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: 0.1081
+- Loss: 0.1166
 - Accuracy: 0.9780
-- Confusion Matrix: [[62, 4], [1, 160]]
+- Confusion Matrix: [[61, 5], [0, 161]]
 
 ## Model description
 
@@ -51,8 +51,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch  | Step | Validation Loss | Accuracy | Confusion Matrix    |
 |:-------------:|:------:|:----:|:---------------:|:--------:|:-------------------:|
-| 0.1277        | 1.7544 | 100  | 0.1541          | 0.9692   | [[59, 7], [0, 161]] |
-| 0.0893        | 3.5088 | 200  | 0.1081          | 0.9780   | [[62, 4], [1, 160]] |
+| 0.1493        | 1.7544 | 100  | 0.1794          | 0.9648   | [[58, 8], [0, 161]] |
+| 0.1001        | 3.5088 | 200  | 0.1166          | 0.9780   | [[61, 5], [0, 161]] |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:d930076db1cb18dff30bd66fad047dc6c96766081a0805a4b11d7eade30c1ace
+oid sha256:66ee3f61e20dc2ebbd33f11cf14028f514cbd8973a4f7919681cc6cc2f345f17
 size 343223968