VIT_SEIZURE_224x224_greyscale_6secWindow_231023
Browse files- README.md +7 -5
- all_results.json +13 -0
- eval_results.json +8 -0
- train_results.json +8 -0
- trainer_state.json +0 -0
README.md
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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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name: Image Classification
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type: image-classification
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dataset:
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name:
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type: arrow
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config: default
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split: test
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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.
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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
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Matthews Correlation: 0.
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## Model description
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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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name: Image Classification
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type: image-classification
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dataset:
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name: beans
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type: arrow
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config: default
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split: test
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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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# 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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- Loss: 0.1622
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- Matthews Correlation: 0.4110
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## Model description
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all_results.json
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{
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"epoch": 4.0,
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"eval_loss": 0.1622471660375595,
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"eval_matthews_correlation": 0.41096197273922397,
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"eval_runtime": 3886.261,
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"eval_samples_per_second": 100.402,
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"eval_steps_per_second": 12.55,
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"total_flos": 2.524899799855159e+20,
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"train_loss": 0.0028621005677307255,
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"train_runtime": 12160.5208,
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"train_samples_per_second": 267.939,
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"train_steps_per_second": 4.187
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}
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eval_results.json
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{
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"epoch": 4.0,
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"eval_loss": 0.1622471660375595,
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"eval_matthews_correlation": 0.41096197273922397,
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"eval_runtime": 3886.261,
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"eval_samples_per_second": 100.402,
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"eval_steps_per_second": 12.55
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}
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train_results.json
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{
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"epoch": 4.0,
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"total_flos": 2.524899799855159e+20,
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"train_loss": 0.0028621005677307255,
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"train_runtime": 12160.5208,
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"train_samples_per_second": 267.939,
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"train_steps_per_second": 4.187
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}
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trainer_state.json
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