Model save

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Matthews Correlation
       type: matthews_correlation
-      value: 0.9888040854737966
+      value: 0.9888050243347044
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,7 +32,7 @@ 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 the beans dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0504
+- Loss: 0.0171
 - Matthews Correlation: 0.9888
 
 ## Model description
@@ -64,10 +64,10 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Matthews Correlation |
 |:-------------:|:-----:|:----:|:---------------:|:--------------------:|
-| 0.0958        | 0.91  | 30   | 0.0302          | 0.9888               |
-| 0.0289        | 1.82  | 60   | 0.0458          | 0.9888               |
-| 0.0085        | 2.73  | 90   | 0.0503          | 0.9888               |
-| 0.0065        | 3.64  | 120  | 0.0504          | 0.9888               |
+| 0.0488        | 0.91  | 30   | 0.1366          | 0.9449               |
+| 0.0077        | 1.82  | 60   | 0.0508          | 0.9775               |
+| 0.0057        | 2.73  | 90   | 0.0366          | 0.9888               |
+| 0.0042        | 3.64  | 120  | 0.0171          | 0.9888               |
 
 
 ### Framework versions

pytorch_model.bin

@@ -1,3 +1,3 @@
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+oid sha256:67b9469d169f377e895430f3db2de9f63fe8ec369d24ad2a18f8ce1b1dfbb15f
 size 343272234