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 [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3486
-- F1: 0.7184
+- Loss: 0.1143
+- F1: 0.8957
 
 ## Model description
 
@@ -43,14 +43,17 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 1
+- num_epochs: 4
 - mixed_precision_training: Native AMP
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 0.432         | 1.0   | 238  | 0.3486          | 0.7184 |
+| 0.3758        | 1.0   | 238  | 0.2390          | 0.7505 |
+| 0.2044        | 2.0   | 476  | 0.1605          | 0.8798 |
+| 0.133         | 3.0   | 714  | 0.1221          | 0.8957 |
+| 0.0942        | 4.0   | 952  | 0.1143          | 0.8957 |
 
 
 ### Framework versions