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 imagefolder dataset.
 It achieves the following results on the evaluation set:
-- eval_loss: 2.8365
-- eval_accuracy: 0.4875
-- eval_runtime: 2.113
-- eval_samples_per_second: 75.722
-- eval_steps_per_second: 4.733
-- epoch: 38.0
-- step: 1520
+- eval_loss: 2.7619
+- eval_accuracy: 0.475
+- eval_runtime: 2.0446
+- eval_samples_per_second: 78.255
+- eval_steps_per_second: 4.891
+- epoch: 38.73
+- step: 1549
 
 ## Model description