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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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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: JLB-JLB/seizure_eeg_greyscale_224x224_6secWindow |
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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: 0.41096197273922397 |
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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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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 JLB-JLB/seizure_eeg_greyscale_224x224_6secWindow dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1622 |
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- Matthews Correlation: 0.4110 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 0.0001 |
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- train_batch_size: 64 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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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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| 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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### Framework versions |
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- Transformers 4.34.1 |
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- Pytorch 2.1.0+cu118 |
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- Datasets 2.14.6 |
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- Tokenizers 0.14.1 |
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