Wav2vec2_MyST_Train_and_Dev
This model is a fine-tuned version of facebook/wav2vec2-base-960h on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6956
- Wer: 1.0
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: 12
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 24
- 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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.8218 | 0.4356 | 1000 | 0.6958 | 1.0 |
| 0.7378 | 0.8713 | 2000 | 0.8468 | 1.0 |
| 0.0 | 1.3067 | 3000 | nan | 1.0 |
| 0.0 | 1.7423 | 4000 | nan | 1.0 |
| 0.0 | 2.1777 | 5000 | nan | 1.0 |
| 0.0 | 2.6134 | 6000 | nan | 1.0 |
| 0.0 | 3.0488 | 7000 | nan | 1.0 |
| 0.0 | 3.4844 | 8000 | nan | 1.0 |
| 0.0 | 3.9201 | 9000 | nan | 1.0 |
| 0.0 | 4.3555 | 10000 | nan | 1.0 |
| 0.0 | 4.7911 | 11000 | nan | 1.0 |
| 0.0 | 5.2265 | 12000 | nan | 1.0 |
| 0.0 | 5.6622 | 13000 | nan | 1.0 |
| 0.0 | 6.0976 | 14000 | nan | 1.0 |
| 0.0 | 6.5332 | 15000 | nan | 1.0 |
| 0.0 | 6.9689 | 16000 | nan | 1.0 |
| 0.0 | 7.4043 | 17000 | nan | 1.0 |
| 0.0 | 7.8399 | 18000 | nan | 1.0 |
| 0.0 | 8.2753 | 19000 | nan | 1.0 |
| 0.0 | 8.7110 | 20000 | nan | 1.0 |
| 0.0 | 9.1464 | 21000 | nan | 1.0 |
| 0.0 | 9.5820 | 22000 | nan | 1.0 |
Framework versions
- Transformers 4.56.2
- Pytorch 2.8.0.dev20250319+cu128
- Datasets 4.1.1
- Tokenizers 0.22.1