End of training

README.md

@@ -17,13 +17,13 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the cats_vs_dogs dataset.
 It achieves the following results on the evaluation set:
-- eval_loss: 0.0183
-- eval_accuracy: 0.9957
-- eval_runtime: 36.1921
-- eval_samples_per_second: 64.683
-- eval_steps_per_second: 2.045
-- epoch: 0.96
-- step: 560
+- eval_loss: 0.0226
+- eval_accuracy: 0.9944
+- eval_runtime: 38.0768
+- eval_samples_per_second: 61.481
+- eval_steps_per_second: 1.943
+- epoch: 1.2
+- step: 705
 
 ## Model description
 

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:e024af439f8e95d0e6ba8cef5ce9850d4be89bc66d1b0cba1f3bc8a6167a1fb8
+oid sha256:8c8b4eb104cf1f09e6ac770f193d8bbf6a105b5e4dbbabe571a7a5e097caa50f
 size 343223968

runs/Feb27_07-47-39_70a3804c4e33/events.out.tfevents.1709020070.70a3804c4e33.337.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:0bb664e224c710a28c4369024ad28fd2ec35bcaf3c908fc216363a96903ad844
-size 16324
+oid sha256:5734649a447739fd8851ce7b6985436f3ed2272d3bf1c44f81aeb99974e2340e
+size 21447