute embedding dimensions - embedding_dims = int(math.sqrt(len(vocabulary))) - # Create an embedding layer with the specified dimensions. - embedding_encoder = layers.Embedding( - input_dim=len(vocabulary), - output_dim=embedding_dims, - name=f"{feature_name}_embedding", - ) - # Convert the index values to embedding representations. - encoded_other_features.append(embedding_encoder(idx)) - - ## Create a single embedding vector for the user features - if len(encoded_other_features) > 1: - encoded_other_features = layers.concatenate(encoded_other_features) - elif len(encoded_other_features) == 1: - encoded_other_features = encoded_other_features[0] - else: - encoded_other_features = None - - ## Create a movie embedding encoder - movie_vocabulary = CATEGORICAL_FEATURES_WITH_VOCABULARY["movie_id"] - movie_embedding_dims = int(math.sqrt(len(movie_vocabulary))) - # Create a lookup to convert string values to integer indices. - movie_index_lookup = StringLookup( - vocabulary=movie_vocabulary, - mask_token=None, - num_oov_indices=0, - name="movie_index_lookup", - ) - # Create an embedding layer with the specified dimensions. - movie_embedding_encoder = layers.Embedding( - input_dim=len(movie_vocabulary), - output_dim=movie_embedding_dims, - name=f"movie_embedding", - ) - # Create a vector lookup for movie genres. - genre_vectors = movies[genres].to_numpy() - movie_genres_lookup = layers.Embedding( - input_dim=genre_vectors.shape[0], - output_dim=genre_vectors.shape[1], - embeddings_initializer=keras.initializers.Constant(genre_vectors), - trainable=False, - name="genres_vector", - ) - # Create a processing layer for genres. - movie_embedding_processor = layers.Dense( - units=movie_embedding_dims, - activation="relu", - name="process_movie_embedding_with_genres", - ) - - ## Define a function to encode a given movie id. - def encode_movie(movie_id): - # Convert the string input values into integer indices. - movie_idx = movie_index_lookup(movie_id) - movie_embedding = movie_embedding_encoder(movie_idx) - encoded_movie = movie_embedding - if include_movie_features: - movie_genres_vector = movie_genres_lookup(movie_idx) - encoded_movie = movie_embedding_processor( - layers.concatenate([movie_embedding, movie_genres_vector]) - ) - return encoded_movie - - ## Encoding target_movie_id - target_movie_id = inputs["target_movie_id"] - encoded_target_movie = encode_movie(target_movie_id) - - ## Encoding sequence movie_ids. - sequence_movies_ids = inputs["sequence_movie_ids"] - encoded_sequence_movies = encode_movie(sequence_movies_ids) - # Create positional embedding. - position_embedding_encoder = layers.Embedding( - input_dim=sequence_length, - output_dim=movie_embedding_dims, - name="position_embedding", - ) - positions = tf.range(start=0, limit=sequence_length - 1, delta=1) - encodded_positions = position_embedding_encoder(positions) - # Retrieve sequence ratings to incorporate them into the encoding of the movie. - sequence_ratings = inputs["sequence_ratings"] - sequence_ratings = keras.ops.expand_dims(sequence_ratings, -1) - # Add the positional encoding to the movie encodings and multiply them by rating. - encoded_sequence_movies_with_poistion_and_rating = layers.Multiply()( - [(encoded_sequence_movies + encodded_positions), sequence_ratings] - ) - - # Construct the transformer inputs. - for i in range(sequence_length - 1): - feature = encoded_sequence_movies_with_poistion_and_rating[:, i, ...] - feature = keras.ops.expand_dims(feature, 1) - encoded_transformer_features.append(feature) - encoded_transformer_features.append(encoded_target_movie) - - encoded_transformer_features = layers.concatenate( - encoded_transformer_features, axis=1 - ) - - return encoded_transformer_features, encoded_other_features - - """ ## Create a BST model """ -include_user_id = False -include_user_features = False -include_movie_features = False +include_user_id = True +include_user_features = True +include_movie_features = True hidden_units = [256, 128] dropout_rate = 0.1 @@ -480,10 +541,11 @@ def encode_movie(movie_id): def create_model(): + inputs = create_model_inputs() - transformer_features, other_features = encode_input_features( + transformer_features, other_features = Embeddings( inputs, include_user_id, include_user_features, include_movie_features - ) + )(inputs) # Create a multi-headed attention layer. attention_output = layers.MultiHeadAttention( @@ -502,20 +564,20 @@ def create_model(): features = layers.Flatten()(transformer_features) # Included the other features. - if other_features is not None: + # Test for an empty returned tensor + if other_features.shape[0] != 0: features = layers.concatenate( [features, layers.Reshape([other_features.shape[-1]])(other_features)] ) - # Fully-connected layers. for num_units in hidden_units: features = layers.Dense(num_units)(features) features = layers.BatchNormalization()(features) features = layers.LeakyReLU()(features) features = layers.Dropout(dropout_rate)(features) - outputs = layers.Dense(units=1)(features) model = keras.Model(inputs=inputs, outputs=outputs) + return model @@ -533,6 +595,7 @@ def create_model(): ) # Read the training data. + train_dataset = get_dataset_from_csv("train_data.csv", batch_size=265, shuffle=True) # Fit the model with the training data. From 2d7d856c389ebd7b100949b39ef7ad83acecb09c Mon Sep 17 00:00:00 2001 From: Humbulani Date: Wed, 29 Jan 2025 00:03:22 +0200 Subject: [PATCH 2/6] adjusting the script to be more modular --- .../movielens_recommendations_transformers.py | 20 +++++++++++-------- 1 file changed, 12 insertions(+), 8 deletions(-) diff --git a/examples/structured_data/movielens_recommendations_transformers.py b/examples/structured_data/movielens_recommendations_transformers.py index f09b14f374..4712534342 100644 --- a/examples/structured_data/movielens_recommendations_transformers.py +++ b/examples/structured_data/movielens_recommendations_transformers.py @@ -412,9 +412,13 @@ def embed_create(input, vocabulary): vocabulary = CATEGORICAL_FEATURES_WITH_VOCABULARY["movie_id"] embed_create(input, vocabulary) if input in CATEGORICAL_FEATURES_WITH_VOCABULARY: - # This includes user_id - vocabulary = CATEGORICAL_FEATURES_WITH_VOCABULARY[input] - embed_create(input, vocabulary) + # movie_id is only used to determine vocabulary size + if input == "movie_id": + pass + else: + # This includes user_id + vocabulary = CATEGORICAL_FEATURES_WITH_VOCABULARY[input] + embed_create(input, vocabulary) # Dictionary of embeddings for features/inputs to the model self.embeddings = dict() @@ -440,12 +444,12 @@ def embedding_helper(input): for input in inputs: if (input in CATEGORICAL_FEATURES_WITH_VOCABULARY): if input == "user_id": - if include_user_id: + if self.include_user_id: embedded_user_id = embedding_helper(input) encoded_other_features.append(embedded_user_id) if input in USER_FEATURES: - if include_user_features: + if self.include_user_features: embedded_user_feature = embedding_helper(input) encoded_other_features.append(embedded_user_feature) @@ -473,13 +477,13 @@ def movie_sequence_helper(encoded_sequence_movies): feature = keras.ops.expand_dims(feature, 1) encoded_transformer_features.append(feature) - if include_movie_features and input == "sequence_movie_ids": + if self.include_movie_features and input == "sequence_movie_ids": encoded_sequence_movies = embedding_helper(input) concat = layers.concatenate([self.movie_genres_vector(inputs[input]), encoded_sequence_movies]) encoded_sequence_movies = self.encoded_sequence_movies(concat) movie_sequence_helper(encoded_sequence_movies) - if ((not include_movie_features) and input == "sequence_movie_ids"): + if ((not self.include_movie_features) and input == "sequence_movie_ids"): encoded_sequence_movies = embedding_helper("sequence_movie_ids") movie_sequence_helper(encoded_sequence_movies) @@ -563,7 +567,7 @@ def create_model(): transformer_features = layers.LayerNormalization()(transformer_features) features = layers.Flatten()(transformer_features) - # Included the other features. + # Included the other_features. # Test for an empty returned tensor if other_features.shape[0] != 0: features = layers.concatenate( From cfdf6995f84215c60e5614cba249f893b642d2c6 Mon Sep 17 00:00:00 2001 From: Humbulani Date: Thu, 30 Jan 2025 01:55:59 +0200 Subject: [PATCH 3/6] introducing some efficiency --- .../structured_data/movielens_recommendations_transformers.py | 3 +++ 1 file changed, 3 insertions(+) diff --git a/examples/structured_data/movielens_recommendations_transformers.py b/examples/structured_data/movielens_recommendations_transformers.py index 4712534342..71714a91e9 100644 --- a/examples/structured_data/movielens_recommendations_transformers.py +++ b/examples/structured_data/movielens_recommendations_transformers.py @@ -447,11 +447,13 @@ def embedding_helper(input): if self.include_user_id: embedded_user_id = embedding_helper(input) encoded_other_features.append(embedded_user_id) + continue if input in USER_FEATURES: if self.include_user_features: embedded_user_feature = embedding_helper(input) encoded_other_features.append(embedded_user_feature) + continue # This function merely groups similar logic for include_movie_features=True, # or given as include_movie_features=False @@ -482,6 +484,7 @@ def movie_sequence_helper(encoded_sequence_movies): concat = layers.concatenate([self.movie_genres_vector(inputs[input]), encoded_sequence_movies]) encoded_sequence_movies = self.encoded_sequence_movies(concat) movie_sequence_helper(encoded_sequence_movies) + continue if ((not self.include_movie_features) and input == "sequence_movie_ids"): encoded_sequence_movies = embedding_helper("sequence_movie_ids") From 0e5fed2399aa8a50cd0dc469336438d6692a2352 Mon Sep 17 00:00:00 2001 From: Humbulani Date: Thu, 30 Jan 2025 10:19:20 +0200 Subject: [PATCH 4/6] addressing PR comments --- .../movielens_recommendations_transformers.py | 150 +++++++++--------- 1 file changed, 79 insertions(+), 71 deletions(-) diff --git a/examples/structured_data/movielens_recommendations_transformers.py b/examples/structured_data/movielens_recommendations_transformers.py index 71714a91e9..392fb9e283 100644 --- a/examples/structured_data/movielens_recommendations_transformers.py +++ b/examples/structured_data/movielens_recommendations_transformers.py @@ -62,7 +62,7 @@ import keras import numpy as np import pandas as pd -from keras import layers +from keras import layers, ops from keras.layers import StringLookup """ @@ -214,7 +214,6 @@ def create_sequences(values, window_size, step_size): ratings_data_transformed.ratings = ratings_data_transformed.ratings.apply( lambda x: ",".join([str(v) for v in x]) ) -# ratings_data_transformed['movie_id'] = movies["movie_id"].apply(lambda x: f"movie_{x}") del ratings_data_transformed["zip_code"] @@ -396,99 +395,107 @@ def __init__( # position and ratings embeddings layer self.encoded_sequence_movies_with_position_and_rating = layers.Multiply() - # Define a helper function to create an embedding layer for a feature. - def embedding_helper(input): + # Dictionary of embeddings for features/inputs to the model + self.embeddings = dict() + for input in self.inputs: + self.embedding_helper(input) - # A function to group the common logic of creating embeddings - def embed_create(input, vocabulary): - embedding_dims = int(math.sqrt(len(vocabulary))) - embedding_encoder = layers.Embedding( - input_dim=len(vocabulary), output_dim=embedding_dims, name=input - ) - self.embeddings[input] = embedding_encoder + # Define a helper function to create an embedding layer for a feature. + def embedding_helper(self, input): - if input == "target_movie_id" or input == "sequence_movie_ids": - # movie_id as the vocabulary for target_move_id and sequence_movie_ids - vocabulary = CATEGORICAL_FEATURES_WITH_VOCABULARY["movie_id"] + # A function to group the common logic of creating embeddings + def embed_create(input, vocabulary): + embedding_dims = int(math.sqrt(len(vocabulary))) + embedding_encoder = layers.Embedding( + input_dim=len(vocabulary), output_dim=embedding_dims, name=input + ) + self.embeddings[input] = embedding_encoder + + if input == "target_movie_id" or input == "sequence_movie_ids": + # movie_id as the vocabulary for target_move_id and sequence_movie_ids + vocabulary = CATEGORICAL_FEATURES_WITH_VOCABULARY["movie_id"] + embed_create(input, vocabulary) + if input in CATEGORICAL_FEATURES_WITH_VOCABULARY: + # movie_id is only used to determine vocabulary size + if input == "movie_id": + pass + else: + # This includes user_id + vocabulary = CATEGORICAL_FEATURES_WITH_VOCABULARY[input] embed_create(input, vocabulary) - if input in CATEGORICAL_FEATURES_WITH_VOCABULARY: - # movie_id is only used to determine vocabulary size - if input == "movie_id": - pass - else: - # This includes user_id - vocabulary = CATEGORICAL_FEATURES_WITH_VOCABULARY[input] - embed_create(input, vocabulary) - # Dictionary of embeddings for features/inputs to the model - self.embeddings = dict() - for input in self.inputs: - embedding_helper(input) + # This function merely groups similar logic for include_movie_features=True, + # or given as include_movie_features=False + def movie_sequence_helper( + self, inputs, encoded_sequence_movies, encoded_transformer_features + ): + # Create positional embedding. + positions = ops.arange(start=0, stop=sequence_length - 1, step=1) + encoded_positions = self.position_embedding_encoder(positions) + # Retrieve sequence ratings to incorporate them into the encoding of the movie. + sequence_ratings = inputs["sequence_ratings"] + sequence_ratings = ops.expand_dims(sequence_ratings, -1) + # Add the positional encoding to the movie encodings and multiply them by rating. + encoded_sequence_movies_with_position_and_rating = ( + self.encoded_sequence_movies_with_position_and_rating( + [ + (encoded_sequence_movies + encoded_positions), + sequence_ratings, + ] + ) + ) + # Construct the transformer inputs. + for i in range(sequence_length - 1): + feature = encoded_sequence_movies_with_position_and_rating[:, i, ...] + feature = ops.expand_dims(feature, 1) + encoded_transformer_features.append(feature) + + # Helper function to create embeddings + def create_embedding(self, inputs, input): + max_index = self.embeddings[input].input_dim - 1 # Clamp the indices + # torch had some index errors during embedding hence the clip function + encoded_feature = self.embeddings[input](ops.clip(inputs[input], 0, max_index)) + return encoded_feature def call(self, inputs): # Returned concatenated list of features encoded_transformer_features = [] encoded_other_features = [] - - # Helper function to create embeddings - def embedding_helper(input): - max_index = self.embeddings[input].input_dim - 1 # Clamp the indices - # torch had some index errors during embedding hence the clip function - encoded_feature = self.embeddings[input]( - keras.ops.clip(inputs[input], 0, max_index) - ) - return encoded_feature - ## Encode user features for input in inputs: - if (input in CATEGORICAL_FEATURES_WITH_VOCABULARY): + if input in CATEGORICAL_FEATURES_WITH_VOCABULARY: if input == "user_id": if self.include_user_id: - embedded_user_id = embedding_helper(input) + embedded_user_id = self.create_embedding(inputs, input) encoded_other_features.append(embedded_user_id) continue if input in USER_FEATURES: if self.include_user_features: - embedded_user_feature = embedding_helper(input) + embedded_user_feature = self.create_embedding(inputs, input) encoded_other_features.append(embedded_user_feature) continue - # This function merely groups similar logic for include_movie_features=True, - # or given as include_movie_features=False - def movie_sequence_helper(encoded_sequence_movies): - # Create positional embedding. - positions = keras.ops.arange(start=0, stop=sequence_length - 1, step=1) - encoded_positions = self.position_embedding_encoder(positions) - # Retrieve sequence ratings to incorporate them into the encoding of the movie. - sequence_ratings = inputs["sequence_ratings"] - sequence_ratings = keras.ops.expand_dims(sequence_ratings, -1) - # Add the positional encoding to the movie encodings and multiply them by rating. - encoded_sequence_movies_with_position_and_rating = ( - self.encoded_sequence_movies_with_position_and_rating( - [ - (encoded_sequence_movies + encoded_positions), - sequence_ratings, - ] - ) - ) - # Construct the transformer inputs. - for i in range(sequence_length - 1): - feature = encoded_sequence_movies_with_position_and_rating[:, i, ...] - feature = keras.ops.expand_dims(feature, 1) - encoded_transformer_features.append(feature) - if self.include_movie_features and input == "sequence_movie_ids": - encoded_sequence_movies = embedding_helper(input) - concat = layers.concatenate([self.movie_genres_vector(inputs[input]), encoded_sequence_movies]) + encoded_sequence_movies = self.create_embedding(inputs, input) + concat = layers.concatenate( + [ + self.movie_genres_vector(inputs[input]), + encoded_sequence_movies, + ] + ) encoded_sequence_movies = self.encoded_sequence_movies(concat) - movie_sequence_helper(encoded_sequence_movies) + self.movie_sequence_helper( + inputs, encoded_sequence_movies, encoded_transformer_features + ) continue - if ((not self.include_movie_features) and input == "sequence_movie_ids"): - encoded_sequence_movies = embedding_helper("sequence_movie_ids") - movie_sequence_helper(encoded_sequence_movies) + if (not self.include_movie_features) and input == "sequence_movie_ids": + encoded_sequence_movies = self.create_embedding(inputs, input) + self.movie_sequence_helper( + inputs, encoded_sequence_movies, encoded_transformer_features + ) # Create a single embedding vector for the user features if len(encoded_other_features) > 1: @@ -496,9 +503,10 @@ def movie_sequence_helper(encoded_sequence_movies): elif len(encoded_other_features) == 1: encoded_other_features = encoded_other_features[0] else: - encoded_other_features = keras.ops.zeros((0,)) + # An empty tensor required for keras symbolic model build + encoded_other_features = ops.zeros((0,)) # The target_movie_id embedding and appending to transformer features - encoded_target_movie = embedding_helper("target_movie_id") + encoded_target_movie = self.create_embedding(inputs, "target_movie_id") encoded_transformer_features.append(encoded_target_movie) # Concatenation of transformer features encoded_transformer_features = layers.concatenate( From 4dbba56f010256cdccfc69b46286f51c9aade5b4 Mon Sep 17 00:00:00 2001 From: Humbulani Date: Thu, 30 Jan 2025 18:19:42 +0200 Subject: [PATCH 5/6] removed the extensive refactoring --- .../movielens_recommendations_transformers.py | 282 +++++++----------- 1 file changed, 111 insertions(+), 171 deletions(-) diff --git a/examples/structured_data/movielens_recommendations_transformers.py b/examples/structured_data/movielens_recommendations_transformers.py index 392fb9e283..5ff5532663 100644 --- a/examples/structured_data/movielens_recommendations_transformers.py +++ b/examples/structured_data/movielens_recommendations_transformers.py @@ -258,7 +258,7 @@ def create_sequences(values, window_size, step_size): """ ## Encode input features -The `Embeddings` layer works as follows: +The `encode_input_features` function works as follows: 1. Each categorical user feature is encoded using `layers.Embedding`, with embedding dimension equals to the square root of the vocabulary size of the feature. @@ -352,171 +352,113 @@ def encoding_helper(feature_name): return dataset -# This layer mainly performs embeddings, it receives indexes from processing -class Embeddings(layers.Layer): - - def __init__( - self, - inputs, - include_user_id=True, - include_user_features=True, - include_movie_features=True, - **kwargs, - ): - super().__init__(**kwargs) - self.inputs = inputs - # Whether to include user_id, user_features and movie_features - self.include_user_id = include_user_id - self.include_user_features = include_user_features - self.include_movie_features = include_movie_features - # Movie genres vector - genre_vectors = movies[genres].to_numpy() - movie_embedding_dims = int( - math.sqrt(len(CATEGORICAL_FEATURES_WITH_VOCABULARY["movie_id"])) +def encode_input_features( + inputs, + include_user_id, + include_user_features, + include_movie_features, +): + encoded_transformer_features = [] + encoded_other_features = [] + + other_feature_names = [] + if include_user_id: + other_feature_names.append("user_id") + if include_user_features: + other_feature_names.extend(USER_FEATURES) + + ## Encode user features + for feature_name in other_feature_names: + vocabulary = CATEGORICAL_FEATURES_WITH_VOCABULARY[feature_name] + # Compute embedding dimensions + embedding_dims = int(math.sqrt(len(vocabulary))) + # Create an embedding layer with the specified dimensions. + embedding_encoder = layers.Embedding( + input_dim=len(vocabulary), + output_dim=embedding_dims, + name=f"{feature_name}_embedding", ) - self.movie_genres_vector = layers.Embedding( - input_dim=genre_vectors.shape[0], - output_dim=genre_vectors.shape[1], - embeddings_initializer=keras.initializers.Constant(genre_vectors), - trainable=False, - name="genres_vector", - ) - self.encoded_sequence_movies = layers.Dense( - units=movie_embedding_dims, - activation="relu", - name="process_movie_embedding_with_genres", - ) - # Positional embeddings layer for movie sequences - self.position_embedding_encoder = layers.Embedding( - input_dim=sequence_length, - output_dim=movie_embedding_dims, - name="position_embedding", - ) - # position and ratings embeddings layer - self.encoded_sequence_movies_with_position_and_rating = layers.Multiply() - - # Dictionary of embeddings for features/inputs to the model - self.embeddings = dict() - for input in self.inputs: - self.embedding_helper(input) - - # Define a helper function to create an embedding layer for a feature. - def embedding_helper(self, input): - - # A function to group the common logic of creating embeddings - def embed_create(input, vocabulary): - embedding_dims = int(math.sqrt(len(vocabulary))) - embedding_encoder = layers.Embedding( - input_dim=len(vocabulary), output_dim=embedding_dims, name=input - ) - self.embeddings[input] = embedding_encoder - - if input == "target_movie_id" or input == "sequence_movie_ids": - # movie_id as the vocabulary for target_move_id and sequence_movie_ids - vocabulary = CATEGORICAL_FEATURES_WITH_VOCABULARY["movie_id"] - embed_create(input, vocabulary) - if input in CATEGORICAL_FEATURES_WITH_VOCABULARY: - # movie_id is only used to determine vocabulary size - if input == "movie_id": - pass - else: - # This includes user_id - vocabulary = CATEGORICAL_FEATURES_WITH_VOCABULARY[input] - embed_create(input, vocabulary) - - # This function merely groups similar logic for include_movie_features=True, - # or given as include_movie_features=False - def movie_sequence_helper( - self, inputs, encoded_sequence_movies, encoded_transformer_features - ): - # Create positional embedding. - positions = ops.arange(start=0, stop=sequence_length - 1, step=1) - encoded_positions = self.position_embedding_encoder(positions) - # Retrieve sequence ratings to incorporate them into the encoding of the movie. - sequence_ratings = inputs["sequence_ratings"] - sequence_ratings = ops.expand_dims(sequence_ratings, -1) - # Add the positional encoding to the movie encodings and multiply them by rating. - encoded_sequence_movies_with_position_and_rating = ( - self.encoded_sequence_movies_with_position_and_rating( - [ - (encoded_sequence_movies + encoded_positions), - sequence_ratings, - ] - ) - ) - # Construct the transformer inputs. - for i in range(sequence_length - 1): - feature = encoded_sequence_movies_with_position_and_rating[:, i, ...] - feature = ops.expand_dims(feature, 1) - encoded_transformer_features.append(feature) - - # Helper function to create embeddings - def create_embedding(self, inputs, input): - max_index = self.embeddings[input].input_dim - 1 # Clamp the indices - # torch had some index errors during embedding hence the clip function - encoded_feature = self.embeddings[input](ops.clip(inputs[input], 0, max_index)) - return encoded_feature - - def call(self, inputs): - - # Returned concatenated list of features - encoded_transformer_features = [] - encoded_other_features = [] - ## Encode user features - for input in inputs: - if input in CATEGORICAL_FEATURES_WITH_VOCABULARY: - if input == "user_id": - if self.include_user_id: - embedded_user_id = self.create_embedding(inputs, input) - encoded_other_features.append(embedded_user_id) - continue - - if input in USER_FEATURES: - if self.include_user_features: - embedded_user_feature = self.create_embedding(inputs, input) - encoded_other_features.append(embedded_user_feature) - continue - - if self.include_movie_features and input == "sequence_movie_ids": - encoded_sequence_movies = self.create_embedding(inputs, input) - concat = layers.concatenate( - [ - self.movie_genres_vector(inputs[input]), - encoded_sequence_movies, - ] - ) - encoded_sequence_movies = self.encoded_sequence_movies(concat) - self.movie_sequence_helper( - inputs, encoded_sequence_movies, encoded_transformer_features - ) - continue - - if (not self.include_movie_features) and input == "sequence_movie_ids": - encoded_sequence_movies = self.create_embedding(inputs, input) - self.movie_sequence_helper( - inputs, encoded_sequence_movies, encoded_transformer_features - ) + # Convert the index values to embedding representations. + encoded_other_features.append(embedding_encoder(inputs[feature_name])) + + ## Create a single embedding vector for the user features + if len(encoded_other_features) > 1: + encoded_other_features = layers.concatenate(encoded_other_features) + elif len(encoded_other_features) == 1: + encoded_other_features = encoded_other_features[0] + else: + encoded_other_features = None + + ## Create a movie embedding encoder + movie_vocabulary = CATEGORICAL_FEATURES_WITH_VOCABULARY["movie_id"] + movie_embedding_dims = int(math.sqrt(len(movie_vocabulary))) + # Create an embedding layer with the specified dimensions. + movie_embedding_encoder = layers.Embedding( + input_dim=len(movie_vocabulary), + output_dim=movie_embedding_dims, + name=f"movie_embedding", + ) + # Create a vector lookup for movie genres. + genre_vectors = movies[genres].to_numpy() + movie_genres_lookup = layers.Embedding( + input_dim=genre_vectors.shape[0], + output_dim=genre_vectors.shape[1], + embeddings_initializer=keras.initializers.Constant(genre_vectors), + trainable=False, + name="genres_vector", + ) + # Create a processing layer for genres. + movie_embedding_processor = layers.Dense( + units=movie_embedding_dims, + activation="relu", + name="process_movie_embedding_with_genres", + ) - # Create a single embedding vector for the user features - if len(encoded_other_features) > 1: - encoded_other_features = layers.concatenate(encoded_other_features) - elif len(encoded_other_features) == 1: - encoded_other_features = encoded_other_features[0] - else: - # An empty tensor required for keras symbolic model build - encoded_other_features = ops.zeros((0,)) - # The target_movie_id embedding and appending to transformer features - encoded_target_movie = self.create_embedding(inputs, "target_movie_id") - encoded_transformer_features.append(encoded_target_movie) - # Concatenation of transformer features - encoded_transformer_features = layers.concatenate( - encoded_transformer_features, axis=1 - ) - return encoded_transformer_features, encoded_other_features + ## Define a function to encode a given movie id. + def encode_movie(movie_id): + # Convert the string input values into integer indices. + movie_embedding = movie_embedding_encoder(movie_id) + encoded_movie = movie_embedding + if include_movie_features: + movie_genres_vector = movie_genres_lookup(movie_id) + encoded_movie = movie_embedding_processor( + layers.concatenate([movie_embedding, movie_genres_vector]) + ) + return encoded_movie + + ## Encoding target_movie_id + target_movie_id = inputs["target_movie_id"] + encoded_target_movie = encode_movie(target_movie_id) + + ## Encoding sequence movie_ids. + sequence_movies_ids = inputs["sequence_movie_ids"] + encoded_sequence_movies = encode_movie(sequence_movies_ids) + # Create positional embedding. + position_embedding_encoder = layers.Embedding( + input_dim=sequence_length, + output_dim=movie_embedding_dims, + name="position_embedding", + ) + positions = ops.arange(start=0, stop=sequence_length - 1, step=1) + encodded_positions = position_embedding_encoder(positions) + # Retrieve sequence ratings to incorporate them into the encoding of the movie. + sequence_ratings = inputs["sequence_ratings"] + sequence_ratings = ops.expand_dims(sequence_ratings, -1) + # Add the positional encoding to the movie encodings and multiply them by rating. + encoded_sequence_movies_with_poistion_and_rating = layers.Multiply()( + [(encoded_sequence_movies + encodded_positions), sequence_ratings] + ) - # Surpress build warnings - def build(self, input_shape): - self.built = True + # Construct the transformer inputs. + for i in range(sequence_length - 1): + feature = encoded_sequence_movies_with_poistion_and_rating[:, i, ...] + feature = ops.expand_dims(feature, 1) + encoded_transformer_features.append(feature) + encoded_transformer_features.append(encoded_target_movie) + encoded_transformer_features = layers.concatenate( + encoded_transformer_features, axis=1 + ) + return encoded_transformer_features, encoded_other_features """ @@ -546,9 +488,9 @@ def create_model_inputs(): ## Create a BST model """ -include_user_id = True -include_user_features = True -include_movie_features = True +include_user_id = False +include_user_features = False +include_movie_features = False hidden_units = [256, 128] dropout_rate = 0.1 @@ -558,10 +500,9 @@ def create_model_inputs(): def create_model(): inputs = create_model_inputs() - transformer_features, other_features = Embeddings( + transformer_features, other_features = encode_input_features( inputs, include_user_id, include_user_features, include_movie_features - )(inputs) - + ) # Create a multi-headed attention layer. attention_output = layers.MultiHeadAttention( num_heads=num_heads, key_dim=transformer_features.shape[2], dropout=dropout_rate @@ -579,8 +520,7 @@ def create_model(): features = layers.Flatten()(transformer_features) # Included the other_features. - # Test for an empty returned tensor - if other_features.shape[0] != 0: + if other_features is not None: features = layers.concatenate( [features, layers.Reshape([other_features.shape[-1]])(other_features)] ) From 619fe0c9073f04ee5a7d3ab1d58defd9286e1f14 Mon Sep 17 00:00:00 2001 From: Humbulani Date: Thu, 6 Feb 2025 11:14:16 +0200 Subject: [PATCH 6/6] generating the .md and .ipynb files --- ...vielens_recommendations_transformers.ipynb | 235 +- .../movielens_recommendations_transformers.md | 7140 +++++++++-------- .../movielens_recommendations_transformers.py | 10 +- 3 files changed, 3703 insertions(+), 3682 deletions(-) diff --git a/examples/structured_data/ipynb/movielens_recommendations_transformers.ipynb b/examples/structured_data/ipynb/movielens_recommendations_transformers.ipynb index db7e3e8542..819e2ff08e 100644 --- a/examples/structured_data/ipynb/movielens_recommendations_transformers.ipynb +++ b/examples/structured_data/ipynb/movielens_recommendations_transformers.ipynb @@ -10,7 +10,7 @@ "\n", "**Author:** [Khalid Salama](https://www.linkedin.com/in/khalid-salama-24403144/)
