End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.53125
+      value: 0.5
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,8 +32,8 @@ 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 the imagefolder dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.5737
-- Accuracy: 0.5312
+- Loss: 1.4478
+- Accuracy: 0.5
 
 ## Model description
 
@@ -64,21 +64,21 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 43   | 1.4589          | 0.55     |
-| No log        | 2.0   | 86   | 1.5561          | 0.5062   |
-| No log        | 3.0   | 129  | 1.6276          | 0.4938   |
-| No log        | 4.0   | 172  | 1.5934          | 0.525    |
-| No log        | 5.0   | 215  | 1.4851          | 0.5875   |
-| No log        | 6.0   | 258  | 1.4807          | 0.575    |
-| No log        | 7.0   | 301  | 1.5634          | 0.525    |
-| No log        | 8.0   | 344  | 1.6448          | 0.475    |
-| No log        | 9.0   | 387  | 1.5723          | 0.5563   |
-| No log        | 10.0  | 430  | 1.6059          | 0.5687   |
-| No log        | 11.0  | 473  | 1.7496          | 0.5062   |
-| 0.0962        | 12.0  | 516  | 1.8277          | 0.4562   |
-| 0.0962        | 13.0  | 559  | 1.6407          | 0.5375   |
-| 0.0962        | 14.0  | 602  | 1.5424          | 0.5312   |
-| 0.0962        | 15.0  | 645  | 1.6459          | 0.525    |
+| No log        | 1.0   | 43   | 1.7346          | 0.4313   |
+| No log        | 2.0   | 86   | 1.6677          | 0.45     |
+| No log        | 3.0   | 129  | 1.6176          | 0.4437   |
+| No log        | 4.0   | 172  | 1.5770          | 0.45     |
+| No log        | 5.0   | 215  | 1.5422          | 0.5125   |
+| No log        | 6.0   | 258  | 1.4992          | 0.5      |
+| No log        | 7.0   | 301  | 1.4668          | 0.5188   |
+| No log        | 8.0   | 344  | 1.4827          | 0.5188   |
+| No log        | 9.0   | 387  | 1.4713          | 0.4562   |
+| No log        | 10.0  | 430  | 1.4485          | 0.525    |
+| No log        | 11.0  | 473  | 1.4462          | 0.5312   |
+| 1.4483        | 12.0  | 516  | 1.4416          | 0.4938   |
+| 1.4483        | 13.0  | 559  | 1.4164          | 0.5125   |
+| 1.4483        | 14.0  | 602  | 1.4330          | 0.4875   |
+| 1.4483        | 15.0  | 645  | 1.4070          | 0.5188   |
 
 
 ### Framework versions

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:ce31933c06dc5a06fd8b4e819c15db335bb8852f77a7487f46c9bf0911e02bc9
+oid sha256:c8bbb24556d1293127d0c28564771bf4d74b4a8b0f822708b7f29f51b4c2c88d
 size 343287149