finetune_teacher_babble_noise_mozilla_300_epochs_val_loss
This model is a fine-tuned version of on the None dataset. It achieves the following results on the evaluation set:
- Loss: 47.0908
- Wer: 0.3471
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: 0.0005
- train_batch_size: 16
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 128
- total_train_batch_size: 2048
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.2
- num_epochs: 100
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 504.7147 | 29.41 | 1000 | 42.3393 | 0.3905 |
| 272.2657 | 58.82 | 2000 | 44.8953 | 0.3690 |
| 167.0963 | 88.23 | 3000 | 47.0908 | 0.3471 |
Framework versions
- Transformers 4.25.1
- Pytorch 1.12.1
- Datasets 2.8.0
- Tokenizers 0.13.2