cv-gender-classification-multi-3epoch
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: 0.1740
- Accuracy: 0.9258
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: 256
- eval_batch_size: 256
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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: 0.05
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.3034 | 0.3049 | 50 | 0.2878 | 0.8936 |
| 0.2311 | 0.6098 | 100 | 0.2003 | 0.9131 |
| 0.1995 | 0.9146 | 150 | 0.1876 | 0.9258 |
| 0.1939 | 1.2195 | 200 | 0.1741 | 0.9248 |
| 0.2005 | 1.5244 | 250 | 0.1783 | 0.9199 |
| 0.2132 | 1.8293 | 300 | 0.1772 | 0.9170 |
| 0.1646 | 2.1341 | 350 | 0.1769 | 0.9180 |
| 0.1673 | 2.4390 | 400 | 0.1725 | 0.9258 |
| 0.1888 | 2.7439 | 450 | 0.1740 | 0.9258 |
Framework versions
- Transformers 4.57.3
- Pytorch 2.9.0+cu126
- Datasets 4.4.2
- Tokenizers 0.22.1