From a4db074c0e25ab2a948ab0ff83daaa8c9baf5b39 Mon Sep 17 00:00:00 2001 From: Ivan Shcheklein Date: Tue, 12 Sep 2023 19:11:31 +0000 Subject: [PATCH 1/2] Update params.yaml:lr --- params.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/params.yaml b/params.yaml index 0b17a14..91ca033 100644 --- a/params.yaml +++ b/params.yaml @@ -1,4 +1,4 @@ epochs: 25 seed: 10102022 batch_size: 8 -lr: 0.02 +lr: 0.022 From f74abfa4783a0d922fb953ec61787e017a66c9fc Mon Sep 17 00:00:00 2001 From: Ivan Shcheklein Date: Tue, 12 Sep 2023 12:30:56 -0700 Subject: [PATCH 2/2] CML PR for a4db074c [skip ci] (#67) Co-authored-by: Olivaw[bot] --- dvc.lock | 33 ++++++++------ evaluation/metrics.json | 24 +++++----- evaluation/plots/metrics/eval/accuracy.tsv | 50 ++++++++++----------- evaluation/plots/metrics/eval/loss.tsv | 50 ++++++++++----------- evaluation/plots/metrics/train/accuracy.tsv | 50 ++++++++++----------- evaluation/plots/metrics/train/loss.tsv | 50 ++++++++++----------- 6 files changed, 132 insertions(+), 125 deletions(-) diff --git a/dvc.lock b/dvc.lock index 23a0c4b..116a7d6 100644 --- a/dvc.lock +++ b/dvc.lock @@ -9,21 +9,25 @@ stages: size: 131292221 nfiles: 9736 - path: params.yaml - md5: acc863c0b1d50f969eba8171c96d0c0c - size: 49 + hash: md5 + md5: e9af045ba33352947513f48f5b8a7535 + size: 50 - path: requirements.txt md5: 33b65719f3f8c6963ad05b9f73e41d46 size: 130 - path: train.py - md5: ca4ce86d7636396b62044407ad8533cb - size: 2899 + hash: md5 + md5: d0aa428742814e114ee6dd858acb6a0d + size: 3055 outs: - path: evaluation - md5: fb17e1b2a75a6dd25cedf8c07dc78461.dir - size: 2628 + hash: md5 + md5: 8b21ff45c6f2c1d8422b0b8a5a62d207.dir + size: 2630 nfiles: 5 - path: model - md5: 032fe17b55fc6d269828e1a59515569f.dir + hash: md5 + md5: 8a4f984df9cfdb3a49c1086c42710dcf.dir size: 2784925 nfiles: 3 inference: @@ -37,15 +41,18 @@ stages: md5: e0cdb83c7bdbcb7356bd9504d64f01b4 size: 2243 - path: model - md5: 032fe17b55fc6d269828e1a59515569f.dir + hash: md5 + md5: 8a4f984df9cfdb3a49c1086c42710dcf.dir size: 2784925 nfiles: 3 outs: - path: mispredicted - md5: ea15d6ef3ec38d775b6793cbeb7e0e9c.dir - size: 331146 - nfiles: 22 + hash: md5 + md5: 858ca09a1397d9233caa35ecf56d24ac.dir + size: 573265 + nfiles: 41 - path: predictions - md5: bf038b72751d2d3f7492b790fa41e5cc.dir - size: 3097961 + hash: md5 + md5: 499ca49d9e35c65721748e14d8cb72a2.dir + size: 3098194 nfiles: 9708 diff --git a/evaluation/metrics.json b/evaluation/metrics.json index e6435df..50e7d33 100644 --- a/evaluation/metrics.json +++ b/evaluation/metrics.json @@ -1,17 +1,17 @@ { - "loss_0": 14.12459945678711, - "acc_0": 0.20661985874176025, + "loss_0": 9.496390342712402, + "acc_0": 0.22266800701618195, "train": { - "loss": 0.7644255757331848, - "accuracy": 0.6601299047470093 + "loss": 0.715406060218811, + "accuracy": 0.6923725008964539 }, "eval": { - "loss": 0.7797742486000061, - "accuracy": 0.664995014667511 + "loss": 0.745837390422821, + "accuracy": 