wav2vec2-large-robust-ft-libri-960h-finetuned-ravdess-v3
This model is a fine-tuned version of facebook/wav2vec2-large-robust-ft-libri-960h on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.9736
- Accuracy: 0.6354
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: 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: 30
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 2.0795 | 1.0 | 18 | 2.0783 | 0.1007 |
| 2.0703 | 2.0 | 36 | 2.0743 | 0.1181 |
| 2.062 | 3.0 | 54 | 2.0632 | 0.1597 |
| 2.0444 | 4.0 | 72 | 2.0439 | 0.1910 |
| 2.0031 | 5.0 | 90 | 1.9762 | 0.2778 |
| 1.9632 | 6.0 | 108 | 1.8421 | 0.3576 |
| 1.8249 | 7.0 | 126 | 1.7072 | 0.3889 |
| 1.6733 | 8.0 | 144 | 1.5729 | 0.3819 |
| 1.5452 | 9.0 | 162 | 1.4826 | 0.4201 |
| 1.4479 | 10.0 | 180 | 1.4214 | 0.4236 |
| 1.443 | 11.0 | 198 | 1.3441 | 0.4340 |
| 1.3341 | 12.0 | 216 | 1.3241 | 0.5 |
| 1.2697 | 13.0 | 234 | 1.2810 | 0.5069 |
| 1.2348 | 14.0 | 252 | 1.2349 | 0.5069 |
| 1.1785 | 15.0 | 270 | 1.1948 | 0.5208 |
| 1.1687 | 16.0 | 288 | 1.1831 | 0.5451 |
| 1.1168 | 17.0 | 306 | 1.1481 | 0.5764 |
| 1.0975 | 18.0 | 324 | 1.1342 | 0.5764 |
| 1.0491 | 19.0 | 342 | 1.1138 | 0.6146 |
| 1.033 | 20.0 | 360 | 1.0800 | 0.6146 |
| 1.0523 | 21.0 | 378 | 1.0678 | 0.6146 |
| 1.0136 | 22.0 | 396 | 1.0472 | 0.6111 |
| 0.9777 | 23.0 | 414 | 1.0175 | 0.6111 |
| 1.0007 | 24.0 | 432 | 1.0703 | 0.6215 |
| 0.9584 | 25.0 | 450 | 0.9935 | 0.6181 |
| 0.9102 | 26.0 | 468 | 0.9736 | 0.6354 |
| 0.9101 | 27.0 | 486 | 0.9758 | 0.6285 |
| 0.9405 | 28.0 | 504 | 0.9659 | 0.6319 |
| 0.9366 | 29.0 | 522 | 0.9719 | 0.625 |
| 0.9498 | 30.0 | 540 | 0.9713 | 0.6215 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3