\n", "**Date created:** 2020/12/30
\n", - "**Last modified:** 2025/01/03
\n", + "**Last modified:** 2025/01/27
\n", "**Description:** Rating rate prediction using the Behavior Sequence Transformer (BST) model on the Movielens." ] }, @@ -82,17 +82,16 @@ "source": [ "import os\n", "\n", - "os.environ[\"KERAS_BACKEND\"] = \"tensorflow\"\n", + "os.environ[\"KERAS_BACKEND\"] = \"jax\" # or torch, or tensorflow\n", "\n", "import math\n", "from zipfile import ZipFile\n", "from urllib.request import urlretrieve\n", - "\n", - "import keras\n", "import numpy as np\n", "import pandas as pd\n", - "import tensorflow as tf\n", - "from keras import layers\n", + "\n", + "import keras\n", + "from keras import layers, ops\n", "from keras.layers import StringLookup" ] }, @@ -408,7 +407,8 @@ "\n", "USER_FEATURES = [\"sex\", \"age_group\", \"occupation\"]\n", "\n", - "MOVIE_FEATURES = [\"genres\"]" + "MOVIE_FEATURES = [\"genres\"]\n", + "" ] }, { @@ -417,7 +417,30 @@ "colab_type": "text" }, "source": [ - "## Create `tf.data.Dataset` for training and evaluation" + "## Encode input features\n", + "\n", + "The `encode_input_features` function works as follows:\n", + "\n", + "1. Each categorical user feature is encoded using `layers.Embedding`, with embedding\n", + "dimension equals to the square root of the vocabulary size of the feature.\n", + "The embeddings of these features are concatenated to form a single input tensor.\n", + "\n", + "2. Each movie in the movie sequence and the target movie is encoded `layers.Embedding`,\n", + "where the dimension size is the square root of the number of movies.\n", + "\n", + "3. A multi-hot genres vector for each movie is concatenated with its embedding vector,\n", + "and processed using a non-linear `layers.Dense` to output a vector of the same movie\n", + "embedding dimensions.\n", + "\n", + "4. A positional embedding is added to each movie embedding in the sequence, and then\n", + "multiplied by its rating from the ratings sequence.\n", + "\n", + "5. The target movie embedding is concatenated to the sequence movie embeddings, producing\n", + "a tensor with the shape of `[batch size, sequence length, embedding size]`, as expected\n", + "by the attention layer for the transformer architecture.\n", + "\n", + "6. The method returns a tuple of two elements: `encoded_transformer_features` and\n", + "`encoded_other_features`." ] }, { @@ -428,25 +451,60 @@ }, "outputs": [], "source": [ + "# Required for tf.data.Dataset\n", + "import tensorflow as tf\n", + "\n", "\n", "def get_dataset_from_csv(csv_file_path, batch_size, shuffle=True):\n", + "\n", " def process(features):\n", " movie_ids_string = features[\"sequence_movie_ids\"]\n", " sequence_movie_ids = tf.strings.split(movie_ids_string, \",\").to_tensor()\n", - "\n", " # The last movie id in the sequence is the target movie.\n", " features[\"target_movie_id\"] = sequence_movie_ids[:, -1]\n", " features[\"sequence_movie_ids\"] = sequence_movie_ids[:, :-1]\n", - "\n", + " # Sequence ratings\n", " ratings_string = features[\"sequence_ratings\"]\n", " sequence_ratings = tf.strings.to_number(\n", " tf.strings.split(ratings_string, \",\"), tf.dtypes.float32\n", " ).to_tensor()\n", - "\n", " # The last rating in the sequence is the target for the model to predict.\n", " target = sequence_ratings[:, -1]\n", " features[\"sequence_ratings\"] = sequence_ratings[:, :-1]\n", "\n", + " def encoding_helper(feature_name):\n", + "\n", + " # This are target_movie_id and sequence_movie_ids and they have the same\n", + " # vocabulary as movie_id.\n", + " if feature_name not in CATEGORICAL_FEATURES_WITH_VOCABULARY:\n", + " vocabulary = CATEGORICAL_FEATURES_WITH_VOCABULARY[\"movie_id\"]\n", + " index_lookup = StringLookup(\n", + " vocabulary=vocabulary, mask_token=None, num_oov_indices=0\n", + " )\n", + " # Convert the string input values into integer indices.\n", + " value_index = index_lookup(features[feature_name])\n", + " features[feature_name] = value_index\n", + " else:\n", + " # movie_id is not part of the features, hence not processed. It was mainly required\n", + " # for its vocabulary above.\n", + " if feature_name == \"movie_id\":\n", + " pass\n", + " else:\n", + " vocabulary = CATEGORICAL_FEATURES_WITH_VOCABULARY[feature_name]\n", + " index_lookup = StringLookup(\n", + " vocabulary=vocabulary, mask_token=None, num_oov_indices=0\n", + " )\n", + " # Convert the string input values into integer indices.\n", + " value_index = index_lookup(features[feature_name])\n", + " features[feature_name] = value_index\n", + "\n", + " # Encode the user features\n", + " for feature_name in CATEGORICAL_FEATURES_WITH_VOCABULARY:\n", + " encoding_helper(feature_name)\n", + " # Encoding target_movie_id and returning it as the target variable\n", + " encoding_helper(\"target_movie_id\")\n", + " # Encoding sequence movie_ids.\n", + " encoding_helper(\"sequence_movie_ids\")\n", " return dict(features), target\n", "\n", " dataset = tf.data.experimental.make_csv_dataset(\n", @@ -458,94 +516,14 @@ " field_delim=\"|\",\n", " shuffle=shuffle,\n", " ).map(process)\n", - "\n", " return dataset\n", - "" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "colab_type": "text" - }, - "source": [ - "## Create model inputs" - ] - }, - { - "cell_type": "code", - "execution_count": 0, - "metadata": { - "colab_type": "code" - }, - "outputs": [], - "source": [ - "\n", - "def create_model_inputs():\n", - " return {\n", - " \"user_id\": keras.Input(name=\"user_id\", shape=(1,), dtype=\"string\"),\n", - " \"sequence_movie_ids\": keras.Input(\n", - " name=\"sequence_movie_ids\", shape=(sequence_length - 1,), dtype=\"string\"\n", - " ),\n", - " \"target_movie_id\": keras.Input(\n", - " name=\"target_movie_id\", shape=(1,), dtype=\"string\"\n", - " ),\n", - " \"sequence_ratings\": keras.Input(\n", - " name=\"sequence_ratings\", shape=(sequence_length - 1,), dtype=tf.float32\n", - " ),\n", - " \"sex\": keras.Input(name=\"sex\", shape=(1,), dtype=\"string\"),\n", - " \"age_group\": keras.Input(name=\"age_group\", shape=(1,), dtype=\"string\"),\n", - " \"occupation\": keras.Input(name=\"occupation\", shape=(1,), dtype=\"string\"),\n", - " }\n", - "" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "colab_type": "text" - }, - "source": [ - "## Encode input features\n", - "\n", - "The `encode_input_features` method works as follows:\n", - "\n", - "1. Each categorical user feature is encoded using `layers.Embedding`, with embedding\n", - "dimension equals to the square root of the vocabulary size of the feature.\n", - "The embeddings of these features are concatenated to form a single input tensor.\n", "\n", - "2. Each movie in the movie sequence and the target movie is encoded `layers.Embedding`,\n", - "where the dimension size is the square root of the number of movies.\n", - "\n", - "3. A multi-hot genres vector for each movie is concatenated with its embedding vector,\n", - "and processed using a non-linear `layers.Dense` to output a vector of the same movie\n", - "embedding dimensions.\n", - "\n", - "4. A positional embedding is added to each movie embedding in the sequence, and then\n", - "multiplied by its rating from the ratings sequence.\n", - "\n", - "5. The target movie embedding is concatenated to the sequence movie embeddings, producing\n", - "a tensor with the shape of `[batch size, sequence length, embedding size]`, as expected\n", - "by the attention layer for the transformer architecture.\n", - "\n", - "6. The method returns a tuple of two elements: `encoded_transformer_features` and\n", - "`encoded_other_features`." - ] - }, - { - "cell_type": "code", - "execution_count": 0, - "metadata": { - "colab_type": "code" - }, - "outputs": [], - "source": [ "\n", "def encode_input_features(\n", " inputs,\n", - " include_user_id=True,\n", - " include_user_features=True,\n", - " include_movie_features=True,\n", + " include_user_id,\n", + " include_user_features,\n", + " include_movie_features,\n", "):\n", " encoded_transformer_features = []\n", " encoded_other_features = []\n", @@ -558,11 +536,7 @@ "\n", " ## Encode user features\n", " for feature_name in other_feature_names:\n", - " # Convert the string input values into integer indices.\n", " vocabulary = CATEGORICAL_FEATURES_WITH_VOCABULARY[feature_name]\n", - " idx = StringLookup(vocabulary=vocabulary, mask_token=None, num_oov_indices=0)(\n", - " inputs[feature_name]\n", - " )\n", " # Compute embedding dimensions\n", " embedding_dims = int(math.sqrt(len(vocabulary)))\n", " # Create an embedding layer with the specified dimensions.\n", @@ -572,7 +546,7 @@ " name=f\"{feature_name}_embedding\",\n", " )\n", " # Convert the index values to embedding representations.\n", - " encoded_other_features.append(embedding_encoder(idx))\n", + " encoded_other_features.append(embedding_encoder(inputs[feature_name]))\n", "\n", " ## Create a single embedding vector for the user features\n", " if len(encoded_other_features) > 1:\n", @@ -585,13 +559,6 @@ " ## Create a movie embedding encoder\n", " movie_vocabulary = CATEGORICAL_FEATURES_WITH_VOCABULARY[\"movie_id\"]\n", " movie_embedding_dims = int(math.sqrt(len(movie_vocabulary)))\n", - " # Create a lookup to convert string values to integer indices.\n", - " movie_index_lookup = StringLookup(\n", - " vocabulary=movie_vocabulary,\n", - " mask_token=None,\n", - " num_oov_indices=0,\n", - " name=\"movie_index_lookup\",\n", - " )\n", " # Create an embedding layer with the specified dimensions.\n", " movie_embedding_encoder = layers.Embedding(\n", " input_dim=len(movie_vocabulary),\n", @@ -617,11 +584,10 @@ " ## Define a function to encode a given movie id.\n", " def encode_movie(movie_id):\n", " # Convert the string input values into integer indices.\n", - " movie_idx = movie_index_lookup(movie_id)\n", - " movie_embedding = movie_embedding_encoder(movie_idx)\n", + " movie_embedding = movie_embedding_encoder(movie_id)\n", " encoded_movie = movie_embedding\n", " if include_movie_features:\n", - " movie_genres_vector = movie_genres_lookup(movie_idx)\n", + " movie_genres_vector = movie_genres_lookup(movie_id)\n", " encoded_movie = movie_embedding_processor(\n", " layers.concatenate([movie_embedding, movie_genres_vector])\n", " )\n", @@ -640,11 +606,11 @@ " output_dim=movie_embedding_dims,\n", " name=\"position_embedding\",\n", " )\n", - " positions = tf.range(start=0, limit=sequence_length - 1, delta=1)\n", + " positions = ops.arange(start=0, stop=sequence_length - 1, step=1)\n", " encodded_positions = position_embedding_encoder(positions)\n", " # Retrieve sequence ratings to incorporate them into the encoding of the movie.\n", " sequence_ratings = inputs[\"sequence_ratings\"]\n", - " sequence_ratings = keras.ops.expand_dims(sequence_ratings, -1)\n", + " sequence_ratings = ops.expand_dims(sequence_ratings, -1)\n", " # Add the positional encoding to the movie encodings and multiply them by rating.\n", " encoded_sequence_movies_with_poistion_and_rating = layers.Multiply()(\n", " [(encoded_sequence_movies + encodded_positions), sequence_ratings]\n", @@ -653,18 +619,53 @@ " # Construct the transformer inputs.\n", " for i in range(sequence_length - 1):\n", " feature = encoded_sequence_movies_with_poistion_and_rating[:, i, ...]\n", - " feature = keras.ops.expand_dims(feature, 1)\n", + " feature = ops.expand_dims(feature, 1)\n", " encoded_transformer_features.append(feature)\n", " encoded_transformer_features.append(encoded_target_movie)\n", - "\n", " encoded_transformer_features = layers.concatenate(\n", " encoded_transformer_features, axis=1\n", " )\n", - "\n", " return encoded_transformer_features, encoded_other_features\n", "" ] }, + { + "cell_type": "markdown", + "metadata": { + "colab_type": "text" + }, + "source": [ + "## Create model inputs" + ] + }, + { + "cell_type": "code", + "execution_count": 0, + "metadata": { + "colab_type": "code" + }, + "outputs": [], + "source": [ + "\n", + "def create_model_inputs():\n", + " return {\n", + " \"user_id\": keras.Input(name=\"user_id\", shape=(1,), dtype=\"int32\"),\n", + " \"sequence_movie_ids\": keras.Input(\n", + " name=\"sequence_movie_ids\", shape=(sequence_length - 1,), dtype=\"int32\"\n", + " ),\n", + " \"target_movie_id\": keras.Input(\n", + " name=\"target_movie_id\", shape=(1,), dtype=\"int32\"\n", + " ),\n", + " \"sequence_ratings\": keras.Input(\n", + " name=\"sequence_ratings\", shape=(sequence_length - 1,), dtype=\"float32\"\n", + " ),\n", + " \"sex\": keras.Input(name=\"sex\", shape=(1,), dtype=\"int32\"),\n", + " \"age_group\": keras.Input(name=\"age_group\", shape=(1,), dtype=\"int32\"),\n", + " \"occupation\": keras.Input(name=\"occupation\", shape=(1,), dtype=\"int32\"),\n", + " }\n", + "" + ] + }, { "cell_type": "markdown", "metadata": { @@ -692,11 +693,11 @@ "\n", "\n", "def create_model():\n", + "\n", " inputs = create_model_inputs()\n", " transformer_features, other_features = encode_input_features(\n", " inputs, include_user_id, include_user_features, include_movie_features\n", " )\n", - "\n", " # Create a multi-headed attention layer.\n", " attention_output = layers.MultiHeadAttention(\n", " num_heads=num_heads, key_dim=transformer_features.shape[2], dropout=dropout_rate\n", @@ -713,7 +714,7 @@ " transformer_features = layers.LayerNormalization()(transformer_features)\n", " features = layers.Flatten()(transformer_features)\n", "\n", - " # Included the other features.\n", + " # Included the other_features.\n", " if other_features is not None:\n", " features = layers.concatenate(\n", " [features, layers.Reshape([other_features.shape[-1]])(other_features)]\n", @@ -725,7 +726,6 @@ " features = layers.BatchNormalization()(features)\n", " features = layers.LeakyReLU()(features)\n", " features = layers.Dropout(dropout_rate)(features)\n", - "\n", " outputs = layers.Dense(units=1)(features)\n", " model = keras.Model(inputs=inputs, outputs=outputs)\n", " return model\n", @@ -759,6 +759,7 @@ ")\n", "\n", "# Read the training data.\n", + "\n", "train_dataset = get_dataset_from_csv(\"train_data.csv\", batch_size=265, shuffle=True)\n", "\n", "# Fit the model with the training data.\n", diff --git a/examples/structured_data/md/movielens_recommendations_transformers.md b/examples/structured_data/md/movielens_recommendations_transformers.md index 173e0ffe9f..5901ad7583 100644 --- a/examples/structured_data/md/movielens_recommendations_transformers.md +++ b/examples/structured_data/md/movielens_recommendations_transformers.md @@ -2,7 +2,7 @@ **Author:** [Khalid Salama](https://www.linkedin.com/in/khalid-salama-24403144/)
**Date created:** 2020/12/30
-**Last modified:** 2025/01/03
+**Last modified:** 2025/01/27
**Description:** Rating rate prediction using the Behavior Sequence Transformer (BST) model on the Movielens. @@ -54,17 +54,16 @@ as expected by the BST model. ```python import os -os.environ["KERAS_BACKEND"] = "tensorflow" +os.environ["KERAS_BACKEND"] = "jax" # or torch, or tensorflow import math from zipfile import ZipFile from urllib.request import urlretrieve - -import keras import numpy as np import pandas as pd -import tensorflow as tf -from keras import layers + +import keras +from keras import layers, ops from keras.layers import StringLookup ``` @@ -266,32 +265,91 @@ CATEGORICAL_FEATURES_WITH_VOCABULARY = { USER_FEATURES = ["sex", "age_group", "occupation"] MOVIE_FEATURES = ["genres"] + ``` --- -## Create `tf.data.Dataset` for training and evaluation +## Encode input features + +The `encode_input_features` function works as follows: + +1. Each categorical user feature is encoded using `layers.Embedding`, with embedding +dimension equals to the square root of the vocabulary size of the feature. +The embeddings of these features are concatenated to form a single input tensor. + +2. Each movie in the movie sequence and the target movie is encoded `layers.Embedding`, +where the dimension size is the square root of the number of movies. + +3. A multi-hot genres vector for each movie is concatenated with its embedding vector, +and processed using a non-linear `layers.Dense` to output a vector of the same movie +embedding dimensions. + +4. A positional embedding is added to each movie embedding in the sequence, and then +multiplied by its rating from the ratings sequence. + +5. The target movie embedding is concatenated to the sequence movie embeddings, producing +a tensor with the shape of `[batch size, sequence length, embedding size]`, as expected +by the attention layer for the transformer architecture. + +6. The method returns a tuple of two elements: `encoded_transformer_features` and +`encoded_other_features`. ```python +# Required for tf.data.Dataset +import tensorflow as tf + def get_dataset_from_csv(csv_file_path, batch_size, shuffle=True): + def process(features): movie_ids_string = features["sequence_movie_ids"] sequence_movie_ids = tf.strings.split(movie_ids_string, ",").to_tensor() - # The last movie id in the sequence is the target movie. features["target_movie_id"] = sequence_movie_ids[:, -1] features["sequence_movie_ids"] = sequence_movie_ids[:, :-1] - + # Sequence ratings ratings_string = features["sequence_ratings"] sequence_ratings = tf.strings.to_number( tf.strings.split(ratings_string, ","), tf.dtypes.float32 ).to_tensor() - # The last rating in the sequence is the target for the model to predict. target = sequence_ratings[:, -1] features["sequence_ratings"] = sequence_ratings[:, :-1] + def encoding_helper(feature_name): + + # This are target_movie_id and sequence_movie_ids and they have the same + # vocabulary as movie_id. + if feature_name not in CATEGORICAL_FEATURES_WITH_VOCABULARY: + vocabulary = CATEGORICAL_FEATURES_WITH_VOCABULARY["movie_id"] + index_lookup = StringLookup( + vocabulary=vocabulary, mask_token=None, num_oov_indices=0 + ) + # Convert the string input values into integer indices. + value_index = index_lookup(features[feature_name]) + features[feature_name] = value_index + else: + # movie_id is not part of the features, hence not processed. It was mainly required + # for its vocabulary above. + if feature_name == "movie_id": + pass + else: + vocabulary = CATEGORICAL_FEATURES_WITH_VOCABULARY[feature_name] + index_lookup = StringLookup( + vocabulary=vocabulary, mask_token=None, num_oov_indices=0 + ) + # Convert the string input values into integer indices. + value_index = index_lookup(features[feature_name]) + features[feature_name] = value_index + + # Encode the user features + for feature_name in CATEGORICAL_FEATURES_WITH_VOCABULARY: + encoding_helper(feature_name) + # Encoding target_movie_id and returning it as the target variable + encoding_helper("target_movie_id") + # Encoding sequence movie_ids. + encoding_helper("sequence_movie_ids") return dict(features), target dataset = tf.data.experimental.make_csv_dataset( @@ -303,70 +361,14 @@ def get_dataset_from_csv(csv_file_path, batch_size, shuffle=True): field_delim="|", shuffle=shuffle, ).map(process) - return dataset -``` - ---- -## Create model inputs - - -```python - -def create_model_inputs(): - return { - "user_id": keras.Input(name="user_id", shape=(1,), dtype="string"), - "sequence_movie_ids": keras.Input( - name="sequence_movie_ids", shape=(sequence_length - 1,), dtype="string" - ), - "target_movie_id": keras.Input( - name="target_movie_id", shape=(1,), dtype="string" - ), - "sequence_ratings": keras.Input( - name="sequence_ratings", shape=(sequence_length - 1,), dtype=tf.float32 - ), - "sex": keras.Input(name="sex", shape=(1,), dtype="string"), - "age_group": keras.Input(name="age_group", shape=(1,), dtype="string"), - "occupation": keras.Input(name="occupation", shape=(1,), dtype="string"), - } - -``` - ---- -## Encode input features - -The `encode_input_features` method works as follows: - -1. Each categorical user feature is encoded using `layers.Embedding`, with embedding -dimension equals to the square root of the vocabulary size of the feature. -The embeddings of these features are concatenated to form a single input tensor. - -2. Each movie in the movie sequence and the target movie is encoded `layers.Embedding`, -where the dimension size is the square root of the number of movies. - -3. A multi-hot genres vector for each movie is concatenated with its embedding vector, -and processed using a non-linear `layers.Dense` to output a vector of the same movie -embedding dimensions. - -4. A positional embedding is added to each movie embedding in the sequence, and then -multiplied by its rating from the ratings sequence. - -5. The target movie embedding is concatenated to the sequence movie embeddings, producing -a tensor with the shape of `[batch size, sequence length, embedding size]`, as expected -by the attention layer for the transformer architecture. - -6. The method returns a tuple of two elements: `encoded_transformer_features` and -`encoded_other_features`. - - -```python def encode_input_features( inputs, - include_user_id=True, - include_user_features=True, - include_movie_features=True, + include_user_id, + include_user_features, + include_movie_features, ): encoded_transformer_features = [] encoded_other_features = [] @@ -379,11 +381,7 @@ def encode_input_features( ## Encode user features for feature_name in other_feature_names: - # Convert the string input values into integer indices. vocabulary = CATEGORICAL_FEATURES_WITH_VOCABULARY[feature_name] - idx = StringLookup(vocabulary=vocabulary, mask_token=None, num_oov_indices=0)( - inputs[feature_name] - ) # Compute embedding dimensions embedding_dims = int(math.sqrt(len(vocabulary))) # Create an embedding layer with the specified dimensions. @@ -393,7 +391,7 @@ def encode_input_features( name=f"{feature_name}_embedding", ) # Convert the index values to embedding representations. - encoded_other_features.append(embedding_encoder(idx)) + encoded_other_features.append(embedding_encoder(inputs[feature_name])) ## Create a single embedding vector for the user features if len(encoded_other_features) > 1: @@ -406,13 +404,6 @@ def encode_input_features( ## Create a movie embedding encoder movie_vocabulary = CATEGORICAL_FEATURES_WITH_VOCABULARY["movie_id"] movie_embedding_dims = int(math.sqrt(len(movie_vocabulary))) - # Create a lookup to convert string values to integer indices. - movie_index_lookup = StringLookup( - vocabulary=movie_vocabulary, - mask_token=None, - num_oov_indices=0, - name="movie_index_lookup", - ) # Create an embedding layer with the specified dimensions. movie_embedding_encoder = layers.Embedding( input_dim=len(movie_vocabulary), @@ -438,11 +429,10 @@ def encode_input_features( ## Define a function to encode a given movie id. def encode_movie(movie_id): # Convert the string input values into integer indices. - movie_idx = movie_index_lookup(movie_id) - movie_embedding = movie_embedding_encoder(movie_idx) + movie_embedding = movie_embedding_encoder(movie_id) encoded_movie = movie_embedding if include_movie_features: - movie_genres_vector = movie_genres_lookup(movie_idx) + movie_genres_vector = movie_genres_lookup(movie_id) encoded_movie = movie_embedding_processor( layers.concatenate([movie_embedding, movie_genres_vector]) ) @@ -461,11 +451,11 @@ def encode_input_features( output_dim=movie_embedding_dims, name="position_embedding", ) - positions = tf.range(start=0, limit=sequence_length - 1, delta=1) + positions = ops.arange(start=0, stop=sequence_length - 1, step=1) encodded_positions = position_embedding_encoder(positions) # Retrieve sequence ratings to incorporate them into the encoding of the movie. sequence_ratings = inputs["sequence_ratings"] - sequence_ratings = keras.ops.expand_dims(sequence_ratings, -1) + sequence_ratings = ops.expand_dims(sequence_ratings, -1) # Add the positional encoding to the movie encodings and multiply them by rating. encoded_sequence_movies_with_poistion_and_rating = layers.Multiply()( [(encoded_sequence_movies + encodded_positions), sequence_ratings] @@ -474,18 +464,41 @@ def encode_input_features( # Construct the transformer inputs. for i in range(sequence_length - 1): feature = encoded_sequence_movies_with_poistion_and_rating[:, i, ...] - feature = keras.ops.expand_dims(feature, 1) + feature = ops.expand_dims(feature, 1) encoded_transformer_features.append(feature) encoded_transformer_features.append(encoded_target_movie) - encoded_transformer_features = layers.concatenate( encoded_transformer_features, axis=1 ) - return encoded_transformer_features, encoded_other_features ``` +--- +## Create model inputs + + +```python + +def create_model_inputs(): + return { + "user_id": keras.Input(name="user_id", shape=(1,), dtype="int32"), + "sequence_movie_ids": keras.Input( + name="sequence_movie_ids", shape=(sequence_length - 1,), dtype="int32" + ), + "target_movie_id": keras.Input( + name="target_movie_id", shape=(1,), dtype="int32" + ), + "sequence_ratings": keras.Input( + name="sequence_ratings", shape=(sequence_length - 1,), dtype="float32" + ), + "sex": keras.Input(name="sex", shape=(1,), dtype="int32"), + "age_group": keras.Input(name="age_group", shape=(1,), dtype="int32"), + "occupation": keras.Input(name="occupation", shape=(1,), dtype="int32"), + } + +``` + --- ## Create a BST model @@ -501,11 +514,11 @@ num_heads = 3 def create_model(): + inputs = create_model_inputs() transformer_features, other_features = encode_input_features( inputs, include_user_id, include_user_features, include_movie_features ) - # Create a multi-headed attention layer. attention_output = layers.MultiHeadAttention( num_heads=num_heads, key_dim=transformer_features.shape[2], dropout=dropout_rate @@ -522,7 +535,7 @@ def create_model(): transformer_features = layers.LayerNormalization()(transformer_features) features = layers.Flatten()(transformer_features) - # Included the other features. + # Included the other_features. if other_features is not None: features = layers.concatenate( [features, layers.Reshape([other_features.shape[-1]])(other_features)] @@ -534,7 +547,6 @@ def create_model(): features = layers.BatchNormalization()(features) features = layers.LeakyReLU()(features) features = layers.Dropout(dropout_rate)(features) - outputs = layers.Dense(units=1)(features) model = keras.Model(inputs=inputs, outputs=outputs) return model @@ -543,6 +555,12 @@ def create_model(): model = create_model() ``` +
+``` +An NVIDIA GPU may be present on this machine, but a CUDA-enabled jaxlib is not installed. Falling back to cpu. + +``` +
--- ## Run training and evaluation experiment @@ -556,6 +574,7 @@ model.compile( ) # Read the training data. + train_dataset = get_dataset_from_csv("train_data.csv", batch_size=265, shuffle=True) # Fit the model with the training data. @@ -578,18417 +597,18420 @@ Epoch 1/2
