Model save

README.md

@@ -26,7 +26,7 @@ model-index:
       value: 0.592
     - name: F1
       type: f1
-      value: 0.43854957441913966
+      value: 0.4602437417654809
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -36,9 +36,9 @@ 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 the imagefolder dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.8979
+- Loss: 0.8401
 - Accuracy: 0.592
-- F1: 0.4385
+- F1: 0.4602
 
 ## Model description
 
@@ -69,17 +69,17 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| No log        | 5.0   | 20   | 2.0563          | 0.512    | 0.2812 |
-| No log        | 10.0  | 40   | 1.4346          | 0.576    | 0.3752 |
-| 2.1474        | 15.0  | 60   | 1.3222          | 0.576    | 0.3873 |
-| 2.1474        | 20.0  | 80   | 1.2946          | 0.576    | 0.3880 |
-| 1.2873        | 25.0  | 100  | 1.0957          | 0.6      | 0.4013 |
-| 1.2873        | 30.0  | 120  | 0.8979          | 0.592    | 0.4385 |
+| 3.5336        | 5.0   | 20   | 2.5430          | 0.472    | 0.2688 |
+| 1.952         | 10.0  | 40   | 1.4687          | 0.576    | 0.3690 |
+| 1.3471        | 15.0  | 60   | 1.2750          | 0.584    | 0.3858 |
+| 1.2688        | 20.0  | 80   | 1.2295          | 0.576    | 0.3823 |
+| 1.1444        | 25.0  | 100  | 0.9876          | 0.592    | 0.3849 |
+| 0.9511        | 30.0  | 120  | 0.8401          | 0.592    | 0.4602 |
 
 
 ### Framework versions
 
 - Transformers 4.37.2
 - Pytorch 2.1.0+cu121
-- Datasets 2.16.1
+- Datasets 2.17.0
 - Tokenizers 0.15.1