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_U_43275873
results: []
SeizureClassifier_AST_U_43275873
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: 0.0052
- Accuracy: 0.9990
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 |
|---|---|---|---|---|
| 0.0222 | 1.0 | 339 | 0.0859 | 0.9761 |
| 0.0242 | 2.0 | 678 | 0.0091 | 0.9977 |
| 0.0033 | 3.0 | 1017 | 0.0198 | 0.9932 |
| 0.0171 | 4.0 | 1357 | 0.0242 | 0.9945 |
| 0.0212 | 5.0 | 1696 | 0.0079 | 0.9990 |
| 0.0 | 6.0 | 2035 | 0.0095 | 0.9984 |
| 0.0 | 7.0 | 2374 | 0.0047 | 0.9990 |
| 0.0 | 8.0 | 2714 | 0.0048 | 0.9990 |
| 0.0 | 9.0 | 3053 | 0.0048 | 0.9990 |
| 0.0 | 10.0 | 3392 | 0.0050 | 0.9990 |
| 0.0 | 11.0 | 3731 | 0.0050 | 0.9990 |
| 0.0 | 12.0 | 4071 | 0.0051 | 0.9990 |
| 0.0 | 13.0 | 4410 | 0.0051 | 0.9990 |
| 0.0 | 14.0 | 4749 | 0.0052 | 0.9990 |
| 0.0 | 14.99 | 5085 | 0.0052 | 0.9990 |
Framework versions
- Transformers 4.32.1
- Pytorch 2.1.2
- Datasets 2.16.1
- Tokenizers 0.13.3