``` - 1/Unknown 4s 4s/step - loss: 12.3858 - mean_absolute_error: 3.1926 + 1/Unknown 7s 7s/step - loss: 12.6790 - mean_absolute_error: 3.2470  - 2/Unknown 4s 239ms/step - loss: 11.8118 - mean_absolute_error: 3.1138 + 2/Unknown 7s 175ms/step - loss: 11.8442 - mean_absolute_error: 3.1216  - 3/Unknown 4s 243ms/step - loss: 11.2310 - mean_absolute_error: 3.0252 + 3/Unknown 7s 169ms/step - loss: 11.2701 - mean_absolute_error: 3.0387  - 4/Unknown 4s 243ms/step - loss: 10.7471 - mean_absolute_error: 2.9454 + 4/Unknown 7s 162ms/step - loss: 10.7890 - mean_absolute_error: 2.9640  - 5/Unknown 5s 241ms/step - loss: 10.3358 - mean_absolute_error: 2.8758 + 5/Unknown 8s 160ms/step - loss: 10.3522 - mean_absolute_error: 2.8934  - 6/Unknown 5s 244ms/step - loss: 9.9552 - mean_absolute_error: 2.8099 + 6/Unknown 8s 173ms/step - loss: 9.9734 - mean_absolute_error: 2.8301  - 7/Unknown 5s 239ms/step - loss: 9.6164 - mean_absolute_error: 2.7506 + 7/Unknown 8s 181ms/step - loss: 9.6343 - mean_absolute_error: 2.7711  - 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- 1000/Unknown 306s 302ms/step - loss: 1.7021 - mean_absolute_error: 1.0175 + 1000/Unknown 218s 211ms/step - loss: 1.6895 - mean_absolute_error: 1.0147
```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
- 1015/Unknown 311s 303ms/step - loss: 1.6962 - mean_absolute_error: 1.0158 + 1015/Unknown 222s 212ms/step - loss: 1.6837 - mean_absolute_error: 1.0130
```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
- 1037/Unknown 319s 304ms/step - loss: 1.6877 - mean_absolute_error: 1.0135 + 1037/Unknown 227s 213ms/step - loss: 1.6753 - mean_absolute_error: 1.0107
```  ```
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```  ```
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```  ```
- 1040/Unknown 320s 304ms/step - loss: 1.6866 - mean_absolute_error: 1.0131 + 1040/Unknown 228s 213ms/step - loss: 1.6742 - mean_absolute_error: 1.0104
```  ```
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```  ```
- 1042/Unknown 321s 304ms/step - loss: 1.6858 - mean_absolute_error: 1.0129 + 1042/Unknown 228s 213ms/step - loss: 1.6735 - mean_absolute_error: 1.0102
```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
- 1052/Unknown 324s 305ms/step - loss: 1.6821 - mean_absolute_error: 1.0119 + 1052/Unknown 230s 213ms/step - loss: 1.6698 - mean_absolute_error: 1.0091
```  ```
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```  ```
- 1054/Unknown 325s 305ms/step - loss: 1.6813 - mean_absolute_error: 1.0117 + 1054/Unknown 231s 213ms/step - loss: 1.6691 - mean_absolute_error: 1.0089
```  ```
- 1055/Unknown 325s 305ms/step - loss: 1.6810 - mean_absolute_error: 1.0116 + 1055/Unknown 231s 213ms/step - loss: 1.6687 - mean_absolute_error: 1.0088
```  ```
- 1056/Unknown 326s 305ms/step - loss: 1.6806 - mean_absolute_error: 1.0115 + 1056/Unknown 231s 213ms/step - loss: 1.6683 - mean_absolute_error: 1.0087
```  ```
- 1057/Unknown 326s 305ms/step - loss: 1.6802 - mean_absolute_error: 1.0114 + 1057/Unknown 231s 213ms/step - loss: 1.6680 - mean_absolute_error: 1.0086
```  ```
- 1058/Unknown 326s 305ms/step - loss: 1.6799 - mean_absolute_error: 1.0113 + 1058/Unknown 232s 213ms/step - loss: 1.6676 - mean_absolute_error: 1.0085
```  ```
- 1059/Unknown 327s 305ms/step - loss: 1.6795 - mean_absolute_error: 1.0112 + 1059/Unknown 232s 213ms/step - loss: 1.6672 - mean_absolute_error: 1.0084
```  ```
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```  ```
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```  ```
- 1062/Unknown 328s 306ms/step - loss: 1.6784 - mean_absolute_error: 1.0109 + 1062/Unknown 233s 213ms/step - loss: 1.6662 - mean_absolute_error: 1.0081
```  ```
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```  ```
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```  ```
- 1065/Unknown 329s 306ms/step - loss: 1.6773 - mean_absolute_error: 1.0105 + 1065/Unknown 233s 213ms/step - loss: 1.6651 - mean_absolute_error: 1.0078
```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
- 1072/Unknown 331s 306ms/step - loss: 1.6748 - mean_absolute_error: 1.0098 + 1072/Unknown 235s 213ms/step - loss: 1.6626 - mean_absolute_error: 1.0071
```  ```
- 1073/Unknown 332s 306ms/step - loss: 1.6744 - mean_absolute_error: 1.0097 + 1073/Unknown 235s 213ms/step - loss: 1.6622 - mean_absolute_error: 1.0070
```  ```
- 1074/Unknown 332s 306ms/step - loss: 1.6740 - mean_absolute_error: 1.0096 + 1074/Unknown 236s 213ms/step - loss: 1.6619 - mean_absolute_error: 1.0069
```  ```
- 1075/Unknown 332s 306ms/step - loss: 1.6737 - mean_absolute_error: 1.0095 + 1075/Unknown 236s 213ms/step - loss: 1.6615 - mean_absolute_error: 1.0068
```  ```
- 1076/Unknown 333s 306ms/step - loss: 1.6733 - mean_absolute_error: 1.0094 + 1076/Unknown 236s 213ms/step - loss: 1.6612 - mean_absolute_error: 1.0067
```  ```
- 1077/Unknown 333s 306ms/step - loss: 1.6730 - mean_absolute_error: 1.0093 + 1077/Unknown 236s 213ms/step - loss: 1.6608 - mean_absolute_error: 1.0066
```  ```
- 1078/Unknown 333s 306ms/step - loss: 1.6726 - mean_absolute_error: 1.0092 + 1078/Unknown 237s 213ms/step - loss: 1.6605 - mean_absolute_error: 1.0065
```  ```
- 1079/Unknown 334s 306ms/step - loss: 1.6723 - mean_absolute_error: 1.0091 + 1079/Unknown 237s 213ms/step - loss: 1.6601 - mean_absolute_error: 1.0064
```  ```
- 1080/Unknown 334s 306ms/step - loss: 1.6719 - mean_absolute_error: 1.0090 + 1080/Unknown 237s 213ms/step - loss: 1.6598 - mean_absolute_error: 1.0063
```  ```
- 1081/Unknown 334s 306ms/step - loss: 1.6715 - mean_absolute_error: 1.0089 + 1081/Unknown 237s 214ms/step - loss: 1.6594 - mean_absolute_error: 1.0062
```  ```
- 1082/Unknown 335s 306ms/step - loss: 1.6712 - mean_absolute_error: 1.0088 + 1082/Unknown 238s 214ms/step - loss: 1.6591 - mean_absolute_error: 1.0061
```  ```
- 1083/Unknown 335s 306ms/step - loss: 1.6708 - mean_absolute_error: 1.0087 + 1083/Unknown 238s 214ms/step - loss: 1.6587 - mean_absolute_error: 1.0060
```  ```
- 1084/Unknown 335s 306ms/step - loss: 1.6705 - mean_absolute_error: 1.0086 + 1084/Unknown 238s 214ms/step - loss: 1.6584 - mean_absolute_error: 1.0059
```  ```
- 1085/Unknown 336s 306ms/step - loss: 1.6701 - mean_absolute_error: 1.0085 + 1085/Unknown 238s 214ms/step - loss: 1.6580 - mean_absolute_error: 1.0058
```  ```
- 1086/Unknown 336s 306ms/step - loss: 1.6698 - mean_absolute_error: 1.0084 + 1086/Unknown 239s 214ms/step - loss: 1.6577 - mean_absolute_error: 1.0057
```  ```
- 1087/Unknown 337s 307ms/step - loss: 1.6694 - mean_absolute_error: 1.0083 + 1087/Unknown 239s 214ms/step - loss: 1.6573 - mean_absolute_error: 1.0056
```  ```
- 1088/Unknown 337s 307ms/step - loss: 1.6691 - mean_absolute_error: 1.0082 + 1088/Unknown 239s 214ms/step - loss: 1.6570 - mean_absolute_error: 1.0055
```  ```
- 1089/Unknown 337s 307ms/step - loss: 1.6687 - mean_absolute_error: 1.0081 + 1089/Unknown 239s 214ms/step - loss: 1.6566 - mean_absolute_error: 1.0054
```  ```
- 1090/Unknown 338s 307ms/step - loss: 1.6684 - mean_absolute_error: 1.0080 + 1090/Unknown 240s 214ms/step - loss: 1.6563 - mean_absolute_error: 1.0053
```  ```
- 1091/Unknown 338s 307ms/step - loss: 1.6680 - mean_absolute_error: 1.0079 + 1091/Unknown 240s 214ms/step - loss: 1.6559 - mean_absolute_error: 1.0052
```  ```
- 1092/Unknown 338s 307ms/step - loss: 1.6677 - mean_absolute_error: 1.0078 + 1092/Unknown 240s 214ms/step - loss: 1.6556 - mean_absolute_error: 1.0051
```  ```
- 1093/Unknown 339s 307ms/step - loss: 1.6673 - mean_absolute_error: 1.0077 + 1093/Unknown 240s 214ms/step - loss: 1.6552 - mean_absolute_error: 1.0050
```  ```
- 1094/Unknown 339s 307ms/step - loss: 1.6670 - mean_absolute_error: 1.0076 + 1094/Unknown 241s 214ms/step - loss: 1.6549 - mean_absolute_error: 1.0049
```  ```
- 1095/Unknown 339s 307ms/step - loss: 1.6666 - mean_absolute_error: 1.0076 + 1095/Unknown 241s 214ms/step - loss: 1.6546 - mean_absolute_error: 1.0048
```  ```
- 1096/Unknown 340s 307ms/step - loss: 1.6663 - mean_absolute_error: 1.0075 + 1096/Unknown 241s 214ms/step - loss: 1.6542 - mean_absolute_error: 1.0047
```  ```
- 1097/Unknown 340s 307ms/step - loss: 1.6659 - mean_absolute_error: 1.0074 + 1097/Unknown 241s 214ms/step - loss: 1.6539 - mean_absolute_error: 1.0046
```  ```
- 1098/Unknown 340s 307ms/step - loss: 1.6656 - mean_absolute_error: 1.0073 + 1098/Unknown 241s 214ms/step - loss: 1.6535 - mean_absolute_error: 1.0045
```  ```
- 1099/Unknown 341s 307ms/step - loss: 1.6652 - mean_absolute_error: 1.0072 + 1099/Unknown 242s 214ms/step - loss: 1.6532 - mean_absolute_error: 1.0044
```  ```
- 1100/Unknown 341s 307ms/step - loss: 1.6649 - mean_absolute_error: 1.0071 + 1100/Unknown 242s 214ms/step - loss: 1.6528 - mean_absolute_error: 1.0043
```  ```
- 1101/Unknown 342s 307ms/step - loss: 1.6645 - mean_absolute_error: 1.0070 + 1101/Unknown 242s 214ms/step - loss: 1.6525 - mean_absolute_error: 1.0043
```  ```
- 1102/Unknown 342s 307ms/step - loss: 1.6642 - mean_absolute_error: 1.0069 + 1102/Unknown 242s 214ms/step - loss: 1.6522 - mean_absolute_error: 1.0042
```  ```
- 1103/Unknown 342s 307ms/step - loss: 1.6638 - mean_absolute_error: 1.0068 + 1103/Unknown 243s 214ms/step - loss: 1.6518 - mean_absolute_error: 1.0041
```  ```
- 1104/Unknown 343s 307ms/step - loss: 1.6635 - mean_absolute_error: 1.0067 + 1104/Unknown 243s 214ms/step - loss: 1.6515 - mean_absolute_error: 1.0040
```  ```
- 1105/Unknown 343s 307ms/step - loss: 1.6631 - mean_absolute_error: 1.0066 + 1105/Unknown 243s 214ms/step - loss: 1.6511 - mean_absolute_error: 1.0039
```  ```
- 1106/Unknown 343s 307ms/step - loss: 1.6628 - mean_absolute_error: 1.0065 + 1106/Unknown 243s 214ms/step - loss: 1.6508 - mean_absolute_error: 1.0038
```  ```
- 1107/Unknown 344s 307ms/step - loss: 1.6625 - mean_absolute_error: 1.0064 + 1107/Unknown 244s 214ms/step - loss: 1.6505 - mean_absolute_error: 1.0037
```  ```
- 1108/Unknown 344s 307ms/step - loss: 1.6621 - mean_absolute_error: 1.0063 + 1108/Unknown 244s 214ms/step - loss: 1.6501 - mean_absolute_error: 1.0036
```  ```
- 1109/Unknown 344s 307ms/step - loss: 1.6618 - mean_absolute_error: 1.0062 + 1109/Unknown 244s 214ms/step - loss: 1.6498 - mean_absolute_error: 1.0035
```  ```
- 1110/Unknown 345s 307ms/step - loss: 1.6614 - mean_absolute_error: 1.0061 + 1110/Unknown 244s 214ms/step - loss: 1.6494 - mean_absolute_error: 1.0034
```  ```
- 1111/Unknown 345s 307ms/step - loss: 1.6611 - mean_absolute_error: 1.0060 + 1111/Unknown 245s 214ms/step - loss: 1.6491 - mean_absolute_error: 1.0033
```  ```
- 1112/Unknown 345s 308ms/step - loss: 1.6607 - mean_absolute_error: 1.0059 + 1112/Unknown 245s 214ms/step - loss: 1.6488 - mean_absolute_error: 1.0032
```  ```
- 1113/Unknown 346s 308ms/step - loss: 1.6604 - mean_absolute_error: 1.0058 + 1113/Unknown 245s 214ms/step - loss: 1.6484 - mean_absolute_error: 1.0031
```  ```
- 1114/Unknown 346s 308ms/step - loss: 1.6601 - mean_absolute_error: 1.0057 + 1114/Unknown 245s 214ms/step - loss: 1.6481 - mean_absolute_error: 1.0030
```  ```
- 1115/Unknown 346s 308ms/step - loss: 1.6597 - mean_absolute_error: 1.0056 + 1115/Unknown 246s 214ms/step - loss: 1.6478 - mean_absolute_error: 1.0029
```  ```
- 1116/Unknown 347s 308ms/step - loss: 1.6594 - mean_absolute_error: 1.0055 + 1116/Unknown 246s 214ms/step - loss: 1.6474 - mean_absolute_error: 1.0028
```  ```
- 1117/Unknown 347s 308ms/step - loss: 1.6590 - mean_absolute_error: 1.0054 + 1117/Unknown 246s 215ms/step - loss: 1.6471 - mean_absolute_error: 1.0027
```  ```
- 1118/Unknown 347s 308ms/step - loss: 1.6587 - mean_absolute_error: 1.0053 + 1118/Unknown 247s 215ms/step - loss: 1.6468 - mean_absolute_error: 1.0026
```  ```
- 1119/Unknown 348s 308ms/step - loss: 1.6584 - mean_absolute_error: 1.0052 + 1119/Unknown 247s 215ms/step - loss: 1.6464 - mean_absolute_error: 1.0025
```  ```
- 1120/Unknown 348s 308ms/step - loss: 1.6580 - mean_absolute_error: 1.0051 + 1120/Unknown 247s 215ms/step - loss: 1.6461 - mean_absolute_error: 1.0024
```  ```
- 1121/Unknown 349s 308ms/step - loss: 1.6577 - mean_absolute_error: 1.0050 + 1121/Unknown 247s 215ms/step - loss: 1.6458 - mean_absolute_error: 1.0023
```  ```
- 1122/Unknown 349s 308ms/step - loss: 1.6573 - mean_absolute_error: 1.0049 + 1122/Unknown 248s 215ms/step - loss: 1.6454 - mean_absolute_error: 1.0022
```  ```
- 1123/Unknown 349s 308ms/step - loss: 1.6570 - mean_absolute_error: 1.0048 + 1123/Unknown 248s 215ms/step - loss: 1.6451 - mean_absolute_error: 1.0022
```  ```
- 1124/Unknown 350s 308ms/step - loss: 1.6567 - mean_absolute_error: 1.0048 + 1124/Unknown 248s 215ms/step - loss: 1.6448 - mean_absolute_error: 1.0021
```  ```
- 1125/Unknown 350s 308ms/step - loss: 1.6563 - mean_absolute_error: 1.0047 + 1125/Unknown 248s 215ms/step - loss: 1.6444 - mean_absolute_error: 1.0020
```  ```
- 1126/Unknown 350s 308ms/step - loss: 1.6560 - mean_absolute_error: 1.0046 + 1126/Unknown 249s 215ms/step - loss: 1.6441 - mean_absolute_error: 1.0019
```  ```
- 1127/Unknown 351s 308ms/step - loss: 1.6557 - mean_absolute_error: 1.0045 + 1127/Unknown 249s 215ms/step - loss: 1.6438 - mean_absolute_error: 1.0018
```  ```
- 1128/Unknown 351s 308ms/step - loss: 1.6553 - mean_absolute_error: 1.0044 + 1128/Unknown 249s 215ms/step - loss: 1.6434 - mean_absolute_error: 1.0017
```  ```
- 1129/Unknown 352s 308ms/step - loss: 1.6550 - mean_absolute_error: 1.0043 + 1129/Unknown 249s 215ms/step - loss: 1.6431 - mean_absolute_error: 1.0016
```  ```
- 1130/Unknown 352s 308ms/step - loss: 1.6546 - mean_absolute_error: 1.0042 + 1130/Unknown 249s 215ms/step - loss: 1.6428 - mean_absolute_error: 1.0015
```  ```
- 1131/Unknown 352s 308ms/step - loss: 1.6543 - mean_absolute_error: 1.0041 + 1131/Unknown 250s 215ms/step - loss: 1.6425 - mean_absolute_error: 1.0014
```  ```
- 1132/Unknown 352s 308ms/step - loss: 1.6540 - mean_absolute_error: 1.0040 + 1132/Unknown 250s 215ms/step - loss: 1.6421 - mean_absolute_error: 1.0013
```  ```
- 1133/Unknown 353s 308ms/step - loss: 1.6536 - mean_absolute_error: 1.0039 + 1133/Unknown 250s 215ms/step - loss: 1.6418 - mean_absolute_error: 1.0012
```  ```
- 1134/Unknown 353s 308ms/step - loss: 1.6533 - mean_absolute_error: 1.0038 + 1134/Unknown 250s 215ms/step - loss: 1.6415 - mean_absolute_error: 1.0011
```  ```
- 1135/Unknown 353s 308ms/step - loss: 1.6530 - mean_absolute_error: 1.0037 + 1135/Unknown 251s 215ms/step - loss: 1.6411 - mean_absolute_error: 1.0010
```  ```
- 1136/Unknown 354s 308ms/step - loss: 1.6527 - mean_absolute_error: 1.0036 + 1136/Unknown 251s 215ms/step - loss: 1.6408 - mean_absolute_error: 1.0009
```  ```
- 1137/Unknown 354s 308ms/step - loss: 1.6523 - mean_absolute_error: 1.0035 + 1137/Unknown 251s 215ms/step - loss: 1.6405 - mean_absolute_error: 1.0008
```  ```
- 1138/Unknown 354s 308ms/step - loss: 1.6520 - mean_absolute_error: 1.0034 + 1138/Unknown 251s 215ms/step - loss: 1.6402 - mean_absolute_error: 1.0008
```  ```
- 1139/Unknown 355s 308ms/step - loss: 1.6517 - mean_absolute_error: 1.0033 + 1139/Unknown 251s 215ms/step - loss: 1.6398 - mean_absolute_error: 1.0007
```  ```
- 1140/Unknown 355s 308ms/step - loss: 1.6513 - mean_absolute_error: 1.0032 + 1140/Unknown 252s 215ms/step - loss: 1.6395 - mean_absolute_error: 1.0006
```  ```
- 1141/Unknown 355s 309ms/step - loss: 1.6510 - mean_absolute_error: 1.0032 + 1141/Unknown 252s 215ms/step - loss: 1.6392 - mean_absolute_error: 1.0005
```  ```
- 1142/Unknown 356s 309ms/step - loss: 1.6507 - mean_absolute_error: 1.0031 + 1142/Unknown 252s 215ms/step - loss: 1.6389 - mean_absolute_error: 1.0004
```  ```
- 1143/Unknown 356s 309ms/step - loss: 1.6503 - mean_absolute_error: 1.0030 + 1143/Unknown 252s 215ms/step - loss: 1.6385 - mean_absolute_error: 1.0003
```  ```
- 1144/Unknown 356s 309ms/step - loss: 1.6500 - mean_absolute_error: 1.0029 + 1144/Unknown 253s 215ms/step - loss: 1.6382 - mean_absolute_error: 1.0002
```  ```
- 1145/Unknown 357s 309ms/step - loss: 1.6497 - mean_absolute_error: 1.0028 + 1145/Unknown 253s 215ms/step - loss: 1.6379 - mean_absolute_error: 1.0001
```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
- 1272/Unknown 403s 314ms/step - loss: 1.6113 - mean_absolute_error: 0.9919 + 1272/Unknown 283s 217ms/step - loss: 1.6002 - mean_absolute_error: 0.9893
```  ```
- 1273/Unknown 403s 314ms/step - loss: 1.6110 - mean_absolute_error: 0.9918 + 1273/Unknown 283s 217ms/step - loss: 1.5999 - mean_absolute_error: 0.9892
```  ```
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```  ```
- 1275/Unknown 404s 314ms/step - loss: 1.6105 - mean_absolute_error: 0.9916 + 1275/Unknown 283s 217ms/step - loss: 1.5993 - mean_absolute_error: 0.9891
```  ```
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```  ```
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```  ```
- 1278/Unknown 405s 314ms/step - loss: 1.6097 - mean_absolute_error: 0.9914 + 1278/Unknown 284s 217ms/step - loss: 1.5985 - mean_absolute_error: 0.9889
```  ```
- 1279/Unknown 405s 314ms/step - loss: 1.6094 - mean_absolute_error: 0.9913 + 1279/Unknown 284s 217ms/step - loss: 1.5983 - mean_absolute_error: 0.9888
```  ```
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```  ```
- 1281/Unknown 406s 314ms/step - loss: 1.6088 - mean_absolute_error: 0.9912 + 1281/Unknown 285s 217ms/step - loss: 1.5977 - mean_absolute_error: 0.9886
```  ```
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```  ```
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```  ```
- 1284/Unknown 407s 314ms/step - loss: 1.6080 - mean_absolute_error: 0.9909 + 1284/Unknown 285s 217ms/step - loss: 1.5969 - mean_absolute_error: 0.9884
```  ```
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```  ```
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```  ```
- 1287/Unknown 408s 315ms/step - loss: 1.6072 - mean_absolute_error: 0.9907 + 1287/Unknown 286s 217ms/step - loss: 1.5961 - mean_absolute_error: 0.9882
```  ```
- 1288/Unknown 409s 315ms/step - loss: 1.6069 - mean_absolute_error: 0.9906 + 1288/Unknown 286s 217ms/step - loss: 1.5958 - mean_absolute_error: 0.9881
```  ```
- 1289/Unknown 409s 315ms/step - loss: 1.6066 - mean_absolute_error: 0.9905 + 1289/Unknown 286s 217ms/step - loss: 1.5956 - mean_absolute_error: 0.9880
```  ```
- 1290/Unknown 409s 315ms/step - loss: 1.6064 - mean_absolute_error: 0.9905 + 1290/Unknown 286s 217ms/step - loss: 1.5953 - mean_absolute_error: 0.9879
```  ```
- 1291/Unknown 410s 315ms/step - loss: 1.6061 - mean_absolute_error: 0.9904 + 1291/Unknown 287s 217ms/step - loss: 1.5950 - mean_absolute_error: 0.9879
```  ```
- 1292/Unknown 410s 315ms/step - loss: 1.6058 - mean_absolute_error: 0.9903 + 1292/Unknown 287s 217ms/step - loss: 1.5948 - mean_absolute_error: 0.9878
```  ```
- 1293/Unknown 410s 315ms/step - loss: 1.6056 - mean_absolute_error: 0.9902 + 1293/Unknown 287s 217ms/step - loss: 1.5945 - mean_absolute_error: 0.9877
```  ```
- 1294/Unknown 411s 315ms/step - loss: 1.6053 - mean_absolute_error: 0.9901 + 1294/Unknown 287s 217ms/step - loss: 1.5942 - mean_absolute_error: 0.9876
```  ```
- 1295/Unknown 411s 315ms/step - loss: 1.6050 - mean_absolute_error: 0.9901 + 1295/Unknown 288s 217ms/step - loss: 1.5940 - mean_absolute_error: 0.9875
```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
- 1302/Unknown 414s 315ms/step - loss: 1.6031 - mean_absolute_error: 0.9895 + 1302/Unknown 289s 217ms/step - loss: 1.5921 - mean_absolute_error: 0.9870
```  ```
- 1303/Unknown 414s 315ms/step - loss: 1.6029 - mean_absolute_error: 0.9895 + 1303/Unknown 289s 217ms/step - loss: 1.5918 - mean_absolute_error: 0.9869
```  ```
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```  ```
- 1305/Unknown 415s 315ms/step - loss: 1.6023 - mean_absolute_error: 0.9893 + 1305/Unknown 290s 217ms/step - loss: 1.5913 - mean_absolute_error: 0.9868
```  ```
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```  ```
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```  ```
- 1308/Unknown 416s 315ms/step - loss: 1.6015 - mean_absolute_error: 0.9891 + 1308/Unknown 290s 217ms/step - loss: 1.5905 - mean_absolute_error: 0.9866
```  ```
- 1309/Unknown 416s 315ms/step - loss: 1.6013 - mean_absolute_error: 0.9890 + 1309/Unknown 290s 217ms/step - loss: 1.5903 - mean_absolute_error: 0.9865
```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
- 1316/Unknown 419s 316ms/step - loss: 1.5994 - mean_absolute_error: 0.9885 + 1316/Unknown 292s 217ms/step - loss: 1.5884 - mean_absolute_error: 0.9860
```  ```
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```  ```
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```  ```
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```  ```
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```  ```
- 1321/Unknown 421s 316ms/step - loss: 1.5981 - mean_absolute_error: 0.9881 + 1321/Unknown 293s 217ms/step - loss: 1.5871 - mean_absolute_error: 0.9856
```  ```
- 1322/Unknown 421s 316ms/step - loss: 1.5978 - mean_absolute_error: 0.9880 + 1322/Unknown 293s 217ms/step - loss: 1.5869 - mean_absolute_error: 0.9855
```  ```
- 1323/Unknown 422s 316ms/step - loss: 1.5976 - mean_absolute_error: 0.9879 + 1323/Unknown 293s 217ms/step - loss: 1.5866 - mean_absolute_error: 0.9854
```  ```
- 1324/Unknown 422s 316ms/step - loss: 1.5973 - mean_absolute_error: 0.9879 + 1324/Unknown 294s 217ms/step - loss: 1.5864 - mean_absolute_error: 0.9854
```  ```
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```  ```
- 1326/Unknown 423s 316ms/step - loss: 1.5968 - mean_absolute_error: 0.9877 + 1326/Unknown 294s 217ms/step - loss: 1.5858 - mean_absolute_error: 0.9852
```  ```
- 1327/Unknown 423s 316ms/step - loss: 1.5965 - mean_absolute_error: 0.9876 + 1327/Unknown 294s 217ms/step - loss: 1.5856 - mean_absolute_error: 0.9851
```  ```
- 1328/Unknown 423s 316ms/step - loss: 1.5963 - mean_absolute_error: 0.9876 + 1328/Unknown 295s 217ms/step - loss: 1.5853 - mean_absolute_error: 0.9851
```  ```
- 1329/Unknown 424s 316ms/step - loss: 1.5960 - mean_absolute_error: 0.9875 + 1329/Unknown 295s 217ms/step - loss: 1.5851 - mean_absolute_error: 0.9850
```  ```
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```  ```
- 1331/Unknown 424s 316ms/step - loss: 1.5955 - mean_absolute_error: 0.9873 + 1331/Unknown 295s 217ms/step - loss: 1.5846 - mean_absolute_error: 0.9848
```  ```
- 1332/Unknown 425s 316ms/step - loss: 1.5952 - mean_absolute_error: 0.9873 + 1332/Unknown 295s 217ms/step - loss: 1.5843 - mean_absolute_error: 0.9848
```  ```
- 1333/Unknown 425s 316ms/step - loss: 1.5950 - mean_absolute_error: 0.9872 + 1333/Unknown 296s 217ms/step - loss: 1.5841 - mean_absolute_error: 0.9847
```  ```
- 1334/Unknown 426s 317ms/step - loss: 1.5947 - mean_absolute_error: 0.9871 + 1334/Unknown 296s 217ms/step - loss: 1.5838 - mean_absolute_error: 0.9846
```  ```
- 1335/Unknown 426s 317ms/step - loss: 1.5945 - mean_absolute_error: 0.9871 + 1335/Unknown 296s 217ms/step - loss: 1.5836 - mean_absolute_error: 0.9846
```  ```
- 1336/Unknown 426s 317ms/step - loss: 1.5942 - mean_absolute_error: 0.9870 + 1336/Unknown 296s 217ms/step - loss: 1.5833 - mean_absolute_error: 0.9845
```  ```
- 1337/Unknown 427s 317ms/step - loss: 1.5940 - mean_absolute_error: 0.9869 + 1337/Unknown 297s 217ms/step - loss: 1.5830 - mean_absolute_error: 0.9844
```  ```
- 1338/Unknown 427s 317ms/step - loss: 1.5937 - mean_absolute_error: 0.9868 + 1338/Unknown 297s 217ms/step - loss: 1.5828 - mean_absolute_error: 0.9843
```  ```
- 1339/Unknown 428s 317ms/step - loss: 1.5934 - mean_absolute_error: 0.9868 + 1339/Unknown 297s 217ms/step - loss: 1.5825 - mean_absolute_error: 0.9843
```  ```
- 1340/Unknown 428s 317ms/step - loss: 1.5932 - mean_absolute_error: 0.9867 + 1340/Unknown 297s 217ms/step - loss: 1.5823 - mean_absolute_error: 0.9842
```  ```
- 1341/Unknown 428s 317ms/step - loss: 1.5929 - mean_absolute_error: 0.9866 + 1341/Unknown 297s 217ms/step - loss: 1.5820 - mean_absolute_error: 0.9841
```  ```
- 1342/Unknown 429s 317ms/step - loss: 1.5927 - mean_absolute_error: 0.9865 + 1342/Unknown 297s 217ms/step - loss: 1.5818 - mean_absolute_error: 0.9840
```  ```
- 1343/Unknown 429s 317ms/step - loss: 1.5924 - mean_absolute_error: 0.9865 + 1343/Unknown 298s 217ms/step - loss: 1.5815 - mean_absolute_error: 0.9840
```  ```
- 1344/Unknown 430s 317ms/step - loss: 1.5922 - mean_absolute_error: 0.9864 + 1344/Unknown 298s 217ms/step - loss: 1.5813 - mean_absolute_error: 0.9839
```  ```
- 1345/Unknown 430s 317ms/step - loss: 1.5919 - mean_absolute_error: 0.9863 + 1345/Unknown 298s 217ms/step - loss: 1.5810 - mean_absolute_error: 0.9838
```  ```
- 1346/Unknown 430s 317ms/step - loss: 1.5917 - mean_absolute_error: 0.9863 + 1346/Unknown 298s 217ms/step - loss: 1.5808 - mean_absolute_error: 0.9838
```  ```
- 1347/Unknown 431s 317ms/step - loss: 1.5914 - mean_absolute_error: 0.9862 + 1347/Unknown 298s 217ms/step - loss: 1.5805 - mean_absolute_error: 0.9837
```  ```
- 1348/Unknown 431s 317ms/step - loss: 1.5912 - mean_absolute_error: 0.9861 + 1348/Unknown 299s 217ms/step - loss: 1.5803 - mean_absolute_error: 0.9836
```  ```
- 1349/Unknown 431s 317ms/step - loss: 1.5909 - mean_absolute_error: 0.9860 + 1349/Unknown 299s 217ms/step - loss: 1.5800 - mean_absolute_error: 0.9835
```  ```
- 1350/Unknown 432s 317ms/step - loss: 1.5906 - mean_absolute_error: 0.9860 + 1350/Unknown 299s 217ms/step - loss: 1.5798 - mean_absolute_error: 0.9835
```  ```
- 1351/Unknown 432s 317ms/step - loss: 1.5904 - mean_absolute_error: 0.9859 + 1351/Unknown 299s 217ms/step - loss: 1.5795 - mean_absolute_error: 0.9834
```  ```
- 1352/Unknown 433s 318ms/step - loss: 1.5901 - mean_absolute_error: 0.9858 + 1352/Unknown 300s 217ms/step - loss: 1.5793 - mean_absolute_error: 0.9833
```  ```
- 1353/Unknown 433s 318ms/step - loss: 1.5899 - mean_absolute_error: 0.9857 + 1353/Unknown 300s 217ms/step - loss: 1.5790 - mean_absolute_error: 0.9833
```  ```
- 1354/Unknown 433s 318ms/step - loss: 1.5896 - mean_absolute_error: 0.9857 + 1354/Unknown 300s 217ms/step - loss: 1.5788 - mean_absolute_error: 0.9832
```  ```
- 1355/Unknown 434s 318ms/step - loss: 1.5894 - mean_absolute_error: 0.9856 + 1355/Unknown 300s 217ms/step - loss: 1.5785 - mean_absolute_error: 0.9831
```  ```
- 1356/Unknown 434s 318ms/step - loss: 1.5891 - mean_absolute_error: 0.9855 + 1356/Unknown 300s 217ms/step - loss: 1.5783 - mean_absolute_error: 0.9830
```  ```
- 1357/Unknown 434s 318ms/step - loss: 1.5889 - mean_absolute_error: 0.9855 + 1357/Unknown 301s 217ms/step - loss: 1.5781 - mean_absolute_error: 0.9830
```  ```
- 1358/Unknown 435s 318ms/step - loss: 1.5886 - mean_absolute_error: 0.9854 + 1358/Unknown 301s 217ms/step - loss: 1.5778 - mean_absolute_error: 0.9829
```  ```
- 1359/Unknown 435s 318ms/step - loss: 1.5884 - mean_absolute_error: 0.9853 + 1359/Unknown 301s 217ms/step - loss: 1.5776 - mean_absolute_error: 0.9828
```  ```
- 1360/Unknown 435s 318ms/step - loss: 1.5881 - mean_absolute_error: 0.9852 + 1360/Unknown 301s 217ms/step - loss: 1.5773 - mean_absolute_error: 0.9828
```  ```
- 1361/Unknown 436s 318ms/step - loss: 1.5879 - mean_absolute_error: 0.9852 + 1361/Unknown 301s 217ms/step - loss: 1.5771 - mean_absolute_error: 0.9827
```  ```
- 1362/Unknown 436s 318ms/step - loss: 1.5876 - mean_absolute_error: 0.9851 + 1362/Unknown 302s 217ms/step - loss: 1.5768 - mean_absolute_error: 0.9826
```  ```
- 1363/Unknown 437s 318ms/step - loss: 1.5874 - mean_absolute_error: 0.9850 + 1363/Unknown 302s 217ms/step - loss: 1.5766 - mean_absolute_error: 0.9825
```  ```
- 1364/Unknown 437s 318ms/step - loss: 1.5871 - mean_absolute_error: 0.9850 + 1364/Unknown 302s 217ms/step - loss: 1.5763 - mean_absolute_error: 0.9825
```  ```
- 1365/Unknown 437s 318ms/step - loss: 1.5869 - mean_absolute_error: 0.9849 + 1365/Unknown 302s 217ms/step - loss: 1.5761 - mean_absolute_error: 0.9824
```  ```
- 1366/Unknown 438s 318ms/step - loss: 1.5866 - mean_absolute_error: 0.9848 + 1366/Unknown 303s 217ms/step - loss: 1.5759 - mean_absolute_error: 0.9823
```  ```
- 1367/Unknown 438s 318ms/step - loss: 1.5864 - mean_absolute_error: 0.9847 + 1367/Unknown 303s 217ms/step - loss: 1.5756 - mean_absolute_error: 0.9823
```  ```
- 1368/Unknown 438s 318ms/step - loss: 1.5861 - mean_absolute_error: 0.9847 + 1368/Unknown 303s 217ms/step - loss: 1.5754 - mean_absolute_error: 0.9822
```  ```
- 1369/Unknown 439s 318ms/step - loss: 1.5859 - mean_absolute_error: 0.9846 + 1369/Unknown 303s 217ms/step - loss: 1.5751 - mean_absolute_error: 0.9821
```  ```
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```  ```
- 1371/Unknown 440s 318ms/step - loss: 1.5854 - mean_absolute_error: 0.9845 + 1371/Unknown 304s 217ms/step - loss: 1.5746 - mean_absolute_error: 0.9820
```  ```
- 1372/Unknown 440s 318ms/step - loss: 1.5852 - mean_absolute_error: 0.9844 + 1372/Unknown 304s 217ms/step - loss: 1.5744 - mean_absolute_error: 0.9819
```  ```
- 1373/Unknown 440s 318ms/step - loss: 1.5849 - mean_absolute_error: 0.9843 + 1373/Unknown 304s 217ms/step - loss: 1.5742 - mean_absolute_error: 0.9818
```  ```
- 1374/Unknown 441s 318ms/step - loss: 1.5847 - mean_absolute_error: 0.9842 + 1374/Unknown 304s 217ms/step - loss: 1.5739 - mean_absolute_error: 0.9818
```  ```
- 1375/Unknown 441s 318ms/step - loss: 1.5844 - mean_absolute_error: 0.9842 + 1375/Unknown 305s 217ms/step - loss: 1.5737 - mean_absolute_error: 0.9817
```  ```
- 1376/Unknown 441s 318ms/step - loss: 1.5842 - mean_absolute_error: 0.9841 + 1376/Unknown 305s 217ms/step - loss: 1.5734 - mean_absolute_error: 0.9816
```  ```
