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---
license: apache-2.0
base_model: facebook/wav2vec2-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: SeizureClassifier_Wav2Vec_U_43828667
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# SeizureClassifier_Wav2Vec_U_43828667
This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0102
- Accuracy: 0.9984
## 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: 3e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 15
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.1571 | 1.0 | 339 | 0.1531 | 0.9665 |
| 0.0698 | 2.0 | 678 | 0.0642 | 0.9810 |
| 0.0265 | 3.0 | 1017 | 0.0340 | 0.9926 |
| 0.04 | 4.0 | 1357 | 0.0290 | 0.9903 |
| 0.0028 | 5.0 | 1696 | 0.0285 | 0.9942 |
| 0.0014 | 6.0 | 2035 | 0.0185 | 0.9965 |
| 0.0009 | 7.0 | 2374 | 0.0281 | 0.9955 |
| 0.0208 | 8.0 | 2714 | 0.0154 | 0.9974 |
| 0.0006 | 9.0 | 3053 | 0.0205 | 0.9968 |
| 0.0004 | 10.0 | 3392 | 0.0165 | 0.9974 |
| 0.0003 | 11.0 | 3731 | 0.0124 | 0.9977 |
| 0.0003 | 12.0 | 4071 | 0.0171 | 0.9971 |
| 0.0095 | 13.0 | 4410 | 0.0140 | 0.9971 |
| 0.0002 | 14.0 | 4749 | 0.0123 | 0.9984 |
| 0.0002 | 14.99 | 5085 | 0.0102 | 0.9984 |
### Framework versions
- Transformers 4.36.2
- Pytorch 2.1.2+cu118
- Datasets 2.16.1
- Tokenizers 0.15.0
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