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This model was trained from scratch on the librispeech_asr dataset. It achieves the following results on the evaluation set:
- Loss: 1.1277
- Wer: 1.0334
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: 0.0003
- 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 |
|---|---|---|---|---|
| 4.7015 | 0.28 | 500 | 5.3313 | 1.9454 |
| 4.7239 | 0.56 | 1000 | 5.1316 | 1.9288 |
| 4.6686 | 0.84 | 1500 | 4.8812 | 1.9646 |
| 4.0138 | 1.12 | 2000 | 4.8274 | 1.8905 |
| 3.6314 | 1.4 | 2500 | 3.8913 | 1.7298 |
| 1.9511 | 1.68 | 3000 | 2.3486 | 1.3674 |
| 1.212 | 1.96 | 3500 | 1.6223 | 1.1877 |
| 0.8092 | 2.24 | 4000 | 1.3949 | 1.1049 |
| 0.497 | 2.52 | 4500 | 1.2544 | 1.0749 |
| 0.4401 | 2.8 | 5000 | 1.1277 | 1.0334 |
Framework versions
- Transformers 4.17.0.dev0
- Pytorch 1.10.2+cu113
- Datasets 1.18.3
- Tokenizers 0.11.0
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