- 1377/Unknown 442s 318ms/step - loss: 1.5839 - mean_absolute_error: 0.9840 + 1377/Unknown 305s 217ms/step - loss: 1.5732 - mean_absolute_error: 0.9816
```  ```
- 1378/Unknown 442s 318ms/step - loss: 1.5837 - mean_absolute_error: 0.9840 + 1378/Unknown 305s 217ms/step - loss: 1.5729 - mean_absolute_error: 0.9815
```  ```
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```  ```
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```  ```
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```  ```
- 1382/Unknown 443s 318ms/step - loss: 1.5827 - mean_absolute_error: 0.9837 + 1382/Unknown 306s 217ms/step - loss: 1.5720 - mean_absolute_error: 0.9812
```  ```
- 1383/Unknown 444s 319ms/step - loss: 1.5825 - mean_absolute_error: 0.9836 + 1383/Unknown 306s 217ms/step - loss: 1.5718 - mean_absolute_error: 0.9812
```  ```
- 1384/Unknown 444s 319ms/step - loss: 1.5822 - mean_absolute_error: 0.9835 + 1384/Unknown 306s 217ms/step - loss: 1.5715 - mean_absolute_error: 0.9811
```  ```
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```  ```
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```  ```
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```  ```
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```  ```
- 1389/Unknown 446s 319ms/step - loss: 1.5810 - mean_absolute_error: 0.9832 + 1389/Unknown 307s 217ms/step - loss: 1.5703 - mean_absolute_error: 0.9807
```  ```
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```  ```
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```  ```
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```  ```
- 1393/Unknown 447s 319ms/step - loss: 1.5800 - mean_absolute_error: 0.9829 + 1393/Unknown 308s 217ms/step - loss: 1.5694 - mean_absolute_error: 0.9805
```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
- 1521/Unknown 495s 323ms/step - loss: 1.5513 - mean_absolute_error: 0.9747 + 1521/Unknown 338s 218ms/step - loss: 1.5411 - mean_absolute_error: 0.9723
```  ```
- 1522/Unknown 496s 323ms/step - loss: 1.5511 - mean_absolute_error: 0.9746 + 1522/Unknown 338s 218ms/step - loss: 1.5409 - mean_absolute_error: 0.9722
```  ```
- 1523/Unknown 496s 323ms/step - loss: 1.5509 - mean_absolute_error: 0.9745 + 1523/Unknown 339s 218ms/step - loss: 1.5407 - mean_absolute_error: 0.9722
```  ```
- 1524/Unknown 496s 324ms/step - loss: 1.5507 - mean_absolute_error: 0.9745 + 1524/Unknown 339s 218ms/step - loss: 1.5405 - mean_absolute_error: 0.9721
```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
- 1530/Unknown 499s 324ms/step - loss: 1.5495 - mean_absolute_error: 0.9741 + 1530/Unknown 340s 218ms/step - loss: 1.5393 - mean_absolute_error: 0.9718
```  ```
- 1531/Unknown 499s 324ms/step - loss: 1.5493 - mean_absolute_error: 0.9741 + 1531/Unknown 341s 218ms/step - loss: 1.5391 - mean_absolute_error: 0.9717
```  ```
- 1532/Unknown 499s 324ms/step - loss: 1.5490 - mean_absolute_error: 0.9740 + 1532/Unknown 341s 218ms/step - loss: 1.5389 - mean_absolute_error: 0.9716
```  ```
- 1533/Unknown 500s 324ms/step - loss: 1.5488 - mean_absolute_error: 0.9739 + 1533/Unknown 341s 218ms/step - loss: 1.5387 - mean_absolute_error: 0.9716
```  ```
- 1534/Unknown 500s 324ms/step - loss: 1.5486 - mean_absolute_error: 0.9739 + 1534/Unknown 341s 218ms/step - loss: 1.5385 - mean_absolute_error: 0.9715
```  ```
- 1535/Unknown 500s 324ms/step - loss: 1.5484 - mean_absolute_error: 0.9738 + 1535/Unknown 342s 218ms/step - loss: 1.5383 - mean_absolute_error: 0.9715
```  ```
- 1536/Unknown 501s 324ms/step - loss: 1.5482 - mean_absolute_error: 0.9738 + 1536/Unknown 342s 218ms/step - loss: 1.5381 - mean_absolute_error: 0.9714
```  ```
- 1537/Unknown 501s 324ms/step - loss: 1.5480 - mean_absolute_error: 0.9737 + 1537/Unknown 342s 218ms/step - loss: 1.5379 - mean_absolute_error: 0.9713
```  ```
- 1538/Unknown 501s 324ms/step - loss: 1.5478 - mean_absolute_error: 0.9736 + 1538/Unknown 342s 218ms/step - loss: 1.5377 - mean_absolute_error: 0.9713
```  ```
- 1539/Unknown 502s 324ms/step - loss: 1.5476 - mean_absolute_error: 0.9736 + 1539/Unknown 343s 218ms/step - loss: 1.5375 - mean_absolute_error: 0.9712
```  ```
- 1540/Unknown 502s 324ms/step - loss: 1.5474 - mean_absolute_error: 0.9735 + 1540/Unknown 343s 218ms/step - loss: 1.5373 - mean_absolute_error: 0.9712
```  ```
- 1541/Unknown 503s 324ms/step - loss: 1.5472 - mean_absolute_error: 0.9735 + 1541/Unknown 343s 218ms/step - loss: 1.5371 - mean_absolute_error: 0.9711
```  ```
- 1542/Unknown 503s 324ms/step - loss: 1.5470 - mean_absolute_error: 0.9734 + 1542/Unknown 344s 218ms/step - loss: 1.5369 - mean_absolute_error: 0.9710
```  ```
- 1543/Unknown 503s 324ms/step - loss: 1.5468 - mean_absolute_error: 0.9733 + 1543/Unknown 344s 218ms/step - loss: 1.5366 - mean_absolute_error: 0.9710
```  ```
- 1544/Unknown 504s 324ms/step - loss: 1.5466 - mean_absolute_error: 0.9733 + 1544/Unknown 344s 219ms/step - loss: 1.5364 - mean_absolute_error: 0.9709
```  ```
- 1545/Unknown 504s 324ms/step - loss: 1.5464 - mean_absolute_error: 0.9732 + 1545/Unknown 344s 219ms/step - loss: 1.5362 - mean_absolute_error: 0.9709
```  ```
- 1546/Unknown 505s 324ms/step - loss: 1.5462 - mean_absolute_error: 0.9732 + 1546/Unknown 345s 219ms/step - loss: 1.5360 - mean_absolute_error: 0.9708
```  ```
- 1547/Unknown 505s 324ms/step - loss: 1.5460 - mean_absolute_error: 0.9731 + 1547/Unknown 345s 219ms/step - loss: 1.5358 - mean_absolute_error: 0.9708
```  ```
- 1548/Unknown 505s 324ms/step - loss: 1.5458 - mean_absolute_error: 0.9730 + 1548/Unknown 345s 219ms/step - loss: 1.5356 - mean_absolute_error: 0.9707
```  ```
- 1549/Unknown 506s 324ms/step - loss: 1.5456 - mean_absolute_error: 0.9730 + 1549/Unknown 345s 219ms/step - loss: 1.5354 - mean_absolute_error: 0.9706
```  ```
- 1550/Unknown 506s 324ms/step - loss: 1.5454 - mean_absolute_error: 0.9729 + 1550/Unknown 346s 219ms/step - loss: 1.5352 - mean_absolute_error: 0.9706
```  ```
- 1551/Unknown 506s 324ms/step - loss: 1.5452 - mean_absolute_error: 0.9729 + 1551/Unknown 346s 219ms/step - loss: 1.5350 - mean_absolute_error: 0.9705
```  ```
- 1552/Unknown 507s 324ms/step - loss: 1.5449 - mean_absolute_error: 0.9728 + 1552/Unknown 346s 219ms/step - loss: 1.5348 - mean_absolute_error: 0.9705
```  ```
- 1553/Unknown 507s 324ms/step - loss: 1.5447 - mean_absolute_error: 0.9727 + 1553/Unknown 346s 219ms/step - loss: 1.5346 - mean_absolute_error: 0.9704
```  ```
- 1554/Unknown 507s 324ms/step - loss: 1.5445 - mean_absolute_error: 0.9727 + 1554/Unknown 347s 219ms/step - loss: 1.5344 - mean_absolute_error: 0.9703
```  ```
- 1555/Unknown 508s 324ms/step - loss: 1.5443 - mean_absolute_error: 0.9726 + 1555/Unknown 347s 219ms/step - loss: 1.5342 - mean_absolute_error: 0.9703
```  ```
- 1556/Unknown 508s 324ms/step - loss: 1.5441 - mean_absolute_error: 0.9726 + 1556/Unknown 347s 219ms/step - loss: 1.5340 - mean_absolute_error: 0.9702
```  ```
- 1557/Unknown 508s 324ms/step - loss: 1.5439 - mean_absolute_error: 0.9725 + 1557/Unknown 348s 219ms/step - loss: 1.5338 - mean_absolute_error: 0.9702
```  ```
- 1558/Unknown 509s 324ms/step - loss: 1.5437 - mean_absolute_error: 0.9725 + 1558/Unknown 348s 219ms/step - loss: 1.5336 - mean_absolute_error: 0.9701
```  ```
- 1559/Unknown 509s 324ms/step - loss: 1.5435 - mean_absolute_error: 0.9724 + 1559/Unknown 348s 219ms/step - loss: 1.5334 - mean_absolute_error: 0.9701
```  ```
- 1560/Unknown 510s 324ms/step - loss: 1.5433 - mean_absolute_error: 0.9723 + 1560/Unknown 349s 219ms/step - loss: 1.5332 - mean_absolute_error: 0.9700
```  ```
- 1561/Unknown 510s 325ms/step - loss: 1.5431 - mean_absolute_error: 0.9723 + 1561/Unknown 349s 219ms/step - loss: 1.5330 - mean_absolute_error: 0.9699
```  ```
- 1562/Unknown 510s 325ms/step - loss: 1.5429 - mean_absolute_error: 0.9722 + 1562/Unknown 349s 219ms/step - loss: 1.5328 - mean_absolute_error: 0.9699
```  ```
- 1563/Unknown 511s 325ms/step - loss: 1.5427 - mean_absolute_error: 0.9722 + 1563/Unknown 349s 219ms/step - loss: 1.5326 - mean_absolute_error: 0.9698
```  ```
- 1564/Unknown 511s 325ms/step - loss: 1.5425 - mean_absolute_error: 0.9721 + 1564/Unknown 350s 219ms/step - loss: 1.5325 - mean_absolute_error: 0.9698
```  ```
- 1565/Unknown 511s 325ms/step - loss: 1.5423 - mean_absolute_error: 0.9720 + 1565/Unknown 350s 219ms/step - loss: 1.5323 - mean_absolute_error: 0.9697
```  ```
- 1566/Unknown 512s 325ms/step - loss: 1.5421 - mean_absolute_error: 0.9720 + 1566/Unknown 350s 219ms/step - loss: 1.5321 - mean_absolute_error: 0.9696
```  ```
- 1567/Unknown 512s 325ms/step - loss: 1.5419 - mean_absolute_error: 0.9719 + 1567/Unknown 351s 219ms/step - loss: 1.5319 - mean_absolute_error: 0.9696
```  ```
- 1568/Unknown 513s 325ms/step - loss: 1.5417 - mean_absolute_error: 0.9719 + 1568/Unknown 351s 219ms/step - loss: 1.5317 - mean_absolute_error: 0.9695
```  ```
- 1569/Unknown 513s 325ms/step - loss: 1.5415 - mean_absolute_error: 0.9718 + 1569/Unknown 351s 219ms/step - loss: 1.5315 - mean_absolute_error: 0.9695
```  ```
- 1570/Unknown 513s 325ms/step - loss: 1.5413 - mean_absolute_error: 0.9718 + 1570/Unknown 351s 219ms/step - loss: 1.5313 - mean_absolute_error: 0.9694
```  ```
- 1571/Unknown 514s 325ms/step - loss: 1.5411 - mean_absolute_error: 0.9717 + 1571/Unknown 351s 219ms/step - loss: 1.5311 - mean_absolute_error: 0.9694
```  ```
- 1572/Unknown 514s 325ms/step - loss: 1.5409 - mean_absolute_error: 0.9716 + 1572/Unknown 352s 219ms/step - loss: 1.5309 - mean_absolute_error: 0.9693
```  ```
- 1573/Unknown 514s 325ms/step - loss: 1.5407 - mean_absolute_error: 0.9716 + 1573/Unknown 352s 219ms/step - loss: 1.5307 - mean_absolute_error: 0.9692
```  ```
- 1574/Unknown 515s 325ms/step - loss: 1.5405 - mean_absolute_error: 0.9715 + 1574/Unknown 352s 220ms/step - loss: 1.5305 - mean_absolute_error: 0.9692
```  ```
- 1575/Unknown 515s 325ms/step - loss: 1.5403 - mean_absolute_error: 0.9715 + 1575/Unknown 352s 220ms/step - loss: 1.5303 - mean_absolute_error: 0.9691
```  ```
- 1576/Unknown 516s 325ms/step - loss: 1.5401 - mean_absolute_error: 0.9714 + 1576/Unknown 353s 220ms/step - loss: 1.5301 - mean_absolute_error: 0.9691
```  ```
- 1577/Unknown 516s 325ms/step - loss: 1.5399 - mean_absolute_error: 0.9713 + 1577/Unknown 353s 220ms/step - loss: 1.5299 - mean_absolute_error: 0.9690
```  ```
- 1578/Unknown 516s 325ms/step - loss: 1.5397 - mean_absolute_error: 0.9713 + 1578/Unknown 353s 220ms/step - loss: 1.5297 - mean_absolute_error: 0.9690
```  ```
- 1579/Unknown 517s 325ms/step - loss: 1.5395 - mean_absolute_error: 0.9712 + 1579/Unknown 354s 220ms/step - loss: 1.5295 - mean_absolute_error: 0.9689
```  ```
- 1580/Unknown 517s 325ms/step - loss: 1.5393 - mean_absolute_error: 0.9712 + 1580/Unknown 354s 220ms/step - loss: 1.5293 - mean_absolute_error: 0.9688
```  ```
- 1581/Unknown 517s 325ms/step - loss: 1.5391 - mean_absolute_error: 0.9711 + 1581/Unknown 354s 220ms/step - loss: 1.5291 - mean_absolute_error: 0.9688
```  ```
- 1582/Unknown 518s 325ms/step - loss: 1.5389 - mean_absolute_error: 0.9711 + 1582/Unknown 354s 220ms/step - loss: 1.5289 - mean_absolute_error: 0.9687
```  ```
- 1583/Unknown 518s 325ms/step - loss: 1.5387 - mean_absolute_error: 0.9710 + 1583/Unknown 355s 220ms/step - loss: 1.5287 - mean_absolute_error: 0.9687
```  ```
- 1584/Unknown 519s 325ms/step - loss: 1.5385 - mean_absolute_error: 0.9709 + 1584/Unknown 355s 220ms/step - loss: 1.5285 - mean_absolute_error: 0.9686
```  ```
- 1585/Unknown 519s 325ms/step - loss: 1.5383 - mean_absolute_error: 0.9709 + 1585/Unknown 355s 220ms/step - loss: 1.5283 - mean_absolute_error: 0.9686
```  ```
- 1586/Unknown 519s 325ms/step - loss: 1.5381 - mean_absolute_error: 0.9708 + 1586/Unknown 356s 220ms/step - loss: 1.5281 - mean_absolute_error: 0.9685
```  ```
- 1587/Unknown 520s 325ms/step - loss: 1.5380 - mean_absolute_error: 0.9708 + 1587/Unknown 356s 220ms/step - loss: 1.5279 - mean_absolute_error: 0.9684
```  ```
- 1588/Unknown 520s 325ms/step - loss: 1.5378 - mean_absolute_error: 0.9707 + 1588/Unknown 356s 220ms/step - loss: 1.5277 - mean_absolute_error: 0.9684
```  ```
- 1589/Unknown 520s 325ms/step - loss: 1.5376 - mean_absolute_error: 0.9707 + 1589/Unknown 356s 220ms/step - loss: 1.5276 - mean_absolute_error: 0.9683
```  ```
- 1590/Unknown 521s 325ms/step - loss: 1.5374 - mean_absolute_error: 0.9706 + 1590/Unknown 357s 220ms/step - loss: 1.5274 - mean_absolute_error: 0.9683
```  ```
- 1591/Unknown 521s 325ms/step - loss: 1.5372 - mean_absolute_error: 0.9705 + 1591/Unknown 357s 220ms/step - loss: 1.5272 - mean_absolute_error: 0.9682
```  ```
- 1592/Unknown 521s 325ms/step - loss: 1.5370 - mean_absolute_error: 0.9705 + 1592/Unknown 357s 220ms/step - loss: 1.5270 - mean_absolute_error: 0.9682
```  ```
- 1593/Unknown 522s 325ms/step - loss: 1.5368 - mean_absolute_error: 0.9704 + 1593/Unknown 357s 220ms/step - loss: 1.5268 - mean_absolute_error: 0.9681
```  ```
- 1594/Unknown 522s 325ms/step - loss: 1.5366 - mean_absolute_error: 0.9704 + 1594/Unknown 358s 220ms/step - loss: 1.5266 - mean_absolute_error: 0.9680
```  ```
- 1595/Unknown 522s 325ms/step - loss: 1.5364 - mean_absolute_error: 0.9703 + 1595/Unknown 358s 220ms/step - loss: 1.5264 - mean_absolute_error: 0.9680
```  ```
- 1596/Unknown 523s 325ms/step - loss: 1.5362 - mean_absolute_error: 0.9703 + 1596/Unknown 358s 220ms/step - loss: 1.5262 - mean_absolute_error: 0.9679
```  ```
- 1597/Unknown 523s 326ms/step - loss: 1.5360 - mean_absolute_error: 0.9702 + 1597/Unknown 358s 220ms/step - loss: 1.5260 - mean_absolute_error: 0.9679
```  ```
- 1598/Unknown 524s 326ms/step - loss: 1.5358 - mean_absolute_error: 0.9701 + 1598/Unknown 358s 220ms/step - loss: 1.5258 - mean_absolute_error: 0.9678
```  ```
- 1599/Unknown 524s 326ms/step - loss: 1.5356 - mean_absolute_error: 0.9701 + 1599/Unknown 364s 224ms/step - loss: 1.5256 - mean_absolute_error: 0.9678
```  ```
- 1599/1599 ━━━━━━━━━━━━━━━━━━━━ 524s 326ms/step - loss: 1.5354 - mean_absolute_error: 0.9700 + 1599/1599 ━━━━━━━━━━━━━━━━━━━━ 364s 224ms/step - loss: 1.5254 - mean_absolute_error: 0.9677
``` Epoch 2/2 -/home/humbulani/tensorflow-env/env/lib/python3.11/site-packages/keras/src/trainers/epoch_iterator.py:151: UserWarning: Your input ran out of data; interrupting training. Make sure that your dataset or generator can generate at least `steps_per_epoch * epochs` batches. You may need to use the `.repeat()` function when building your dataset. +/home/humbulani/tensorflow-env/env/lib/python3.11/site-packages/keras/src/trainers/epoch_iterator.py:159: UserWarning: Your input ran out of data; interrupting training. Make sure that your dataset or generator can generate at least `steps_per_epoch * epochs` batches. You may need to use the `.repeat()` function when building your dataset. self._interrupted_warning() ```
- 1/1599 ━━━━━━━━━━━━━━━━━━━━ 15:10 570ms/step - loss: 1.0496 - mean_absolute_error: 0.8153 + 1/1599 ━━━━━━━━━━━━━━━━━━━━ 13:19 500ms/step - loss: 1.2442 - mean_absolute_error: 0.8669
```  ```
- 2/1599 ━━━━━━━━━━━━━━━━━━━━ 11:15 423ms/step - loss: 1.0938 - mean_absolute_error: 0.8357 + 2/1599 ━━━━━━━━━━━━━━━━━━━━ 6:39 250ms/step - loss: 1.1797 - mean_absolute_error: 0.8505
``` - + ```
- 3/1599 ━━━━━━━━━━━━━━━━━━━━ 11:28 431ms/step - loss: 1.1301 - mean_absolute_error: 0.8512 + 3/1599 ━━━━━━━━━━━━━━━━━━━━ 6:44 253ms/step - loss: 1.1448 - mean_absolute_error: 0.8407
``` - + ```
- 4/1599 ━━━━━━━━━━━━━━━━━━━━ 11:48 444ms/step - loss: 1.1428 - mean_absolute_error: 0.8564 + 4/1599 ━━━━━━━━━━━━━━━━━━━━ 6:38 250ms/step - loss: 1.1370 - mean_absolute_error: 0.8397
``` - + ```
- 5/1599 ━━━━━━━━━━━━━━━━━━━━ 11:48 444ms/step - loss: 1.1508 - mean_absolute_error: 0.8585 + 5/1599 ━━━━━━━━━━━━━━━━━━━━ 6:42 253ms/step - loss: 1.1311 - mean_absolute_error: 0.8382
``` - + ```
- 6/1599 ━━━━━━━━━━━━━━━━━━━━ 11:26 431ms/step - loss: 1.1566 - mean_absolute_error: 0.8594 + 6/1599 ━━━━━━━━━━━━━━━━━━━━ 6:40 252ms/step - loss: 1.1236 - mean_absolute_error: 0.8364
``` - + ```
- 7/1599 ━━━━━━━━━━━━━━━━━━━━ 11:19 427ms/step - loss: 1.1591 - mean_absolute_error: 0.8599 + 7/1599 ━━━━━━━━━━━━━━━━━━━━ 6:38 251ms/step - loss: 1.1174 - mean_absolute_error: 0.8353
``` - + ```
- 8/1599 ━━━━━━━━━━━━━━━━━━━━ 11:12 423ms/step - loss: 1.1578 - mean_absolute_error: 0.8590 + 8/1599 ━━━━━━━━━━━━━━━━━━━━ 6:37 250ms/step - loss: 1.1116 - mean_absolute_error: 0.8343
``` - + ```
- 9/1599 ━━━━━━━━━━━━━━━━━━━━ 10:54 412ms/step - loss: 1.1560 - mean_absolute_error: 0.8582 + 9/1599 ━━━━━━━━━━━━━━━━━━━━ 6:37 250ms/step - loss: 1.1087 - mean_absolute_error: 0.8343
``` - + ```
- 10/1599 ━━━━━━━━━━━━━━━━━━━━ 10:50 409ms/step - loss: 1.1552 - mean_absolute_error: 0.8579 + 10/1599 ━━━━━━━━━━━━━━━━━━━━ 6:36 249ms/step - loss: 1.1065 - mean_absolute_error: 0.8343
``` - + ```
- 11/1599 ━━━━━━━━━━━━━━━━━━━━ 10:33 399ms/step - loss: 1.1532 - mean_absolute_error: 0.8573 + 11/1599 ━━━━━━━━━━━━━━━━━━━━ 6:36 250ms/step - loss: 1.1047 - mean_absolute_error: 0.8344
``` - + ```
- 12/1599 ━━━━━━━━━━━━━━━━━━━━ 10:24 394ms/step - loss: 1.1511 - mean_absolute_error: 0.8563 + 12/1599 ━━━━━━━━━━━━━━━━━━━━ 6:35 249ms/step - loss: 1.1020 - mean_absolute_error: 0.8339
``` - + ```
- 13/1599 ━━━━━━━━━━━━━━━━━━━━ 10:21 392ms/step - loss: 1.1489 - mean_absolute_error: 0.8555 + 13/1599 ━━━━━━━━━━━━━━━━━━━━ 6:35 250ms/step - loss: 1.0994 - mean_absolute_error: 0.8331
``` - + ```
- 14/1599 ━━━━━━━━━━━━━━━━━━━━ 10:15 388ms/step - loss: 1.1464 - mean_absolute_error: 0.8546 + 14/1599 ━━━━━━━━━━━━━━━━━━━━ 6:34 249ms/step - loss: 1.0971 - mean_absolute_error: 0.8324
``` - + ```
- 15/1599 ━━━━━━━━━━━━━━━━━━━━ 10:13 387ms/step - loss: 1.1446 - mean_absolute_error: 0.8539 + 15/1599 ━━━━━━━━━━━━━━━━━━━━ 6:34 249ms/step - loss: 1.0957 - mean_absolute_error: 0.8320
``` - + ```
- 16/1599 ━━━━━━━━━━━━━━━━━━━━ 10:11 386ms/step - loss: 1.1429 - mean_absolute_error: 0.8532 + 16/1599 ━━━━━━━━━━━━━━━━━━━━ 6:33 249ms/step - loss: 1.0943 - mean_absolute_error: 0.8315
``` - + ```
- 17/1599 ━━━━━━━━━━━━━━━━━━━━ 10:08 385ms/step - loss: 1.1409 - mean_absolute_error: 0.8525 + 17/1599 ━━━━━━━━━━━━━━━━━━━━ 6:33 248ms/step - loss: 1.0928 - mean_absolute_error: 0.8310
``` - + ```
- 18/1599 ━━━━━━━━━━━━━━━━━━━━ 10:06 384ms/step - loss: 1.1387 - mean_absolute_error: 0.8516 + 18/1599 ━━━━━━━━━━━━━━━━━━━━ 6:33 249ms/step - loss: 1.0913 - mean_absolute_error: 0.8306
``` - + ```
- 19/1599 ━━━━━━━━━━━━━━━━━━━━ 10:05 383ms/step - loss: 1.1366 - mean_absolute_error: 0.8508 + 19/1599 ━━━━━━━━━━━━━━━━━━━━ 6:32 248ms/step - loss: 1.0899 - mean_absolute_error: 0.8301
``` - + ```
- 20/1599 ━━━━━━━━━━━━━━━━━━━━ 10:01 381ms/step - loss: 1.1346 - mean_absolute_error: 0.8500 + 20/1599 ━━━━━━━━━━━━━━━━━━━━ 6:32 249ms/step - loss: 1.0889 - mean_absolute_error: 0.8299
``` - + ```
- 21/1599 ━━━━━━━━━━━━━━━━━━━━ 9:59 380ms/step - loss: 1.1327 - mean_absolute_error: 0.8493 + 21/1599 ━━━━━━━━━━━━━━━━━━━━ 6:31 248ms/step - loss: 1.0878 - mean_absolute_error: 0.8296
```  ```
- 22/1599 ━━━━━━━━━━━━━━━━━━━━ 10:01 381ms/step - loss: 1.1311 - mean_absolute_error: 0.8487 + 22/1599 ━━━━━━━━━━━━━━━━━━━━ 6:29 247ms/step - loss: 1.0871 - mean_absolute_error: 0.8294
``` - + ```
- 23/1599 ━━━━━━━━━━━━━━━━━━━━ 10:03 383ms/step - loss: 1.1299 - mean_absolute_error: 0.8482 + 23/1599 ━━━━━━━━━━━━━━━━━━━━ 6:26 246ms/step - loss: 1.0865 - mean_absolute_error: 0.8293
``` - + ```
- 24/1599 ━━━━━━━━━━━━━━━━━━━━ 10:05 385ms/step - loss: 1.1288 - mean_absolute_error: 0.8477 + 24/1599 ━━━━━━━━━━━━━━━━━━━━ 6:24 244ms/step - loss: 1.0858 - mean_absolute_error: 0.8291
``` - + ```
- 25/1599 ━━━━━━━━━━━━━━━━━━━━ 10:05 385ms/step - loss: 1.1276 - mean_absolute_error: 0.8472 + 25/1599 ━━━━━━━━━━━━━━━━━━━━ 6:23 244ms/step - loss: 1.0849 - mean_absolute_error: 0.8290
``` - + ```
- 26/1599 ━━━━━━━━━━━━━━━━━━━━ 10:03 383ms/step - loss: 1.1267 - mean_absolute_error: 0.8468 + 26/1599 ━━━━━━━━━━━━━━━━━━━━ 6:22 243ms/step - loss: 1.0841 - mean_absolute_error: 0.8288
``` - + ```
- 27/1599 ━━━━━━━━━━━━━━━━━━━━ 10:01 383ms/step - loss: 1.1257 - mean_absolute_error: 0.8464 + 27/1599 ━━━━━━━━━━━━━━━━━━━━ 6:19 242ms/step - loss: 1.0833 - mean_absolute_error: 0.8286
``` - + ```
- 28/1599 ━━━━━━━━━━━━━━━━━━━━ 9:57 380ms/step - loss: 1.1246 - mean_absolute_error: 0.8460 + 28/1599 ━━━━━━━━━━━━━━━━━━━━ 6:17 241ms/step - loss: 1.0828 - mean_absolute_error: 0.8286
```  ```
- 29/1599 ━━━━━━━━━━━━━━━━━━━━ 9:55 380ms/step - loss: 1.1234 - mean_absolute_error: 0.8456 + 29/1599 ━━━━━━━━━━━━━━━━━━━━ 6:15 239ms/step - loss: 1.0822 - mean_absolute_error: 0.8284
```  ```
- 30/1599 ━━━━━━━━━━━━━━━━━━━━ 9:55 379ms/step - loss: 1.1224 - mean_absolute_error: 0.8451 + 30/1599 ━━━━━━━━━━━━━━━━━━━━ 6:14 239ms/step - loss: 1.0817 - mean_absolute_error: 0.8284
```  ```
- 31/1599 ━━━━━━━━━━━━━━━━━━━━ 9:53 379ms/step - loss: 1.1213 - mean_absolute_error: 0.8448 + 31/1599 ━━━━━━━━━━━━━━━━━━━━ 6:12 238ms/step - loss: 1.0811 - mean_absolute_error: 0.8283
```  ```
- 32/1599 ━━━━━━━━━━━━━━━━━━━━ 9:55 380ms/step - loss: 1.1203 - mean_absolute_error: 0.8444 + 32/1599 ━━━━━━━━━━━━━━━━━━━━ 6:11 237ms/step - loss: 1.0805 - mean_absolute_error: 0.8281
```  ```
- 33/1599 ━━━━━━━━━━━━━━━━━━━━ 9:52 379ms/step - loss: 1.1194 - mean_absolute_error: 0.8440 + 33/1599 ━━━━━━━━━━━━━━━━━━━━ 6:11 237ms/step - loss: 1.0799 - mean_absolute_error: 0.8280
```  ```
- 34/1599 ━━━━━━━━━━━━━━━━━━━━ 9:52 378ms/step - loss: 1.1186 - mean_absolute_error: 0.8437 + 34/1599 ━━━━━━━━━━━━━━━━━━━━ 6:10 237ms/step - loss: 1.0792 - mean_absolute_error: 0.8279
```  ```
- 35/1599 ━━━━━━━━━━━━━━━━━━━━ 9:51 378ms/step - loss: 1.1178 - mean_absolute_error: 0.8434 + 35/1599 ━━━━━━━━━━━━━━━━━━━━ 6:09 236ms/step - loss: 1.0787 - mean_absolute_error: 0.8278
```  ```
- 36/1599 ━━━━━━━━━━━━━━━━━━━━ 9:52 379ms/step - loss: 1.1169 - mean_absolute_error: 0.8431 + 36/1599 ━━━━━━━━━━━━━━━━━━━━ 6:08 236ms/step - loss: 1.0781 - mean_absolute_error: 0.8277
```  ```
- 37/1599 ━━━━━━━━━━━━━━━━━━━━ 9:51 378ms/step - loss: 1.1161 - mean_absolute_error: 0.8428 + 37/1599 ━━━━━━━━━━━━━━━━━━━━ 6:07 236ms/step - loss: 1.0776 - mean_absolute_error: 0.8276
```  ```
- 38/1599 ━━━━━━━━━━━━━━━━━━━━ 9:51 379ms/step - loss: 1.1152 - mean_absolute_error: 0.8425 + 38/1599 ━━━━━━━━━━━━━━━━━━━━ 6:07 235ms/step - loss: 1.0771 - mean_absolute_error: 0.8275
```  ```
- 39/1599 ━━━━━━━━━━━━━━━━━━━━ 9:51 379ms/step - loss: 1.1144 - mean_absolute_error: 0.8423 + 39/1599 ━━━━━━━━━━━━━━━━━━━━ 6:06 235ms/step - loss: 1.0766 - mean_absolute_error: 0.8274
```  ```
- 40/1599 ━━━━━━━━━━━━━━━━━━━━ 9:52 380ms/step - loss: 1.1136 - mean_absolute_error: 0.8420 + 40/1599 ━━━━━━━━━━━━━━━━━━━━ 6:06 235ms/step - loss: 1.0761 - mean_absolute_error: 0.8273
```  ```
- 41/1599 ━━━━━━━━━━━━━━━━━━━━ 9:51 380ms/step - loss: 1.1130 - mean_absolute_error: 0.8418 + 41/1599 ━━━━━━━━━━━━━━━━━━━━ 6:05 234ms/step - loss: 1.0757 - mean_absolute_error: 0.8272
```  ```
- 42/1599 ━━━━━━━━━━━━━━━━━━━━ 9:51 380ms/step - loss: 1.1123 - mean_absolute_error: 0.8416 + 42/1599 ━━━━━━━━━━━━━━━━━━━━ 6:04 234ms/step - loss: 1.0753 - mean_absolute_error: 0.8272
```  ```
- 43/1599 ━━━━━━━━━━━━━━━━━━━━ 9:50 380ms/step - loss: 1.1116 - mean_absolute_error: 0.8414 + 43/1599 ━━━━━━━━━━━━━━━━━━━━ 6:04 234ms/step - loss: 1.0748 - mean_absolute_error: 0.8270
```  ```
- 44/1599 ━━━━━━━━━━━━━━━━━━━━ 9:49 379ms/step - loss: 1.1108 - mean_absolute_error: 0.8411 + 44/1599 ━━━━━━━━━━━━━━━━━━━━ 6:03 234ms/step - loss: 1.0743 - mean_absolute_error: 0.8269
```  ```
- 45/1599 ━━━━━━━━━━━━━━━━━━━━ 9:48 379ms/step - loss: 1.1100 - mean_absolute_error: 0.8408 + 45/1599 ━━━━━━━━━━━━━━━━━━━━ 6:04 234ms/step - loss: 1.0738 - mean_absolute_error: 0.8268
```  ```
- 46/1599 ━━━━━━━━━━━━━━━━━━━━ 9:47 379ms/step - loss: 1.1092 - mean_absolute_error: 0.8406 + 46/1599 ━━━━━━━━━━━━━━━━━━━━ 6:05 235ms/step - loss: 1.0734 - mean_absolute_error: 0.8267
```  ```
- 47/1599 ━━━━━━━━━━━━━━━━━━━━ 9:47 379ms/step - loss: 1.1084 - mean_absolute_error: 0.8403 + 47/1599 ━━━━━━━━━━━━━━━━━━━━ 6:06 236ms/step - loss: 1.0730 - mean_absolute_error: 0.8266
```  ```
- 48/1599 ━━━━━━━━━━━━━━━━━━━━ 9:47 379ms/step - loss: 1.1076 - mean_absolute_error: 0.8400 + 48/1599 ━━━━━━━━━━━━━━━━━━━━ 6:07 237ms/step - loss: 1.0726 - mean_absolute_error: 0.8265
```  ```
- 49/1599 ━━━━━━━━━━━━━━━━━━━━ 9:46 378ms/step - loss: 1.1069 - mean_absolute_error: 0.8398 + 49/1599 ━━━━━━━━━━━━━━━━━━━━ 6:06 236ms/step - loss: 1.0724 - mean_absolute_error: 0.8265
```  ```
- 50/1599 ━━━━━━━━━━━━━━━━━━━━ 9:47 379ms/step - loss: 1.1062 - mean_absolute_error: 0.8396 + 50/1599 ━━━━━━━━━━━━━━━━━━━━ 6:06 237ms/step - loss: 1.0722 - mean_absolute_error: 0.8265
```  ```
- 51/1599 ━━━━━━━━━━━━━━━━━━━━ 9:47 379ms/step - loss: 1.1055 - mean_absolute_error: 0.8393 + 51/1599 ━━━━━━━━━━━━━━━━━━━━ 6:21 247ms/step - loss: 1.0721 - mean_absolute_error: 0.8265
```  ```
- 52/1599 ━━━━━━━━━━━━━━━━━━━━ 9:46 379ms/step - loss: 1.1048 - mean_absolute_error: 0.8391 + 52/1599 ━━━━━━━━━━━━━━━━━━━━ 6:21 246ms/step - loss: 1.0720 - mean_absolute_error: 0.8265
```  ```
- 53/1599 ━━━━━━━━━━━━━━━━━━━━ 9:45 379ms/step - loss: 1.1041 - mean_absolute_error: 0.8389 + 53/1599 ━━━━━━━━━━━━━━━━━━━━ 6:19 246ms/step - loss: 1.0719 - mean_absolute_error: 0.8265
```  ```
- 54/1599 ━━━━━━━━━━━━━━━━━━━━ 9:45 379ms/step - loss: 1.1034 - mean_absolute_error: 0.8387 + 54/1599 ━━━━━━━━━━━━━━━━━━━━ 6:19 245ms/step - loss: 1.0717 - mean_absolute_error: 0.8265
```  ```
- 55/1599 ━━━━━━━━━━━━━━━━━━━━ 9:46 380ms/step - loss: 1.1027 - mean_absolute_error: 0.8384 + 55/1599 ━━━━━━━━━━━━━━━━━━━━ 6:17 245ms/step - loss: 1.0716 - mean_absolute_error: 0.8265
```  ```
- 56/1599 ━━━━━━━━━━━━━━━━━━━━ 9:46 380ms/step - loss: 1.1021 - mean_absolute_error: 0.8382 + 56/1599 ━━━━━━━━━━━━━━━━━━━━ 6:16 244ms/step - loss: 1.0714 - mean_absolute_error: 0.8265
```  ```
- 57/1599 ━━━━━━━━━━━━━━━━━━━━ 9:46 381ms/step - loss: 1.1014 - mean_absolute_error: 0.8380 + 57/1599 ━━━━━━━━━━━━━━━━━━━━ 6:15 243ms/step - loss: 1.0712 - mean_absolute_error: 0.8265
```  ```
- 58/1599 ━━━━━━━━━━━━━━━━━━━━ 9:47 381ms/step - loss: 1.1008 - mean_absolute_error: 0.8378 + 58/1599 ━━━━━━━━━━━━━━━━━━━━ 6:13 243ms/step - loss: 1.0709 - mean_absolute_error: 0.8265
```  ```
- 59/1599 ━━━━━━━━━━━━━━━━━━━━ 9:47 381ms/step - loss: 1.1002 - mean_absolute_error: 0.8376 + 59/1599 ━━━━━━━━━━━━━━━━━━━━ 6:12 242ms/step - loss: 1.0707 - mean_absolute_error: 0.8264
```  ```
- 60/1599 ━━━━━━━━━━━━━━━━━━━━ 9:47 382ms/step - loss: 1.0997 - mean_absolute_error: 0.8375 + 60/1599 ━━━━━━━━━━━━━━━━━━━━ 6:11 242ms/step - loss: 1.0704 - mean_absolute_error: 0.8264
```  ```
- 61/1599 ━━━━━━━━━━━━━━━━━━━━ 9:46 381ms/step - loss: 1.0991 - mean_absolute_error: 0.8373 + 61/1599 ━━━━━━━━━━━━━━━━━━━━ 6:11 241ms/step - loss: 1.0701 - mean_absolute_error: 0.8263
```  ```
- 62/1599 ━━━━━━━━━━━━━━━━━━━━ 9:46 381ms/step - loss: 1.0985 - mean_absolute_error: 0.8371 + 62/1599 ━━━━━━━━━━━━━━━━━━━━ 6:10 241ms/step - loss: 1.0699 - mean_absolute_error: 0.8263
```  ```
- 63/1599 ━━━━━━━━━━━━━━━━━━━━ 9:45 381ms/step - loss: 1.0980 - mean_absolute_error: 0.8369 + 63/1599 ━━━━━━━━━━━━━━━━━━━━ 6:09 241ms/step - loss: 1.0696 - mean_absolute_error: 0.8262
```  ```
- 64/1599 ━━━━━━━━━━━━━━━━━━━━ 9:44 381ms/step - loss: 1.0975 - mean_absolute_error: 0.8368 + 64/1599 ━━━━━━━━━━━━━━━━━━━━ 6:09 240ms/step - loss: 1.0694 - mean_absolute_error: 0.8262
```  ```
- 65/1599 ━━━━━━━━━━━━━━━━━━━━ 9:44 381ms/step - loss: 1.0969 - mean_absolute_error: 0.8366 + 65/1599 ━━━━━━━━━━━━━━━━━━━━ 6:08 240ms/step - loss: 1.0691 - mean_absolute_error: 0.8261
```  ```
- 66/1599 ━━━━━━━━━━━━━━━━━━━━ 9:44 381ms/step - loss: 1.0964 - mean_absolute_error: 0.8364 + 66/1599 ━━━━━━━━━━━━━━━━━━━━ 6:07 240ms/step - loss: 1.0690 - mean_absolute_error: 0.8261
```  ```
- 67/1599 ━━━━━━━━━━━━━━━━━━━━ 9:42 381ms/step - loss: 1.0959 - mean_absolute_error: 0.8363 + 67/1599 ━━━━━━━━━━━━━━━━━━━━ 6:07 240ms/step - loss: 1.0688 - mean_absolute_error: 0.8261
```  ```
- 68/1599 ━━━━━━━━━━━━━━━━━━━━ 9:42 381ms/step - loss: 1.0955 - mean_absolute_error: 0.8361 + 68/1599 ━━━━━━━━━━━━━━━━━━━━ 6:06 239ms/step - loss: 1.0686 - mean_absolute_error: 0.8261
```  ```
- 69/1599 ━━━━━━━━━━━━━━━━━━━━ 9:41 380ms/step - loss: 1.0950 - mean_absolute_error: 0.8359 + 69/1599 ━━━━━━━━━━━━━━━━━━━━ 6:05 239ms/step - loss: 1.0684 - mean_absolute_error: 0.8260
```  ```
- 70/1599 ━━━━━━━━━━━━━━━━━━━━ 9:40 380ms/step - loss: 1.0945 - mean_absolute_error: 0.8358 + 70/1599 ━━━━━━━━━━━━━━━━━━━━ 6:05 239ms/step - loss: 1.0682 - mean_absolute_error: 0.8260
```  ```
- 71/1599 ━━━━━━━━━━━━━━━━━━━━ 9:40 380ms/step - loss: 1.0940 - mean_absolute_error: 0.8356 + 71/1599 ━━━━━━━━━━━━━━━━━━━━ 6:04 239ms/step - loss: 1.0680 - mean_absolute_error: 0.8260
```  ```
- 72/1599 ━━━━━━━━━━━━━━━━━━━━ 9:40 380ms/step - loss: 1.0936 - mean_absolute_error: 0.8354 + 72/1599 ━━━━━━━━━━━━━━━━━━━━ 6:04 239ms/step - loss: 1.0678 - mean_absolute_error: 0.8259
```  ```
- 73/1599 ━━━━━━━━━━━━━━━━━━━━ 9:40 380ms/step - loss: 1.0932 - mean_absolute_error: 0.8353 + 73/1599 ━━━━━━━━━━━━━━━━━━━━ 6:03 238ms/step - loss: 1.0676 - mean_absolute_error: 0.8259
```  ```
- 74/1599 ━━━━━━━━━━━━━━━━━━━━ 9:40 380ms/step - loss: 1.0927 - mean_absolute_error: 0.8351 + 74/1599 ━━━━━━━━━━━━━━━━━━━━ 6:03 239ms/step - loss: 1.0674 - mean_absolute_error: 0.8259
```  ```
- 75/1599 ━━━━━━━━━━━━━━━━━━━━ 9:39 380ms/step - loss: 1.0922 - mean_absolute_error: 0.8350 + 75/1599 ━━━━━━━━━━━━━━━━━━━━ 6:04 239ms/step - loss: 1.0672 - mean_absolute_error: 0.8258
