End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.1743119266055046
+      value: 0.3394495412844037
 ---
 
 <!-- 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: 3.1740
-- Accuracy: 0.1743
+- Loss: 2.7826
+- Accuracy: 0.3394
 
 ## Model description
 
@@ -61,22 +61,27 @@ 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: 10
+- num_epochs: 15
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 7    | 3.5703          | 0.0826   |
-| 3.5953        | 2.0   | 14   | 3.4340          | 0.0826   |
-| 3.3696        | 3.0   | 21   | 3.3687          | 0.0550   |
-| 3.3696        | 4.0   | 28   | 3.3127          | 0.1101   |
-| 3.2267        | 5.0   | 35   | 3.2651          | 0.1193   |
-| 3.156         | 6.0   | 42   | 3.2224          | 0.1284   |
-| 3.156         | 7.0   | 49   | 3.2147          | 0.1651   |
-| 3.0285        | 8.0   | 56   | 3.1623          | 0.2018   |
-| 2.9667        | 9.0   | 63   | 3.1621          | 0.2018   |
-| 2.914         | 10.0  | 70   | 3.1740          | 0.1743   |
+| No log        | 1.0   | 7    | 3.1387          | 0.2018   |
+| 2.8998        | 2.0   | 14   | 3.1029          | 0.2018   |
+| 2.7326        | 3.0   | 21   | 3.0453          | 0.2294   |
+| 2.7326        | 4.0   | 28   | 3.0104          | 0.2385   |
+| 2.5797        | 5.0   | 35   | 2.9655          | 0.2477   |
+| 2.4873        | 6.0   | 42   | 2.9166          | 0.3211   |
+| 2.4873        | 7.0   | 49   | 2.9122          | 0.2569   |
+| 2.3408        | 8.0   | 56   | 2.8122          | 0.3119   |
+| 2.2696        | 9.0   | 63   | 2.8159          | 0.3578   |
+| 2.1527        | 10.0  | 70   | 2.8589          | 0.2752   |
+| 2.1527        | 11.0  | 77   | 2.8248          | 0.2936   |
+| 2.0649        | 12.0  | 84   | 2.7709          | 0.2936   |
+| 2.0855        | 13.0  | 91   | 2.8183          | 0.2477   |
+| 2.0855        | 14.0  | 98   | 2.7552          | 0.2569   |
+| 1.9347        | 15.0  | 105  | 2.7826          | 0.3394   |
 
 
 ### Framework versions

model.safetensors

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 version https://git-lfs.github.com/spec/v1
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+oid sha256:a0ecf6c64e9c12493d7cdb868c476d1db0c9bdaf78cc46e6e05d9a5365531068
 size 343334720

runs/Nov23_16-15-01_fb30ba8f71ce/events.out.tfevents.1700756102.fb30ba8f71ce.27533.1

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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-size 11628
+oid sha256:9cbe144d8ecdabe930ff6ca257abf8d406c8174e7bf9bef69bdd98de38bb058a
+size 12447