wav2vec2-base960-english-phoneme_v3
This model is a fine-tuned version of facebook/wav2vec2-large on the TIMIT dataset. It achieves the following results on the evaluation set:
- Loss: 0.3697
- Cer: 0.0987
Training and evaluation data
Training: TIMIT dataset training + validation set Evaluation: TIMIT dataset test set
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0003
- train_batch_size: 32
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- num_epochs: 50
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Per |
|---|---|---|---|---|
| 2.2678 | 6.94 | 500 | 0.2347 | 0.0874 |
| 0.25 | 13.88 | 1000 | 0.3358 | 0.1122 |
| 0.2126 | 20.83 | 1500 | 0.3865 | 0.1131 |
| 0.1397 | 27.77 | 2000 | 0.4162 | 0.1085 |
| 0.0916 | 34.72 | 2500 | 0.4429 | 0.1086 |
| 0.0594 | 41.66 | 3000 | 0.3697 | 0.0987 |
Framework versions
- Transformers 4.23.0.dev0
- Pytorch 1.12.1.post201
- Datasets 2.5.2.dev0
- Tokenizers 0.12.1