```  ```
- 76/1599 ━━━━━━━━━━━━━━━━━━━━ 9:38 380ms/step - loss: 1.0917 - mean_absolute_error: 0.8348 + 76/1599 ━━━━━━━━━━━━━━━━━━━━ 6:04 240ms/step - loss: 1.0670 - mean_absolute_error: 0.8258
```  ```
- 77/1599 ━━━━━━━━━━━━━━━━━━━━ 9:38 380ms/step - loss: 1.0913 - mean_absolute_error: 0.8346 + 77/1599 ━━━━━━━━━━━━━━━━━━━━ 6:05 240ms/step - loss: 1.0668 - mean_absolute_error: 0.8258
```  ```
- 78/1599 ━━━━━━━━━━━━━━━━━━━━ 9:38 380ms/step - loss: 1.0908 - mean_absolute_error: 0.8345 + 78/1599 ━━━━━━━━━━━━━━━━━━━━ 6:05 240ms/step - loss: 1.0666 - mean_absolute_error: 0.8257
```  ```
- 79/1599 ━━━━━━━━━━━━━━━━━━━━ 9:37 380ms/step - loss: 1.0904 - mean_absolute_error: 0.8343 + 79/1599 ━━━━━━━━━━━━━━━━━━━━ 6:05 241ms/step - loss: 1.0664 - mean_absolute_error: 0.8257
```  ```
- 80/1599 ━━━━━━━━━━━━━━━━━━━━ 9:37 380ms/step - loss: 1.0899 - mean_absolute_error: 0.8342 + 80/1599 ━━━━━━━━━━━━━━━━━━━━ 6:06 241ms/step - loss: 1.0662 - mean_absolute_error: 0.8257
```  ```
- 81/1599 ━━━━━━━━━━━━━━━━━━━━ 9:36 380ms/step - loss: 1.0895 - mean_absolute_error: 0.8340 + 81/1599 ━━━━━━━━━━━━━━━━━━━━ 6:06 241ms/step - loss: 1.0661 - mean_absolute_error: 0.8257
```  ```
- 82/1599 ━━━━━━━━━━━━━━━━━━━━ 9:36 380ms/step - loss: 1.0891 - mean_absolute_error: 0.8339 + 82/1599 ━━━━━━━━━━━━━━━━━━━━ 6:05 241ms/step - loss: 1.0659 - mean_absolute_error: 0.8256
```  ```
- 83/1599 ━━━━━━━━━━━━━━━━━━━━ 9:35 380ms/step - loss: 1.0887 - mean_absolute_error: 0.8337 + 83/1599 ━━━━━━━━━━━━━━━━━━━━ 6:05 241ms/step - loss: 1.0658 - mean_absolute_error: 0.8256
```  ```
- 84/1599 ━━━━━━━━━━━━━━━━━━━━ 9:35 380ms/step - loss: 1.0883 - mean_absolute_error: 0.8336 + 84/1599 ━━━━━━━━━━━━━━━━━━━━ 6:05 241ms/step - loss: 1.0657 - mean_absolute_error: 0.8256
```  ```
- 85/1599 ━━━━━━━━━━━━━━━━━━━━ 9:34 380ms/step - loss: 1.0879 - mean_absolute_error: 0.8335 + 85/1599 ━━━━━━━━━━━━━━━━━━━━ 6:05 241ms/step - loss: 1.0656 - mean_absolute_error: 0.8256
```  ```
- 86/1599 ━━━━━━━━━━━━━━━━━━━━ 9:34 380ms/step - loss: 1.0876 - mean_absolute_error: 0.8333 + 86/1599 ━━━━━━━━━━━━━━━━━━━━ 6:04 241ms/step - loss: 1.0655 - mean_absolute_error: 0.8256
```  ```
- 87/1599 ━━━━━━━━━━━━━━━━━━━━ 9:33 380ms/step - loss: 1.0872 - mean_absolute_error: 0.8332 + 87/1599 ━━━━━━━━━━━━━━━━━━━━ 6:04 241ms/step - loss: 1.0653 - mean_absolute_error: 0.8256
```  ```
- 88/1599 ━━━━━━━━━━━━━━━━━━━━ 9:33 380ms/step - loss: 1.0869 - mean_absolute_error: 0.8331 + 88/1599 ━━━━━━━━━━━━━━━━━━━━ 6:03 241ms/step - loss: 1.0652 - mean_absolute_error: 0.8256
```  ```
- 89/1599 ━━━━━━━━━━━━━━━━━━━━ 9:32 379ms/step - loss: 1.0865 - mean_absolute_error: 0.8330 + 89/1599 ━━━━━━━━━━━━━━━━━━━━ 6:03 241ms/step - loss: 1.0651 - mean_absolute_error: 0.8256
```  ```
- 90/1599 ━━━━━━━━━━━━━━━━━━━━ 9:32 380ms/step - loss: 1.0862 - mean_absolute_error: 0.8329 + 90/1599 ━━━━━━━━━━━━━━━━━━━━ 6:03 241ms/step - loss: 1.0651 - mean_absolute_error: 0.8256
```  ```
- 91/1599 ━━━━━━━━━━━━━━━━━━━━ 9:32 380ms/step - loss: 1.0859 - mean_absolute_error: 0.8327 + 91/1599 ━━━━━━━━━━━━━━━━━━━━ 6:03 241ms/step - loss: 1.0650 - mean_absolute_error: 0.8256
```  ```
- 92/1599 ━━━━━━━━━━━━━━━━━━━━ 9:32 380ms/step - loss: 1.0856 - mean_absolute_error: 0.8326 + 92/1599 ━━━━━━━━━━━━━━━━━━━━ 6:03 241ms/step - loss: 1.0649 - mean_absolute_error: 0.8256
```  ```
- 93/1599 ━━━━━━━━━━━━━━━━━━━━ 9:31 380ms/step - loss: 1.0853 - mean_absolute_error: 0.8325 + 93/1599 ━━━━━━━━━━━━━━━━━━━━ 6:02 241ms/step - loss: 1.0649 - mean_absolute_error: 0.8256
```  ```
- 94/1599 ━━━━━━━━━━━━━━━━━━━━ 9:31 380ms/step - loss: 1.0850 - mean_absolute_error: 0.8324 + 94/1599 ━━━━━━━━━━━━━━━━━━━━ 6:02 241ms/step - loss: 1.0648 - mean_absolute_error: 0.8256
```  ```
- 95/1599 ━━━━━━━━━━━━━━━━━━━━ 9:31 380ms/step - loss: 1.0847 - mean_absolute_error: 0.8323 + 95/1599 ━━━━━━━━━━━━━━━━━━━━ 6:01 241ms/step - loss: 1.0648 - mean_absolute_error: 0.8256
```  ```
- 96/1599 ━━━━━━━━━━━━━━━━━━━━ 9:31 380ms/step - loss: 1.0844 - mean_absolute_error: 0.8322 + 96/1599 ━━━━━━━━━━━━━━━━━━━━ 6:02 241ms/step - loss: 1.0647 - mean_absolute_error: 0.8256
```  ```
- 97/1599 ━━━━━━━━━━━━━━━━━━━━ 9:31 380ms/step - loss: 1.0842 - mean_absolute_error: 0.8321 + 97/1599 ━━━━━━━━━━━━━━━━━━━━ 6:02 241ms/step - loss: 1.0647 - mean_absolute_error: 0.8256
```  ```
- 98/1599 ━━━━━━━━━━━━━━━━━━━━ 9:31 381ms/step - loss: 1.0839 - mean_absolute_error: 0.8321 + 98/1599 ━━━━━━━━━━━━━━━━━━━━ 6:02 242ms/step - loss: 1.0646 - mean_absolute_error: 0.8256
```  ```
- 99/1599 ━━━━━━━━━━━━━━━━━━━━ 9:31 381ms/step - loss: 1.0837 - mean_absolute_error: 0.8320 + 99/1599 ━━━━━━━━━━━━━━━━━━━━ 6:03 242ms/step - loss: 1.0646 - mean_absolute_error: 0.8256
```  ```
- 100/1599 ━━━━━━━━━━━━━━━━━━━━ 9:30 380ms/step - loss: 1.0835 - mean_absolute_error: 0.8319 + 100/1599 ━━━━━━━━━━━━━━━━━━━━ 6:03 243ms/step - loss: 1.0645 - mean_absolute_error: 0.8256
```  ```
- 101/1599 ━━━━━━━━━━━━━━━━━━━━ 9:29 380ms/step - loss: 1.0833 - mean_absolute_error: 0.8318 + 101/1599 ━━━━━━━━━━━━━━━━━━━━ 6:03 243ms/step - loss: 1.0645 - mean_absolute_error: 0.8256
```  ```
- 102/1599 ━━━━━━━━━━━━━━━━━━━━ 9:28 380ms/step - loss: 1.0830 - mean_absolute_error: 0.8318 + 102/1599 ━━━━━━━━━━━━━━━━━━━━ 6:03 243ms/step - loss: 1.0645 - mean_absolute_error: 0.8256
```  ```
- 103/1599 ━━━━━━━━━━━━━━━━━━━━ 9:28 380ms/step - loss: 1.0828 - mean_absolute_error: 0.8317 + 103/1599 ━━━━━━━━━━━━━━━━━━━━ 6:03 243ms/step - loss: 1.0644 - mean_absolute_error: 0.8256
```  ```
- 104/1599 ━━━━━━━━━━━━━━━━━━━━ 9:27 380ms/step - loss: 1.0826 - mean_absolute_error: 0.8316 + 104/1599 ━━━━━━━━━━━━━━━━━━━━ 6:02 243ms/step - loss: 1.0644 - mean_absolute_error: 0.8256
```  ```
- 105/1599 ━━━━━━━━━━━━━━━━━━━━ 9:27 380ms/step - loss: 1.0824 - mean_absolute_error: 0.8315 + 105/1599 ━━━━━━━━━━━━━━━━━━━━ 6:02 243ms/step - loss: 1.0643 - mean_absolute_error: 0.8256
```  ```
- 106/1599 ━━━━━━━━━━━━━━━━━━━━ 9:26 380ms/step - loss: 1.0822 - mean_absolute_error: 0.8315 + 106/1599 ━━━━━━━━━━━━━━━━━━━━ 6:02 243ms/step - loss: 1.0643 - mean_absolute_error: 0.8256
```  ```
- 107/1599 ━━━━━━━━━━━━━━━━━━━━ 9:26 380ms/step - loss: 1.0820 - mean_absolute_error: 0.8314 + 107/1599 ━━━━━━━━━━━━━━━━━━━━ 6:02 243ms/step - loss: 1.0642 - mean_absolute_error: 0.8256
```  ```
- 108/1599 ━━━━━━━━━━━━━━━━━━━━ 9:25 379ms/step - loss: 1.0818 - mean_absolute_error: 0.8313 + 108/1599 ━━━━━━━━━━━━━━━━━━━━ 6:02 243ms/step - loss: 1.0642 - mean_absolute_error: 0.8256
```  ```
- 109/1599 ━━━━━━━━━━━━━━━━━━━━ 9:25 380ms/step - loss: 1.0816 - mean_absolute_error: 0.8312 + 109/1599 ━━━━━━━━━━━━━━━━━━━━ 6:01 243ms/step - loss: 1.0642 - mean_absolute_error: 0.8256
```  ```
- 110/1599 ━━━━━━━━━━━━━━━━━━━━ 9:25 380ms/step - loss: 1.0814 - mean_absolute_error: 0.8311 + 110/1599 ━━━━━━━━━━━━━━━━━━━━ 6:01 243ms/step - loss: 1.0642 - mean_absolute_error: 0.8256
```  ```
- 111/1599 ━━━━━━━━━━━━━━━━━━━━ 9:25 380ms/step - loss: 1.0812 - mean_absolute_error: 0.8311 + 111/1599 ━━━━━━━━━━━━━━━━━━━━ 6:01 243ms/step - loss: 1.0641 - mean_absolute_error: 0.8256
```  ```
- 112/1599 ━━━━━━━━━━━━━━━━━━━━ 9:25 381ms/step - loss: 1.0810 - mean_absolute_error: 0.8310 + 112/1599 ━━━━━━━━━━━━━━━━━━━━ 6:00 243ms/step - loss: 1.0641 - mean_absolute_error: 0.8256
```  ```
- 113/1599 ━━━━━━━━━━━━━━━━━━━━ 9:26 381ms/step - loss: 1.0808 - mean_absolute_error: 0.8309 + 113/1599 ━━━━━━━━━━━━━━━━━━━━ 6:00 243ms/step - loss: 1.0641 - mean_absolute_error: 0.8256
```  ```
- 114/1599 ━━━━━━━━━━━━━━━━━━━━ 9:27 382ms/step - loss: 1.0806 - mean_absolute_error: 0.8309 + 114/1599 ━━━━━━━━━━━━━━━━━━━━ 6:00 243ms/step - loss: 1.0640 - mean_absolute_error: 0.8256
```  ```
- 115/1599 ━━━━━━━━━━━━━━━━━━━━ 9:28 383ms/step - loss: 1.0805 - mean_absolute_error: 0.8308 + 115/1599 ━━━━━━━━━━━━━━━━━━━━ 6:00 243ms/step - loss: 1.0640 - mean_absolute_error: 0.8256
```  ```
- 116/1599 ━━━━━━━━━━━━━━━━━━━━ 9:28 383ms/step - loss: 1.0803 - mean_absolute_error: 0.8308 + 116/1599 ━━━━━━━━━━━━━━━━━━━━ 6:00 243ms/step - loss: 1.0640 - mean_absolute_error: 0.8256
```  ```
- 117/1599 ━━━━━━━━━━━━━━━━━━━━ 9:28 384ms/step - loss: 1.0801 - mean_absolute_error: 0.8307 + 117/1599 ━━━━━━━━━━━━━━━━━━━━ 6:00 243ms/step - loss: 1.0640 - mean_absolute_error: 0.8256
```  ```
- 118/1599 ━━━━━━━━━━━━━━━━━━━━ 9:29 384ms/step - loss: 1.0799 - mean_absolute_error: 0.8306 + 118/1599 ━━━━━━━━━━━━━━━━━━━━ 6:00 243ms/step - loss: 1.0639 - mean_absolute_error: 0.8256
```  ```
- 119/1599 ━━━━━━━━━━━━━━━━━━━━ 9:28 384ms/step - loss: 1.0798 - mean_absolute_error: 0.8306 + 119/1599 ━━━━━━━━━━━━━━━━━━━━ 5:59 243ms/step - loss: 1.0639 - mean_absolute_error: 0.8256
```  ```
- 120/1599 ━━━━━━━━━━━━━━━━━━━━ 9:28 384ms/step - loss: 1.0796 - mean_absolute_error: 0.8305 + 120/1599 ━━━━━━━━━━━━━━━━━━━━ 5:59 243ms/step - loss: 1.0639 - mean_absolute_error: 0.8256
```  ```
- 121/1599 ━━━━━━━━━━━━━━━━━━━━ 9:27 384ms/step - loss: 1.0794 - mean_absolute_error: 0.8304 + 121/1599 ━━━━━━━━━━━━━━━━━━━━ 5:59 243ms/step - loss: 1.0639 - mean_absolute_error: 0.8256
```  ```
- 122/1599 ━━━━━━━━━━━━━━━━━━━━ 9:26 383ms/step - loss: 1.0793 - mean_absolute_error: 0.8304 + 122/1599 ━━━━━━━━━━━━━━━━━━━━ 5:59 243ms/step - loss: 1.0639 - mean_absolute_error: 0.8256
```  ```
- 123/1599 ━━━━━━━━━━━━━━━━━━━━ 9:24 383ms/step - loss: 1.0791 - mean_absolute_error: 0.8303 + 123/1599 ━━━━━━━━━━━━━━━━━━━━ 5:59 243ms/step - loss: 1.0639 - mean_absolute_error: 0.8256
```  ```
- 124/1599 ━━━━━━━━━━━━━━━━━━━━ 9:23 382ms/step - loss: 1.0789 - mean_absolute_error: 0.8303 + 124/1599 ━━━━━━━━━━━━━━━━━━━━ 5:58 243ms/step - loss: 1.0638 - mean_absolute_error: 0.8256
```  ```
- 125/1599 ━━━━━━━━━━━━━━━━━━━━ 9:22 382ms/step - loss: 1.0788 - mean_absolute_error: 0.8302 + 125/1599 ━━━━━━━━━━━━━━━━━━━━ 5:58 243ms/step - loss: 1.0638 - mean_absolute_error: 0.8256
```  ```
- 126/1599 ━━━━━━━━━━━━━━━━━━━━ 9:22 382ms/step - loss: 1.0786 - mean_absolute_error: 0.8301 + 126/1599 ━━━━━━━━━━━━━━━━━━━━ 5:57 243ms/step - loss: 1.0638 - mean_absolute_error: 0.8256
```  ```
- 127/1599 ━━━━━━━━━━━━━━━━━━━━ 9:21 381ms/step - loss: 1.0784 - mean_absolute_error: 0.8301 + 127/1599 ━━━━━━━━━━━━━━━━━━━━ 5:57 243ms/step - loss: 1.0638 - mean_absolute_error: 0.8256
```  ```
- 128/1599 ━━━━━━━━━━━━━━━━━━━━ 9:21 381ms/step - loss: 1.0783 - mean_absolute_error: 0.8300 + 128/1599 ━━━━━━━━━━━━━━━━━━━━ 5:56 242ms/step - loss: 1.0638 - mean_absolute_error: 0.8256
```  ```
- 129/1599 ━━━━━━━━━━━━━━━━━━━━ 9:20 381ms/step - loss: 1.0781 - mean_absolute_error: 0.8299 + 129/1599 ━━━━━━━━━━━━━━━━━━━━ 5:56 242ms/step - loss: 1.0638 - mean_absolute_error: 0.8256
```  ```
- 130/1599 ━━━━━━━━━━━━━━━━━━━━ 9:19 381ms/step - loss: 1.0780 - mean_absolute_error: 0.8299 + 130/1599 ━━━━━━━━━━━━━━━━━━━━ 5:55 242ms/step - loss: 1.0637 - mean_absolute_error: 0.8256
```  ```
- 131/1599 ━━━━━━━━━━━━━━━━━━━━ 9:18 381ms/step - loss: 1.0778 - mean_absolute_error: 0.8298 + 131/1599 ━━━━━━━━━━━━━━━━━━━━ 5:54 242ms/step - loss: 1.0637 - mean_absolute_error: 0.8256
```  ```
- 132/1599 ━━━━━━━━━━━━━━━━━━━━ 9:17 380ms/step - loss: 1.0777 - mean_absolute_error: 0.8297 + 132/1599 ━━━━━━━━━━━━━━━━━━━━ 5:54 242ms/step - loss: 1.0637 - mean_absolute_error: 0.8256
```  ```
- 133/1599 ━━━━━━━━━━━━━━━━━━━━ 9:17 380ms/step - loss: 1.0775 - mean_absolute_error: 0.8297 + 133/1599 ━━━━━━━━━━━━━━━━━━━━ 5:54 242ms/step - loss: 1.0637 - mean_absolute_error: 0.8256
```  ```
- 134/1599 ━━━━━━━━━━━━━━━━━━━━ 9:16 380ms/step - loss: 1.0773 - mean_absolute_error: 0.8296 + 134/1599 ━━━━━━━━━━━━━━━━━━━━ 5:53 241ms/step - loss: 1.0636 - mean_absolute_error: 0.8255
```  ```
- 135/1599 ━━━━━━━━━━━━━━━━━━━━ 9:17 381ms/step - loss: 1.0772 - mean_absolute_error: 0.8296 + 135/1599 ━━━━━━━━━━━━━━━━━━━━ 5:53 241ms/step - loss: 1.0636 - mean_absolute_error: 0.8255
```  ```
- 136/1599 ━━━━━━━━━━━━━━━━━━━━ 9:17 381ms/step - loss: 1.0770 - mean_absolute_error: 0.8295 + 136/1599 ━━━━━━━━━━━━━━━━━━━━ 5:52 241ms/step - loss: 1.0636 - mean_absolute_error: 0.8255
```  ```
- 137/1599 ━━━━━━━━━━━━━━━━━━━━ 9:18 382ms/step - loss: 1.0769 - mean_absolute_error: 0.8294 + 137/1599 ━━━━━━━━━━━━━━━━━━━━ 5:52 241ms/step - loss: 1.0636 - mean_absolute_error: 0.8255
```  ```
- 138/1599 ━━━━━━━━━━━━━━━━━━━━ 9:18 382ms/step - loss: 1.0767 - mean_absolute_error: 0.8294 + 138/1599 ━━━━━━━━━━━━━━━━━━━━ 5:52 241ms/step - loss: 1.0635 - mean_absolute_error: 0.8255
```  ```
- 139/1599 ━━━━━━━━━━━━━━━━━━━━ 9:18 382ms/step - loss: 1.0766 - mean_absolute_error: 0.8293 + 139/1599 ━━━━━━━━━━━━━━━━━━━━ 5:51 241ms/step - loss: 1.0635 - mean_absolute_error: 0.8255
```  ```
- 140/1599 ━━━━━━━━━━━━━━━━━━━━ 9:18 383ms/step - loss: 1.0765 - mean_absolute_error: 0.8293 + 140/1599 ━━━━━━━━━━━━━━━━━━━━ 5:51 241ms/step - loss: 1.0635 - mean_absolute_error: 0.8255
```  ```
- 141/1599 ━━━━━━━━━━━━━━━━━━━━ 9:17 383ms/step - loss: 1.0763 - mean_absolute_error: 0.8292 + 141/1599 ━━━━━━━━━━━━━━━━━━━━ 5:51 241ms/step - loss: 1.0635 - mean_absolute_error: 0.8255
```  ```
- 142/1599 ━━━━━━━━━━━━━━━━━━━━ 9:17 383ms/step - loss: 1.0762 - mean_absolute_error: 0.8292 + 142/1599 ━━━━━━━━━━━━━━━━━━━━ 5:50 241ms/step - loss: 1.0634 - mean_absolute_error: 0.8255
```  ```
- 143/1599 ━━━━━━━━━━━━━━━━━━━━ 9:16 382ms/step - loss: 1.0760 - mean_absolute_error: 0.8291 + 143/1599 ━━━━━━━━━━━━━━━━━━━━ 5:50 241ms/step - loss: 1.0634 - mean_absolute_error: 0.8255
```  ```
- 144/1599 ━━━━━━━━━━━━━━━━━━━━ 9:15 382ms/step - loss: 1.0759 - mean_absolute_error: 0.8291 + 144/1599 ━━━━━━━━━━━━━━━━━━━━ 5:49 240ms/step - loss: 1.0634 - mean_absolute_error: 0.8255
```  ```
- 145/1599 ━━━━━━━━━━━━━━━━━━━━ 9:15 382ms/step - loss: 1.0758 - mean_absolute_error: 0.8290 + 145/1599 ━━━━━━━━━━━━━━━━━━━━ 5:49 240ms/step - loss: 1.0633 - mean_absolute_error: 0.8255
```  ```
- 146/1599 ━━━━━━━━━━━━━━━━━━━━ 9:14 382ms/step - loss: 1.0756 - mean_absolute_error: 0.8290 + 146/1599 ━━━━━━━━━━━━━━━━━━━━ 5:49 240ms/step - loss: 1.0633 - mean_absolute_error: 0.8255
```  ```
- 147/1599 ━━━━━━━━━━━━━━━━━━━━ 9:14 382ms/step - loss: 1.0755 - mean_absolute_error: 0.8289 + 147/1599 ━━━━━━━━━━━━━━━━━━━━ 5:49 241ms/step - loss: 1.0633 - mean_absolute_error: 0.8255
```  ```
- 148/1599 ━━━━━━━━━━━━━━━━━━━━ 9:14 382ms/step - loss: 1.0754 - mean_absolute_error: 0.8289 + 148/1599 ━━━━━━━━━━━━━━━━━━━━ 5:49 241ms/step - loss: 1.0632 - mean_absolute_error: 0.8254
```  ```
- 149/1599 ━━━━━━━━━━━━━━━━━━━━ 9:14 382ms/step - loss: 1.0752 - mean_absolute_error: 0.8288 + 149/1599 ━━━━━━━━━━━━━━━━━━━━ 5:49 241ms/step - loss: 1.0632 - mean_absolute_error: 0.8254
```  ```
- 150/1599 ━━━━━━━━━━━━━━━━━━━━ 9:14 383ms/step - loss: 1.0751 - mean_absolute_error: 0.8287 + 150/1599 ━━━━━━━━━━━━━━━━━━━━ 5:49 241ms/step - loss: 1.0632 - mean_absolute_error: 0.8254
```  ```
- 151/1599 ━━━━━━━━━━━━━━━━━━━━ 9:13 382ms/step - loss: 1.0749 - mean_absolute_error: 0.8287 + 151/1599 ━━━━━━━━━━━━━━━━━━━━ 5:49 241ms/step - loss: 1.0631 - mean_absolute_error: 0.8254
```  ```
- 152/1599 ━━━━━━━━━━━━━━━━━━━━ 9:13 383ms/step - loss: 1.0748 - mean_absolute_error: 0.8286 + 152/1599 ━━━━━━━━━━━━━━━━━━━━ 5:49 242ms/step - loss: 1.0631 - mean_absolute_error: 0.8254
```  ```
- 153/1599 ━━━━━━━━━━━━━━━━━━━━ 9:13 383ms/step - loss: 1.0746 - mean_absolute_error: 0.8286 + 153/1599 ━━━━━━━━━━━━━━━━━━━━ 5:49 242ms/step - loss: 1.0630 - mean_absolute_error: 0.8254
```  ```
- 154/1599 ━━━━━━━━━━━━━━━━━━━━ 9:13 383ms/step - loss: 1.0745 - mean_absolute_error: 0.8285 + 154/1599 ━━━━━━━━━━━━━━━━━━━━ 5:49 242ms/step - loss: 1.0630 - mean_absolute_error: 0.8254
```  ```
- 155/1599 ━━━━━━━━━━━━━━━━━━━━ 9:12 383ms/step - loss: 1.0744 - mean_absolute_error: 0.8285 + 155/1599 ━━━━━━━━━━━━━━━━━━━━ 5:49 242ms/step - loss: 1.0629 - mean_absolute_error: 0.8253
```  ```
- 156/1599 ━━━━━━━━━━━━━━━━━━━━ 9:12 383ms/step - loss: 1.0742 - mean_absolute_error: 0.8284 + 156/1599 ━━━━━━━━━━━━━━━━━━━━ 5:48 242ms/step - loss: 1.0629 - mean_absolute_error: 0.8253
```  ```
- 157/1599 ━━━━━━━━━━━━━━━━━━━━ 9:12 383ms/step - loss: 1.0741 - mean_absolute_error: 0.8284 + 157/1599 ━━━━━━━━━━━━━━━━━━━━ 5:48 242ms/step - loss: 1.0628 - mean_absolute_error: 0.8253
```  ```
- 158/1599 ━━━━━━━━━━━━━━━━━━━━ 9:11 383ms/step - loss: 1.0740 - mean_absolute_error: 0.8283 + 158/1599 ━━━━━━━━━━━━━━━━━━━━ 5:48 242ms/step - loss: 1.0627 - mean_absolute_error: 0.8253
```  ```
- 159/1599 ━━━━━━━━━━━━━━━━━━━━ 9:11 383ms/step - loss: 1.0738 - mean_absolute_error: 0.8283 + 159/1599 ━━━━━━━━━━━━━━━━━━━━ 5:47 242ms/step - loss: 1.0627 - mean_absolute_error: 0.8252
```  ```
- 160/1599 ━━━━━━━━━━━━━━━━━━━━ 9:10 383ms/step - loss: 1.0737 - mean_absolute_error: 0.8282 + 160/1599 ━━━━━━━━━━━━━━━━━━━━ 5:47 241ms/step - loss: 1.0626 - mean_absolute_error: 0.8252
```  ```
- 161/1599 ━━━━━━━━━━━━━━━━━━━━ 9:10 383ms/step - loss: 1.0736 - mean_absolute_error: 0.8282 + 161/1599 ━━━━━━━━━━━━━━━━━━━━ 5:46 241ms/step - loss: 1.0625 - mean_absolute_error: 0.8252
```  ```
- 162/1599 ━━━━━━━━━━━━━━━━━━━━ 9:10 383ms/step - loss: 1.0734 - mean_absolute_error: 0.8281 + 162/1599 ━━━━━━━━━━━━━━━━━━━━ 5:46 241ms/step - loss: 1.0625 - mean_absolute_error: 0.8252
```  ```
- 163/1599 ━━━━━━━━━━━━━━━━━━━━ 9:10 383ms/step - loss: 1.0733 - mean_absolute_error: 0.8281 + 163/1599 ━━━━━━━━━━━━━━━━━━━━ 5:46 241ms/step - loss: 1.0624 - mean_absolute_error: 0.8251
```  ```
- 164/1599 ━━━━━━━━━━━━━━━━━━━━ 9:10 384ms/step - loss: 1.0732 - mean_absolute_error: 0.8280 + 164/1599 ━━━━━━━━━━━━━━━━━━━━ 5:45 241ms/step - loss: 1.0623 - mean_absolute_error: 0.8251
```  ```
- 165/1599 ━━━━━━━━━━━━━━━━━━━━ 9:11 384ms/step - loss: 1.0730 - mean_absolute_error: 0.8280 + 165/1599 ━━━━━━━━━━━━━━━━━━━━ 5:45 241ms/step - loss: 1.0623 - mean_absolute_error: 0.8251
```  ```
- 166/1599 ━━━━━━━━━━━━━━━━━━━━ 9:11 385ms/step - loss: 1.0729 - mean_absolute_error: 0.8279 + 166/1599 ━━━━━━━━━━━━━━━━━━━━ 5:44 240ms/step - loss: 1.0622 - mean_absolute_error: 0.8251
```  ```
- 167/1599 ━━━━━━━━━━━━━━━━━━━━ 9:11 385ms/step - loss: 1.0727 - mean_absolute_error: 0.8279 + 167/1599 ━━━━━━━━━━━━━━━━━━━━ 5:43 240ms/step - loss: 1.0621 - mean_absolute_error: 0.8250
```  ```
- 168/1599 ━━━━━━━━━━━━━━━━━━━━ 9:10 385ms/step - loss: 1.0726 - mean_absolute_error: 0.8278 + 168/1599 ━━━━━━━━━━━━━━━━━━━━ 5:43 240ms/step - loss: 1.0621 - mean_absolute_error: 0.8250
```  ```
- 169/1599 ━━━━━━━━━━━━━━━━━━━━ 9:10 385ms/step - loss: 1.0725 - mean_absolute_error: 0.8278 + 169/1599 ━━━━━━━━━━━━━━━━━━━━ 5:43 240ms/step - loss: 1.0620 - mean_absolute_error: 0.8250
```  ```
- 170/1599 ━━━━━━━━━━━━━━━━━━━━ 9:10 385ms/step - loss: 1.0723 - mean_absolute_error: 0.8277 + 170/1599 ━━━━━━━━━━━━━━━━━━━━ 5:43 240ms/step - loss: 1.0619 - mean_absolute_error: 0.8250
```  ```
- 171/1599 ━━━━━━━━━━━━━━━━━━━━ 9:09 385ms/step - loss: 1.0722 - mean_absolute_error: 0.8277 + 171/1599 ━━━━━━━━━━━━━━━━━━━━ 5:42 240ms/step - loss: 1.0619 - mean_absolute_error: 0.8249
```  ```
- 172/1599 ━━━━━━━━━━━━━━━━━━━━ 9:09 385ms/step - loss: 1.0721 - mean_absolute_error: 0.8276 + 172/1599 ━━━━━━━━━━━━━━━━━━━━ 5:42 240ms/step - loss: 1.0618 - mean_absolute_error: 0.8249
```  ```
- 173/1599 ━━━━━━━━━━━━━━━━━━━━ 9:08 384ms/step - loss: 1.0719 - mean_absolute_error: 0.8276 + 173/1599 ━━━━━━━━━━━━━━━━━━━━ 5:42 240ms/step - loss: 1.0617 - mean_absolute_error: 0.8249
```  ```
- 174/1599 ━━━━━━━━━━━━━━━━━━━━ 9:07 384ms/step - loss: 1.0718 - mean_absolute_error: 0.8275 + 174/1599 ━━━━━━━━━━━━━━━━━━━━ 5:41 240ms/step - loss: 1.0617 - mean_absolute_error: 0.8249
```  ```
- 175/1599 ━━━━━━━━━━━━━━━━━━━━ 9:06 384ms/step - loss: 1.0717 - mean_absolute_error: 0.8275 + 175/1599 ━━━━━━━━━━━━━━━━━━━━ 5:41 240ms/step - loss: 1.0616 - mean_absolute_error: 0.8249
```  ```
- 176/1599 ━━━━━━━━━━━━━━━━━━━━ 9:05 383ms/step - loss: 1.0716 - mean_absolute_error: 0.8274 + 176/1599 ━━━━━━━━━━━━━━━━━━━━ 5:41 240ms/step - loss: 1.0616 - mean_absolute_error: 0.8248
```  ```
- 177/1599 ━━━━━━━━━━━━━━━━━━━━ 9:04 383ms/step - loss: 1.0714 - mean_absolute_error: 0.8274 + 177/1599 ━━━━━━━━━━━━━━━━━━━━ 5:40 240ms/step - loss: 1.0615 - mean_absolute_error: 0.8248
```  ```
- 178/1599 ━━━━━━━━━━━━━━━━━━━━ 9:04 383ms/step - loss: 1.0713 - mean_absolute_error: 0.8273 + 178/1599 ━━━━━━━━━━━━━━━━━━━━ 5:40 240ms/step - loss: 1.0614 - mean_absolute_error: 0.8248
```  ```
- 179/1599 ━━━━━━━━━━━━━━━━━━━━ 9:03 383ms/step - loss: 1.0712 - mean_absolute_error: 0.8273 + 179/1599 ━━━━━━━━━━━━━━━━━━━━ 5:40 239ms/step - loss: 1.0614 - mean_absolute_error: 0.8248
```  ```
- 180/1599 ━━━━━━━━━━━━━━━━━━━━ 9:02 382ms/step - loss: 1.0711 - mean_absolute_error: 0.8273 + 180/1599 ━━━━━━━━━━━━━━━━━━━━ 5:39 239ms/step - loss: 1.0613 - mean_absolute_error: 0.8247
```  ```
- 181/1599 ━━━━━━━━━━━━━━━━━━━━ 9:02 382ms/step - loss: 1.0710 - mean_absolute_error: 0.8272 + 181/1599 ━━━━━━━━━━━━━━━━━━━━ 5:39 240ms/step - loss: 1.0612 - mean_absolute_error: 0.8247
```  ```
- 182/1599 ━━━━━━━━━━━━━━━━━━━━ 9:01 382ms/step - loss: 1.0709 - mean_absolute_error: 0.8272 + 182/1599 ━━━━━━━━━━━━━━━━━━━━ 5:39 240ms/step - loss: 1.0612 - mean_absolute_error: 0.8247
```  ```
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```  ```
- 184/1599 ━━━━━━━━━━━━━━━━━━━━ 9:00 382ms/step - loss: 1.0707 - mean_absolute_error: 0.8271 + 184/1599 ━━━━━━━━━━━━━━━━━━━━ 5:39 240ms/step - loss: 1.0611 - mean_absolute_error: 0.8247
```  ```
- 185/1599 ━━━━━━━━━━━━━━━━━━━━ 8:59 382ms/step - loss: 1.0706 - mean_absolute_error: 0.8271 + 185/1599 ━━━━━━━━━━━━━━━━━━━━ 5:39 240ms/step - loss: 1.0611 - mean_absolute_error: 0.8246
```  ```
- 186/1599 ━━━━━━━━━━━━━━━━━━━━ 9:00 382ms/step - loss: 1.0705 - mean_absolute_error: 0.8270 + 186/1599 ━━━━━━━━━━━━━━━━━━━━ 5:39 240ms/step - loss: 1.0610 - mean_absolute_error: 0.8246
```  ```
- 187/1599 ━━━━━━━━━━━━━━━━━━━━ 8:59 382ms/step - loss: 1.0704 - mean_absolute_error: 0.8270 + 187/1599 ━━━━━━━━━━━━━━━━━━━━ 5:39 240ms/step - loss: 1.0610 - mean_absolute_error: 0.8246
```  ```
- 188/1599 ━━━━━━━━━━━━━━━━━━━━ 9:00 383ms/step - loss: 1.0703 - mean_absolute_error: 0.8270 + 188/1599 ━━━━━━━━━━━━━━━━━━━━ 5:39 240ms/step - loss: 1.0609 - mean_absolute_error: 0.8246
```  ```
- 189/1599 ━━━━━━━━━━━━━━━━━━━━ 8:59 383ms/step - loss: 1.0702 - mean_absolute_error: 0.8269 + 189/1599 ━━━━━━━━━━━━━━━━━━━━ 5:38 240ms/step - loss: 1.0609 - mean_absolute_error: 0.8246
```  ```
- 190/1599 ━━━━━━━━━━━━━━━━━━━━ 8:59 383ms/step - loss: 1.0701 - mean_absolute_error: 0.8269 + 190/1599 ━━━━━━━━━━━━━━━━━━━━ 5:38 240ms/step - loss: 1.0608 - mean_absolute_error: 0.8246
```  ```
- 191/1599 ━━━━━━━━━━━━━━━━━━━━ 8:59 383ms/step - loss: 1.0700 - mean_absolute_error: 0.8269 + 191/1599 ━━━━━━━━━━━━━━━━━━━━ 5:38 240ms/step - loss: 1.0608 - mean_absolute_error: 0.8245
```  ```
- 192/1599 ━━━━━━━━━━━━━━━━━━━━ 8:58 383ms/step - loss: 1.0699 - mean_absolute_error: 0.8269 + 192/1599 ━━━━━━━━━━━━━━━━━━━━ 5:37 240ms/step - loss: 1.0608 - mean_absolute_error: 0.8245
```  ```
- 193/1599 ━━━━━━━━━━━━━━━━━━━━ 8:57 383ms/step - loss: 1.0698 - mean_absolute_error: 0.8268 + 193/1599 ━━━━━━━━━━━━━━━━━━━━ 5:37 240ms/step - loss: 1.0607 - mean_absolute_error: 0.8245
```  ```
- 194/1599 ━━━━━━━━━━━━━━━━━━━━ 8:57 382ms/step - loss: 1.0698 - mean_absolute_error: 0.8268 + 194/1599 ━━━━━━━━━━━━━━━━━━━━ 5:36 240ms/step - loss: 1.0607 - mean_absolute_error: 0.8245
```  ```
- 195/1599 ━━━━━━━━━━━━━━━━━━━━ 8:57 382ms/step - loss: 1.0697 - mean_absolute_error: 0.8268 + 195/1599 ━━━━━━━━━━━━━━━━━━━━ 5:36 240ms/step - loss: 1.0606 - mean_absolute_error: 0.8245
```  ```
- 196/1599 ━━━━━━━━━━━━━━━━━━━━ 8:56 382ms/step - loss: 1.0696 - mean_absolute_error: 0.8267 + 196/1599 ━━━━━━━━━━━━━━━━━━━━ 5:35 239ms/step - loss: 1.0606 - mean_absolute_error: 0.8245
```  ```
- 197/1599 ━━━━━━━━━━━━━━━━━━━━ 8:56 382ms/step - loss: 1.0695 - mean_absolute_error: 0.8267 + 197/1599 ━━━━━━━━━━━━━━━━━━━━ 5:35 239ms/step - loss: 1.0605 - mean_absolute_error: 0.8245
```  ```
- 198/1599 ━━━━━━━━━━━━━━━━━━━━ 8:55 382ms/step - loss: 1.0694 - mean_absolute_error: 0.8267 + 198/1599 ━━━━━━━━━━━━━━━━━━━━ 5:35 239ms/step - loss: 1.0605 - mean_absolute_error: 0.8244
```  ```
- 199/1599 ━━━━━━━━━━━━━━━━━━━━ 8:55 383ms/step - loss: 1.0693 - mean_absolute_error: 0.8267 + 199/1599 ━━━━━━━━━━━━━━━━━━━━ 5:34 239ms/step - loss: 1.0605 - mean_absolute_error: 0.8244
```  ```
- 200/1599 ━━━━━━━━━━━━━━━━━━━━ 8:55 383ms/step - loss: 1.0692 - mean_absolute_error: 0.8266 + 200/1599 ━━━━━━━━━━━━━━━━━━━━ 5:34 239ms/step - loss: 1.0604 - mean_absolute_error: 0.8244
```  ```
- 201/1599 ━━━━━━━━━━━━━━━━━━━━ 8:54 383ms/step - loss: 1.0692 - mean_absolute_error: 0.8266 + 201/1599 ━━━━━━━━━━━━━━━━━━━━ 5:34 239ms/step - loss: 1.0604 - mean_absolute_error: 0.8244
```  ```
- 202/1599 ━━━━━━━━━━━━━━━━━━━━ 8:54 383ms/step - loss: 1.0691 - mean_absolute_error: 0.8266 + 202/1599 ━━━━━━━━━━━━━━━━━━━━ 5:33 239ms/step - loss: 1.0603 - mean_absolute_error: 0.8244
```  ```
- 203/1599 ━━━━━━━━━━━━━━━━━━━━ 8:54 383ms/step - loss: 1.0690 - mean_absolute_error: 0.8266 + 203/1599 ━━━━━━━━━━━━━━━━━━━━ 5:33 239ms/step - loss: 1.0603 - mean_absolute_error: 0.8244
```  ```
- 204/1599 ━━━━━━━━━━━━━━━━━━━━ 8:53 383ms/step - loss: 1.0689 - mean_absolute_error: 0.8265 + 204/1599 ━━━━━━━━━━━━━━━━━━━━ 5:33 239ms/step - loss: 1.0602 - mean_absolute_error: 0.8243
```  ```
- 205/1599 ━━━━━━━━━━━━━━━━━━━━ 8:53 383ms/step - loss: 1.0689 - mean_absolute_error: 0.8265 + 205/1599 ━━━━━━━━━━━━━━━━━━━━ 5:33 239ms/step - loss: 1.0602 - mean_absolute_error: 0.8243
```  ```
- 206/1599 ━━━━━━━━━━━━━━━━━━━━ 8:53 383ms/step - loss: 1.0688 - mean_absolute_error: 0.8265 + 206/1599 ━━━━━━━━━━━━━━━━━━━━ 5:33 239ms/step - loss: 1.0601 - mean_absolute_error: 0.8243
```  ```
- 207/1599 ━━━━━━━━━━━━━━━━━━━━ 8:53 383ms/step - loss: 1.0687 - mean_absolute_error: 0.8265 + 207/1599 ━━━━━━━━━━━━━━━━━━━━ 5:32 239ms/step - loss: 1.0601 - mean_absolute_error: 0.8243
```  ```
- 208/1599 ━━━━━━━━━━━━━━━━━━━━ 8:52 383ms/step - loss: 1.0686 - mean_absolute_error: 0.8264 + 208/1599 ━━━━━━━━━━━━━━━━━━━━ 5:32 239ms/step - loss: 1.0600 - mean_absolute_error: 0.8243
```  ```
- 209/1599 ━━━━━━━━━━━━━━━━━━━━ 8:52 383ms/step - loss: 1.0686 - mean_absolute_error: 0.8264 + 209/1599 ━━━━━━━━━━━━━━━━━━━━ 5:32 239ms/step - loss: 1.0600 - mean_absolute_error: 0.8243
```  ```
- 210/1599 ━━━━━━━━━━━━━━━━━━━━ 8:52 383ms/step - loss: 1.0685 - mean_absolute_error: 0.8264 + 210/1599 ━━━━━━━━━━━━━━━━━━━━ 5:32 239ms/step - loss: 1.0599 - mean_absolute_error: 0.8242
```  ```
- 211/1599 ━━━━━━━━━━━━━━━━━━━━ 8:52 383ms/step - loss: 1.0684 - mean_absolute_error: 0.8264 + 211/1599 ━━━━━━━━━━━━━━━━━━━━ 5:32 239ms/step - loss: 1.0599 - mean_absolute_error: 0.8242
```  ```
- 212/1599 ━━━━━━━━━━━━━━━━━━━━ 8:51 383ms/step - loss: 1.0683 - mean_absolute_error: 0.8263 + 212/1599 ━━━━━━━━━━━━━━━━━━━━ 5:32 239ms/step - loss: 1.0598 - mean_absolute_error: 0.8242
```  ```
- 213/1599 ━━━━━━━━━━━━━━━━━━━━ 8:51 383ms/step - loss: 1.0683 - mean_absolute_error: 0.8263 + 213/1599 ━━━━━━━━━━━━━━━━━━━━ 5:32 240ms/step - loss: 1.0598 - mean_absolute_error: 0.8242
```  ```
- 214/1599 ━━━━━━━━━━━━━━━━━━━━ 8:51 383ms/step - loss: 1.0682 - mean_absolute_error: 0.8263 + 214/1599 ━━━━━━━━━━━━━━━━━━━━ 5:32 240ms/step - loss: 1.0597 - mean_absolute_error: 0.8242
```  ```
- 215/1599 ━━━━━━━━━━━━━━━━━━━━ 8:50 383ms/step - loss: 1.0681 - mean_absolute_error: 0.8263 + 215/1599 ━━━━━━━━━━━━━━━━━━━━ 5:32 240ms/step - loss: 1.0597 - mean_absolute_error: 0.8241
```  ```
- 216/1599 ━━━━━━━━━━━━━━━━━━━━ 8:50 384ms/step - loss: 1.0680 - mean_absolute_error: 0.8262 + 216/1599 ━━━━━━━━━━━━━━━━━━━━ 5:32 241ms/step - loss: 1.0596 - mean_absolute_error: 0.8241
```  ```
- 217/1599 ━━━━━━━━━━━━━━━━━━━━ 8:50 384ms/step - loss: 1.0680 - mean_absolute_error: 0.8262 + 217/1599 ━━━━━━━━━━━━━━━━━━━━ 5:32 241ms/step - loss: 1.0596 - mean_absolute_error: 0.8241
```  ```
- 218/1599 ━━━━━━━━━━━━━━━━━━━━ 8:50 384ms/step - loss: 1.0679 - mean_absolute_error: 0.8262 + 218/1599 ━━━━━━━━━━━━━━━━━━━━ 5:32 241ms/step - loss: 1.0595 - mean_absolute_error: 0.8241
```  ```
- 219/1599 ━━━━━━━━━━━━━━━━━━━━ 8:49 384ms/step - loss: 1.0678 - mean_absolute_error: 0.8262 + 219/1599 ━━━━━━━━━━━━━━━━━━━━ 5:32 241ms/step - loss: 1.0595 - mean_absolute_error: 0.8241
```  ```
- 220/1599 ━━━━━━━━━━━━━━━━━━━━ 8:49 384ms/step - loss: 1.0677 - mean_absolute_error: 0.8261 + 220/1599 ━━━━━━━━━━━━━━━━━━━━ 5:32 241ms/step - loss: 1.0594 - mean_absolute_error: 0.8241
```  ```
- 221/1599 ━━━━━━━━━━━━━━━━━━━━ 8:48 384ms/step - loss: 1.0677 - mean_absolute_error: 0.8261 + 221/1599 ━━━━━━━━━━━━━━━━━━━━ 5:33 242ms/step - loss: 1.0594 - mean_absolute_error: 0.8240
```  ```
- 222/1599 ━━━━━━━━━━━━━━━━━━━━ 8:48 384ms/step - loss: 1.0676 - mean_absolute_error: 0.8261 + 222/1599 ━━━━━━━━━━━━━━━━━━━━ 5:33 242ms/step - loss: 1.0593 - mean_absolute_error: 0.8240
```  ```
- 223/1599 ━━━━━━━━━━━━━━━━━━━━ 8:48 384ms/step - loss: 1.0675 - mean_absolute_error: 0.8261 + 223/1599 ━━━━━━━━━━━━━━━━━━━━ 5:32 242ms/step - loss: 1.0593 - mean_absolute_error: 0.8240
```  ```
- 224/1599 ━━━━━━━━━━━━━━━━━━━━ 8:47 384ms/step - loss: 1.0674 - mean_absolute_error: 0.8260 + 224/1599 ━━━━━━━━━━━━━━━━━━━━ 5:32 242ms/step - loss: 1.0592 - mean_absolute_error: 0.8240
```  ```
- 225/1599 ━━━━━━━━━━━━━━━━━━━━ 8:47 384ms/step - loss: 1.0674 - mean_absolute_error: 0.8260 + 225/1599 ━━━━━━━━━━━━━━━━━━━━ 5:32 242ms/step - loss: 1.0592 - mean_absolute_error: 0.8240
```  ```
