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-pt22k-ft22k](https://huggingface.co/microsoft/beit-base-patch16-224-pt22k-ft22k) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.0810
-- Accuracy: 0.5833
+- Loss: 1.1099
+- Accuracy: 0.5880
 
 ## Model description
 
@@ -52,12 +52,12 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch  | Step | Validation Loss | Accuracy |
 |:-------------:|:------:|:----:|:---------------:|:--------:|
-| 1.9515        | 0.9836 | 15   | 1.3559          | 0.4259   |
-| 1.1593        | 1.9672 | 30   | 1.1501          | 0.5648   |
-| 1.0288        | 2.9508 | 45   | 1.1121          | 0.5463   |
-| 0.8302        | 4.0    | 61   | 1.1271          | 0.5741   |
-| 0.7957        | 4.9836 | 76   | 1.0560          | 0.5926   |
-| 0.7633        | 5.9016 | 90   | 1.0810          | 0.5833   |
+| 1.8533        | 0.9630 | 13   | 1.4568          | 0.4259   |
+| 1.4844        | 2.0    | 27   | 1.2233          | 0.5417   |
+| 1.1179        | 2.9630 | 40   | 1.1893          | 0.5509   |
+| 1.0325        | 4.0    | 54   | 1.1467          | 0.5833   |
+| 0.9755        | 4.9630 | 67   | 1.1300          | 0.5926   |
+| 0.8969        | 5.7778 | 78   | 1.1099          | 0.5880   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:ee5064a1c55f3a5f7bb6578beff3eede312f561ee5493382bfcc287cb42f88f9
+oid sha256:fd21272db0791c34a1ccf83006eb18691ea758f241bea030dedc5103f1893e2b
 size 343098784