This model was trained from scratch on the librispeech_asr dataset. It achieves the following results on the evaluation set:
- Loss: 6.9670
- Wer: 1.9878
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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 3.0
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 6.7599 | 0.28 | 500 | 6.8755 | 1.2551 |
| 6.5943 | 0.56 | 1000 | 6.7702 | 1.5878 |
| 6.3146 | 0.84 | 1500 | 6.6981 | 1.6627 |
| 6.6112 | 1.12 | 2000 | 6.6760 | 1.9853 |
| 6.6894 | 1.4 | 2500 | 6.6323 | 1.9376 |
| 6.5525 | 1.68 | 3000 | 6.6185 | 1.9383 |
| 6.571 | 1.96 | 3500 | 6.6126 | 1.9580 |
| 6.3363 | 2.24 | 4000 | 6.7869 | 1.9818 |
| 6.5832 | 2.52 | 4500 | 6.9096 | 2.0025 |
| 6.3523 | 2.8 | 5000 | 6.9670 | 1.9878 |
Framework versions
- Transformers 4.17.0.dev0
- Pytorch 1.10.2+cu113
- Datasets 1.18.3
- Tokenizers 0.11.0