Model save

README.md

@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2199
-- Accuracy: 0.9405
+- Loss: 0.2048
+- Accuracy: 0.9432
 
 ## Model description
 
@@ -49,11 +49,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 1.7898        | 1.0   | 185  | 0.3908          | 0.9134   |
-| 0.3065        | 2.0   | 370  | 0.2685          | 0.9269   |
-| 0.2189        | 3.0   | 555  | 0.2441          | 0.9337   |
-| 0.1884        | 4.0   | 740  | 0.2332          | 0.9310   |
-| 0.1769        | 5.0   | 925  | 0.2286          | 0.9364   |
+| 1.7025        | 1.0   | 185  | 0.3849          | 0.9242   |
+| 0.2944        | 2.0   | 370  | 0.2704          | 0.9337   |
+| 0.2129        | 3.0   | 555  | 0.2417          | 0.9378   |
+| 0.1761        | 4.0   | 740  | 0.2305          | 0.9350   |
+| 0.157         | 5.0   | 925  | 0.2281          | 0.9378   |
 
 
 ### Framework versions

runs/Dec14_19-33-51_145c21892219/events.out.tfevents.1702583123.145c21892219.4031.1

@@ -0,0 +1,3 @@
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+oid sha256:c4b075506d1e5c1b20a68cd85e4047764fed1e35557b2afad060759b32dc234b
+size 411