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  1. README.md +30 -11
  2. pytorch_model.bin +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
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  ---
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- base_model: /content/drive/MyDrive/Seizure_EEG_Research/ViT_Seizure_Detection
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  tags:
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- - image-classification
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  - generated_from_trainer
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  datasets:
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  - arrow
 
 
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  model-index:
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  - name: ViT_Seizure_Detection
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- results: []
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -15,15 +28,10 @@ should probably proofread and complete it, then remove this comment. -->
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  # ViT_Seizure_Detection
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- This model is a fine-tuned version of [/content/drive/MyDrive/Seizure_EEG_Research/ViT_Seizure_Detection](https://huggingface.co//content/drive/MyDrive/Seizure_EEG_Research/ViT_Seizure_Detection) on the beans dataset.
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  It achieves the following results on the evaluation set:
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- - eval_loss: 0.3040
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- - eval_matthews_correlation: 0.4261
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- - eval_runtime: 1091.8559
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- - eval_samples_per_second: 104.441
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- - eval_steps_per_second: 13.056
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- - epoch: 3.14
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- - step: 40000
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  ## Model description
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  - lr_scheduler_type: linear
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  - num_epochs: 4
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  ### Framework versions
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  - Transformers 4.34.1
 
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  ---
 
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  tags:
 
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  - generated_from_trainer
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  datasets:
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  - arrow
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+ metrics:
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+ - matthews_correlation
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  model-index:
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  - name: ViT_Seizure_Detection
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+ results:
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+ - task:
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+ name: Image Classification
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+ type: image-classification
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+ dataset:
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+ name: arrow
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+ type: arrow
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+ config: default
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+ split: test
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+ args: default
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+ metrics:
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+ - name: Matthews Correlation
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+ type: matthews_correlation
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+ value: 0.4389188148304588
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
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  # ViT_Seizure_Detection
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+ This model was trained from scratch on the arrow dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.3495
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+ - Matthews Correlation: 0.4389
 
 
 
 
 
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  ## Model description
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  - lr_scheduler_type: linear
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  - num_epochs: 4
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Matthews Correlation |
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+ |:-------------:|:-----:|:-----:|:---------------:|:--------------------:|
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+ | 0.0742 | 0.79 | 10000 | 0.2080 | 0.4431 |
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+ | 0.0409 | 1.57 | 20000 | 0.2175 | 0.4470 |
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+ | 0.0345 | 2.36 | 30000 | 0.2514 | 0.4717 |
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+ | 0.0184 | 3.14 | 40000 | 0.3040 | 0.4261 |
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+ | 0.0092 | 3.93 | 50000 | 0.3495 | 0.4389 |
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+
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+
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  ### Framework versions
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  - Transformers 4.34.1
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