metadata
library_name: transformers
license: bsd-3-clause
base_model: MIT/ast-finetuned-audioset-10-10-0.4593
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: voiced_pathology
results: []
voiced_pathology
This model is a fine-tuned version of MIT/ast-finetuned-audioset-10-10-0.4593 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.1422
- Accuracy: 0.3095
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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 21 | 2.3713 | 0.1905 |
| No log | 2.0 | 42 | 1.3738 | 0.2143 |
| No log | 3.0 | 63 | 1.3843 | 0.3333 |
| No log | 4.0 | 84 | 1.7123 | 0.4048 |
| No log | 5.0 | 105 | 2.0619 | 0.3095 |
| No log | 6.0 | 126 | 2.1451 | 0.3333 |
| No log | 7.0 | 147 | 2.5940 | 0.3095 |
| No log | 8.0 | 168 | 2.7798 | 0.2619 |
| No log | 9.0 | 189 | 3.0970 | 0.2619 |
| No log | 10.0 | 210 | 3.1422 | 0.3095 |
Framework versions
- Transformers 4.57.0
- Pytorch 2.8.0+cu126
- Datasets 4.2.0
- Tokenizers 0.22.1