ViT_Seizure_Detection

This model is a fine-tuned version of /content/drive/MyDrive/Seizure_EEG_Research/ViT_Seizure_Detection on the JLB-JLB/seizure_eeg_greyscale_224x224_6secWindow dataset. It achieves the following results on the evaluation set:

• Loss: 0.1622
• Matthews Correlation: 0.4110

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 0.0001
• train_batch_size: 64
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 4

Training results

Training Loss	Epoch	Step	Validation Loss	Matthews Correlation
0.0742	0.79	10000	0.2080	0.4431
0.0409	1.57	20000	0.2175	0.4470
0.0345	2.36	30000	0.2514	0.4717
0.0184	3.14	40000	0.3040	0.4261
0.0092	3.93	50000	0.3495	0.4389

Framework versions

• Transformers 4.34.1
• Pytorch 2.1.0+cu118
• Datasets 2.14.6
• Tokenizers 0.14.1