Model save

README.md

@@ -33,7 +33,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [google/vit-large-patch16-224](https://huggingface.co/google/vit-large-patch16-224) on the imagefolder dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1037
+- Loss: 0.1657
 - Accuracy: 0.9444
 
 ## Model description
@@ -69,9 +69,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch   | Step | Validation Loss | Accuracy |
 |:-------------:|:-------:|:----:|:---------------:|:--------:|
-| 0.6594        | 6.5714  | 10   | 0.1763          | 0.9444   |
-| 0.0216        | 13.2857 | 20   | 0.0797          | 0.9444   |
-| 0.001         | 19.8571 | 30   | 0.1037          | 0.9444   |
+| 0.0008        | 6.5714  | 10   | 0.1917          | 0.9444   |
+| 0.0           | 13.2857 | 20   | 0.1489          | 0.9444   |
+| 0.0           | 19.8571 | 30   | 0.1657          | 0.9444   |
 
 
 ### Framework versions

model.safetensors

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+oid sha256:242a7684faf8a85b9c0272cf3999b39f285ba10813710692c2c54756a6a5fe78
 size 1213265372

runs/Nov13_19-40-09_479382b518a1/events.out.tfevents.1731526818.479382b518a1.957.2

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:102f2be3c9dda295d7d80d53ae304d121e90e0ce46ada77f22294d929a67546a
+size 7144