Model save

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.7333333333333333
+      value: 0.725
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,8 +32,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [microsoft/beit-base-patch16-224-pt22k-ft22k](https://huggingface.co/microsoft/beit-base-patch16-224-pt22k-ft22k) on the imagefolder dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6372
-- Accuracy: 0.7333
+- Loss: 0.6259
+- Accuracy: 0.725
 
 ## Model description
 
@@ -67,9 +67,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 8    | 3.1591          | 0.7333   |
-| 5.12          | 2.0   | 16   | 2.6337          | 0.2667   |
-| 1.8305        | 3.0   | 24   | 0.6372          | 0.7333   |
+| No log        | 1.0   | 8    | 0.5894          | 0.725    |
+| 4.9271        | 2.0   | 16   | 0.5880          | 0.725    |
+| 1.7276        | 3.0   | 24   | 0.6259          | 0.725    |
 
 
 ### Framework versions

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:b8dca2f33100b0c793032eab623a608267124b6599da1e88ff2db2542afdaea9
 size 343130249