Model save

README.md

@@ -17,9 +17,9 @@ 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: 0.1098
-- Accuracy: 0.9780
-- Confusion Matrix: [[61, 5], [0, 161]]
+- Loss: 0.1144
+- Accuracy: 0.9736
+- Confusion Matrix: [[60, 6], [0, 161]]
 
 ## Model description
 
@@ -51,8 +51,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch  | Step | Validation Loss | Accuracy | Confusion Matrix    |
 |:-------------:|:------:|:----:|:---------------:|:--------:|:-------------------:|
-| 0.1364        | 1.7544 | 100  | 0.1597          | 0.9692   | [[59, 7], [0, 161]] |
-| 0.097         | 3.5088 | 200  | 0.1098          | 0.9780   | [[61, 5], [0, 161]] |
+| 0.1284        | 1.7544 | 100  | 0.1683          | 0.9648   | [[58, 8], [0, 161]] |
+| 0.0943        | 3.5088 | 200  | 0.1144          | 0.9736   | [[60, 6], [0, 161]] |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:9d005b033261ad9b5a8351a6e8b991e8398b909336b5ab22a137890f70cb23f2
 size 343223968