starrail-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: 0.1142
- Accuracy: 0.9639
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 |
|---|---|---|---|---|
| 0.2321 | 0.3650 | 50 | 0.2255 | 0.9434 |
| 0.1649 | 0.7299 | 100 | 0.1519 | 0.9561 |
| 0.1516 | 1.0949 | 150 | 0.1245 | 0.9629 |
| 0.1172 | 1.4599 | 200 | 0.1211 | 0.9629 |
| 0.1213 | 1.8248 | 250 | 0.1142 | 0.9648 |
| 0.1143 | 2.1898 | 300 | 0.1144 | 0.9658 |
| 0.1228 | 2.5547 | 350 | 0.1142 | 0.9639 |
| 0.1002 | 2.9197 | 400 | 0.1142 | 0.9639 |
Framework versions
- Transformers 4.57.3
- Pytorch 2.9.0+cu126
- Datasets 4.4.2
- Tokenizers 0.22.1