my_april11_2model
This model was trained from scratch on the audiofolder dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0066
- Accuracy: 1.0
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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- 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 |
|---|
| 0.0666 | 1.0 | 11 | 0.0336 | 1.0 |
| 0.0305 | 2.0 | 22 | 0.0206 | 1.0 |
| 0.1169 | 3.0 | 33 | 0.0145 | 1.0 |
| 0.1138 | 4.0 | 44 | 0.0114 | 1.0 |
| 0.0107 | 5.0 | 55 | 0.0093 | 1.0 |
| 0.0102 | 6.0 | 66 | 0.0080 | 1.0 |
| 0.0091 | 7.0 | 77 | 0.0072 | 1.0 |
| 0.0084 | 8.0 | 88 | 0.0068 | 1.0 |
| 0.0081 | 9.0 | 99 | 0.0066 | 1.0 |
| 0.0072 | 9.0952 | 100 | 0.0066 | 1.0 |
Framework versions
- Transformers 4.48.3
- Pytorch 2.5.1+cu124
- Datasets 3.5.0
- Tokenizers 0.21.0
