End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.6216216216216216
+      value: 0.8378378378378378
 ---
 
 <!-- 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: 1.2139
-- Accuracy: 0.6216
+- Loss: 0.5827
+- Accuracy: 0.8378
 
 ## Model description
 
@@ -61,22 +61,32 @@ 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: 20
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 7    | 1.7432          | 0.2523   |
-| 1.72          | 2.0   | 14   | 1.6705          | 0.4054   |
-| 1.5859        | 3.0   | 21   | 1.5654          | 0.4505   |
-| 1.5859        | 4.0   | 28   | 1.4596          | 0.5405   |
-| 1.4133        | 5.0   | 35   | 1.3834          | 0.5856   |
-| 1.2868        | 6.0   | 42   | 1.3176          | 0.6306   |
-| 1.2868        | 7.0   | 49   | 1.2853          | 0.6216   |
-| 1.1612        | 8.0   | 56   | 1.2133          | 0.6757   |
-| 1.1135        | 9.0   | 63   | 1.1885          | 0.7117   |
-| 1.0537        | 10.0  | 70   | 1.2139          | 0.6216   |
+| No log        | 1.0   | 7    | 1.1069          | 0.7207   |
+| 1.0143        | 2.0   | 14   | 1.0853          | 0.7117   |
+| 0.9148        | 3.0   | 21   | 0.9472          | 0.7297   |
+| 0.9148        | 4.0   | 28   | 0.8859          | 0.7568   |
+| 0.7721        | 5.0   | 35   | 0.8500          | 0.7658   |
+| 0.71          | 6.0   | 42   | 0.7973          | 0.8108   |
+| 0.71          | 7.0   | 49   | 0.8040          | 0.7748   |
+| 0.641         | 8.0   | 56   | 0.8344          | 0.7207   |
+| 0.6122        | 9.0   | 63   | 0.7528          | 0.7748   |
+| 0.5698        | 10.0  | 70   | 0.8087          | 0.7748   |
+| 0.5698        | 11.0  | 77   | 0.7347          | 0.7838   |
+| 0.5329        | 12.0  | 84   | 0.6237          | 0.8288   |
+| 0.5264        | 13.0  | 91   | 0.6135          | 0.8378   |
+| 0.5264        | 14.0  | 98   | 0.7670          | 0.7568   |
+| 0.4846        | 15.0  | 105  | 0.6465          | 0.8288   |
+| 0.4597        | 16.0  | 112  | 0.6354          | 0.8288   |
+| 0.4597        | 17.0  | 119  | 0.7096          | 0.7838   |
+| 0.409         | 18.0  | 126  | 0.6364          | 0.8468   |
+| 0.4321        | 19.0  | 133  | 0.6343          | 0.8108   |
+| 0.4309        | 20.0  | 140  | 0.5827          | 0.8378   |
 
 
 ### Framework versions

model.safetensors

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 size 343236280

runs/Apr02_06-39-46_8755b0264da7/events.out.tfevents.1712039989.8755b0264da7.310.2

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+size 14403

training_args.bin

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 size 4920