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: 0.1137
-- Accuracy: 0.9692
-- Confusion Matrix: [[60, 6], [1, 160]]
+- Loss: 0.1093
+- Accuracy: 0.9736
+- Confusion Matrix: [[60, 6], [0, 161]]
 
 ## Model description
 
@@ -51,13 +51,13 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch  | Step | Validation Loss | Accuracy | Confusion Matrix    |
 |:-------------:|:------:|:----:|:---------------:|:--------:|:-------------------:|
-| 0.1251        | 1.7544 | 100  | 0.1513          | 0.9692   | [[59, 7], [0, 161]] |
-| 0.0895        | 3.5088 | 200  | 0.1137          | 0.9692   | [[60, 6], [1, 160]] |
+| 0.1208        | 1.7544 | 100  | 0.1628          | 0.9648   | [[58, 8], [0, 161]] |
+| 0.0908        | 3.5088 | 200  | 0.1093          | 0.9736   | [[60, 6], [0, 161]] |
 
 
 ### Framework versions
 
 - Transformers 4.42.4
-- Pytorch 2.3.1
+- Pytorch 2.4.0
 - Datasets 2.20.0
 - Tokenizers 0.19.1

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:d6046e452006c6aa095eabc7d7e8cd7567b41b5207b9e07f6e91d3b2740695ff
+oid sha256:6de759402701dad44fb50fbd3eb9874531ea142db1e8ddff45bfa86fe06f78a0
 size 343223968