metadata
license: bsd-3-clause
base_model: MIT/ast-finetuned-audioset-10-10-0.4593
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: SeizureClassifier_AST_B_43275870
results: []
SeizureClassifier_AST_B_43275870
This model is a fine-tuned version of MIT/ast-finetuned-audioset-10-10-0.4593 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0163
- Accuracy: 0.9975
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
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.2929 | 0.99 | 44 | 0.1468 | 0.9455 |
| 0.0774 | 1.99 | 88 | 0.1206 | 0.9629 |
| 0.0424 | 2.98 | 132 | 0.0863 | 0.9728 |
| 0.0359 | 4.0 | 177 | 0.0519 | 0.9802 |
| 0.0526 | 4.99 | 221 | 0.0088 | 0.9975 |
| 0.0028 | 5.99 | 265 | 0.0116 | 0.9926 |
| 0.0051 | 6.98 | 309 | 0.0214 | 0.9926 |
| 0.0004 | 8.0 | 354 | 0.0246 | 0.9975 |
| 0.0002 | 8.99 | 398 | 0.0233 | 0.9975 |
| 0.0 | 9.99 | 442 | 0.0205 | 0.9975 |
| 0.0 | 10.98 | 486 | 0.0183 | 0.9975 |
| 0.0 | 12.0 | 531 | 0.0171 | 0.9975 |
| 0.0 | 12.99 | 575 | 0.0166 | 0.9975 |
| 0.0 | 13.99 | 619 | 0.0164 | 0.9975 |
| 0.0 | 14.92 | 660 | 0.0163 | 0.9975 |
Framework versions
- Transformers 4.32.1
- Pytorch 2.1.2
- Datasets 2.16.1
- Tokenizers 0.13.3