End of training

README.md

@@ -5,9 +5,24 @@ tags:
 - generated_from_trainer
 datasets:
 - imagefolder
+metrics:
+- accuracy
 model-index:
 - name: chessdata-model
-  results: []
+  results:
+  - task:
+      name: Image Classification
+      type: image-classification
+    dataset:
+      name: imagefolder
+      type: imagefolder
+      config: default
+      split: train[:5000]
+      args: default
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.6216216216216216
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -16,6 +31,9 @@ should probably proofread and complete it, then remove this comment. -->
 # chessdata-model
 
 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
 
 ## Model description
 
@@ -43,13 +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: 1
+- num_epochs: 10
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 7    | 1.7751          | 0.2252   |
+| 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   |
 
 
 ### Framework versions

model.safetensors

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runs/Apr02_06-32-14_8755b0264da7/events.out.tfevents.1712039539.8755b0264da7.310.1

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training_args.bin

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