Model save

README.md

@@ -3,6 +3,8 @@ license: apache-2.0
 base_model: google/vit-base-patch16-224-in21k
 tags:
 - generated_from_trainer
+metrics:
+- accuracy
 model-index:
 - name: vit-base-gpu
   results: []
@@ -15,7 +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: 0.1081
+- Loss: 0.1178
+- Accuracy: 0.9736
+- Confusion Matrix: [[60, 6], [0, 161]]
 
 ## Model description
 
@@ -45,10 +49,10 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch  | Step | Validation Loss |
-|:-------------:|:------:|:----:|:---------------:|
-| 0.1209        | 1.7544 | 100  | 0.1553          |
-| 0.0911        | 3.5088 | 200  | 0.1081          |
+| Training Loss | Epoch  | Step | Validation Loss | Accuracy | Confusion Matrix    |
+|:-------------:|:------:|:----:|:---------------:|:--------:|:-------------------:|
+| 0.1265        | 1.7544 | 100  | 0.1686          | 0.9604   | [[57, 9], [0, 161]] |
+| 0.0911        | 3.5088 | 200  | 0.1178          | 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 sha256:1d4249b2495e42c1f74366d6683a86f34744e2f085d58ea3b28b29f73f47bbe5
 size 343223968