rio-model
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: 0.1567
- Accuracy: 0.96
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 with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10
Training results
Training Loss | Epoch | Step | Validation Loss | Accuracy |
---|---|---|---|---|
0.597 | 1.0 | 28 | 0.1618 | 0.92 |
0.1129 | 2.0 | 56 | 0.7487 | 0.8 |
0.0545 | 3.0 | 84 | 0.0181 | 1.0 |
0.001 | 4.0 | 112 | 0.7661 | 0.84 |
0.0003 | 5.0 | 140 | 0.1578 | 0.96 |
0.0001 | 6.0 | 168 | 0.1282 | 0.96 |
0.0001 | 7.0 | 196 | 0.1429 | 0.96 |
0.0 | 8.0 | 224 | 0.1519 | 0.96 |
0.0 | 9.0 | 252 | 0.1562 | 0.96 |
0.0 | 10.0 | 280 | 0.1567 | 0.96 |
Framework versions
- Transformers 4.51.3
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.21.1
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Base model
MIT/ast-finetuned-audioset-10-10-0.4593