- 226/1599 ━━━━━━━━━━━━━━━━━━━━ 8:47 384ms/step - loss: 1.0673 - mean_absolute_error: 0.8260 + 226/1599 ━━━━━━━━━━━━━━━━━━━━ 5:32 242ms/step - loss: 1.0591 - mean_absolute_error: 0.8240
```  ```
- 227/1599 ━━━━━━━━━━━━━━━━━━━━ 8:46 384ms/step - loss: 1.0672 - mean_absolute_error: 0.8259 + 227/1599 ━━━━━━━━━━━━━━━━━━━━ 5:31 242ms/step - loss: 1.0590 - mean_absolute_error: 0.8239
```  ```
- 228/1599 ━━━━━━━━━━━━━━━━━━━━ 8:46 384ms/step - loss: 1.0672 - mean_absolute_error: 0.8259 + 228/1599 ━━━━━━━━━━━━━━━━━━━━ 5:31 242ms/step - loss: 1.0590 - mean_absolute_error: 0.8239
```  ```
- 229/1599 ━━━━━━━━━━━━━━━━━━━━ 8:45 384ms/step - loss: 1.0671 - mean_absolute_error: 0.8259 + 229/1599 ━━━━━━━━━━━━━━━━━━━━ 5:31 242ms/step - loss: 1.0589 - mean_absolute_error: 0.8239
```  ```
- 230/1599 ━━━━━━━━━━━━━━━━━━━━ 8:45 384ms/step - loss: 1.0670 - mean_absolute_error: 0.8259 + 230/1599 ━━━━━━━━━━━━━━━━━━━━ 5:30 242ms/step - loss: 1.0589 - mean_absolute_error: 0.8239
```  ```
- 231/1599 ━━━━━━━━━━━━━━━━━━━━ 8:45 384ms/step - loss: 1.0670 - mean_absolute_error: 0.8259 + 231/1599 ━━━━━━━━━━━━━━━━━━━━ 5:30 242ms/step - loss: 1.0589 - mean_absolute_error: 0.8239
```  ```
- 232/1599 ━━━━━━━━━━━━━━━━━━━━ 8:44 384ms/step - loss: 1.0669 - mean_absolute_error: 0.8258 + 232/1599 ━━━━━━━━━━━━━━━━━━━━ 5:30 241ms/step - loss: 1.0588 - mean_absolute_error: 0.8238
```  ```
- 233/1599 ━━━━━━━━━━━━━━━━━━━━ 8:44 384ms/step - loss: 1.0669 - mean_absolute_error: 0.8258 + 233/1599 ━━━━━━━━━━━━━━━━━━━━ 5:29 241ms/step - loss: 1.0588 - mean_absolute_error: 0.8238
```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
- 253/1599 ━━━━━━━━━━━━━━━━━━━━ 8:38 385ms/step - loss: 1.0655 - mean_absolute_error: 0.8253 + 253/1599 ━━━━━━━━━━━━━━━━━━━━ 5:24 241ms/step - loss: 1.0578 - mean_absolute_error: 0.8235
```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
- 289/1599 ━━━━━━━━━━━━━━━━━━━━ 8:25 386ms/step - loss: 1.0626 - mean_absolute_error: 0.8242 + 289/1599 ━━━━━━━━━━━━━━━━━━━━ 5:16 241ms/step - loss: 1.0554 - mean_absolute_error: 0.8225
```  ```
- 290/1599 ━━━━━━━━━━━━━━━━━━━━ 8:24 386ms/step - loss: 1.0625 - mean_absolute_error: 0.8242 + 290/1599 ━━━━━━━━━━━━━━━━━━━━ 5:16 241ms/step - loss: 1.0553 - mean_absolute_error: 0.8225
```  ```
- 291/1599 ━━━━━━━━━━━━━━━━━━━━ 8:24 386ms/step - loss: 1.0624 - mean_absolute_error: 0.8242 + 291/1599 ━━━━━━━━━━━━━━━━━━━━ 5:15 241ms/step - loss: 1.0552 - mean_absolute_error: 0.8225
```  ```
- 292/1599 ━━━━━━━━━━━━━━━━━━━━ 8:23 386ms/step - loss: 1.0623 - mean_absolute_error: 0.8241 + 292/1599 ━━━━━━━━━━━━━━━━━━━━ 5:15 241ms/step - loss: 1.0552 - mean_absolute_error: 0.8224
```  ```
- 293/1599 ━━━━━━━━━━━━━━━━━━━━ 8:23 386ms/step - loss: 1.0622 - mean_absolute_error: 0.8241 + 293/1599 ━━━━━━━━━━━━━━━━━━━━ 5:15 241ms/step - loss: 1.0551 - mean_absolute_error: 0.8224
```  ```
- 294/1599 ━━━━━━━━━━━━━━━━━━━━ 8:23 386ms/step - loss: 1.0621 - mean_absolute_error: 0.8241 + 294/1599 ━━━━━━━━━━━━━━━━━━━━ 5:14 241ms/step - loss: 1.0550 - mean_absolute_error: 0.8224
```  ```
- 295/1599 ━━━━━━━━━━━━━━━━━━━━ 8:22 386ms/step - loss: 1.0620 - mean_absolute_error: 0.8240 + 295/1599 ━━━━━━━━━━━━━━━━━━━━ 5:14 241ms/step - loss: 1.0550 - mean_absolute_error: 0.8224
```  ```
- 296/1599 ━━━━━━━━━━━━━━━━━━━━ 8:22 386ms/step - loss: 1.0619 - mean_absolute_error: 0.8240 + 296/1599 ━━━━━━━━━━━━━━━━━━━━ 5:13 241ms/step - loss: 1.0549 - mean_absolute_error: 0.8223
```  ```
- 297/1599 ━━━━━━━━━━━━━━━━━━━━ 8:22 386ms/step - loss: 1.0619 - mean_absolute_error: 0.8240 + 297/1599 ━━━━━━━━━━━━━━━━━━━━ 5:13 241ms/step - loss: 1.0548 - mean_absolute_error: 0.8223
```  ```
- 298/1599 ━━━━━━━━━━━━━━━━━━━━ 8:21 386ms/step - loss: 1.0618 - mean_absolute_error: 0.8239 + 298/1599 ━━━━━━━━━━━━━━━━━━━━ 5:13 241ms/step - loss: 1.0548 - mean_absolute_error: 0.8223
```  ```
- 299/1599 ━━━━━━━━━━━━━━━━━━━━ 8:21 386ms/step - loss: 1.0617 - mean_absolute_error: 0.8239 + 299/1599 ━━━━━━━━━━━━━━━━━━━━ 5:12 241ms/step - loss: 1.0547 - mean_absolute_error: 0.8222
```  ```
- 300/1599 ━━━━━━━━━━━━━━━━━━━━ 8:21 386ms/step - loss: 1.0616 - mean_absolute_error: 0.8239 + 300/1599 ━━━━━━━━━━━━━━━━━━━━ 5:12 241ms/step - loss: 1.0546 - mean_absolute_error: 0.8222
```  ```
- 301/1599 ━━━━━━━━━━━━━━━━━━━━ 8:21 387ms/step - loss: 1.0615 - mean_absolute_error: 0.8238 + 301/1599 ━━━━━━━━━━━━━━━━━━━━ 5:12 240ms/step - loss: 1.0545 - mean_absolute_error: 0.8222
```  ```
- 302/1599 ━━━━━━━━━━━━━━━━━━━━ 8:22 387ms/step - loss: 1.0615 - mean_absolute_error: 0.8238 + 302/1599 ━━━━━━━━━━━━━━━━━━━━ 5:11 240ms/step - loss: 1.0545 - mean_absolute_error: 0.8222
```  ```
- 303/1599 ━━━━━━━━━━━━━━━━━━━━ 8:22 387ms/step - loss: 1.0614 - mean_absolute_error: 0.8238 + 303/1599 ━━━━━━━━━━━━━━━━━━━━ 5:11 240ms/step - loss: 1.0544 - mean_absolute_error: 0.8221
```  ```
- 304/1599 ━━━━━━━━━━━━━━━━━━━━ 8:21 388ms/step - loss: 1.0613 - mean_absolute_error: 0.8237 + 304/1599 ━━━━━━━━━━━━━━━━━━━━ 5:11 240ms/step - loss: 1.0543 - mean_absolute_error: 0.8221
```  ```
- 305/1599 ━━━━━━━━━━━━━━━━━━━━ 8:21 388ms/step - loss: 1.0612 - mean_absolute_error: 0.8237 + 305/1599 ━━━━━━━━━━━━━━━━━━━━ 5:10 240ms/step - loss: 1.0543 - mean_absolute_error: 0.8221
```  ```
- 306/1599 ━━━━━━━━━━━━━━━━━━━━ 8:21 388ms/step - loss: 1.0611 - mean_absolute_error: 0.8237 + 306/1599 ━━━━━━━━━━━━━━━━━━━━ 5:10 240ms/step - loss: 1.0542 - mean_absolute_error: 0.8220
```  ```
- 307/1599 ━━━━━━━━━━━━━━━━━━━━ 8:20 388ms/step - loss: 1.0610 - mean_absolute_error: 0.8236 + 307/1599 ━━━━━━━━━━━━━━━━━━━━ 5:10 240ms/step - loss: 1.0541 - mean_absolute_error: 0.8220
```  ```
- 308/1599 ━━━━━━━━━━━━━━━━━━━━ 8:20 388ms/step - loss: 1.0610 - mean_absolute_error: 0.8236 + 308/1599 ━━━━━━━━━━━━━━━━━━━━ 5:09 240ms/step - loss: 1.0541 - mean_absolute_error: 0.8220
```  ```
- 309/1599 ━━━━━━━━━━━━━━━━━━━━ 8:19 387ms/step - loss: 1.0609 - mean_absolute_error: 0.8236 + 309/1599 ━━━━━━━━━━━━━━━━━━━━ 5:09 240ms/step - loss: 1.0540 - mean_absolute_error: 0.8220
```  ```
- 310/1599 ━━━━━━━━━━━━━━━━━━━━ 8:19 387ms/step - loss: 1.0608 - mean_absolute_error: 0.8235 + 310/1599 ━━━━━━━━━━━━━━━━━━━━ 5:09 240ms/step - loss: 1.0539 - mean_absolute_error: 0.8219
```  ```
- 311/1599 ━━━━━━━━━━━━━━━━━━━━ 8:18 387ms/step - loss: 1.0607 - mean_absolute_error: 0.8235 + 311/1599 ━━━━━━━━━━━━━━━━━━━━ 5:09 240ms/step - loss: 1.0539 - mean_absolute_error: 0.8219
```  ```
- 312/1599 ━━━━━━━━━━━━━━━━━━━━ 8:18 387ms/step - loss: 1.0606 - mean_absolute_error: 0.8235 + 312/1599 ━━━━━━━━━━━━━━━━━━━━ 5:08 240ms/step - loss: 1.0538 - mean_absolute_error: 0.8219
```  ```
- 313/1599 ━━━━━━━━━━━━━━━━━━━━ 8:18 387ms/step - loss: 1.0606 - mean_absolute_error: 0.8235 + 313/1599 ━━━━━━━━━━━━━━━━━━━━ 5:08 240ms/step - loss: 1.0537 - mean_absolute_error: 0.8219
```  ```
- 314/1599 ━━━━━━━━━━━━━━━━━━━━ 8:17 387ms/step - loss: 1.0605 - mean_absolute_error: 0.8234 + 314/1599 ━━━━━━━━━━━━━━━━━━━━ 5:08 240ms/step - loss: 1.0536 - mean_absolute_error: 0.8218
```  ```
- 315/1599 ━━━━━━━━━━━━━━━━━━━━ 8:17 387ms/step - loss: 1.0604 - mean_absolute_error: 0.8234 + 315/1599 ━━━━━━━━━━━━━━━━━━━━ 5:08 240ms/step - loss: 1.0536 - mean_absolute_error: 0.8218
```  ```
- 316/1599 ━━━━━━━━━━━━━━━━━━━━ 8:16 387ms/step - loss: 1.0603 - mean_absolute_error: 0.8234 + 316/1599 ━━━━━━━━━━━━━━━━━━━━ 5:08 240ms/step - loss: 1.0535 - mean_absolute_error: 0.8218
```  ```
- 317/1599 ━━━━━━━━━━━━━━━━━━━━ 8:16 387ms/step - loss: 1.0602 - mean_absolute_error: 0.8233 + 317/1599 ━━━━━━━━━━━━━━━━━━━━ 5:08 240ms/step - loss: 1.0534 - mean_absolute_error: 0.8217
```  ```
- 318/1599 ━━━━━━━━━━━━━━━━━━━━ 8:16 387ms/step - loss: 1.0602 - mean_absolute_error: 0.8233 + 318/1599 ━━━━━━━━━━━━━━━━━━━━ 5:08 241ms/step - loss: 1.0534 - mean_absolute_error: 0.8217
```  ```
- 319/1599 ━━━━━━━━━━━━━━━━━━━━ 8:16 388ms/step - loss: 1.0601 - mean_absolute_error: 0.8233 + 319/1599 ━━━━━━━━━━━━━━━━━━━━ 5:07 241ms/step - loss: 1.0533 - mean_absolute_error: 0.8217
```  ```
- 320/1599 ━━━━━━━━━━━━━━━━━━━━ 8:16 388ms/step - loss: 1.0600 - mean_absolute_error: 0.8232 + 320/1599 ━━━━━━━━━━━━━━━━━━━━ 5:07 241ms/step - loss: 1.0532 - mean_absolute_error: 0.8217
```  ```
- 321/1599 ━━━━━━━━━━━━━━━━━━━━ 8:16 388ms/step - loss: 1.0599 - mean_absolute_error: 0.8232 + 321/1599 ━━━━━━━━━━━━━━━━━━━━ 5:07 241ms/step - loss: 1.0532 - mean_absolute_error: 0.8216
```  ```
- 322/1599 ━━━━━━━━━━━━━━━━━━━━ 8:16 389ms/step - loss: 1.0599 - mean_absolute_error: 0.8232 + 322/1599 ━━━━━━━━━━━━━━━━━━━━ 5:07 241ms/step - loss: 1.0531 - mean_absolute_error: 0.8216
```  ```
- 323/1599 ━━━━━━━━━━━━━━━━━━━━ 8:15 389ms/step - loss: 1.0598 - mean_absolute_error: 0.8231 + 323/1599 ━━━━━━━━━━━━━━━━━━━━ 5:07 241ms/step - loss: 1.0531 - mean_absolute_error: 0.8216
```  ```
- 324/1599 ━━━━━━━━━━━━━━━━━━━━ 8:15 389ms/step - loss: 1.0597 - mean_absolute_error: 0.8231 + 324/1599 ━━━━━━━━━━━━━━━━━━━━ 5:08 242ms/step - loss: 1.0530 - mean_absolute_error: 0.8216
```  ```
- 325/1599 ━━━━━━━━━━━━━━━━━━━━ 8:15 389ms/step - loss: 1.0596 - mean_absolute_error: 0.8231 + 325/1599 ━━━━━━━━━━━━━━━━━━━━ 5:08 242ms/step - loss: 1.0529 - mean_absolute_error: 0.8215
```  ```
- 326/1599 ━━━━━━━━━━━━━━━━━━━━ 8:14 389ms/step - loss: 1.0595 - mean_absolute_error: 0.8231 + 326/1599 ━━━━━━━━━━━━━━━━━━━━ 5:08 242ms/step - loss: 1.0529 - mean_absolute_error: 0.8215
```  ```
- 327/1599 ━━━━━━━━━━━━━━━━━━━━ 8:14 389ms/step - loss: 1.0595 - mean_absolute_error: 0.8230 + 327/1599 ━━━━━━━━━━━━━━━━━━━━ 5:07 242ms/step - loss: 1.0528 - mean_absolute_error: 0.8215
```  ```
- 328/1599 ━━━━━━━━━━━━━━━━━━━━ 8:14 389ms/step - loss: 1.0594 - mean_absolute_error: 0.8230 + 328/1599 ━━━━━━━━━━━━━━━━━━━━ 5:07 242ms/step - loss: 1.0527 - mean_absolute_error: 0.8214
```  ```
- 329/1599 ━━━━━━━━━━━━━━━━━━━━ 8:13 389ms/step - loss: 1.0593 - mean_absolute_error: 0.8230 + 329/1599 ━━━━━━━━━━━━━━━━━━━━ 5:07 242ms/step - loss: 1.0527 - mean_absolute_error: 0.8214
```  ```
- 330/1599 ━━━━━━━━━━━━━━━━━━━━ 8:13 389ms/step - loss: 1.0593 - mean_absolute_error: 0.8229 + 330/1599 ━━━━━━━━━━━━━━━━━━━━ 5:06 242ms/step - loss: 1.0526 - mean_absolute_error: 0.8214
```  ```
- 331/1599 ━━━━━━━━━━━━━━━━━━━━ 8:12 389ms/step - loss: 1.0592 - mean_absolute_error: 0.8229 + 331/1599 ━━━━━━━━━━━━━━━━━━━━ 5:06 242ms/step - loss: 1.0525 - mean_absolute_error: 0.8214
```  ```
- 332/1599 ━━━━━━━━━━━━━━━━━━━━ 8:12 389ms/step - loss: 1.0591 - mean_absolute_error: 0.8229 + 332/1599 ━━━━━━━━━━━━━━━━━━━━ 5:05 241ms/step - loss: 1.0525 - mean_absolute_error: 0.8213
```  ```
- 333/1599 ━━━━━━━━━━━━━━━━━━━━ 8:11 388ms/step - loss: 1.0590 - mean_absolute_error: 0.8229 + 333/1599 ━━━━━━━━━━━━━━━━━━━━ 5:05 241ms/step - loss: 1.0524 - mean_absolute_error: 0.8213
```  ```
- 334/1599 ━━━━━━━━━━━━━━━━━━━━ 8:11 388ms/step - loss: 1.0590 - mean_absolute_error: 0.8228 + 334/1599 ━━━━━━━━━━━━━━━━━━━━ 5:05 241ms/step - loss: 1.0523 - mean_absolute_error: 0.8213
```  ```
- 335/1599 ━━━━━━━━━━━━━━━━━━━━ 8:10 388ms/step - loss: 1.0589 - mean_absolute_error: 0.8228 + 335/1599 ━━━━━━━━━━━━━━━━━━━━ 5:05 241ms/step - loss: 1.0523 - mean_absolute_error: 0.8213
```  ```
- 336/1599 ━━━━━━━━━━━━━━━━━━━━ 8:10 388ms/step - loss: 1.0588 - mean_absolute_error: 0.8228 + 336/1599 ━━━━━━━━━━━━━━━━━━━━ 5:04 241ms/step - loss: 1.0522 - mean_absolute_error: 0.8212
```  ```
- 337/1599 ━━━━━━━━━━━━━━━━━━━━ 8:10 388ms/step - loss: 1.0588 - mean_absolute_error: 0.8227 + 337/1599 ━━━━━━━━━━━━━━━━━━━━ 5:04 241ms/step - loss: 1.0522 - mean_absolute_error: 0.8212
```  ```
- 338/1599 ━━━━━━━━━━━━━━━━━━━━ 8:09 388ms/step - loss: 1.0587 - mean_absolute_error: 0.8227 + 338/1599 ━━━━━━━━━━━━━━━━━━━━ 5:04 241ms/step - loss: 1.0521 - mean_absolute_error: 0.8212
```  ```
- 339/1599 ━━━━━━━━━━━━━━━━━━━━ 8:09 388ms/step - loss: 1.0586 - mean_absolute_error: 0.8227 + 339/1599 ━━━━━━━━━━━━━━━━━━━━ 5:03 241ms/step - loss: 1.0520 - mean_absolute_error: 0.8212
```  ```
- 340/1599 ━━━━━━━━━━━━━━━━━━━━ 8:08 388ms/step - loss: 1.0585 - mean_absolute_error: 0.8227 + 340/1599 ━━━━━━━━━━━━━━━━━━━━ 5:03 241ms/step - loss: 1.0520 - mean_absolute_error: 0.8211
```  ```
- 341/1599 ━━━━━━━━━━━━━━━━━━━━ 8:08 388ms/step - loss: 1.0585 - mean_absolute_error: 0.8226 + 341/1599 ━━━━━━━━━━━━━━━━━━━━ 5:03 241ms/step - loss: 1.0519 - mean_absolute_error: 0.8211
```  ```
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```  ```
- 343/1599 ━━━━━━━━━━━━━━━━━━━━ 8:08 389ms/step - loss: 1.0583 - mean_absolute_error: 0.8226 + 343/1599 ━━━━━━━━━━━━━━━━━━━━ 5:02 241ms/step - loss: 1.0518 - mean_absolute_error: 0.8211
```  ```
- 344/1599 ━━━━━━━━━━━━━━━━━━━━ 8:08 389ms/step - loss: 1.0583 - mean_absolute_error: 0.8225 + 344/1599 ━━━━━━━━━━━━━━━━━━━━ 5:02 241ms/step - loss: 1.0517 - mean_absolute_error: 0.8210
```  ```
- 345/1599 ━━━━━━━━━━━━━━━━━━━━ 8:08 389ms/step - loss: 1.0582 - mean_absolute_error: 0.8225 + 345/1599 ━━━━━━━━━━━━━━━━━━━━ 5:02 241ms/step - loss: 1.0517 - mean_absolute_error: 0.8210
```  ```
- 346/1599 ━━━━━━━━━━━━━━━━━━━━ 8:07 389ms/step - loss: 1.0581 - mean_absolute_error: 0.8225 + 346/1599 ━━━━━━━━━━━━━━━━━━━━ 5:01 241ms/step - loss: 1.0516 - mean_absolute_error: 0.8210
```  ```
- 347/1599 ━━━━━━━━━━━━━━━━━━━━ 8:07 389ms/step - loss: 1.0580 - mean_absolute_error: 0.8225 + 347/1599 ━━━━━━━━━━━━━━━━━━━━ 5:01 241ms/step - loss: 1.0515 - mean_absolute_error: 0.8210
```  ```
- 348/1599 ━━━━━━━━━━━━━━━━━━━━ 8:07 389ms/step - loss: 1.0580 - mean_absolute_error: 0.8224 + 348/1599 ━━━━━━━━━━━━━━━━━━━━ 5:01 241ms/step - loss: 1.0515 - mean_absolute_error: 0.8209
```  ```
- 349/1599 ━━━━━━━━━━━━━━━━━━━━ 8:06 389ms/step - loss: 1.0579 - mean_absolute_error: 0.8224 + 349/1599 ━━━━━━━━━━━━━━━━━━━━ 5:01 241ms/step - loss: 1.0514 - mean_absolute_error: 0.8209
```  ```
- 350/1599 ━━━━━━━━━━━━━━━━━━━━ 8:06 389ms/step - loss: 1.0578 - mean_absolute_error: 0.8224 + 350/1599 ━━━━━━━━━━━━━━━━━━━━ 5:01 241ms/step - loss: 1.0514 - mean_absolute_error: 0.8209
```  ```
- 351/1599 ━━━━━━━━━━━━━━━━━━━━ 8:05 389ms/step - loss: 1.0578 - mean_absolute_error: 0.8224 + 351/1599 ━━━━━━━━━━━━━━━━━━━━ 5:01 241ms/step - loss: 1.0513 - mean_absolute_error: 0.8209
```  ```
- 352/1599 ━━━━━━━━━━━━━━━━━━━━ 8:05 389ms/step - loss: 1.0577 - mean_absolute_error: 0.8223 + 352/1599 ━━━━━━━━━━━━━━━━━━━━ 5:00 241ms/step - loss: 1.0513 - mean_absolute_error: 0.8208
```  ```
- 353/1599 ━━━━━━━━━━━━━━━━━━━━ 8:04 389ms/step - loss: 1.0577 - mean_absolute_error: 0.8223 + 353/1599 ━━━━━━━━━━━━━━━━━━━━ 5:00 241ms/step - loss: 1.0512 - mean_absolute_error: 0.8208
```  ```
- 354/1599 ━━━━━━━━━━━━━━━━━━━━ 8:04 389ms/step - loss: 1.0576 - mean_absolute_error: 0.8223 + 354/1599 ━━━━━━━━━━━━━━━━━━━━ 5:00 241ms/step - loss: 1.0511 - mean_absolute_error: 0.8208
```  ```
- 355/1599 ━━━━━━━━━━━━━━━━━━━━ 8:04 389ms/step - loss: 1.0575 - mean_absolute_error: 0.8223 + 355/1599 ━━━━━━━━━━━━━━━━━━━━ 4:59 241ms/step - loss: 1.0511 - mean_absolute_error: 0.8208
```  ```
- 356/1599 ━━━━━━━━━━━━━━━━━━━━ 8:03 389ms/step - loss: 1.0575 - mean_absolute_error: 0.8222 + 356/1599 ━━━━━━━━━━━━━━━━━━━━ 4:59 241ms/step - loss: 1.0510 - mean_absolute_error: 0.8208
```  ```
- 357/1599 ━━━━━━━━━━━━━━━━━━━━ 8:03 389ms/step - loss: 1.0574 - mean_absolute_error: 0.8222 + 357/1599 ━━━━━━━━━━━━━━━━━━━━ 4:59 241ms/step - loss: 1.0510 - mean_absolute_error: 0.8207
```  ```
- 358/1599 ━━━━━━━━━━━━━━━━━━━━ 8:02 389ms/step - loss: 1.0573 - mean_absolute_error: 0.8222 + 358/1599 ━━━━━━━━━━━━━━━━━━━━ 4:58 241ms/step - loss: 1.0509 - mean_absolute_error: 0.8207
```  ```
- 359/1599 ━━━━━━━━━━━━━━━━━━━━ 8:02 389ms/step - loss: 1.0573 - mean_absolute_error: 0.8222 + 359/1599 ━━━━━━━━━━━━━━━━━━━━ 4:58 241ms/step - loss: 1.0509 - mean_absolute_error: 0.8207
```  ```
- 360/1599 ━━━━━━━━━━━━━━━━━━━━ 8:01 389ms/step - loss: 1.0572 - mean_absolute_error: 0.8221 + 360/1599 ━━━━━━━━━━━━━━━━━━━━ 4:58 241ms/step - loss: 1.0508 - mean_absolute_error: 0.8207
```  ```
- 361/1599 ━━━━━━━━━━━━━━━━━━━━ 8:01 389ms/step - loss: 1.0571 - mean_absolute_error: 0.8221 + 361/1599 ━━━━━━━━━━━━━━━━━━━━ 4:57 241ms/step - loss: 1.0508 - mean_absolute_error: 0.8206
```  ```
- 362/1599 ━━━━━━━━━━━━━━━━━━━━ 8:00 389ms/step - loss: 1.0571 - mean_absolute_error: 0.8221 + 362/1599 ━━━━━━━━━━━━━━━━━━━━ 4:57 241ms/step - loss: 1.0507 - mean_absolute_error: 0.8206
```  ```
- 363/1599 ━━━━━━━━━━━━━━━━━━━━ 8:00 389ms/step - loss: 1.0570 - mean_absolute_error: 0.8220 + 363/1599 ━━━━━━━━━━━━━━━━━━━━ 4:57 240ms/step - loss: 1.0506 - mean_absolute_error: 0.8206
```  ```
- 364/1599 ━━━━━━━━━━━━━━━━━━━━ 7:59 388ms/step - loss: 1.0569 - mean_absolute_error: 0.8220 + 364/1599 ━━━━━━━━━━━━━━━━━━━━ 4:56 240ms/step - loss: 1.0506 - mean_absolute_error: 0.8206
```  ```
- 365/1599 ━━━━━━━━━━━━━━━━━━━━ 7:59 388ms/step - loss: 1.0569 - mean_absolute_error: 0.8220 + 365/1599 ━━━━━━━━━━━━━━━━━━━━ 4:56 240ms/step - loss: 1.0505 - mean_absolute_error: 0.8206
```  ```
- 366/1599 ━━━━━━━━━━━━━━━━━━━━ 7:58 388ms/step - loss: 1.0568 - mean_absolute_error: 0.8220 + 366/1599 ━━━━━━━━━━━━━━━━━━━━ 4:56 240ms/step - loss: 1.0505 - mean_absolute_error: 0.8205
```  ```
- 367/1599 ━━━━━━━━━━━━━━━━━━━━ 7:58 388ms/step - loss: 1.0567 - mean_absolute_error: 0.8219 + 367/1599 ━━━━━━━━━━━━━━━━━━━━ 4:56 240ms/step - loss: 1.0504 - mean_absolute_error: 0.8205
```  ```
- 368/1599 ━━━━━━━━━━━━━━━━━━━━ 7:57 388ms/step - loss: 1.0567 - mean_absolute_error: 0.8219 + 368/1599 ━━━━━━━━━━━━━━━━━━━━ 4:55 240ms/step - loss: 1.0504 - mean_absolute_error: 0.8205
```  ```
- 369/1599 ━━━━━━━━━━━━━━━━━━━━ 7:57 388ms/step - loss: 1.0566 - mean_absolute_error: 0.8219 + 369/1599 ━━━━━━━━━━━━━━━━━━━━ 4:55 240ms/step - loss: 1.0503 - mean_absolute_error: 0.8205
```  ```
- 370/1599 ━━━━━━━━━━━━━━━━━━━━ 7:56 388ms/step - loss: 1.0565 - mean_absolute_error: 0.8219 + 370/1599 ━━━━━━━━━━━━━━━━━━━━ 4:55 240ms/step - loss: 1.0503 - mean_absolute_error: 0.8204
```  ```
- 371/1599 ━━━━━━━━━━━━━━━━━━━━ 7:56 388ms/step - loss: 1.0565 - mean_absolute_error: 0.8218 + 371/1599 ━━━━━━━━━━━━━━━━━━━━ 4:54 240ms/step - loss: 1.0502 - mean_absolute_error: 0.8204
```  ```
- 372/1599 ━━━━━━━━━━━━━━━━━━━━ 7:55 388ms/step - loss: 1.0564 - mean_absolute_error: 0.8218 + 372/1599 ━━━━━━━━━━━━━━━━━━━━ 4:54 240ms/step - loss: 1.0502 - mean_absolute_error: 0.8204
```  ```
- 373/1599 ━━━━━━━━━━━━━━━━━━━━ 7:55 388ms/step - loss: 1.0563 - mean_absolute_error: 0.8218 + 373/1599 ━━━━━━━━━━━━━━━━━━━━ 4:54 240ms/step - loss: 1.0501 - mean_absolute_error: 0.8204
```  ```
- 374/1599 ━━━━━━━━━━━━━━━━━━━━ 7:55 388ms/step - loss: 1.0563 - mean_absolute_error: 0.8218 + 374/1599 ━━━━━━━━━━━━━━━━━━━━ 4:54 240ms/step - loss: 1.0501 - mean_absolute_error: 0.8204
```  ```
- 375/1599 ━━━━━━━━━━━━━━━━━━━━ 7:54 388ms/step - loss: 1.0562 - mean_absolute_error: 0.8217 + 375/1599 ━━━━━━━━━━━━━━━━━━━━ 4:53 240ms/step - loss: 1.0500 - mean_absolute_error: 0.8203
```  ```
- 376/1599 ━━━━━━━━━━━━━━━━━━━━ 7:54 388ms/step - loss: 1.0562 - mean_absolute_error: 0.8217 + 376/1599 ━━━━━━━━━━━━━━━━━━━━ 4:53 240ms/step - loss: 1.0500 - mean_absolute_error: 0.8203
```  ```
- 377/1599 ━━━━━━━━━━━━━━━━━━━━ 7:54 388ms/step - loss: 1.0561 - mean_absolute_error: 0.8217 + 377/1599 ━━━━━━━━━━━━━━━━━━━━ 4:53 240ms/step - loss: 1.0499 - mean_absolute_error: 0.8203
```  ```
- 378/1599 ━━━━━━━━━━━━━━━━━━━━ 7:54 389ms/step - loss: 1.0560 - mean_absolute_error: 0.8217 + 378/1599 ━━━━━━━━━━━━━━━━━━━━ 4:53 240ms/step - loss: 1.0499 - mean_absolute_error: 0.8203
```  ```
- 379/1599 ━━━━━━━━━━━━━━━━━━━━ 7:54 389ms/step - loss: 1.0560 - mean_absolute_error: 0.8217 + 379/1599 ━━━━━━━━━━━━━━━━━━━━ 4:53 240ms/step - loss: 1.0498 - mean_absolute_error: 0.8203
```  ```
- 380/1599 ━━━━━━━━━━━━━━━━━━━━ 7:53 389ms/step - loss: 1.0559 - mean_absolute_error: 0.8216 + 380/1599 ━━━━━━━━━━━━━━━━━━━━ 4:53 241ms/step - loss: 1.0498 - mean_absolute_error: 0.8203
```  ```
- 381/1599 ━━━━━━━━━━━━━━━━━━━━ 7:53 389ms/step - loss: 1.0559 - mean_absolute_error: 0.8216 + 381/1599 ━━━━━━━━━━━━━━━━━━━━ 4:53 241ms/step - loss: 1.0497 - mean_absolute_error: 0.8202
```  ```
- 382/1599 ━━━━━━━━━━━━━━━━━━━━ 7:53 389ms/step - loss: 1.0558 - mean_absolute_error: 0.8216 + 382/1599 ━━━━━━━━━━━━━━━━━━━━ 4:52 241ms/step - loss: 1.0497 - mean_absolute_error: 0.8202
```  ```
- 383/1599 ━━━━━━━━━━━━━━━━━━━━ 7:53 389ms/step - loss: 1.0557 - mean_absolute_error: 0.8216 + 383/1599 ━━━━━━━━━━━━━━━━━━━━ 4:52 241ms/step - loss: 1.0497 - mean_absolute_error: 0.8202
```  ```
- 384/1599 ━━━━━━━━━━━━━━━━━━━━ 7:52 389ms/step - loss: 1.0557 - mean_absolute_error: 0.8215 + 384/1599 ━━━━━━━━━━━━━━━━━━━━ 4:52 241ms/step - loss: 1.0496 - mean_absolute_error: 0.8202
```  ```
- 385/1599 ━━━━━━━━━━━━━━━━━━━━ 7:52 389ms/step - loss: 1.0556 - mean_absolute_error: 0.8215 + 385/1599 ━━━━━━━━━━━━━━━━━━━━ 4:52 241ms/step - loss: 1.0496 - mean_absolute_error: 0.8202
```  ```
- 386/1599 ━━━━━━━━━━━━━━━━━━━━ 7:51 389ms/step - loss: 1.0555 - mean_absolute_error: 0.8215 + 386/1599 ━━━━━━━━━━━━━━━━━━━━ 4:51 241ms/step - loss: 1.0495 - mean_absolute_error: 0.8201
```  ```
- 387/1599 ━━━━━━━━━━━━━━━━━━━━ 7:51 389ms/step - loss: 1.0555 - mean_absolute_error: 0.8215 + 387/1599 ━━━━━━━━━━━━━━━━━━━━ 4:51 241ms/step - loss: 1.0495 - mean_absolute_error: 0.8201
```  ```
- 388/1599 ━━━━━━━━━━━━━━━━━━━━ 7:50 389ms/step - loss: 1.0554 - mean_absolute_error: 0.8214 + 388/1599 ━━━━━━━━━━━━━━━━━━━━ 4:51 240ms/step - loss: 1.0494 - mean_absolute_error: 0.8201
```  ```
- 389/1599 ━━━━━━━━━━━━━━━━━━━━ 7:50 389ms/step - loss: 1.0554 - mean_absolute_error: 0.8214 + 389/1599 ━━━━━━━━━━━━━━━━━━━━ 4:50 240ms/step - loss: 1.0494 - mean_absolute_error: 0.8201
```  ```
- 390/1599 ━━━━━━━━━━━━━━━━━━━━ 7:50 389ms/step - loss: 1.0553 - mean_absolute_error: 0.8214 + 390/1599 ━━━━━━━━━━━━━━━━━━━━ 4:50 240ms/step - loss: 1.0493 - mean_absolute_error: 0.8201
```  ```
- 391/1599 ━━━━━━━━━━━━━━━━━━━━ 7:49 389ms/step - loss: 1.0552 - mean_absolute_error: 0.8214 + 391/1599 ━━━━━━━━━━━━━━━━━━━━ 4:50 240ms/step - loss: 1.0493 - mean_absolute_error: 0.8200
```  ```
- 392/1599 ━━━━━━━━━━━━━━━━━━━━ 7:49 389ms/step - loss: 1.0552 - mean_absolute_error: 0.8214 + 392/1599 ━━━━━━━━━━━━━━━━━━━━ 4:49 240ms/step - loss: 1.0492 - mean_absolute_error: 0.8200
```  ```
- 393/1599 ━━━━━━━━━━━━━━━━━━━━ 7:49 389ms/step - loss: 1.0551 - mean_absolute_error: 0.8213 + 393/1599 ━━━━━━━━━━━━━━━━━━━━ 4:49 240ms/step - loss: 1.0492 - mean_absolute_error: 0.8200
```  ```
- 394/1599 ━━━━━━━━━━━━━━━━━━━━ 7:48 389ms/step - loss: 1.0551 - mean_absolute_error: 0.8213 + 394/1599 ━━━━━━━━━━━━━━━━━━━━ 4:49 240ms/step - loss: 1.0491 - mean_absolute_error: 0.8200
```  ```
- 395/1599 ━━━━━━━━━━━━━━━━━━━━ 7:48 389ms/step - loss: 1.0550 - mean_absolute_error: 0.8213 + 395/1599 ━━━━━━━━━━━━━━━━━━━━ 4:48 240ms/step - loss: 1.0491 - mean_absolute_error: 0.8200
```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
- 413/1599 ━━━━━━━━━━━━━━━━━━━━ 7:42 390ms/step - loss: 1.0539 - mean_absolute_error: 0.8209 + 413/1599 ━━━━━━━━━━━━━━━━━━━━ 4:44 240ms/step - loss: 1.0483 - mean_absolute_error: 0.8196
```  ```
- 414/1599 ━━━━━━━━━━━━━━━━━━━━ 7:42 390ms/step - loss: 1.0539 - mean_absolute_error: 0.8208 + 414/1599 ━━━━━━━━━━━━━━━━━━━━ 4:44 240ms/step - loss: 1.0482 - mean_absolute_error: 0.8196
```  ```
- 415/1599 ━━━━━━━━━━━━━━━━━━━━ 7:41 390ms/step - loss: 1.0538 - mean_absolute_error: 0.8208 + 415/1599 ━━━━━━━━━━━━━━━━━━━━ 4:44 240ms/step - loss: 1.0482 - mean_absolute_error: 0.8196
```  ```
- 416/1599 ━━━━━━━━━━━━━━━━━━━━ 7:41 390ms/step - loss: 1.0537 - mean_absolute_error: 0.8208 + 416/1599 ━━━━━━━━━━━━━━━━━━━━ 4:44 240ms/step - loss: 1.0481 - mean_absolute_error: 0.8196
```  ```
- 417/1599 ━━━━━━━━━━━━━━━━━━━━ 7:40 390ms/step - loss: 1.0537 - mean_absolute_error: 0.8208 + 417/1599 ━━━━━━━━━━━━━━━━━━━━ 4:44 240ms/step - loss: 1.0481 - mean_absolute_error: 0.8196
```  ```
- 418/1599 ━━━━━━━━━━━━━━━━━━━━ 7:40 390ms/step - loss: 1.0536 - mean_absolute_error: 0.8208 + 418/1599 ━━━━━━━━━━━━━━━━━━━━ 4:43 240ms/step - loss: 1.0480 - mean_absolute_error: 0.8196
```  ```
- 419/1599 ━━━━━━━━━━━━━━━━━━━━ 7:39 390ms/step - loss: 1.0536 - mean_absolute_error: 0.8207 + 419/1599 ━━━━━━━━━━━━━━━━━━━━ 4:43 241ms/step - loss: 1.0480 - mean_absolute_error: 0.8195
```  ```
- 420/1599 ━━━━━━━━━━━━━━━━━━━━ 7:39 390ms/step - loss: 1.0535 - mean_absolute_error: 0.8207 + 420/1599 ━━━━━━━━━━━━━━━━━━━━ 4:43 241ms/step - loss: 1.0480 - mean_absolute_error: 0.8195
```  ```
- 421/1599 ━━━━━━━━━━━━━━━━━━━━ 7:38 390ms/step - loss: 1.0534 - mean_absolute_error: 0.8207 + 421/1599 ━━━━━━━━━━━━━━━━━━━━ 4:43 241ms/step - loss: 1.0479 - mean_absolute_error: 0.8195
```  ```
- 422/1599 ━━━━━━━━━━━━━━━━━━━━ 7:38 390ms/step - loss: 1.0534 - mean_absolute_error: 0.8207 + 422/1599 ━━━━━━━━━━━━━━━━━━━━ 4:43 241ms/step - loss: 1.0479 - mean_absolute_error: 0.8195
```  ```
- 423/1599 ━━━━━━━━━━━━━━━━━━━━ 7:38 389ms/step - loss: 1.0533 - mean_absolute_error: 0.8206 + 423/1599 ━━━━━━━━━━━━━━━━━━━━ 4:43 241ms/step - loss: 1.0478 - mean_absolute_error: 0.8195
```  ```
- 424/1599 ━━━━━━━━━━━━━━━━━━━━ 7:37 390ms/step - loss: 1.0533 - mean_absolute_error: 0.8206 + 424/1599 ━━━━━━━━━━━━━━━━━━━━ 4:42 241ms/step - loss: 1.0478 - mean_absolute_error: 0.8194
```  ```
- 425/1599 ━━━━━━━━━━━━━━━━━━━━ 7:37 390ms/step - loss: 1.0532 - mean_absolute_error: 0.8206 + 425/1599 ━━━━━━━━━━━━━━━━━━━━ 4:42 241ms/step - loss: 1.0477 - mean_absolute_error: 0.8194
```  ```
- 426/1599 ━━━━━━━━━━━━━━━━━━━━ 7:37 390ms/step - loss: 1.0531 - mean_absolute_error: 0.8206 + 426/1599 ━━━━━━━━━━━━━━━━━━━━ 4:42 241ms/step - loss: 1.0477 - mean_absolute_error: 0.8194
```  ```
- 427/1599 ━━━━━━━━━━━━━━━━━━━━ 7:36 390ms/step - loss: 1.0531 - mean_absolute_error: 0.8205 + 427/1599 ━━━━━━━━━━━━━━━━━━━━ 4:42 241ms/step - loss: 1.0476 - mean_absolute_error: 0.8194
```  ```
- 428/1599 ━━━━━━━━━━━━━━━━━━━━ 7:36 390ms/step - loss: 1.0530 - mean_absolute_error: 0.8205 + 428/1599 ━━━━━━━━━━━━━━━━━━━━ 4:41 241ms/step - loss: 1.0476 - mean_absolute_error: 0.8194
```  ```
- 429/1599 ━━━━━━━━━━━━━━━━━━━━ 7:36 390ms/step - loss: 1.0530 - mean_absolute_error: 0.8205 + 429/1599 ━━━━━━━━━━━━━━━━━━━━ 4:41 241ms/step - loss: 1.0476 - mean_absolute_error: 0.8194
```  ```
- 430/1599 ━━━━━━━━━━━━━━━━━━━━ 7:36 390ms/step - loss: 1.0529 - mean_absolute_error: 0.8205 + 430/1599 ━━━━━━━━━━━━━━━━━━━━ 4:41 241ms/step - loss: 1.0475 - mean_absolute_error: 0.8193
```  ```
- 431/1599 ━━━━━━━━━━━━━━━━━━━━ 7:35 390ms/step - loss: 1.0528 - mean_absolute_error: 0.8205 + 431/1599 ━━━━━━━━━━━━━━━━━━━━ 4:41 241ms/step - loss: 1.0475 - mean_absolute_error: 0.8193
```  ```
- 432/1599 ━━━━━━━━━━━━━━━━━━━━ 7:35 391ms/step - loss: 1.0528 - mean_absolute_error: 0.8204 + 432/1599 ━━━━━━━━━━━━━━━━━━━━ 4:41 241ms/step - loss: 1.0474 - mean_absolute_error: 0.8193
```  ```
- 433/1599 ━━━━━━━━━━━━━━━━━━━━ 7:35 391ms/step - loss: 1.0527 - mean_absolute_error: 0.8204 + 433/1599 ━━━━━━━━━━━━━━━━━━━━ 4:40 241ms/step - loss: 1.0474 - mean_absolute_error: 0.8193
```  ```
- 434/1599 ━━━━━━━━━━━━━━━━━━━━ 7:35 391ms/step - loss: 1.0527 - mean_absolute_error: 0.8204 + 434/1599 ━━━━━━━━━━━━━━━━━━━━ 4:40 241ms/step - loss: 1.0473 - mean_absolute_error: 0.8193
```  ```
- 435/1599 ━━━━━━━━━━━━━━━━━━━━ 7:34 391ms/step - loss: 1.0526 - mean_absolute_error: 0.8204 + 435/1599 ━━━━━━━━━━━━━━━━━━━━ 4:40 241ms/step - loss: 1.0473 - mean_absolute_error: 0.8192
```  ```
- 436/1599 ━━━━━━━━━━━━━━━━━━━━ 7:34 391ms/step - loss: 1.0525 - mean_absolute_error: 0.8203 + 436/1599 ━━━━━━━━━━━━━━━━━━━━ 4:40 241ms/step - loss: 1.0472 - mean_absolute_error: 0.8192
```  ```
- 437/1599 ━━━━━━━━━━━━━━━━━━━━ 7:34 391ms/step - loss: 1.0525 - mean_absolute_error: 0.8203 + 437/1599 ━━━━━━━━━━━━━━━━━━━━ 4:40 241ms/step - loss: 1.0472 - mean_absolute_error: 0.8192
```  ```
- 438/1599 ━━━━━━━━━━━━━━━━━━━━ 7:33 391ms/step - loss: 1.0524 - mean_absolute_error: 0.8203 + 438/1599 ━━━━━━━━━━━━━━━━━━━━ 4:39 241ms/step - loss: 1.0471 - mean_absolute_error: 0.8192
```  ```
- 439/1599 ━━━━━━━━━━━━━━━━━━━━ 7:33 391ms/step - loss: 1.0524 - mean_absolute_error: 0.8203 + 439/1599 ━━━━━━━━━━━━━━━━━━━━ 4:39 241ms/step - loss: 1.0471 - mean_absolute_error: 0.8192
```  ```
- 440/1599 ━━━━━━━━━━━━━━━━━━━━ 7:33 391ms/step - loss: 1.0523 - mean_absolute_error: 0.8202 + 440/1599 ━━━━━━━━━━━━━━━━━━━━ 4:39 241ms/step - loss: 1.0471 - mean_absolute_error: 0.8191
```  ```
- 441/1599 ━━━━━━━━━━━━━━━━━━━━ 7:33 391ms/step - loss: 1.0522 - mean_absolute_error: 0.8202 + 441/1599 ━━━━━━━━━━━━━━━━━━━━ 4:39 241ms/step - loss: 1.0470 - mean_absolute_error: 0.8191
```  ```
- 442/1599 ━━━━━━━━━━━━━━━━━━━━ 7:32 391ms/step - loss: 1.0522 - mean_absolute_error: 0.8202 + 442/1599 ━━━━━━━━━━━━━━━━━━━━ 4:39 241ms/step - loss: 1.0470 - mean_absolute_error: 0.8191
```  ```
- 443/1599 ━━━━━━━━━━━━━━━━━━━━ 7:32 392ms/step - loss: 1.0521 - mean_absolute_error: 0.8202 + 443/1599 ━━━━━━━━━━━━━━━━━━━━ 4:38 241ms/step - loss: 1.0469 - mean_absolute_error: 0.8191
```  ```
- 444/1599 ━━━━━━━━━━━━━━━━━━━━ 7:32 392ms/step - loss: 1.0521 - mean_absolute_error: 0.8202 + 444/1599 ━━━━━━━━━━━━━━━━━━━━ 4:38 241ms/step - loss: 1.0469 - mean_absolute_error: 0.8191
```  ```
- 445/1599 ━━━━━━━━━━━━━━━━━━━━ 7:32 392ms/step - loss: 1.0520 - mean_absolute_error: 0.8201 + 445/1599 ━━━━━━━━━━━━━━━━━━━━ 4:38 241ms/step - loss: 1.0468 - mean_absolute_error: 0.8191
```  ```
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```  ```
- 447/1599 ━━━━━━━━━━━━━━━━━━━━ 7:31 392ms/step - loss: 1.0519 - mean_absolute_error: 0.8201 + 447/1599 ━━━━━━━━━━━━━━━━━━━━ 4:38 241ms/step - loss: 1.0467 - mean_absolute_error: 0.8190
