End of training

README.md

@@ -18,8 +18,8 @@ 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 an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.6280
-- Accuracy: 0.895
+- Loss: 1.6549
+- Accuracy: 0.889
 
 ## Model description
 
@@ -53,9 +53,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 2.7804        | 0.992 | 62   | 2.5683          | 0.836    |
-| 1.8926        | 2.0   | 125  | 1.7896          | 0.874    |
-| 1.6114        | 2.976 | 186  | 1.6280          | 0.895    |
+| 2.7314        | 0.992 | 62   | 2.5575          | 0.817    |
+| 1.8582        | 2.0   | 125  | 1.8171          | 0.879    |
+| 1.6305        | 2.976 | 186  | 1.6549          | 0.889    |
 
 
 ### Framework versions

runs/Oct21_09-43-28_lp-pcptn-sim1/events.out.tfevents.1729521810.lp-pcptn-sim1.2251436.0

@@ -1,3 +1,3 @@
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+size 14873