Model save

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: F1
       type: f1
-      value: 0.5826771653543307
+      value: 0.7716535433070866
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,8 +32,8 @@ 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 imagefolder dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.2405
-- F1: 0.5827
+- Loss: 0.8842
+- F1: 0.7717
 
 ## Model description
 
@@ -61,17 +61,22 @@ 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: 5
+- num_epochs: 10
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 1.6895        | 0.98  | 35   | 1.6280          | 0.3071 |
-| 1.5008        | 1.99  | 71   | 1.4788          | 0.4567 |
-| 1.391         | 2.99  | 107  | 1.3259          | 0.5276 |
-| 1.3027        | 4.0   | 143  | 1.2612          | 0.5669 |
-| 1.2754        | 4.9   | 175  | 1.2405          | 0.5827 |
+| 1.731         | 0.98  | 35   | 1.6748          | 0.3386 |
+| 1.5196        | 1.99  | 71   | 1.4890          | 0.4173 |
+| 1.3727        | 2.99  | 107  | 1.2938          | 0.5276 |
+| 1.2194        | 4.0   | 143  | 1.1519          | 0.6457 |
+| 1.1538        | 4.98  | 178  | 1.0544          | 0.6693 |
+| 1.0379        | 5.99  | 214  | 0.9852          | 0.7165 |
+| 1.0232        | 6.99  | 250  | 0.9439          | 0.7323 |
+| 0.9586        | 8.0   | 286  | 0.9136          | 0.7480 |
+| 0.9374        | 8.98  | 321  | 0.8946          | 0.7638 |
+| 0.96          | 9.79  | 350  | 0.8842          | 0.7717 |
 
 
 ### Framework versions