Model save

README.md

@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [microsoft/beit-base-patch16-224](https://huggingface.co/microsoft/beit-base-patch16-224) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0151
-- Accuracy: 1.0
+- Loss: 0.0675
+- Accuracy: 0.9843
 
 ## Model description
 
@@ -52,14 +52,14 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 0.93  | 7    | 0.5468          | 0.6190   |
-| 1.0237        | 2.0   | 15   | 0.1113          | 0.9619   |
-| 0.5329        | 2.93  | 22   | 0.0462          | 0.9714   |
-| 0.335         | 4.0   | 30   | 0.0151          | 1.0      |
-| 0.3359        | 4.93  | 37   | 0.1429          | 0.9429   |
-| 0.2794        | 6.0   | 45   | 0.0606          | 0.9619   |
-| 0.2937        | 6.93  | 52   | 0.0159          | 0.9905   |
-| 0.249         | 7.47  | 56   | 0.0184          | 0.9905   |
+| 1.0999        | 0.96  | 13   | 0.7987          | 0.6440   |
+| 0.6342        | 2.0   | 27   | 0.2414          | 0.9424   |
+| 0.4882        | 2.96  | 40   | 0.1646          | 0.9634   |
+| 0.463         | 4.0   | 54   | 0.2528          | 0.9424   |
+| 0.4609        | 4.96  | 67   | 0.1130          | 0.9791   |
+| 0.4251        | 6.0   | 81   | 0.1304          | 0.9634   |
+| 0.3802        | 6.96  | 94   | 0.0739          | 0.9843   |
+| 0.4147        | 7.7   | 104  | 0.0675          | 0.9843   |
 
 
 ### Framework versions

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:df7124d5dac87e16ea786b0023ad565aef650e2afc3b2a11216f4f980d776a1b
+oid sha256:1fae5d05cfcbd42c0321aeb94d95cccba3d72ce868e3aedb790b09fd5b1eec5f
 size 343130630