Update expected FID score for 128px model

google-research · Jun 24, 2021 · 22a7ef2 · 22a7ef2
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commit 22a7ef2
Showing 1 changed file with 1 addition and 1 deletion.
diff --git a/README.md b/README.md
@@ -73,7 +73,7 @@ mkdir exp
 bash train.sh exp_name &> train.txt
 ```
 
-Checkpoints and Tensorboard logs will be saved in `/path/to/exp/exp_name`. By default, the configs/coco_xmc.py config is used, which runs an experiment for 128px images. This is able to accommodate a batch size of 8 on each GPU, and achieves an FID of around *11.1* with the EMA weights. To reproduce the full results on 256px images in our paper, the full model needs to be run using a 32-core Pod slice of [Google Cloud TPU v3](https://cloud.google.com/tpu) devices.
+Checkpoints and Tensorboard logs will be saved in `/path/to/exp/exp_name`. By default, the configs/coco_xmc.py config is used, which runs an experiment for 128px images. This is able to accommodate a batch size of 8 on each GPU, and achieves an FID of around 10.5 - 11.0 with the EMA weights. To reproduce the full results on 256px images in our paper, the full model needs to be run using a 32-core Pod slice of [Google Cloud TPU v3](https://cloud.google.com/tpu) devices.
 
 ### Evaluation