```  ```
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```  ```
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```  ```
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```  ```
- 451/1599 ━━━━━━━━━━━━━━━━━━━━ 7:30 393ms/step - loss: 1.0517 - mean_absolute_error: 0.8200 + 451/1599 ━━━━━━━━━━━━━━━━━━━━ 4:37 242ms/step - loss: 1.0465 - mean_absolute_error: 0.8189
```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
- 458/1599 ━━━━━━━━━━━━━━━━━━━━ 7:28 393ms/step - loss: 1.0512 - mean_absolute_error: 0.8198 + 458/1599 ━━━━━━━━━━━━━━━━━━━━ 4:36 243ms/step - loss: 1.0462 - mean_absolute_error: 0.8188
```  ```
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```  ```
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```  ```
- 461/1599 ━━━━━━━━━━━━━━━━━━━━ 7:28 394ms/step - loss: 1.0511 - mean_absolute_error: 0.8198 + 461/1599 ━━━━━━━━━━━━━━━━━━━━ 4:35 243ms/step - loss: 1.0461 - mean_absolute_error: 0.8187
```  ```
- 462/1599 ━━━━━━━━━━━━━━━━━━━━ 7:27 394ms/step - loss: 1.0510 - mean_absolute_error: 0.8197 + 462/1599 ━━━━━━━━━━━━━━━━━━━━ 4:35 243ms/step - loss: 1.0460 - mean_absolute_error: 0.8187
```  ```
- 463/1599 ━━━━━━━━━━━━━━━━━━━━ 7:27 394ms/step - loss: 1.0509 - mean_absolute_error: 0.8197 + 463/1599 ━━━━━━━━━━━━━━━━━━━━ 4:35 242ms/step - loss: 1.0460 - mean_absolute_error: 0.8187
```  ```
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```  ```
- 465/1599 ━━━━━━━━━━━━━━━━━━━━ 7:26 394ms/step - loss: 1.0508 - mean_absolute_error: 0.8197 + 465/1599 ━━━━━━━━━━━━━━━━━━━━ 4:34 242ms/step - loss: 1.0459 - mean_absolute_error: 0.8187
```  ```
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```  ```
- 467/1599 ━━━━━━━━━━━━━━━━━━━━ 7:26 394ms/step - loss: 1.0507 - mean_absolute_error: 0.8196 + 467/1599 ━━━━━━━━━━━━━━━━━━━━ 4:34 242ms/step - loss: 1.0458 - mean_absolute_error: 0.8186
```  ```
- 468/1599 ━━━━━━━━━━━━━━━━━━━━ 7:26 395ms/step - loss: 1.0506 - mean_absolute_error: 0.8196 + 468/1599 ━━━━━━━━━━━━━━━━━━━━ 4:33 242ms/step - loss: 1.0457 - mean_absolute_error: 0.8186
```  ```
- 469/1599 ━━━━━━━━━━━━━━━━━━━━ 7:25 395ms/step - loss: 1.0506 - mean_absolute_error: 0.8196 + 469/1599 ━━━━━━━━━━━━━━━━━━━━ 4:33 242ms/step - loss: 1.0457 - mean_absolute_error: 0.8186
```  ```
- 470/1599 ━━━━━━━━━━━━━━━━━━━━ 7:25 395ms/step - loss: 1.0505 - mean_absolute_error: 0.8195 + 470/1599 ━━━━━━━━━━━━━━━━━━━━ 4:33 242ms/step - loss: 1.0456 - mean_absolute_error: 0.8186
```  ```
- 471/1599 ━━━━━━━━━━━━━━━━━━━━ 7:25 395ms/step - loss: 1.0505 - mean_absolute_error: 0.8195 + 471/1599 ━━━━━━━━━━━━━━━━━━━━ 4:33 242ms/step - loss: 1.0456 - mean_absolute_error: 0.8185
```  ```
- 472/1599 ━━━━━━━━━━━━━━━━━━━━ 7:25 395ms/step - loss: 1.0504 - mean_absolute_error: 0.8195 + 472/1599 ━━━━━━━━━━━━━━━━━━━━ 4:32 242ms/step - loss: 1.0455 - mean_absolute_error: 0.8185
```  ```
- 473/1599 ━━━━━━━━━━━━━━━━━━━━ 7:24 395ms/step - loss: 1.0504 - mean_absolute_error: 0.8195 + 473/1599 ━━━━━━━━━━━━━━━━━━━━ 4:32 242ms/step - loss: 1.0455 - mean_absolute_error: 0.8185
```  ```
- 474/1599 ━━━━━━━━━━━━━━━━━━━━ 7:24 395ms/step - loss: 1.0503 - mean_absolute_error: 0.8194 + 474/1599 ━━━━━━━━━━━━━━━━━━━━ 4:32 242ms/step - loss: 1.0454 - mean_absolute_error: 0.8185
```  ```
- 475/1599 ━━━━━━━━━━━━━━━━━━━━ 7:24 395ms/step - loss: 1.0502 - mean_absolute_error: 0.8194 + 475/1599 ━━━━━━━━━━━━━━━━━━━━ 4:32 242ms/step - loss: 1.0454 - mean_absolute_error: 0.8185
```  ```
- 476/1599 ━━━━━━━━━━━━━━━━━━━━ 7:23 395ms/step - loss: 1.0502 - mean_absolute_error: 0.8194 + 476/1599 ━━━━━━━━━━━━━━━━━━━━ 4:31 242ms/step - loss: 1.0453 - mean_absolute_error: 0.8184
```  ```
- 477/1599 ━━━━━━━━━━━━━━━━━━━━ 7:23 395ms/step - loss: 1.0501 - mean_absolute_error: 0.8194 + 477/1599 ━━━━━━━━━━━━━━━━━━━━ 4:31 242ms/step - loss: 1.0453 - mean_absolute_error: 0.8184
```  ```
- 478/1599 ━━━━━━━━━━━━━━━━━━━━ 7:23 395ms/step - loss: 1.0501 - mean_absolute_error: 0.8194 + 478/1599 ━━━━━━━━━━━━━━━━━━━━ 4:31 242ms/step - loss: 1.0452 - mean_absolute_error: 0.8184
```  ```
- 479/1599 ━━━━━━━━━━━━━━━━━━━━ 7:22 395ms/step - loss: 1.0500 - mean_absolute_error: 0.8193 + 479/1599 ━━━━━━━━━━━━━━━━━━━━ 4:31 242ms/step - loss: 1.0452 - mean_absolute_error: 0.8184
```  ```
- 480/1599 ━━━━━━━━━━━━━━━━━━━━ 7:22 396ms/step - loss: 1.0500 - mean_absolute_error: 0.8193 + 480/1599 ━━━━━━━━━━━━━━━━━━━━ 4:30 242ms/step - loss: 1.0451 - mean_absolute_error: 0.8184
```  ```
- 481/1599 ━━━━━━━━━━━━━━━━━━━━ 7:22 396ms/step - loss: 1.0499 - mean_absolute_error: 0.8193 + 481/1599 ━━━━━━━━━━━━━━━━━━━━ 4:30 242ms/step - loss: 1.0451 - mean_absolute_error: 0.8183
```  ```
- 482/1599 ━━━━━━━━━━━━━━━━━━━━ 7:21 396ms/step - loss: 1.0498 - mean_absolute_error: 0.8193 + 482/1599 ━━━━━━━━━━━━━━━━━━━━ 4:30 242ms/step - loss: 1.0450 - mean_absolute_error: 0.8183
```  ```
- 483/1599 ━━━━━━━━━━━━━━━━━━━━ 7:21 396ms/step - loss: 1.0498 - mean_absolute_error: 0.8192 + 483/1599 ━━━━━━━━━━━━━━━━━━━━ 4:30 242ms/step - loss: 1.0450 - mean_absolute_error: 0.8183
```  ```
- 484/1599 ━━━━━━━━━━━━━━━━━━━━ 7:21 396ms/step - loss: 1.0497 - mean_absolute_error: 0.8192 + 484/1599 ━━━━━━━━━━━━━━━━━━━━ 4:29 242ms/step - loss: 1.0449 - mean_absolute_error: 0.8183
```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
- 492/1599 ━━━━━━━━━━━━━━━━━━━━ 7:18 396ms/step - loss: 1.0493 - mean_absolute_error: 0.8190 + 492/1599 ━━━━━━━━━━━━━━━━━━━━ 4:28 242ms/step - loss: 1.0446 - mean_absolute_error: 0.8181
```  ```
- 493/1599 ━━━━━━━━━━━━━━━━━━━━ 7:18 396ms/step - loss: 1.0492 - mean_absolute_error: 0.8190 + 493/1599 ━━━━━━━━━━━━━━━━━━━━ 4:28 243ms/step - loss: 1.0445 - mean_absolute_error: 0.8181
```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
- 505/1599 ━━━━━━━━━━━━━━━━━━━━ 7:14 397ms/step - loss: 1.0486 - mean_absolute_error: 0.8188 + 505/1599 ━━━━━━━━━━━━━━━━━━━━ 4:26 243ms/step - loss: 1.0440 - mean_absolute_error: 0.8179
```  ```
- 506/1599 ━━━━━━━━━━━━━━━━━━━━ 7:14 397ms/step - loss: 1.0485 - mean_absolute_error: 0.8187 + 506/1599 ━━━━━━━━━━━━━━━━━━━━ 4:26 244ms/step - loss: 1.0440 - mean_absolute_error: 0.8179
```  ```
- 507/1599 ━━━━━━━━━━━━━━━━━━━━ 7:13 397ms/step - loss: 1.0485 - mean_absolute_error: 0.8187 + 507/1599 ━━━━━━━━━━━━━━━━━━━━ 4:26 244ms/step - loss: 1.0439 - mean_absolute_error: 0.8178
```  ```
- 508/1599 ━━━━━━━━━━━━━━━━━━━━ 7:13 397ms/step - loss: 1.0484 - mean_absolute_error: 0.8187 + 508/1599 ━━━━━━━━━━━━━━━━━━━━ 4:25 244ms/step - loss: 1.0439 - mean_absolute_error: 0.8178
```  ```
- 509/1599 ━━━━━━━━━━━━━━━━━━━━ 7:12 397ms/step - loss: 1.0483 - mean_absolute_error: 0.8187 + 509/1599 ━━━━━━━━━━━━━━━━━━━━ 4:25 244ms/step - loss: 1.0438 - mean_absolute_error: 0.8178
```  ```
- 510/1599 ━━━━━━━━━━━━━━━━━━━━ 7:12 397ms/step - loss: 1.0483 - mean_absolute_error: 0.8186 + 510/1599 ━━━━━━━━━━━━━━━━━━━━ 4:25 244ms/step - loss: 1.0438 - mean_absolute_error: 0.8178
```  ```
- 511/1599 ━━━━━━━━━━━━━━━━━━━━ 7:12 397ms/step - loss: 1.0482 - mean_absolute_error: 0.8186 + 511/1599 ━━━━━━━━━━━━━━━━━━━━ 4:25 244ms/step - loss: 1.0437 - mean_absolute_error: 0.8178
```  ```
- 512/1599 ━━━━━━━━━━━━━━━━━━━━ 7:11 397ms/step - loss: 1.0482 - mean_absolute_error: 0.8186 + 512/1599 ━━━━━━━━━━━━━━━━━━━━ 4:25 244ms/step - loss: 1.0437 - mean_absolute_error: 0.8178
```  ```
- 513/1599 ━━━━━━━━━━━━━━━━━━━━ 7:11 397ms/step - loss: 1.0481 - mean_absolute_error: 0.8186 + 513/1599 ━━━━━━━━━━━━━━━━━━━━ 4:24 244ms/step - loss: 1.0437 - mean_absolute_error: 0.8177
```  ```
- 514/1599 ━━━━━━━━━━━━━━━━━━━━ 7:10 397ms/step - loss: 1.0481 - mean_absolute_error: 0.8186 + 514/1599 ━━━━━━━━━━━━━━━━━━━━ 4:24 244ms/step - loss: 1.0436 - mean_absolute_error: 0.8177
```  ```
- 515/1599 ━━━━━━━━━━━━━━━━━━━━ 7:10 397ms/step - loss: 1.0480 - mean_absolute_error: 0.8185 + 515/1599 ━━━━━━━━━━━━━━━━━━━━ 4:24 244ms/step - loss: 1.0436 - mean_absolute_error: 0.8177
```  ```
- 516/1599 ━━━━━━━━━━━━━━━━━━━━ 7:10 397ms/step - loss: 1.0480 - mean_absolute_error: 0.8185 + 516/1599 ━━━━━━━━━━━━━━━━━━━━ 4:24 244ms/step - loss: 1.0435 - mean_absolute_error: 0.8177
```  ```
- 517/1599 ━━━━━━━━━━━━━━━━━━━━ 7:09 397ms/step - loss: 1.0479 - mean_absolute_error: 0.8185 + 517/1599 ━━━━━━━━━━━━━━━━━━━━ 4:23 244ms/step - loss: 1.0435 - mean_absolute_error: 0.8177
```  ```
- 518/1599 ━━━━━━━━━━━━━━━━━━━━ 7:09 398ms/step - loss: 1.0479 - mean_absolute_error: 0.8185 + 518/1599 ━━━━━━━━━━━━━━━━━━━━ 4:23 244ms/step - loss: 1.0435 - mean_absolute_error: 0.8177
```  ```
- 519/1599 ━━━━━━━━━━━━━━━━━━━━ 7:09 398ms/step - loss: 1.0478 - mean_absolute_error: 0.8185 + 519/1599 ━━━━━━━━━━━━━━━━━━━━ 4:23 244ms/step - loss: 1.0434 - mean_absolute_error: 0.8176
```  ```
- 520/1599 ━━━━━━━━━━━━━━━━━━━━ 7:09 398ms/step - loss: 1.0478 - mean_absolute_error: 0.8184 + 520/1599 ━━━━━━━━━━━━━━━━━━━━ 4:23 244ms/step - loss: 1.0434 - mean_absolute_error: 0.8176
```  ```
- 521/1599 ━━━━━━━━━━━━━━━━━━━━ 7:09 398ms/step - loss: 1.0477 - mean_absolute_error: 0.8184 + 521/1599 ━━━━━━━━━━━━━━━━━━━━ 4:22 244ms/step - loss: 1.0433 - mean_absolute_error: 0.8176
```  ```
- 522/1599 ━━━━━━━━━━━━━━━━━━━━ 7:08 398ms/step - loss: 1.0477 - mean_absolute_error: 0.8184 + 522/1599 ━━━━━━━━━━━━━━━━━━━━ 4:22 244ms/step - loss: 1.0433 - mean_absolute_error: 0.8176
```  ```
- 523/1599 ━━━━━━━━━━━━━━━━━━━━ 7:08 398ms/step - loss: 1.0476 - mean_absolute_error: 0.8184 + 523/1599 ━━━━━━━━━━━━━━━━━━━━ 4:22 244ms/step - loss: 1.0433 - mean_absolute_error: 0.8176
```  ```
- 524/1599 ━━━━━━━━━━━━━━━━━━━━ 7:08 398ms/step - loss: 1.0476 - mean_absolute_error: 0.8184 + 524/1599 ━━━━━━━━━━━━━━━━━━━━ 4:22 244ms/step - loss: 1.0432 - mean_absolute_error: 0.8176
```  ```
- 525/1599 ━━━━━━━━━━━━━━━━━━━━ 7:07 398ms/step - loss: 1.0475 - mean_absolute_error: 0.8183 + 525/1599 ━━━━━━━━━━━━━━━━━━━━ 4:21 244ms/step - loss: 1.0432 - mean_absolute_error: 0.8175
```  ```
- 526/1599 ━━━━━━━━━━━━━━━━━━━━ 7:07 398ms/step - loss: 1.0475 - mean_absolute_error: 0.8183 + 526/1599 ━━━━━━━━━━━━━━━━━━━━ 4:21 244ms/step - loss: 1.0431 - mean_absolute_error: 0.8175
```  ```
- 527/1599 ━━━━━━━━━━━━━━━━━━━━ 7:07 398ms/step - loss: 1.0474 - mean_absolute_error: 0.8183 + 527/1599 ━━━━━━━━━━━━━━━━━━━━ 4:21 244ms/step - loss: 1.0431 - mean_absolute_error: 0.8175
```  ```
- 528/1599 ━━━━━━━━━━━━━━━━━━━━ 7:06 399ms/step - loss: 1.0474 - mean_absolute_error: 0.8183 + 528/1599 ━━━━━━━━━━━━━━━━━━━━ 4:21 244ms/step - loss: 1.0430 - mean_absolute_error: 0.8175
```  ```
- 529/1599 ━━━━━━━━━━━━━━━━━━━━ 7:06 399ms/step - loss: 1.0473 - mean_absolute_error: 0.8183 + 529/1599 ━━━━━━━━━━━━━━━━━━━━ 4:20 244ms/step - loss: 1.0430 - mean_absolute_error: 0.8175
```  ```
- 530/1599 ━━━━━━━━━━━━━━━━━━━━ 7:06 399ms/step - loss: 1.0473 - mean_absolute_error: 0.8182 + 530/1599 ━━━━━━━━━━━━━━━━━━━━ 4:20 244ms/step - loss: 1.0430 - mean_absolute_error: 0.8175
```  ```
- 531/1599 ━━━━━━━━━━━━━━━━━━━━ 7:05 399ms/step - loss: 1.0472 - mean_absolute_error: 0.8182 + 531/1599 ━━━━━━━━━━━━━━━━━━━━ 4:20 244ms/step - loss: 1.0429 - mean_absolute_error: 0.8174
```  ```
- 532/1599 ━━━━━━━━━━━━━━━━━━━━ 7:05 399ms/step - loss: 1.0472 - mean_absolute_error: 0.8182 + 532/1599 ━━━━━━━━━━━━━━━━━━━━ 4:20 244ms/step - loss: 1.0429 - mean_absolute_error: 0.8174
```  ```
- 533/1599 ━━━━━━━━━━━━━━━━━━━━ 7:05 399ms/step - loss: 1.0471 - mean_absolute_error: 0.8182 + 533/1599 ━━━━━━━━━━━━━━━━━━━━ 4:20 244ms/step - loss: 1.0428 - mean_absolute_error: 0.8174
```  ```
- 534/1599 ━━━━━━━━━━━━━━━━━━━━ 7:04 399ms/step - loss: 1.0471 - mean_absolute_error: 0.8182 + 534/1599 ━━━━━━━━━━━━━━━━━━━━ 4:19 244ms/step - loss: 1.0428 - mean_absolute_error: 0.8174
```  ```
- 535/1599 ━━━━━━━━━━━━━━━━━━━━ 7:04 399ms/step - loss: 1.0470 - mean_absolute_error: 0.8181 + 535/1599 ━━━━━━━━━━━━━━━━━━━━ 4:19 244ms/step - loss: 1.0428 - mean_absolute_error: 0.8174
```  ```
- 536/1599 ━━━━━━━━━━━━━━━━━━━━ 7:04 399ms/step - loss: 1.0470 - mean_absolute_error: 0.8181 + 536/1599 ━━━━━━━━━━━━━━━━━━━━ 4:19 244ms/step - loss: 1.0427 - mean_absolute_error: 0.8174
```  ```
- 537/1599 ━━━━━━━━━━━━━━━━━━━━ 7:03 399ms/step - loss: 1.0470 - mean_absolute_error: 0.8181 + 537/1599 ━━━━━━━━━━━━━━━━━━━━ 4:19 244ms/step - loss: 1.0427 - mean_absolute_error: 0.8173
```  ```
- 538/1599 ━━━━━━━━━━━━━━━━━━━━ 7:03 399ms/step - loss: 1.0469 - mean_absolute_error: 0.8181 + 538/1599 ━━━━━━━━━━━━━━━━━━━━ 4:18 244ms/step - loss: 1.0426 - mean_absolute_error: 0.8173
```  ```
- 539/1599 ━━━━━━━━━━━━━━━━━━━━ 7:03 399ms/step - loss: 1.0469 - mean_absolute_error: 0.8181 + 539/1599 ━━━━━━━━━━━━━━━━━━━━ 4:18 244ms/step - loss: 1.0426 - mean_absolute_error: 0.8173
```  ```
- 540/1599 ━━━━━━━━━━━━━━━━━━━━ 7:02 399ms/step - loss: 1.0468 - mean_absolute_error: 0.8180 + 540/1599 ━━━━━━━━━━━━━━━━━━━━ 4:18 244ms/step - loss: 1.0426 - mean_absolute_error: 0.8173
```  ```
- 541/1599 ━━━━━━━━━━━━━━━━━━━━ 7:02 400ms/step - loss: 1.0468 - mean_absolute_error: 0.8180 + 541/1599 ━━━━━━━━━━━━━━━━━━━━ 4:18 244ms/step - loss: 1.0425 - mean_absolute_error: 0.8173
```  ```
- 542/1599 ━━━━━━━━━━━━━━━━━━━━ 7:02 400ms/step - loss: 1.0467 - mean_absolute_error: 0.8180 + 542/1599 ━━━━━━━━━━━━━━━━━━━━ 4:17 244ms/step - loss: 1.0425 - mean_absolute_error: 0.8173
```  ```
- 543/1599 ━━━━━━━━━━━━━━━━━━━━ 7:02 400ms/step - loss: 1.0467 - mean_absolute_error: 0.8180 + 543/1599 ━━━━━━━━━━━━━━━━━━━━ 4:17 244ms/step - loss: 1.0425 - mean_absolute_error: 0.8172
```  ```
- 544/1599 ━━━━━━━━━━━━━━━━━━━━ 7:01 400ms/step - loss: 1.0466 - mean_absolute_error: 0.8180 + 544/1599 ━━━━━━━━━━━━━━━━━━━━ 4:17 244ms/step - loss: 1.0424 - mean_absolute_error: 0.8172
```  ```
- 545/1599 ━━━━━━━━━━━━━━━━━━━━ 7:01 400ms/step - loss: 1.0466 - mean_absolute_error: 0.8180 + 545/1599 ━━━━━━━━━━━━━━━━━━━━ 4:17 244ms/step - loss: 1.0424 - mean_absolute_error: 0.8172
```  ```
- 546/1599 ━━━━━━━━━━━━━━━━━━━━ 7:01 400ms/step - loss: 1.0465 - mean_absolute_error: 0.8179 + 546/1599 ━━━━━━━━━━━━━━━━━━━━ 4:17 244ms/step - loss: 1.0423 - mean_absolute_error: 0.8172
```  ```
- 547/1599 ━━━━━━━━━━━━━━━━━━━━ 7:00 400ms/step - loss: 1.0465 - mean_absolute_error: 0.8179 + 547/1599 ━━━━━━━━━━━━━━━━━━━━ 4:16 244ms/step - loss: 1.0423 - mean_absolute_error: 0.8172
```  ```
- 548/1599 ━━━━━━━━━━━━━━━━━━━━ 7:00 400ms/step - loss: 1.0465 - mean_absolute_error: 0.8179 + 548/1599 ━━━━━━━━━━━━━━━━━━━━ 4:16 244ms/step - loss: 1.0423 - mean_absolute_error: 0.8172
```  ```
- 549/1599 ━━━━━━━━━━━━━━━━━━━━ 7:00 400ms/step - loss: 1.0464 - mean_absolute_error: 0.8179 + 549/1599 ━━━━━━━━━━━━━━━━━━━━ 4:16 244ms/step - loss: 1.0422 - mean_absolute_error: 0.8171
```  ```
- 550/1599 ━━━━━━━━━━━━━━━━━━━━ 6:59 400ms/step - loss: 1.0464 - mean_absolute_error: 0.8179 + 550/1599 ━━━━━━━━━━━━━━━━━━━━ 4:16 244ms/step - loss: 1.0422 - mean_absolute_error: 0.8171
```  ```
- 551/1599 ━━━━━━━━━━━━━━━━━━━━ 6:59 400ms/step - loss: 1.0463 - mean_absolute_error: 0.8178 + 551/1599 ━━━━━━━━━━━━━━━━━━━━ 4:15 244ms/step - loss: 1.0422 - mean_absolute_error: 0.8171
```  ```
- 552/1599 ━━━━━━━━━━━━━━━━━━━━ 6:59 400ms/step - loss: 1.0463 - mean_absolute_error: 0.8178 + 552/1599 ━━━━━━━━━━━━━━━━━━━━ 4:15 244ms/step - loss: 1.0421 - mean_absolute_error: 0.8171
```  ```
- 553/1599 ━━━━━━━━━━━━━━━━━━━━ 6:58 400ms/step - loss: 1.0462 - mean_absolute_error: 0.8178 + 553/1599 ━━━━━━━━━━━━━━━━━━━━ 4:15 244ms/step - loss: 1.0421 - mean_absolute_error: 0.8171
```  ```
- 554/1599 ━━━━━━━━━━━━━━━━━━━━ 6:58 400ms/step - loss: 1.0462 - mean_absolute_error: 0.8178 + 554/1599 ━━━━━━━━━━━━━━━━━━━━ 4:15 244ms/step - loss: 1.0420 - mean_absolute_error: 0.8171
```  ```
- 555/1599 ━━━━━━━━━━━━━━━━━━━━ 6:57 400ms/step - loss: 1.0461 - mean_absolute_error: 0.8178 + 555/1599 ━━━━━━━━━━━━━━━━━━━━ 4:15 244ms/step - loss: 1.0420 - mean_absolute_error: 0.8171
```  ```
- 556/1599 ━━━━━━━━━━━━━━━━━━━━ 6:57 400ms/step - loss: 1.0461 - mean_absolute_error: 0.8178 + 556/1599 ━━━━━━━━━━━━━━━━━━━━ 4:14 244ms/step - loss: 1.0420 - mean_absolute_error: 0.8170
```  ```
- 557/1599 ━━━━━━━━━━━━━━━━━━━━ 6:57 400ms/step - loss: 1.0461 - mean_absolute_error: 0.8177 + 557/1599 ━━━━━━━━━━━━━━━━━━━━ 4:14 244ms/step - loss: 1.0419 - mean_absolute_error: 0.8170
```  ```
- 558/1599 ━━━━━━━━━━━━━━━━━━━━ 6:56 400ms/step - loss: 1.0460 - mean_absolute_error: 0.8177 + 558/1599 ━━━━━━━━━━━━━━━━━━━━ 4:14 244ms/step - loss: 1.0419 - mean_absolute_error: 0.8170
```  ```
- 559/1599 ━━━━━━━━━━━━━━━━━━━━ 6:56 400ms/step - loss: 1.0460 - mean_absolute_error: 0.8177 + 559/1599 ━━━━━━━━━━━━━━━━━━━━ 4:14 244ms/step - loss: 1.0419 - mean_absolute_error: 0.8170
```  ```
- 560/1599 ━━━━━━━━━━━━━━━━━━━━ 6:55 400ms/step - loss: 1.0459 - mean_absolute_error: 0.8177 + 560/1599 ━━━━━━━━━━━━━━━━━━━━ 4:14 245ms/step - loss: 1.0418 - mean_absolute_error: 0.8170
```  ```
- 561/1599 ━━━━━━━━━━━━━━━━━━━━ 6:55 400ms/step - loss: 1.0459 - mean_absolute_error: 0.8177 + 561/1599 ━━━━━━━━━━━━━━━━━━━━ 4:13 245ms/step - loss: 1.0418 - mean_absolute_error: 0.8170
```  ```
- 562/1599 ━━━━━━━━━━━━━━━━━━━━ 6:55 400ms/step - loss: 1.0458 - mean_absolute_error: 0.8177 + 562/1599 ━━━━━━━━━━━━━━━━━━━━ 4:13 245ms/step - loss: 1.0417 - mean_absolute_error: 0.8169
```  ```
- 563/1599 ━━━━━━━━━━━━━━━━━━━━ 6:54 400ms/step - loss: 1.0458 - mean_absolute_error: 0.8176 + 563/1599 ━━━━━━━━━━━━━━━━━━━━ 4:13 245ms/step - loss: 1.0417 - mean_absolute_error: 0.8169
```  ```
- 564/1599 ━━━━━━━━━━━━━━━━━━━━ 6:54 400ms/step - loss: 1.0458 - mean_absolute_error: 0.8176 + 564/1599 ━━━━━━━━━━━━━━━━━━━━ 4:13 245ms/step - loss: 1.0417 - mean_absolute_error: 0.8169
```  ```
- 565/1599 ━━━━━━━━━━━━━━━━━━━━ 6:54 401ms/step - loss: 1.0457 - mean_absolute_error: 0.8176 + 565/1599 ━━━━━━━━━━━━━━━━━━━━ 4:13 245ms/step - loss: 1.0416 - mean_absolute_error: 0.8169
```  ```
- 566/1599 ━━━━━━━━━━━━━━━━━━━━ 6:54 401ms/step - loss: 1.0457 - mean_absolute_error: 0.8176 + 566/1599 ━━━━━━━━━━━━━━━━━━━━ 4:13 245ms/step - loss: 1.0416 - mean_absolute_error: 0.8169
```  ```
- 567/1599 ━━━━━━━━━━━━━━━━━━━━ 6:53 401ms/step - loss: 1.0456 - mean_absolute_error: 0.8176 + 567/1599 ━━━━━━━━━━━━━━━━━━━━ 4:13 245ms/step - loss: 1.0416 - mean_absolute_error: 0.8169
```  ```
- 568/1599 ━━━━━━━━━━━━━━━━━━━━ 6:53 401ms/step - loss: 1.0456 - mean_absolute_error: 0.8175 + 568/1599 ━━━━━━━━━━━━━━━━━━━━ 4:13 245ms/step - loss: 1.0415 - mean_absolute_error: 0.8169
```  ```
- 569/1599 ━━━━━━━━━━━━━━━━━━━━ 6:53 401ms/step - loss: 1.0455 - mean_absolute_error: 0.8175 + 569/1599 ━━━━━━━━━━━━━━━━━━━━ 4:12 245ms/step - loss: 1.0415 - mean_absolute_error: 0.8168
```  ```
- 570/1599 ━━━━━━━━━━━━━━━━━━━━ 6:52 401ms/step - loss: 1.0455 - mean_absolute_error: 0.8175 + 570/1599 ━━━━━━━━━━━━━━━━━━━━ 4:12 246ms/step - loss: 1.0415 - mean_absolute_error: 0.8168
```  ```
- 571/1599 ━━━━━━━━━━━━━━━━━━━━ 6:52 401ms/step - loss: 1.0455 - mean_absolute_error: 0.8175 + 571/1599 ━━━━━━━━━━━━━━━━━━━━ 4:12 246ms/step - loss: 1.0414 - mean_absolute_error: 0.8168
```  ```
- 572/1599 ━━━━━━━━━━━━━━━━━━━━ 6:51 401ms/step - loss: 1.0454 - mean_absolute_error: 0.8175 + 572/1599 ━━━━━━━━━━━━━━━━━━━━ 4:12 246ms/step - loss: 1.0414 - mean_absolute_error: 0.8168
```  ```
- 573/1599 ━━━━━━━━━━━━━━━━━━━━ 6:51 401ms/step - loss: 1.0454 - mean_absolute_error: 0.8175 + 573/1599 ━━━━━━━━━━━━━━━━━━━━ 4:11 246ms/step - loss: 1.0414 - mean_absolute_error: 0.8168
```  ```
- 574/1599 ━━━━━━━━━━━━━━━━━━━━ 6:51 401ms/step - loss: 1.0453 - mean_absolute_error: 0.8174 + 574/1599 ━━━━━━━━━━━━━━━━━━━━ 4:11 246ms/step - loss: 1.0413 - mean_absolute_error: 0.8168
```  ```
- 575/1599 ━━━━━━━━━━━━━━━━━━━━ 6:50 401ms/step - loss: 1.0453 - mean_absolute_error: 0.8174 + 575/1599 ━━━━━━━━━━━━━━━━━━━━ 4:11 246ms/step - loss: 1.0413 - mean_absolute_error: 0.8168
```  ```
- 576/1599 ━━━━━━━━━━━━━━━━━━━━ 6:50 401ms/step - loss: 1.0452 - mean_absolute_error: 0.8174 + 576/1599 ━━━━━━━━━━━━━━━━━━━━ 4:11 246ms/step - loss: 1.0413 - mean_absolute_error: 0.8167
```  ```
- 577/1599 ━━━━━━━━━━━━━━━━━━━━ 6:50 401ms/step - loss: 1.0452 - mean_absolute_error: 0.8174 + 577/1599 ━━━━━━━━━━━━━━━━━━━━ 4:11 246ms/step - loss: 1.0412 - mean_absolute_error: 0.8167
```  ```
- 578/1599 ━━━━━━━━━━━━━━━━━━━━ 6:49 401ms/step - loss: 1.0451 - mean_absolute_error: 0.8174 + 578/1599 ━━━━━━━━━━━━━━━━━━━━ 4:11 246ms/step - loss: 1.0412 - mean_absolute_error: 0.8167
```  ```
- 579/1599 ━━━━━━━━━━━━━━━━━━━━ 6:49 402ms/step - loss: 1.0451 - mean_absolute_error: 0.8173 + 579/1599 ━━━━━━━━━━━━━━━━━━━━ 4:10 246ms/step - loss: 1.0411 - mean_absolute_error: 0.8167
```  ```
- 580/1599 ━━━━━━━━━━━━━━━━━━━━ 6:49 402ms/step - loss: 1.0451 - mean_absolute_error: 0.8173 + 580/1599 ━━━━━━━━━━━━━━━━━━━━ 4:10 246ms/step - loss: 1.0411 - mean_absolute_error: 0.8167
```  ```
- 581/1599 ━━━━━━━━━━━━━━━━━━━━ 6:48 402ms/step - loss: 1.0450 - mean_absolute_error: 0.8173 + 581/1599 ━━━━━━━━━━━━━━━━━━━━ 4:10 246ms/step - loss: 1.0411 - mean_absolute_error: 0.8167
```  ```
- 582/1599 ━━━━━━━━━━━━━━━━━━━━ 6:48 401ms/step - loss: 1.0450 - mean_absolute_error: 0.8173 + 582/1599 ━━━━━━━━━━━━━━━━━━━━ 4:10 246ms/step - loss: 1.0410 - mean_absolute_error: 0.8167
```  ```
- 583/1599 ━━━━━━━━━━━━━━━━━━━━ 6:47 401ms/step - loss: 1.0449 - mean_absolute_error: 0.8173 + 583/1599 ━━━━━━━━━━━━━━━━━━━━ 4:10 246ms/step - loss: 1.0410 - mean_absolute_error: 0.8166
```  ```
- 584/1599 ━━━━━━━━━━━━━━━━━━━━ 6:47 401ms/step - loss: 1.0449 - mean_absolute_error: 0.8173 + 584/1599 ━━━━━━━━━━━━━━━━━━━━ 4:10 246ms/step - loss: 1.0410 - mean_absolute_error: 0.8166
```  ```
- 585/1599 ━━━━━━━━━━━━━━━━━━━━ 6:46 401ms/step - loss: 1.0448 - mean_absolute_error: 0.8172 + 585/1599 ━━━━━━━━━━━━━━━━━━━━ 4:09 247ms/step - loss: 1.0409 - mean_absolute_error: 0.8166
```  ```
- 586/1599 ━━━━━━━━━━━━━━━━━━━━ 6:46 401ms/step - loss: 1.0448 - mean_absolute_error: 0.8172 + 586/1599 ━━━━━━━━━━━━━━━━━━━━ 4:09 247ms/step - loss: 1.0409 - mean_absolute_error: 0.8166
```  ```
- 587/1599 ━━━━━━━━━━━━━━━━━━━━ 6:46 401ms/step - loss: 1.0447 - mean_absolute_error: 0.8172 + 587/1599 ━━━━━━━━━━━━━━━━━━━━ 4:09 247ms/step - loss: 1.0409 - mean_absolute_error: 0.8166
```  ```
- 588/1599 ━━━━━━━━━━━━━━━━━━━━ 6:45 401ms/step - loss: 1.0447 - mean_absolute_error: 0.8172 + 588/1599 ━━━━━━━━━━━━━━━━━━━━ 4:09 247ms/step - loss: 1.0408 - mean_absolute_error: 0.8166
```  ```
- 589/1599 ━━━━━━━━━━━━━━━━━━━━ 6:45 401ms/step - loss: 1.0447 - mean_absolute_error: 0.8172 + 589/1599 ━━━━━━━━━━━━━━━━━━━━ 4:09 247ms/step - loss: 1.0408 - mean_absolute_error: 0.8166
```  ```
- 590/1599 ━━━━━━━━━━━━━━━━━━━━ 6:44 401ms/step - loss: 1.0446 - mean_absolute_error: 0.8171 + 590/1599 ━━━━━━━━━━━━━━━━━━━━ 4:08 247ms/step - loss: 1.0408 - mean_absolute_error: 0.8165
```  ```
- 591/1599 ━━━━━━━━━━━━━━━━━━━━ 6:44 401ms/step - loss: 1.0446 - mean_absolute_error: 0.8171 + 591/1599 ━━━━━━━━━━━━━━━━━━━━ 4:08 247ms/step - loss: 1.0407 - mean_absolute_error: 0.8165
```  ```
- 592/1599 ━━━━━━━━━━━━━━━━━━━━ 6:43 401ms/step - loss: 1.0445 - mean_absolute_error: 0.8171 + 592/1599 ━━━━━━━━━━━━━━━━━━━━ 4:08 247ms/step - loss: 1.0407 - mean_absolute_error: 0.8165
```  ```
- 593/1599 ━━━━━━━━━━━━━━━━━━━━ 6:43 401ms/step - loss: 1.0445 - mean_absolute_error: 0.8171 + 593/1599 ━━━━━━━━━━━━━━━━━━━━ 4:08 247ms/step - loss: 1.0406 - mean_absolute_error: 0.8165
```  ```
- 594/1599 ━━━━━━━━━━━━━━━━━━━━ 6:43 402ms/step - loss: 1.0444 - mean_absolute_error: 0.8171 + 594/1599 ━━━━━━━━━━━━━━━━━━━━ 4:08 247ms/step - loss: 1.0406 - mean_absolute_error: 0.8165
```  ```
- 595/1599 ━━━━━━━━━━━━━━━━━━━━ 6:43 402ms/step - loss: 1.0444 - mean_absolute_error: 0.8171 + 595/1599 ━━━━━━━━━━━━━━━━━━━━ 4:07 247ms/step - loss: 1.0406 - mean_absolute_error: 0.8165
```  ```
- 596/1599 ━━━━━━━━━━━━━━━━━━━━ 6:42 402ms/step - loss: 1.0444 - mean_absolute_error: 0.8170 + 596/1599 ━━━━━━━━━━━━━━━━━━━━ 4:07 247ms/step - loss: 1.0405 - mean_absolute_error: 0.8165
```  ```
- 597/1599 ━━━━━━━━━━━━━━━━━━━━ 6:42 402ms/step - loss: 1.0443 - mean_absolute_error: 0.8170 + 597/1599 ━━━━━━━━━━━━━━━━━━━━ 4:07 247ms/step - loss: 1.0405 - mean_absolute_error: 0.8164
```  ```
- 598/1599 ━━━━━━━━━━━━━━━━━━━━ 6:42 402ms/step - loss: 1.0443 - mean_absolute_error: 0.8170 + 598/1599 ━━━━━━━━━━━━━━━━━━━━ 4:07 247ms/step - loss: 1.0405 - mean_absolute_error: 0.8164
```  ```
- 599/1599 ━━━━━━━━━━━━━━━━━━━━ 6:41 402ms/step - loss: 1.0442 - mean_absolute_error: 0.8170 + 599/1599 ━━━━━━━━━━━━━━━━━━━━ 4:06 247ms/step - loss: 1.0404 - mean_absolute_error: 0.8164
```  ```
- 600/1599 ━━━━━━━━━━━━━━━━━━━━ 6:41 402ms/step - loss: 1.0442 - mean_absolute_error: 0.8170 + 600/1599 ━━━━━━━━━━━━━━━━━━━━ 4:06 247ms/step - loss: 1.0404 - mean_absolute_error: 0.8164
```  ```
- 601/1599 ━━━━━━━━━━━━━━━━━━━━ 6:41 402ms/step - loss: 1.0442 - mean_absolute_error: 0.8170 + 601/1599 ━━━━━━━━━━━━━━━━━━━━ 4:06 247ms/step - loss: 1.0404 - mean_absolute_error: 0.8164
```  ```
- 602/1599 ━━━━━━━━━━━━━━━━━━━━ 6:40 402ms/step - loss: 1.0441 - mean_absolute_error: 0.8169 + 602/1599 ━━━━━━━━━━━━━━━━━━━━ 4:06 247ms/step - loss: 1.0403 - mean_absolute_error: 0.8164
```  ```
- 603/1599 ━━━━━━━━━━━━━━━━━━━━ 6:40 402ms/step - loss: 1.0441 - mean_absolute_error: 0.8169 + 603/1599 ━━━━━━━━━━━━━━━━━━━━ 4:05 247ms/step - loss: 1.0403 - mean_absolute_error: 0.8164
```  ```
- 604/1599 ━━━━━━━━━━━━━━━━━━━━ 6:40 402ms/step - loss: 1.0440 - mean_absolute_error: 0.8169 + 604/1599 ━━━━━━━━━━━━━━━━━━━━ 4:05 247ms/step - loss: 1.0403 - mean_absolute_error: 0.8163
```  ```
- 605/1599 ━━━━━━━━━━━━━━━━━━━━ 6:39 402ms/step - loss: 1.0440 - mean_absolute_error: 0.8169 + 605/1599 ━━━━━━━━━━━━━━━━━━━━ 4:05 247ms/step - loss: 1.0402 - mean_absolute_error: 0.8163
```  ```
- 606/1599 ━━━━━━━━━━━━━━━━━━━━ 6:39 402ms/step - loss: 1.0439 - mean_absolute_error: 0.8169 + 606/1599 ━━━━━━━━━━━━━━━━━━━━ 4:05 247ms/step - loss: 1.0402 - mean_absolute_error: 0.8163
```  ```
- 607/1599 ━━━━━━━━━━━━━━━━━━━━ 6:39 403ms/step - loss: 1.0439 - mean_absolute_error: 0.8169 + 607/1599 ━━━━━━━━━━━━━━━━━━━━ 4:04 247ms/step - loss: 1.0402 - mean_absolute_error: 0.8163
```  ```
- 608/1599 ━━━━━━━━━━━━━━━━━━━━ 6:38 403ms/step - loss: 1.0439 - mean_absolute_error: 0.8168 + 608/1599 ━━━━━━━━━━━━━━━━━━━━ 4:04 247ms/step - loss: 1.0401 - mean_absolute_error: 0.8163
```  ```
- 609/1599 ━━━━━━━━━━━━━━━━━━━━ 6:38 403ms/step - loss: 1.0438 - mean_absolute_error: 0.8168 + 609/1599 ━━━━━━━━━━━━━━━━━━━━ 4:04 247ms/step - loss: 1.0401 - mean_absolute_error: 0.8163
```  ```
- 610/1599 ━━━━━━━━━━━━━━━━━━━━ 6:38 403ms/step - loss: 1.0438 - mean_absolute_error: 0.8168 + 610/1599 ━━━━━━━━━━━━━━━━━━━━ 4:04 247ms/step - loss: 1.0400 - mean_absolute_error: 0.8163
```  ```
- 611/1599 ━━━━━━━━━━━━━━━━━━━━ 6:38 403ms/step - loss: 1.0437 - mean_absolute_error: 0.8168 + 611/1599 ━━━━━━━━━━━━━━━━━━━━ 4:03 247ms/step - loss: 1.0400 - mean_absolute_error: 0.8162
```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
- 1018/1599 ━━━━━━━━━━━━━━━━━━━━ 4:08 428ms/step - loss: 1.0333 - mean_absolute_error: 0.8123 + 1018/1599 ━━━━━━━━━━━━━━━━━━━━ 2:28 255ms/step - loss: 1.0313 - mean_absolute_error: 0.8125
```  ```
- 1019/1599 ━━━━━━━━━━━━━━━━━━━━ 4:08 428ms/step - loss: 1.0332 - mean_absolute_error: 0.8123 + 1019/1599 ━━━━━━━━━━━━━━━━━━━━ 2:27 255ms/step - loss: 1.0313 - mean_absolute_error: 0.8125
```  ```
- 1020/1599 ━━━━━━━━━━━━━━━━━━━━ 4:07 428ms/step - loss: 1.0332 - mean_absolute_error: 0.8123 + 1020/1599 ━━━━━━━━━━━━━━━━━━━━ 2:27 255ms/step - loss: 1.0312 - mean_absolute_error: 0.8125
```  ```
- 1021/1599 ━━━━━━━━━━━━━━━━━━━━ 4:07 428ms/step - loss: 1.0332 - mean_absolute_error: 0.8123 + 1021/1599 ━━━━━━━━━━━━━━━━━━━━ 2:27 255ms/step - loss: 1.0312 - mean_absolute_error: 0.8124
```  ```
- 1022/1599 ━━━━━━━━━━━━━━━━━━━━ 4:07 428ms/step - loss: 1.0332 - mean_absolute_error: 0.8123 + 1022/1599 ━━━━━━━━━━━━━━━━━━━━ 2:27 255ms/step - loss: 1.0312 - mean_absolute_error: 0.8124
```  ```
- 1023/1599 ━━━━━━━━━━━━━━━━━━━━ 4:06 428ms/step - loss: 1.0332 - mean_absolute_error: 0.8122 + 1023/1599 ━━━━━━━━━━━━━━━━━━━━ 2:27 255ms/step - loss: 1.0312 - mean_absolute_error: 0.8124
```  ```
- 1024/1599 ━━━━━━━━━━━━━━━━━━━━ 4:06 428ms/step - loss: 1.0331 - mean_absolute_error: 0.8122 + 1024/1599 ━━━━━━━━━━━━━━━━━━━━ 2:26 255ms/step - loss: 1.0312 - mean_absolute_error: 0.8124
```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
- 1366/1599 ━━━━━━━━━━━━━━━━━━━━ 1:43 445ms/step - loss: 1.0265 - mean_absolute_error: 0.8093 + 1366/1599 ━━━━━━━━━━━━━━━━━━━━ 1:01 263ms/step - loss: 1.0254 - mean_absolute_error: 0.8097
```  ```
- 1367/1599 ━━━━━━━━━━━━━━━━━━━━ 1:43 445ms/step - loss: 1.0265 - mean_absolute_error: 0.8093 + 1367/1599 ━━━━━━━━━━━━━━━━━━━━ 1:01 263ms/step - loss: 1.0253 - mean_absolute_error: 0.8097
```  ```
- 1368/1599 ━━━━━━━━━━━━━━━━━━━━ 1:42 445ms/step - loss: 1.0264 - mean_absolute_error: 0.8093 + 1368/1599 ━━━━━━━━━━━━━━━━━━━━ 1:00 263ms/step - loss: 1.0253 - mean_absolute_error: 0.8097
```  ```
- 1369/1599 ━━━━━━━━━━━━━━━━━━━━ 1:42 445ms/step - loss: 1.0264 - mean_absolute_error: 0.8093 + 1369/1599 ━━━━━━━━━━━━━━━━━━━━ 1:00 263ms/step - loss: 1.0253 - mean_absolute_error: 0.8097
```  ```
- 1370/1599 ━━━━━━━━━━━━━━━━━━━━ 1:41 445ms/step - loss: 1.0264 - mean_absolute_error: 0.8093 + 1370/1599 ━━━━━━━━━━━━━━━━━━━━ 1:00 263ms/step - loss: 1.0253 - mean_absolute_error: 0.8097
```  ```