0.6810431480407715 }, - "step": 25, - "best_loss": 0.7395905256271362, - "best_acc": 0.6870611906051636, - "best_test_loss": 0.7395905256271362, - "best_test_acc": 0.6870611906051636 -} \ No newline at end of file + "step": 24, + "best_loss": 0.6953845024108887, + "best_acc": 0.7091273665428162, + "best_test_loss": 0.7362988591194153, + "best_test_acc": 0.6791979670524597 +} diff --git a/evaluation/plots/metrics/eval/accuracy.tsv b/evaluation/plots/metrics/eval/accuracy.tsv index 7bf00d3..929a92d 100644 --- a/evaluation/plots/metrics/eval/accuracy.tsv +++ b/evaluation/plots/metrics/eval/accuracy.tsv @@ -1,26 +1,26 @@ step accuracy -0 0.44734203815460205 -1 0.4974924921989441 -2 0.523570716381073 -3 0.5315948128700256 -4 0.5396188497543335 -5 0.5376128554344177 -6 0.605817437171936 -7 0.5426278710365295 -8 0.5807422399520874 -9 0.4824473559856415 -10 0.6018053889274597 -11 0.5155466198921204 -12 0.6288866400718689 -13 0.6489468216896057 -14 0.5827482342720032 -15 0.6379137635231018 -16 0.6359077095985413 -17 0.6278836727142334 -18 0.6439318060874939 -19 0.6870611906051636 -20 0.6860581636428833 -21 0.6870611906051636 -22 0.6690070033073425 -23 0.6328986883163452 -24 0.664995014667511 +0 0.45336008071899414 +1 0.4663991928100586 +2 0.5125375986099243 +3 0.4914744198322296 +4 0.5546640157699585 +5 0.5295887589454651 +6 0.5295887589454651 +7 0.5255767107009888 +8 0.5656970739364624 +9 0.5566700100898743 +10 0.5436308979988098 +11 0.6158475279808044 +12 0.6228685975074768 +13 0.6629889607429504 +14 0.6399197578430176 +15 0.614844560623169 +16 0.6720160245895386 +17 0.6890671849250793 +18 0.6770310997962952 +19 0.6519558429718018 +20 0.7091273665428162 +21 0.6539618968963623 +22 0.6880642175674438 +23 0.6479438543319702 +24 0.6810431480407715 diff --git a/evaluation/plots/metrics/eval/loss.tsv b/evaluation/plots/metrics/eval/loss.tsv index 4dbf0fc..8d9b0ae 100644 --- a/evaluation/plots/metrics/eval/loss.tsv +++ b/evaluation/plots/metrics/eval/loss.tsv @@ -1,26 +1,26 @@ step loss -0 1.1391490697860718 -1 1.0640074014663696 -2 1.0321743488311768 -3 1.0226926803588867 -4 1.0150742530822754 -5 0.9597489833831787 -6 0.9160928130149841 -7 0.9499363899230957 -8 1.0241367816925049 -9 1.257628083229065 -10 0.8823992609977722 -11 1.0682893991470337 -12 0.8337254524230957 -13 0.8018106818199158 -14 0.8994255661964417 -15 0.8304926156997681 -16 0.8110775947570801 -17 0.8407321572303772 -18 0.7832642197608948 -19 0.7395902276039124 -20 0.7470212578773499 -21 0.7632863521575928 -22 0.783747673034668 -23 0.8550904393196106 -24 0.7797742486000061 +0 1.1833668947219849 +1 1.0921140909194946 +2 1.0168274641036987 +3 1.109740138053894 +4 1.0015449523925781 +5 0.9800705313682556 +6 0.9910182952880859 +7 0.9694363474845886 +8 0.9638677835464478 +9 0.9368582963943481 +10 1.014322280883789 +11 0.8750682473182678 +12 0.8141458630561829 +13 0.7762482762336731 +14 0.7902476191520691 +15 0.8782404065132141 +16 0.7411496043205261 +17 0.7345861196517944 +18 0.7475748062133789 +19 0.764918327331543 +20 0.6953842639923096 +21 0.7937231659889221 +22 0.731356143951416 +23 0.8645380735397339 +24 0.745837390422821 diff --git a/evaluation/plots/metrics/train/accuracy.tsv b/evaluation/plots/metrics/train/accuracy.tsv index 3beb0ce..129b490 100644 --- a/evaluation/plots/metrics/train/accuracy.tsv +++ b/evaluation/plots/metrics/train/accuracy.tsv @@ -1,26 +1,26 @@ step accuracy -0 0.41217517852783203 -1 0.4495909512042999 -2 0.4785851836204529 -3 0.4885707497596741 -4 0.5109480023384094 -5 0.5199711322784424 -6 0.540182888507843 -7 0.5519730448722839 -8 0.5689364671707153 -9 0.5717035531997681 -10 0.5761549472808838 -11 0.5837343335151672 -12 0.5879451632499695 -13 0.6021414995193481 -14 0.6017805337905884 -15 0.621270477771759 -16 0.6204283237457275 -17 0.6282483339309692 -18 0.6373917460441589 -19 0.6446102261543274 -20 0.6418431401252747 -21 0.6515880823135376 -22 0.6518287062644958 -23 0.6610924005508423 -24 0.6601299047470093 +0 0.4190327227115631 +1 0.4507940411567688 +2 0.48099133372306824 +3 0.496992290019989 +4 0.5131135582923889 +5 0.5261068344116211 +6 0.5397016406059265 +7 0.5461982488632202 +8 0.5607555508613586 +9 0.5686958432197571 +10 0.5855389833450317 +11 0.6023821234703064 +12 0.6140519976615906 +13 0.6162174940109253 +14 0.6301732659339905 +15 0.6389557123184204 +16 0.6465351581573486 +17 0.6468960642814636 +18 0.6524302363395691 +19 0.6626564264297485 +20 0.6648219227790833 +21 0.675288736820221 +22 0.6754090189933777 +23 0.6838306188583374 +24 0.6923725008964539 diff --git a/evaluation/plots/metrics/train/loss.tsv b/evaluation/plots/metrics/train/loss.tsv index 267a91d..7ca4964 100644 --- a/evaluation/plots/metrics/train/loss.tsv +++ b/evaluation/plots/metrics/train/loss.tsv @@ -1,26 +1,26 @@ step loss -0 1.263222098350525 -1 1.1330503225326538 -2 1.080898404121399 -3 1.0505465269088745 -4 1.0180203914642334 -5 0.9919012784957886 -6 0.9764916896820068 -7 0.951702892780304 -8 0.9275215864181519 -9 0.9204141497612 -10 0.8914502263069153 -11 0.8831818699836731 -12 0.8823336362838745 -13 0.8643054366111755 -14 0.8548759818077087 -15 0.8393694162368774 -16 0.830086886882782 -17 0.8222585320472717 -18 0.8006247878074646 -19 0.796380341053009 -20 0.7972770929336548 -21 0.7823106646537781 -22 0.7746572494506836 -23 0.7669628858566284 -24 0.7644255757331848 +0 1.2397773265838623 +1 1.1250438690185547 +2 1.0780916213989258 +3 1.050516963005066 +4 1.020554780960083 +5 0.9933172464370728 +6 0.9756304025650024 +7 0.9555850028991699 +8 0.9399970173835754 +9 0.9221301674842834 +10 0.8909372687339783 +11 0.871573805809021 +12 0.8612580895423889 +13 0.8395687341690063 +14 0.8253768086433411 +15 0.8139844536781311 +16 0.7958351969718933 +17 0.787065863609314 +18 0.7676438093185425 +19 0.7548658847808838 +20 0.7586285471916199 +21 0.7415772080421448 +22 0.7356660962104797 +23 0.7222235202789307 +24 0.715406060218811