wav2vec2-base-gender-classification
This model is a fine-tuned version of facebook/wav2vec2-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0438
- Accuracy: 0.9892
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: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 6
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.1586 | 1.0 | 87 | 0.1227 | 0.9720 |
| 0.1048 | 1.99 | 174 | 0.1123 | 0.9717 |
| 0.0975 | 2.99 | 261 | 0.1082 | 0.9738 |
| 0.0629 | 4.0 | 349 | 0.0857 | 0.9813 |
| 0.0449 | 5.0 | 436 | 0.0555 | 0.9878 |
| 0.0279 | 5.98 | 522 | 0.0438 | 0.9892 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.2.0
- Datasets 2.17.0
- Tokenizers 0.15.2