update model card README.md

README.md

@@ -19,11 +19,11 @@ 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 an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.4406
-- Accuracy: 0.8705
-- F1: 0.8724
-- Precision: 0.8771
-- Recall: 0.8705
+- Loss: 0.6813
+- Accuracy: 0.8497
+- F1: 0.8487
+- Precision: 0.8530
+- Recall: 0.8497
 
 ## Model description
 
@@ -48,17 +48,19 @@ 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: 4
+- num_epochs: 6
 - mixed_precision_training: Native AMP
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Precision | Recall |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
-| 0.5676        | 1.0   | 626  | 0.5088          | 0.8342   | 0.8242 | 0.8626    | 0.8342 |
-| 0.4883        | 2.0   | 1252 | 0.4589          | 0.8446   | 0.8469 | 0.8512    | 0.8446 |
-| 0.3582        | 3.0   | 1878 | 0.3833          | 0.8601   | 0.8594 | 0.8740    | 0.8601 |
-| 0.0953        | 4.0   | 2504 | 0.4406          | 0.8705   | 0.8724 | 0.8771    | 0.8705 |
+| 0.4952        | 1.0   | 626  | 0.5520          | 0.8083   | 0.8152 | 0.8906    | 0.8083 |
+| 0.406         | 2.0   | 1252 | 0.4405          | 0.8808   | 0.8740 | 0.8807    | 0.8808 |
+| 0.3248        | 3.0   | 1878 | 0.4204          | 0.8446   | 0.8349 | 0.8381    | 0.8446 |
+| 0.1064        | 4.0   | 2504 | 0.6135          | 0.8446   | 0.8375 | 0.8336    | 0.8446 |
+| 0.0053        | 5.0   | 3130 | 0.5843          | 0.8705   | 0.8716 | 0.8762    | 0.8705 |
+| 0.0024        | 6.0   | 3756 | 0.6813          | 0.8497   | 0.8487 | 0.8530    | 0.8497 |
 
 
 ### Framework versions