- 1371/1599 ━━━━━━━━━━━━━━━━━━━━ 1:41 445ms/step - loss: 1.0264 - mean_absolute_error: 0.8093 + 1371/1599 ━━━━━━━━━━━━━━━━━━━━ 1:00 263ms/step - loss: 1.0253 - mean_absolute_error: 0.8097
```  ```
- 1372/1599 ━━━━━━━━━━━━━━━━━━━━ 1:41 445ms/step - loss: 1.0264 - mean_absolute_error: 0.8093 + 1372/1599 ━━━━━━━━━━━━━━━━━━━━ 59s 263ms/step - loss: 1.0253 - mean_absolute_error: 0.8097
``` - + ```
- 1373/1599 ━━━━━━━━━━━━━━━━━━━━ 1:40 445ms/step - loss: 1.0264 - mean_absolute_error: 0.8093 + 1373/1599 ━━━━━━━━━━━━━━━━━━━━ 59s 263ms/step - loss: 1.0253 - mean_absolute_error: 0.8097
``` - + ```
- 1374/1599 ━━━━━━━━━━━━━━━━━━━━ 1:40 445ms/step - loss: 1.0264 - mean_absolute_error: 0.8093 + 1374/1599 ━━━━━━━━━━━━━━━━━━━━ 59s 263ms/step - loss: 1.0253 - mean_absolute_error: 0.8097
``` - + ```
- 1375/1599 ━━━━━━━━━━━━━━━━━━━━ 1:39 445ms/step - loss: 1.0263 - mean_absolute_error: 0.8093 + 1375/1599 ━━━━━━━━━━━━━━━━━━━━ 58s 263ms/step - loss: 1.0252 - mean_absolute_error: 0.8097
``` - + ```
- 1376/1599 ━━━━━━━━━━━━━━━━━━━━ 1:39 445ms/step - loss: 1.0263 - mean_absolute_error: 0.8093 + 1376/1599 ━━━━━━━━━━━━━━━━━━━━ 58s 263ms/step - loss: 1.0252 - mean_absolute_error: 0.8097
``` - + ```
- 1377/1599 ━━━━━━━━━━━━━━━━━━━━ 1:38 445ms/step - loss: 1.0263 - mean_absolute_error: 0.8093 + 1377/1599 ━━━━━━━━━━━━━━━━━━━━ 58s 263ms/step - loss: 1.0252 - mean_absolute_error: 0.8097
``` - + ```
- 1378/1599 ━━━━━━━━━━━━━━━━━━━━ 1:38 445ms/step - loss: 1.0263 - mean_absolute_error: 0.8093 + 1378/1599 ━━━━━━━━━━━━━━━━━━━━ 58s 263ms/step - loss: 1.0252 - mean_absolute_error: 0.8097
``` - + ```
- 1379/1599 ━━━━━━━━━━━━━━━━━━━━ 1:37 445ms/step - loss: 1.0263 - mean_absolute_error: 0.8093 + 1379/1599 ━━━━━━━━━━━━━━━━━━━━ 57s 263ms/step - loss: 1.0252 - mean_absolute_error: 0.8097
``` - + ```
- 1380/1599 ━━━━━━━━━━━━━━━━━━━━ 1:37 445ms/step - loss: 1.0263 - mean_absolute_error: 0.8092 + 1380/1599 ━━━━━━━━━━━━━━━━━━━━ 57s 263ms/step - loss: 1.0252 - mean_absolute_error: 0.8097
``` - + ```
- 1381/1599 ━━━━━━━━━━━━━━━━━━━━ 1:37 445ms/step - loss: 1.0263 - mean_absolute_error: 0.8092 + 1381/1599 ━━━━━━━━━━━━━━━━━━━━ 57s 263ms/step - loss: 1.0252 - mean_absolute_error: 0.8097
``` - + ```
- 1382/1599 ━━━━━━━━━━━━━━━━━━━━ 1:36 445ms/step - loss: 1.0262 - mean_absolute_error: 0.8092 + 1382/1599 ━━━━━━━━━━━━━━━━━━━━ 57s 263ms/step - loss: 1.0251 - mean_absolute_error: 0.8096
``` - + ```
- 1383/1599 ━━━━━━━━━━━━━━━━━━━━ 1:36 445ms/step - loss: 1.0262 - mean_absolute_error: 0.8092 + 1383/1599 ━━━━━━━━━━━━━━━━━━━━ 56s 263ms/step - loss: 1.0251 - mean_absolute_error: 0.8096
``` - + ```
- 1384/1599 ━━━━━━━━━━━━━━━━━━━━ 1:35 445ms/step - loss: 1.0262 - mean_absolute_error: 0.8092 + 1384/1599 ━━━━━━━━━━━━━━━━━━━━ 56s 263ms/step - loss: 1.0251 - mean_absolute_error: 0.8096
``` - + ```
- 1385/1599 ━━━━━━━━━━━━━━━━━━━━ 1:35 445ms/step - loss: 1.0262 - mean_absolute_error: 0.8092 + 1385/1599 ━━━━━━━━━━━━━━━━━━━━ 56s 263ms/step - loss: 1.0251 - mean_absolute_error: 0.8096
``` - + ```
- 1386/1599 ━━━━━━━━━━━━━━━━━━━━ 1:34 445ms/step - loss: 1.0262 - mean_absolute_error: 0.8092 + 1386/1599 ━━━━━━━━━━━━━━━━━━━━ 56s 263ms/step - loss: 1.0251 - mean_absolute_error: 0.8096
``` - + ```
- 1387/1599 ━━━━━━━━━━━━━━━━━━━━ 1:34 445ms/step - loss: 1.0262 - mean_absolute_error: 0.8092 + 1387/1599 ━━━━━━━━━━━━━━━━━━━━ 55s 263ms/step - loss: 1.0251 - mean_absolute_error: 0.8096
``` - + ```
- 1388/1599 ━━━━━━━━━━━━━━━━━━━━ 1:33 445ms/step - loss: 1.0261 - mean_absolute_error: 0.8092 + 1388/1599 ━━━━━━━━━━━━━━━━━━━━ 55s 263ms/step - loss: 1.0251 - mean_absolute_error: 0.8096
``` - + ```
- 1389/1599 ━━━━━━━━━━━━━━━━━━━━ 1:33 445ms/step - loss: 1.0261 - mean_absolute_error: 0.8092 + 1389/1599 ━━━━━━━━━━━━━━━━━━━━ 55s 263ms/step - loss: 1.0251 - mean_absolute_error: 0.8096
``` - + ```
- 1390/1599 ━━━━━━━━━━━━━━━━━━━━ 1:33 445ms/step - loss: 1.0261 - mean_absolute_error: 0.8092 + 1390/1599 ━━━━━━━━━━━━━━━━━━━━ 55s 263ms/step - loss: 1.0250 - mean_absolute_error: 0.8096
``` - + ```
- 1391/1599 ━━━━━━━━━━━━━━━━━━━━ 1:32 445ms/step - loss: 1.0261 - mean_absolute_error: 0.8092 + 1391/1599 ━━━━━━━━━━━━━━━━━━━━ 54s 263ms/step - loss: 1.0250 - mean_absolute_error: 0.8096
``` - + ```
- 1392/1599 ━━━━━━━━━━━━━━━━━━━━ 1:32 445ms/step - loss: 1.0261 - mean_absolute_error: 0.8092 + 1392/1599 ━━━━━━━━━━━━━━━━━━━━ 54s 263ms/step - loss: 1.0250 - mean_absolute_error: 0.8096
``` - + ```
- 1393/1599 ━━━━━━━━━━━━━━━━━━━━ 1:31 445ms/step - loss: 1.0261 - mean_absolute_error: 0.8092 + 1393/1599 ━━━━━━━━━━━━━━━━━━━━ 54s 264ms/step - loss: 1.0250 - mean_absolute_error: 0.8096
``` - + ```
- 1394/1599 ━━━━━━━━━━━━━━━━━━━━ 1:31 445ms/step - loss: 1.0261 - mean_absolute_error: 0.8092 + 1394/1599 ━━━━━━━━━━━━━━━━━━━━ 54s 264ms/step - loss: 1.0250 - mean_absolute_error: 0.8096
``` - + ```
- 1395/1599 ━━━━━━━━━━━━━━━━━━━━ 1:30 445ms/step - loss: 1.0260 - mean_absolute_error: 0.8092 + 1395/1599 ━━━━━━━━━━━━━━━━━━━━ 53s 264ms/step - loss: 1.0250 - mean_absolute_error: 0.8096
``` - + ```
- 1396/1599 ━━━━━━━━━━━━━━━━━━━━ 1:30 445ms/step - loss: 1.0260 - mean_absolute_error: 0.8091 + 1396/1599 ━━━━━━━━━━━━━━━━━━━━ 53s 264ms/step - loss: 1.0250 - mean_absolute_error: 0.8096
``` - + ```
- 1397/1599 ━━━━━━━━━━━━━━━━━━━━ 1:29 445ms/step - loss: 1.0260 - mean_absolute_error: 0.8091 + 1397/1599 ━━━━━━━━━━━━━━━━━━━━ 53s 264ms/step - loss: 1.0250 - mean_absolute_error: 0.8096
``` - + ```
- 1398/1599 ━━━━━━━━━━━━━━━━━━━━ 1:29 445ms/step - loss: 1.0260 - mean_absolute_error: 0.8091 + 1398/1599 ━━━━━━━━━━━━━━━━━━━━ 52s 264ms/step - loss: 1.0249 - mean_absolute_error: 0.8095
``` - + ```
- 1399/1599 ━━━━━━━━━━━━━━━━━━━━ 1:28 445ms/step - loss: 1.0260 - mean_absolute_error: 0.8091 + 1399/1599 ━━━━━━━━━━━━━━━━━━━━ 52s 264ms/step - loss: 1.0249 - mean_absolute_error: 0.8095
``` - + ```
- 1400/1599 ━━━━━━━━━━━━━━━━━━━━ 1:28 445ms/step - loss: 1.0260 - mean_absolute_error: 0.8091 + 1400/1599 ━━━━━━━━━━━━━━━━━━━━ 52s 264ms/step - loss: 1.0249 - mean_absolute_error: 0.8095
``` - + ```
- 1401/1599 ━━━━━━━━━━━━━━━━━━━━ 1:28 445ms/step - loss: 1.0260 - mean_absolute_error: 0.8091 + 1401/1599 ━━━━━━━━━━━━━━━━━━━━ 52s 264ms/step - loss: 1.0249 - mean_absolute_error: 0.8095
``` - + ```
- 1402/1599 ━━━━━━━━━━━━━━━━━━━━ 1:27 445ms/step - loss: 1.0260 - mean_absolute_error: 0.8091 + 1402/1599 ━━━━━━━━━━━━━━━━━━━━ 51s 264ms/step - loss: 1.0249 - mean_absolute_error: 0.8095
``` - + ```
- 1403/1599 ━━━━━━━━━━━━━━━━━━━━ 1:27 445ms/step - loss: 1.0259 - mean_absolute_error: 0.8091 + 1403/1599 ━━━━━━━━━━━━━━━━━━━━ 51s 264ms/step - loss: 1.0249 - mean_absolute_error: 0.8095
``` - + ```
- 1404/1599 ━━━━━━━━━━━━━━━━━━━━ 1:26 445ms/step - loss: 1.0259 - mean_absolute_error: 0.8091 + 1404/1599 ━━━━━━━━━━━━━━━━━━━━ 51s 264ms/step - loss: 1.0249 - mean_absolute_error: 0.8095
``` - + ```
- 1405/1599 ━━━━━━━━━━━━━━━━━━━━ 1:26 445ms/step - loss: 1.0259 - mean_absolute_error: 0.8091 + 1405/1599 ━━━━━━━━━━━━━━━━━━━━ 51s 264ms/step - loss: 1.0248 - mean_absolute_error: 0.8095
``` - + ```
- 1406/1599 ━━━━━━━━━━━━━━━━━━━━ 1:25 445ms/step - loss: 1.0259 - mean_absolute_error: 0.8091 + 1406/1599 ━━━━━━━━━━━━━━━━━━━━ 50s 264ms/step - loss: 1.0248 - mean_absolute_error: 0.8095
``` - + ```
- 1407/1599 ━━━━━━━━━━━━━━━━━━━━ 1:25 445ms/step - loss: 1.0259 - mean_absolute_error: 0.8091 + 1407/1599 ━━━━━━━━━━━━━━━━━━━━ 50s 264ms/step - loss: 1.0248 - mean_absolute_error: 0.8095
``` - + ```
- 1408/1599 ━━━━━━━━━━━━━━━━━━━━ 1:25 445ms/step - loss: 1.0259 - mean_absolute_error: 0.8091 + 1408/1599 ━━━━━━━━━━━━━━━━━━━━ 50s 264ms/step - loss: 1.0248 - mean_absolute_error: 0.8095
``` - + ```
- 1409/1599 ━━━━━━━━━━━━━━━━━━━━ 1:24 445ms/step - loss: 1.0259 - mean_absolute_error: 0.8091 + 1409/1599 ━━━━━━━━━━━━━━━━━━━━ 50s 264ms/step - loss: 1.0248 - mean_absolute_error: 0.8095
``` - + ```
- 1410/1599 ━━━━━━━━━━━━━━━━━━━━ 1:24 445ms/step - loss: 1.0258 - mean_absolute_error: 0.8091 + 1410/1599 ━━━━━━━━━━━━━━━━━━━━ 49s 264ms/step - loss: 1.0248 - mean_absolute_error: 0.8095
``` - + ```
- 1411/1599 ━━━━━━━━━━━━━━━━━━━━ 1:23 445ms/step - loss: 1.0258 - mean_absolute_error: 0.8091 + 1411/1599 ━━━━━━━━━━━━━━━━━━━━ 49s 264ms/step - loss: 1.0248 - mean_absolute_error: 0.8095
``` - + ```
- 1412/1599 ━━━━━━━━━━━━━━━━━━━━ 1:23 445ms/step - loss: 1.0258 - mean_absolute_error: 0.8090 + 1412/1599 ━━━━━━━━━━━━━━━━━━━━ 49s 264ms/step - loss: 1.0248 - mean_absolute_error: 0.8095
``` - + ```
- 1413/1599 ━━━━━━━━━━━━━━━━━━━━ 1:22 445ms/step - loss: 1.0258 - mean_absolute_error: 0.8090 + 1413/1599 ━━━━━━━━━━━━━━━━━━━━ 49s 264ms/step - loss: 1.0247 - mean_absolute_error: 0.8095
``` - + ```
- 1414/1599 ━━━━━━━━━━━━━━━━━━━━ 1:22 445ms/step - loss: 1.0258 - mean_absolute_error: 0.8090 + 1414/1599 ━━━━━━━━━━━━━━━━━━━━ 48s 264ms/step - loss: 1.0247 - mean_absolute_error: 0.8094
``` - + ```
- 1415/1599 ━━━━━━━━━━━━━━━━━━━━ 1:21 445ms/step - loss: 1.0258 - mean_absolute_error: 0.8090 + 1415/1599 ━━━━━━━━━━━━━━━━━━━━ 48s 264ms/step - loss: 1.0247 - mean_absolute_error: 0.8094
``` - + ```
- 1416/1599 ━━━━━━━━━━━━━━━━━━━━ 1:21 445ms/step - loss: 1.0258 - mean_absolute_error: 0.8090 + 1416/1599 ━━━━━━━━━━━━━━━━━━━━ 48s 264ms/step - loss: 1.0247 - mean_absolute_error: 0.8094
``` - + ```
- 1417/1599 ━━━━━━━━━━━━━━━━━━━━ 1:21 445ms/step - loss: 1.0257 - mean_absolute_error: 0.8090 + 1417/1599 ━━━━━━━━━━━━━━━━━━━━ 47s 264ms/step - loss: 1.0247 - mean_absolute_error: 0.8094
``` - + ```
- 1418/1599 ━━━━━━━━━━━━━━━━━━━━ 1:20 445ms/step - loss: 1.0257 - mean_absolute_error: 0.8090 + 1418/1599 ━━━━━━━━━━━━━━━━━━━━ 47s 264ms/step - loss: 1.0247 - mean_absolute_error: 0.8094
``` - + ```
- 1419/1599 ━━━━━━━━━━━━━━━━━━━━ 1:20 445ms/step - loss: 1.0257 - mean_absolute_error: 0.8090 + 1419/1599 ━━━━━━━━━━━━━━━━━━━━ 47s 264ms/step - loss: 1.0247 - mean_absolute_error: 0.8094
``` - + ```
- 1420/1599 ━━━━━━━━━━━━━━━━━━━━ 1:19 445ms/step - loss: 1.0257 - mean_absolute_error: 0.8090 + 1420/1599 ━━━━━━━━━━━━━━━━━━━━ 47s 264ms/step - loss: 1.0247 - mean_absolute_error: 0.8094
``` - + ```
- 1421/1599 ━━━━━━━━━━━━━━━━━━━━ 1:19 445ms/step - loss: 1.0257 - mean_absolute_error: 0.8090 + 1421/1599 ━━━━━━━━━━━━━━━━━━━━ 46s 264ms/step - loss: 1.0246 - mean_absolute_error: 0.8094
``` - + ```
- 1422/1599 ━━━━━━━━━━━━━━━━━━━━ 1:18 445ms/step - loss: 1.0257 - mean_absolute_error: 0.8090 + 1422/1599 ━━━━━━━━━━━━━━━━━━━━ 46s 264ms/step - loss: 1.0246 - mean_absolute_error: 0.8094
``` - + ```
- 1423/1599 ━━━━━━━━━━━━━━━━━━━━ 1:18 445ms/step - loss: 1.0257 - mean_absolute_error: 0.8090 + 1423/1599 ━━━━━━━━━━━━━━━━━━━━ 46s 264ms/step - loss: 1.0246 - mean_absolute_error: 0.8094
``` - + ```
- 1424/1599 ━━━━━━━━━━━━━━━━━━━━ 1:17 445ms/step - loss: 1.0256 - mean_absolute_error: 0.8090 + 1424/1599 ━━━━━━━━━━━━━━━━━━━━ 46s 264ms/step - loss: 1.0246 - mean_absolute_error: 0.8094
``` - + ```
- 1425/1599 ━━━━━━━━━━━━━━━━━━━━ 1:17 445ms/step - loss: 1.0256 - mean_absolute_error: 0.8090 + 1425/1599 ━━━━━━━━━━━━━━━━━━━━ 45s 264ms/step - loss: 1.0246 - mean_absolute_error: 0.8094
``` - + ```
- 1426/1599 ━━━━━━━━━━━━━━━━━━━━ 1:17 445ms/step - loss: 1.0256 - mean_absolute_error: 0.8090 + 1426/1599 ━━━━━━━━━━━━━━━━━━━━ 45s 264ms/step - loss: 1.0246 - mean_absolute_error: 0.8094
``` - + ```
- 1427/1599 ━━━━━━━━━━━━━━━━━━━━ 1:16 445ms/step - loss: 1.0256 - mean_absolute_error: 0.8090 + 1427/1599 ━━━━━━━━━━━━━━━━━━━━ 45s 264ms/step - loss: 1.0246 - mean_absolute_error: 0.8094
``` - + ```
- 1428/1599 ━━━━━━━━━━━━━━━━━━━━ 1:16 445ms/step - loss: 1.0256 - mean_absolute_error: 0.8090 + 1428/1599 ━━━━━━━━━━━━━━━━━━━━ 45s 264ms/step - loss: 1.0246 - mean_absolute_error: 0.8094
``` - + ```
- 1429/1599 ━━━━━━━━━━━━━━━━━━━━ 1:15 445ms/step - loss: 1.0256 - mean_absolute_error: 0.8089 + 1429/1599 ━━━━━━━━━━━━━━━━━━━━ 44s 264ms/step - loss: 1.0245 - mean_absolute_error: 0.8094
``` - + ```
- 1430/1599 ━━━━━━━━━━━━━━━━━━━━ 1:15 445ms/step - loss: 1.0256 - mean_absolute_error: 0.8089 + 1430/1599 ━━━━━━━━━━━━━━━━━━━━ 44s 263ms/step - loss: 1.0245 - mean_absolute_error: 0.8094
``` - + ```
- 1431/1599 ━━━━━━━━━━━━━━━━━━━━ 1:14 445ms/step - loss: 1.0256 - mean_absolute_error: 0.8089 + 1431/1599 ━━━━━━━━━━━━━━━━━━━━ 44s 263ms/step - loss: 1.0245 - mean_absolute_error: 0.8093
``` - + ```
- 1432/1599 ━━━━━━━━━━━━━━━━━━━━ 1:14 445ms/step - loss: 1.0255 - mean_absolute_error: 0.8089 + 1432/1599 ━━━━━━━━━━━━━━━━━━━━ 43s 263ms/step - loss: 1.0245 - mean_absolute_error: 0.8093
``` - + ```
- 1433/1599 ━━━━━━━━━━━━━━━━━━━━ 1:13 445ms/step - loss: 1.0255 - mean_absolute_error: 0.8089 + 1433/1599 ━━━━━━━━━━━━━━━━━━━━ 43s 263ms/step - loss: 1.0245 - mean_absolute_error: 0.8093
``` - + ```
- 1434/1599 ━━━━━━━━━━━━━━━━━━━━ 1:13 445ms/step - loss: 1.0255 - mean_absolute_error: 0.8089 + 1434/1599 ━━━━━━━━━━━━━━━━━━━━ 43s 263ms/step - loss: 1.0245 - mean_absolute_error: 0.8093
``` - + ```
- 1435/1599 ━━━━━━━━━━━━━━━━━━━━ 1:13 445ms/step - loss: 1.0255 - mean_absolute_error: 0.8089 + 1435/1599 ━━━━━━━━━━━━━━━━━━━━ 43s 263ms/step - loss: 1.0245 - mean_absolute_error: 0.8093
``` - + ```
- 1436/1599 ━━━━━━━━━━━━━━━━━━━━ 1:12 445ms/step - loss: 1.0255 - mean_absolute_error: 0.8089 + 1436/1599 ━━━━━━━━━━━━━━━━━━━━ 42s 263ms/step - loss: 1.0245 - mean_absolute_error: 0.8093
``` - + ```
- 1437/1599 ━━━━━━━━━━━━━━━━━━━━ 1:12 445ms/step - loss: 1.0255 - mean_absolute_error: 0.8089 + 1437/1599 ━━━━━━━━━━━━━━━━━━━━ 42s 263ms/step - loss: 1.0244 - mean_absolute_error: 0.8093
``` - + ```
- 1438/1599 ━━━━━━━━━━━━━━━━━━━━ 1:11 445ms/step - loss: 1.0255 - mean_absolute_error: 0.8089 + 1438/1599 ━━━━━━━━━━━━━━━━━━━━ 42s 263ms/step - loss: 1.0244 - mean_absolute_error: 0.8093
``` - + ```
- 1439/1599 ━━━━━━━━━━━━━━━━━━━━ 1:11 445ms/step - loss: 1.0255 - mean_absolute_error: 0.8089 + 1439/1599 ━━━━━━━━━━━━━━━━━━━━ 42s 263ms/step - loss: 1.0244 - mean_absolute_error: 0.8093
``` - + ```
- 1440/1599 ━━━━━━━━━━━━━━━━━━━━ 1:10 445ms/step - loss: 1.0254 - mean_absolute_error: 0.8089 + 1440/1599 ━━━━━━━━━━━━━━━━━━━━ 41s 263ms/step - loss: 1.0244 - mean_absolute_error: 0.8093
``` - + ```
- 1441/1599 ━━━━━━━━━━━━━━━━━━━━ 1:10 445ms/step - loss: 1.0254 - mean_absolute_error: 0.8089 + 1441/1599 ━━━━━━━━━━━━━━━━━━━━ 41s 264ms/step - loss: 1.0244 - mean_absolute_error: 0.8093
``` - + ```
- 1442/1599 ━━━━━━━━━━━━━━━━━━━━ 1:09 445ms/step - loss: 1.0254 - mean_absolute_error: 0.8089 + 1442/1599 ━━━━━━━━━━━━━━━━━━━━ 41s 264ms/step - loss: 1.0244 - mean_absolute_error: 0.8093
``` - + ```
- 1443/1599 ━━━━━━━━━━━━━━━━━━━━ 1:09 445ms/step - loss: 1.0254 - mean_absolute_error: 0.8089 + 1443/1599 ━━━━━━━━━━━━━━━━━━━━ 41s 264ms/step - loss: 1.0244 - mean_absolute_error: 0.8093
``` - + ```
- 1444/1599 ━━━━━━━━━━━━━━━━━━━━ 1:09 445ms/step - loss: 1.0254 - mean_absolute_error: 0.8089 + 1444/1599 ━━━━━━━━━━━━━━━━━━━━ 40s 264ms/step - loss: 1.0244 - mean_absolute_error: 0.8093
``` - + ```
- 1445/1599 ━━━━━━━━━━━━━━━━━━━━ 1:08 445ms/step - loss: 1.0254 - mean_absolute_error: 0.8089 + 1445/1599 ━━━━━━━━━━━━━━━━━━━━ 40s 264ms/step - loss: 1.0243 - mean_absolute_error: 0.8093
``` - + ```
- 1446/1599 ━━━━━━━━━━━━━━━━━━━━ 1:08 445ms/step - loss: 1.0254 - mean_absolute_error: 0.8088 + 1446/1599 ━━━━━━━━━━━━━━━━━━━━ 40s 264ms/step - loss: 1.0243 - mean_absolute_error: 0.8093
``` - + ```
- 1447/1599 ━━━━━━━━━━━━━━━━━━━━ 1:07 445ms/step - loss: 1.0253 - mean_absolute_error: 0.8088 + 1447/1599 ━━━━━━━━━━━━━━━━━━━━ 40s 264ms/step - loss: 1.0243 - mean_absolute_error: 0.8093
``` - + ```
- 1448/1599 ━━━━━━━━━━━━━━━━━━━━ 1:07 445ms/step - loss: 1.0253 - mean_absolute_error: 0.8088 + 1448/1599 ━━━━━━━━━━━━━━━━━━━━ 39s 264ms/step - loss: 1.0243 - mean_absolute_error: 0.8092
``` - + ```
- 1449/1599 ━━━━━━━━━━━━━━━━━━━━ 1:06 445ms/step - loss: 1.0253 - mean_absolute_error: 0.8088 + 1449/1599 ━━━━━━━━━━━━━━━━━━━━ 39s 264ms/step - loss: 1.0243 - mean_absolute_error: 0.8092
``` - + ```
- 1450/1599 ━━━━━━━━━━━━━━━━━━━━ 1:06 445ms/step - loss: 1.0253 - mean_absolute_error: 0.8088 + 1450/1599 ━━━━━━━━━━━━━━━━━━━━ 39s 264ms/step - loss: 1.0243 - mean_absolute_error: 0.8092
``` - + ```
- 1451/1599 ━━━━━━━━━━━━━━━━━━━━ 1:05 446ms/step - loss: 1.0253 - mean_absolute_error: 0.8088 + 1451/1599 ━━━━━━━━━━━━━━━━━━━━ 39s 264ms/step - loss: 1.0243 - mean_absolute_error: 0.8092
``` - + ```
- 1452/1599 ━━━━━━━━━━━━━━━━━━━━ 1:05 446ms/step - loss: 1.0253 - mean_absolute_error: 0.8088 + 1452/1599 ━━━━━━━━━━━━━━━━━━━━ 38s 264ms/step - loss: 1.0243 - mean_absolute_error: 0.8092
``` - + ```
- 1453/1599 ━━━━━━━━━━━━━━━━━━━━ 1:05 446ms/step - loss: 1.0253 - mean_absolute_error: 0.8088 + 1453/1599 ━━━━━━━━━━━━━━━━━━━━ 38s 264ms/step - loss: 1.0243 - mean_absolute_error: 0.8092
``` - + ```
- 1454/1599 ━━━━━━━━━━━━━━━━━━━━ 1:04 446ms/step - loss: 1.0253 - mean_absolute_error: 0.8088 + 1454/1599 ━━━━━━━━━━━━━━━━━━━━ 38s 264ms/step - loss: 1.0242 - mean_absolute_error: 0.8092
``` - + ```
- 1455/1599 ━━━━━━━━━━━━━━━━━━━━ 1:04 446ms/step - loss: 1.0252 - mean_absolute_error: 0.8088 + 1455/1599 ━━━━━━━━━━━━━━━━━━━━ 37s 264ms/step - loss: 1.0242 - mean_absolute_error: 0.8092
``` - + ```
- 1456/1599 ━━━━━━━━━━━━━━━━━━━━ 1:03 446ms/step - loss: 1.0252 - mean_absolute_error: 0.8088 + 1456/1599 ━━━━━━━━━━━━━━━━━━━━ 37s 264ms/step - loss: 1.0242 - mean_absolute_error: 0.8092
``` - + ```
- 1457/1599 ━━━━━━━━━━━━━━━━━━━━ 1:03 445ms/step - loss: 1.0252 - mean_absolute_error: 0.8088 + 1457/1599 ━━━━━━━━━━━━━━━━━━━━ 37s 264ms/step - loss: 1.0242 - mean_absolute_error: 0.8092
``` - + ```
- 1458/1599 ━━━━━━━━━━━━━━━━━━━━ 1:02 445ms/step - loss: 1.0252 - mean_absolute_error: 0.8088 + 1458/1599 ━━━━━━━━━━━━━━━━━━━━ 37s 264ms/step - loss: 1.0242 - mean_absolute_error: 0.8092
``` - + ```
- 1459/1599 ━━━━━━━━━━━━━━━━━━━━ 1:02 445ms/step - loss: 1.0252 - mean_absolute_error: 0.8088 + 1459/1599 ━━━━━━━━━━━━━━━━━━━━ 36s 264ms/step - loss: 1.0242 - mean_absolute_error: 0.8092
``` - + ```
- 1460/1599 ━━━━━━━━━━━━━━━━━━━━ 1:01 445ms/step - loss: 1.0252 - mean_absolute_error: 0.8088 + 1460/1599 ━━━━━━━━━━━━━━━━━━━━ 36s 264ms/step - loss: 1.0242 - mean_absolute_error: 0.8092
``` - + ```
- 1461/1599 ━━━━━━━━━━━━━━━━━━━━ 1:01 445ms/step - loss: 1.0252 - mean_absolute_error: 0.8088 + 1461/1599 ━━━━━━━━━━━━━━━━━━━━ 36s 264ms/step - loss: 1.0242 - mean_absolute_error: 0.8092
``` - + ```
- 1462/1599 ━━━━━━━━━━━━━━━━━━━━ 1:01 445ms/step - loss: 1.0252 - mean_absolute_error: 0.8088 + 1462/1599 ━━━━━━━━━━━━━━━━━━━━ 36s 264ms/step - loss: 1.0241 - mean_absolute_error: 0.8092
``` - + ```
- 1463/1599 ━━━━━━━━━━━━━━━━━━━━ 1:00 445ms/step - loss: 1.0251 - mean_absolute_error: 0.8088 + 1463/1599 ━━━━━━━━━━━━━━━━━━━━ 35s 264ms/step - loss: 1.0241 - mean_absolute_error: 0.8092
``` - + ```
- 1464/1599 ━━━━━━━━━━━━━━━━━━━━ 1:00 445ms/step - loss: 1.0251 - mean_absolute_error: 0.8087 + 1464/1599 ━━━━━━━━━━━━━━━━━━━━ 35s 264ms/step - loss: 1.0241 - mean_absolute_error: 0.8092
``` - + ```
- 1465/1599 ━━━━━━━━━━━━━━━━━━━━ 59s 445ms/step - loss: 1.0251 - mean_absolute_error: 0.8087 + 1465/1599 ━━━━━━━━━━━━━━━━━━━━ 35s 264ms/step - loss: 1.0241 - mean_absolute_error: 0.8092
```  ```
- 1466/1599 ━━━━━━━━━━━━━━━━━━━━ 59s 446ms/step - loss: 1.0251 - mean_absolute_error: 0.8087 + 1466/1599 ━━━━━━━━━━━━━━━━━━━━ 35s 264ms/step - loss: 1.0241 - mean_absolute_error: 0.8091
```  ```
- 1467/1599 ━━━━━━━━━━━━━━━━━━━━ 58s 446ms/step - loss: 1.0251 - mean_absolute_error: 0.8087 + 1467/1599 ━━━━━━━━━━━━━━━━━━━━ 34s 264ms/step - loss: 1.0241 - mean_absolute_error: 0.8091
```  ```
- 1468/1599 ━━━━━━━━━━━━━━━━━━━━ 58s 446ms/step - loss: 1.0251 - mean_absolute_error: 0.8087 + 1468/1599 ━━━━━━━━━━━━━━━━━━━━ 34s 264ms/step - loss: 1.0241 - mean_absolute_error: 0.8091
```  ```
- 1469/1599 ━━━━━━━━━━━━━━━━━━━━ 57s 446ms/step - loss: 1.0251 - mean_absolute_error: 0.8087 + 1469/1599 ━━━━━━━━━━━━━━━━━━━━ 34s 264ms/step - loss: 1.0241 - mean_absolute_error: 0.8091
```  ```
- 1470/1599 ━━━━━━━━━━━━━━━━━━━━ 57s 446ms/step - loss: 1.0251 - mean_absolute_error: 0.8087 + 1470/1599 ━━━━━━━━━━━━━━━━━━━━ 34s 264ms/step - loss: 1.0241 - mean_absolute_error: 0.8091
```  ```
- 1471/1599 ━━━━━━━━━━━━━━━━━━━━ 57s 446ms/step - loss: 1.0250 - mean_absolute_error: 0.8087 + 1471/1599 ━━━━━━━━━━━━━━━━━━━━ 33s 264ms/step - loss: 1.0240 - mean_absolute_error: 0.8091
```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
- 1501/1599 ━━━━━━━━━━━━━━━━━━━━ 43s 446ms/step - loss: 1.0247 - mean_absolute_error: 0.8085 + 1501/1599 ━━━━━━━━━━━━━━━━━━━━ 25s 264ms/step - loss: 1.0237 - mean_absolute_error: 0.8090
```  ```
- 1502/1599 ━━━━━━━━━━━━━━━━━━━━ 43s 446ms/step - loss: 1.0246 - mean_absolute_error: 0.8085 + 1502/1599 ━━━━━━━━━━━━━━━━━━━━ 25s 264ms/step - loss: 1.0237 - mean_absolute_error: 0.8089
```  ```
- 1503/1599 ━━━━━━━━━━━━━━━━━━━━ 42s 446ms/step - loss: 1.0246 - mean_absolute_error: 0.8085 + 1503/1599 ━━━━━━━━━━━━━━━━━━━━ 25s 264ms/step - loss: 1.0237 - mean_absolute_error: 0.8089
```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
- 1524/1599 ━━━━━━━━━━━━━━━━━━━━ 33s 447ms/step - loss: 1.0244 - mean_absolute_error: 0.8084 + 1524/1599 ━━━━━━━━━━━━━━━━━━━━ 19s 264ms/step - loss: 1.0234 - mean_absolute_error: 0.8088
```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
- 1543/1599 ━━━━━━━━━━━━━━━━━━━━ 25s 447ms/step - loss: 1.0241 - mean_absolute_error: 0.8083 + 1543/1599 ━━━━━━━━━━━━━━━━━━━━ 14s 265ms/step - loss: 1.0232 - mean_absolute_error: 0.8087
```  ```
- 1544/1599 ━━━━━━━━━━━━━━━━━━━━ 24s 447ms/step - loss: 1.0241 - mean_absolute_error: 0.8083 + 1544/1599 ━━━━━━━━━━━━━━━━━━━━ 14s 265ms/step - loss: 1.0232 - mean_absolute_error: 0.8087
```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
- 1550/1599 ━━━━━━━━━━━━━━━━━━━━ 21s 447ms/step - loss: 1.0241 - mean_absolute_error: 0.8083 + 1550/1599 ━━━━━━━━━━━━━━━━━━━━ 12s 265ms/step - loss: 1.0231 - mean_absolute_error: 0.8087
```  ```
- 1551/1599 ━━━━━━━━━━━━━━━━━━━━ 21s 447ms/step - loss: 1.0240 - mean_absolute_error: 0.8083 + 1551/1599 ━━━━━━━━━━━━━━━━━━━━ 12s 265ms/step - loss: 1.0231 - mean_absolute_error: 0.8087
```  ```
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```  ```
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```  ```
- 1554/1599 ━━━━━━━━━━━━━━━━━━━━ 20s 447ms/step - loss: 1.0240 - mean_absolute_error: 0.8082 + 1554/1599 ━━━━━━━━━━━━━━━━━━━━ 11s 265ms/step - loss: 1.0231 - mean_absolute_error: 0.8087
```  ```
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```  ```
- 1556/1599 ━━━━━━━━━━━━━━━━━━━━ 19s 447ms/step - loss: 1.0240 - mean_absolute_error: 0.8082 + 1556/1599 ━━━━━━━━━━━━━━━━━━━━ 11s 265ms/step - loss: 1.0230 - mean_absolute_error: 0.8087
```  ```
- 1557/1599 ━━━━━━━━━━━━━━━━━━━━ 18s 447ms/step - loss: 1.0240 - mean_absolute_error: 0.8082 + 1557/1599 ━━━━━━━━━━━━━━━━━━━━ 11s 265ms/step - loss: 1.0230 - mean_absolute_error: 0.8086
```  ```
- 1558/1599 ━━━━━━━━━━━━━━━━━━━━ 18s 447ms/step - loss: 1.0240 - mean_absolute_error: 0.8082 + 1558/1599 ━━━━━━━━━━━━━━━━━━━━ 10s 265ms/step - loss: 1.0230 - mean_absolute_error: 0.8086
```  ```
- 1559/1599 ━━━━━━━━━━━━━━━━━━━━ 17s 447ms/step - loss: 1.0239 - mean_absolute_error: 0.8082 + 1559/1599 ━━━━━━━━━━━━━━━━━━━━ 10s 265ms/step - loss: 1.0230 - mean_absolute_error: 0.8086
```  ```
- 1560/1599 ━━━━━━━━━━━━━━━━━━━━ 17s 447ms/step - loss: 1.0239 - mean_absolute_error: 0.8082 + 1560/1599 ━━━━━━━━━━━━━━━━━━━━ 10s 265ms/step - loss: 1.0230 - mean_absolute_error: 0.8086
```  ```
- 1561/1599 ━━━━━━━━━━━━━━━━━━━━ 16s 447ms/step - loss: 1.0239 - mean_absolute_error: 0.8082 + 1561/1599 ━━━━━━━━━━━━━━━━━━━━ 10s 265ms/step - loss: 1.0230 - mean_absolute_error: 0.8086
```  ```
- 1562/1599 ━━━━━━━━━━━━━━━━━━━━ 16s 447ms/step - loss: 1.0239 - mean_absolute_error: 0.8082 + 1562/1599 ━━━━━━━━━━━━━━━━━━━━ 9s 265ms/step - loss: 1.0230 - mean_absolute_error: 0.8086
``` - + ```
- 1563/1599 ━━━━━━━━━━━━━━━━━━━━ 16s 447ms/step - loss: 1.0239 - mean_absolute_error: 0.8082 + 1563/1599 ━━━━━━━━━━━━━━━━━━━━ 9s 265ms/step - loss: 1.0230 - mean_absolute_error: 0.8086
``` - + ```
- 1564/1599 ━━━━━━━━━━━━━━━━━━━━ 15s 447ms/step - loss: 1.0239 - mean_absolute_error: 0.8082 + 1564/1599 ━━━━━━━━━━━━━━━━━━━━ 9s 265ms/step - loss: 1.0230 - mean_absolute_error: 0.8086
``` - + ```
- 1565/1599 ━━━━━━━━━━━━━━━━━━━━ 15s 447ms/step - loss: 1.0239 - mean_absolute_error: 0.8082 + 1565/1599 ━━━━━━━━━━━━━━━━━━━━ 8s 265ms/step - loss: 1.0229 - mean_absolute_error: 0.8086
``` - + ```
- 1566/1599 ━━━━━━━━━━━━━━━━━━━━ 14s 447ms/step - loss: 1.0239 - mean_absolute_error: 0.8082 + 1566/1599 ━━━━━━━━━━━━━━━━━━━━ 8s 265ms/step - loss: 1.0229 - mean_absolute_error: 0.8086
``` - + ```
- 1567/1599 ━━━━━━━━━━━━━━━━━━━━ 14s 447ms/step - loss: 1.0239 - mean_absolute_error: 0.8082 + 1567/1599 ━━━━━━━━━━━━━━━━━━━━ 8s 265ms/step - loss: 1.0229 - mean_absolute_error: 0.8086
``` - + ```
- 1568/1599 ━━━━━━━━━━━━━━━━━━━━ 13s 447ms/step - loss: 1.0238 - mean_absolute_error: 0.8082 + 1568/1599 ━━━━━━━━━━━━━━━━━━━━ 8s 265ms/step - loss: 1.0229 - mean_absolute_error: 0.8086
``` - + ```
- 1569/1599 ━━━━━━━━━━━━━━━━━━━━ 13s 447ms/step - loss: 1.0238 - mean_absolute_error: 0.8082 + 1569/1599 ━━━━━━━━━━━━━━━━━━━━ 7s 265ms/step - loss: 1.0229 - mean_absolute_error: 0.8086
``` - + ```
- 1570/1599 ━━━━━━━━━━━━━━━━━━━━ 12s 447ms/step - loss: 1.0238 - mean_absolute_error: 0.8082 + 1570/1599 ━━━━━━━━━━━━━━━━━━━━ 7s 265ms/step - loss: 1.0229 - mean_absolute_error: 0.8086
``` - + ```
- 1571/1599 ━━━━━━━━━━━━━━━━━━━━ 12s 447ms/step - loss: 1.0238 - mean_absolute_error: 0.8082 + 1571/1599 ━━━━━━━━━━━━━━━━━━━━ 7s 265ms/step - loss: 1.0229 - mean_absolute_error: 0.8086
``` - + ```
- 1572/1599 ━━━━━━━━━━━━━━━━━━━━ 12s 447ms/step - loss: 1.0238 - mean_absolute_error: 0.8081 + 1572/1599 ━━━━━━━━━━━━━━━━━━━━ 7s 265ms/step - loss: 1.0229 - mean_absolute_error: 0.8086
``` - + ```
- 1573/1599 ━━━━━━━━━━━━━━━━━━━━ 11s 447ms/step - loss: 1.0238 - mean_absolute_error: 0.8081 + 1573/1599 ━━━━━━━━━━━━━━━━━━━━ 6s 265ms/step - loss: 1.0229 - mean_absolute_error: 0.8086
``` - + ```
- 1574/1599 ━━━━━━━━━━━━━━━━━━━━ 11s 447ms/step - loss: 1.0238 - mean_absolute_error: 0.8081 + 1574/1599 ━━━━━━━━━━━━━━━━━━━━ 6s 265ms/step - loss: 1.0228 - mean_absolute_error: 0.8086
``` - + ```
- 1575/1599 ━━━━━━━━━━━━━━━━━━━━ 10s 447ms/step - loss: 1.0238 - mean_absolute_error: 0.8081 + 1575/1599 ━━━━━━━━━━━━━━━━━━━━ 6s 265ms/step - loss: 1.0228 - mean_absolute_error: 0.8086
``` - + ```
- 1576/1599 ━━━━━━━━━━━━━━━━━━━━ 10s 447ms/step - loss: 1.0237 - mean_absolute_error: 0.8081 + 1576/1599 ━━━━━━━━━━━━━━━━━━━━ 6s 265ms/step - loss: 1.0228 - mean_absolute_error: 0.8085
``` - + ```
- 1577/1599 ━━━━━━━━━━━━━━━━━━━━ 9s 447ms/step - loss: 1.0237 - mean_absolute_error: 0.8081 + 1577/1599 ━━━━━━━━━━━━━━━━━━━━ 5s 265ms/step - loss: 1.0228 - mean_absolute_error: 0.8085
```  ```
- 1578/1599 ━━━━━━━━━━━━━━━━━━━━ 9s 447ms/step - loss: 1.0237 - mean_absolute_error: 0.8081 + 1578/1599 ━━━━━━━━━━━━━━━━━━━━ 5s 265ms/step - loss: 1.0228 - mean_absolute_error: 0.8085
```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
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```  ```
- 1599/1599 ━━━━━━━━━━━━━━━━━━━━ 715s 447ms/step - loss: 1.0235 - mean_absolute_error: 0.8080 + 1599/1599 ━━━━━━━━━━━━━━━━━━━━ 424s 265ms/step - loss: 1.0226 - mean_absolute_error: 0.8084
``` -Test MAE: 0.773 +Test MAE: 0.779 + +/home/humbulani/tensorflow-env/env/lib/python3.11/site-packages/keras/src/trainers/epoch_iterator.py:159: UserWarning: Your input ran out of data; interrupting training. Make sure that your dataset or generator can generate at least `steps_per_epoch * epochs` batches. You may need to use the `.repeat()` function when building your dataset. + self._interrupted_warning() ```
diff --git a/examples/structured_data/movielens_recommendations_transformers.py b/examples/structured_data/movielens_recommendations_transformers.py index 5ff5532663..b6e20bed0c 100644 --- a/examples/structured_data/movielens_recommendations_transformers.py +++ b/examples/structured_data/movielens_recommendations_transformers.py @@ -4,8 +4,8 @@ Date created: 2020/12/30 Last modified: 2025/01/27 Description: Rating rate prediction using the Behavior Sequence Transformer (BST) model on the Movielens. -Made backend-agnostic by: [Humbulani Ndou](https://github.com/Humbulani1234) Accelerator: GPU +Made backend-agnostic by: [Humbulani Ndou](https://github.com/Humbulani1234) """ """ @@ -58,10 +58,10 @@ import math from zipfile import ZipFile from urllib.request import urlretrieve - -import keras import numpy as np import pandas as pd + +import keras from keras import layers, ops from keras.layers import StringLookup @@ -315,7 +315,6 @@ def encoding_helper(feature_name): # Convert the string input values into integer indices. value_index = index_lookup(features[feature_name]) features[feature_name] = value_index - else: # movie_id is not part of the features, hence not processed. It was mainly required # for its vocabulary above. @@ -348,7 +347,6 @@ def encoding_helper(feature_name): field_delim="|", shuffle=shuffle, ).map(process) - return dataset @@ -524,6 +522,7 @@ def create_model(): features = layers.concatenate( [features, layers.Reshape([other_features.shape[-1]])(other_features)] ) + # Fully-connected layers. for num_units in hidden_units: features = layers.Dense(num_units)(features) @@ -532,7 +531,6 @@ def create_model(): features = layers.Dropout(dropout_rate)(features) outputs = layers.Dense(units=1)(features) model = keras.Model(inputs=inputs, outputs=outputs) - return model