wav2vec2-base-100k-voxpopuli-finetuned-gtzan
This model is a fine-tuned version of facebook/wav2vec2-base-100k-voxpopuli on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.9408
- Accuracy: 0.86
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: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 20
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 225 | 2.1672 | 0.3 |
| 2.1675 | 2.0 | 450 | 2.0095 | 0.29 |
| 2.1675 | 3.0 | 675 | 1.7326 | 0.29 |
| 1.7199 | 4.0 | 900 | 1.4980 | 0.49 |
| 1.7199 | 5.0 | 1125 | 1.4088 | 0.37 |
| 1.3585 | 6.0 | 1350 | 1.2238 | 0.54 |
| 1.3585 | 7.0 | 1575 | 1.3579 | 0.52 |
| 1.0599 | 8.0 | 1800 | 0.9954 | 0.62 |
| 1.0599 | 9.0 | 2025 | 0.9543 | 0.73 |
| 0.8337 | 10.0 | 2250 | 0.9428 | 0.76 |
| 0.8337 | 11.0 | 2475 | 0.8810 | 0.78 |
| 0.5861 | 12.0 | 2700 | 0.7753 | 0.76 |
| 0.5861 | 13.0 | 2925 | 0.9981 | 0.74 |
| 0.3662 | 14.0 | 3150 | 1.1597 | 0.77 |
| 0.3662 | 15.0 | 3375 | 1.0466 | 0.79 |
| 0.277 | 16.0 | 3600 | 1.0763 | 0.81 |
| 0.277 | 17.0 | 3825 | 0.8407 | 0.87 |
| 0.1731 | 18.0 | 4050 | 0.9317 | 0.86 |
| 0.1731 | 19.0 | 4275 | 0.8545 | 0.87 |
| 0.1489 | 20.0 | 4500 | 0.9408 | 0.86 |
Framework versions
- Transformers 4.17.0
- Pytorch 1.10.2
- Datasets 1.18.4
- Tokenizers 0.11.6