ultimate_wav2vec2_aug
This model is a fine-tuned version of OK923/ultimate_wav2vec2_aug on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2547
- Wer: 0.3097
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: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- 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_steps: 500
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.2218 | 1.2784 | 400 | 0.3270 | 0.3128 |
| 0.2672 | 2.5568 | 800 | 0.3120 | 0.3132 |
| 0.5434 | 3.0 | 939 | 0.2547 | 0.3097 |
Framework versions
- Transformers 5.16.1
- Pytorch 2.11.0+cu128
- Datasets 2.18.0
- Tokenizers 0.23.1