Model save
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README.md
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---
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license: apache-2.0
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base_model: google/vit-base-patch16-224-in21k
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tags:
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- generated_from_trainer
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model-index:
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- name: seizure_vit_jlb_231108_iir_adjusted
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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
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should probably proofread and complete it, then remove this comment. -->
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# seizure_vit_jlb_231108_iir_adjusted
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This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.8152
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- Roc Auc: 0.7587
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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: 1e-05
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- train_batch_size: 32
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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: 5
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Roc Auc |
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|:-------------:|:-----:|:-----:|:---------------:|:-------:|
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| 0.3803 | 0.34 | 1000 | 0.4734 | 0.7746 |
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| 0.3456 | 0.68 | 2000 | 0.4863 | 0.7782 |
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| 0.2831 | 1.02 | 3000 | 0.4817 | 0.7897 |
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| 0.2781 | 1.36 | 4000 | 0.5418 | 0.7656 |
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| 0.2355 | 1.7 | 5000 | 0.5398 | 0.7786 |
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| 0.1978 | 2.04 | 6000 | 0.6121 | 0.7649 |
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| 0.149 | 2.38 | 7000 | 0.6402 | 0.7706 |
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| 0.1766 | 2.72 | 8000 | 0.6768 | 0.7610 |
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| 0.1496 | 3.06 | 9000 | 0.6239 | 0.7733 |
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| 0.155 | 3.4 | 10000 | 0.7333 | 0.7602 |
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| 0.1238 | 3.75 | 11000 | 0.6513 | 0.7726 |
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| 0.1054 | 4.09 | 12000 | 0.7551 | 0.7667 |
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| 0.1076 | 4.43 | 13000 | 0.8132 | 0.7627 |
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| 0.1321 | 4.77 | 14000 | 0.8152 | 0.7587 |
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### Framework versions
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- Transformers 4.35.0
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- Pytorch 2.1.0
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- Datasets 2.14.6
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- Tokenizers 0.14.1
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model.safetensors
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runs/Nov08_17-16-21_3ee6a63ee779/events.out.tfevents.1699463792.3ee6a63ee779
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