End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.6153846153846154
+      value: 0.5769230769230769
 ---
 
 <!-- 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: 0.9681
-- Accuracy: 0.6154
+- Loss: 0.6732
+- Accuracy: 0.5769
 
 ## Model description
 
@@ -61,15 +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: 3
+- num_epochs: 10
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 0.92  | 3    | 1.0331          | 0.7115   |
-| No log        | 1.85  | 6    | 0.9914          | 0.6154   |
-| No log        | 2.77  | 9    | 0.9681          | 0.6154   |
+| No log        | 0.92  | 3    | 0.9430          | 0.5192   |
+| No log        | 1.85  | 6    | 0.8598          | 0.5192   |
+| No log        | 2.77  | 9    | 0.8143          | 0.5385   |
+| 0.8078        | 4.0   | 13   | 0.7628          | 0.5769   |
+| 0.8078        | 4.92  | 16   | 0.7219          | 0.5962   |
+| 0.8078        | 5.85  | 19   | 0.7136          | 0.5769   |
+| 0.6318        | 6.77  | 22   | 0.6864          | 0.5577   |
+| 0.6318        | 8.0   | 26   | 0.6818          | 0.6154   |
+| 0.6318        | 8.92  | 29   | 0.6382          | 0.6346   |
+| 0.5386        | 9.23  | 30   | 0.6732          | 0.5769   |
 
 
 ### Framework versions

model.safetensors

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training_args.bin

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