wav2vec2-base-timit-phoneme
This model is a fine-tuned version of facebook/wav2vec2-base on the timit_asr dataset. It achieves the following results on the evaluation set:
- Loss: 6.2366
- Per: 0.9535
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: 0.0001
- train_batch_size: 16
- eval_batch_size: 8
- 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_steps: 1000
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Per |
|---|---|---|---|---|
| No log | 1.0 | 13 | 6.8820 | 0.9999 |
| No log | 2.0 | 26 | 6.6526 | 0.9978 |
| No log | 3.0 | 39 | 6.2366 | 0.9535 |
Framework versions
- Transformers 4.56.2
- Pytorch 2.8.0+cu126
- Datasets 2.21.0
- Tokenizers 0.22.1