update model card README.md

README.md

@@ -3,7 +3,7 @@ license: apache-2.0
 tags:
 - generated_from_trainer
 metrics:
-- f1
+- accuracy
 model-index:
 - name: vit-base-patch16-224
   results: []
@@ -16,8 +16,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6731
-- F1: 0.0
+- Loss: 1.2817
+- Accuracy: 0.7205
 
 ## Model description
 
@@ -45,13 +45,22 @@ The following hyperparameters were used during training:
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_ratio: 0.1
-- num_epochs: 1
+- num_epochs: 10
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | F1  |
-|:-------------:|:-----:|:----:|:---------------:|:---:|
-| 0.7894        | 0.98  | 27   | 0.6731          | 0.0 |
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.8025        | 0.98  | 27   | 0.6852          | 0.6407   |
+| 0.5648        | 1.98  | 54   | 0.7587          | 0.6971   |
+| 0.2165        | 2.98  | 81   | 0.6410          | 0.7387   |
+| 0.0587        | 3.98  | 108  | 1.9350          | 0.5682   |
+| 0.041         | 4.98  | 135  | 0.9925          | 0.7348   |
+| 0.013         | 5.98  | 162  | 1.3159          | 0.6980   |
+| 0.025         | 6.98  | 189  | 1.4855          | 0.7456   |
+| 0.0243        | 7.98  | 216  | 1.4230          | 0.7489   |
+| 0.0016        | 8.98  | 243  | 1.2937          | 0.7117   |
+| 0.0026        | 9.98  | 270  | 1.2817          | 0.7205   |
 
 
 ### Framework versions