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librispeech-semi-supervised-without-LM
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1837
- Wer: 0.0580
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: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- num_epochs: 15
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.0565 | 0.56 | 1000 | 0.1354 | 0.0641 |
| 0.0548 | 1.12 | 2000 | 0.1320 | 0.0628 |
| 0.0478 | 1.68 | 3000 | 0.1247 | 0.0612 |
| 0.0451 | 2.24 | 4000 | 0.1256 | 0.0613 |
| 0.0401 | 2.8 | 5000 | 0.1269 | 0.0606 |
| 0.035 | 3.36 | 6000 | 0.1370 | 0.0595 |
| 0.0344 | 3.92 | 7000 | 0.1280 | 0.0589 |
| 0.031 | 4.48 | 8000 | 0.1350 | 0.0589 |
| 0.031 | 5.04 | 9000 | 0.1418 | 0.0614 |
| 0.0278 | 5.61 | 10000 | 0.1382 | 0.0604 |
| 0.0272 | 6.17 | 11000 | 0.1502 | 0.0615 |
| 0.0246 | 6.73 | 12000 | 0.1443 | 0.0609 |
| 0.0233 | 7.29 | 13000 | 0.1548 | 0.0589 |
| 0.0224 | 7.85 | 14000 | 0.1547 | 0.0599 |
| 0.0202 | 8.41 | 15000 | 0.1570 | 0.0590 |
| 0.0199 | 8.97 | 16000 | 0.1564 | 0.0594 |
| 0.0186 | 9.53 | 17000 | 0.1598 | 0.0595 |
| 0.0187 | 10.09 | 18000 | 0.1657 | 0.0585 |
| 0.017 | 10.65 | 19000 | 0.1690 | 0.0584 |
| 0.016 | 11.21 | 20000 | 0.1689 | 0.0588 |
| 0.0156 | 11.77 | 21000 | 0.1745 | 0.0585 |
| 0.0151 | 12.33 | 22000 | 0.1777 | 0.0583 |
| 0.0144 | 12.89 | 23000 | 0.1778 | 0.0590 |
| 0.0142 | 13.45 | 24000 | 0.1803 | 0.0585 |
| 0.0137 | 14.01 | 25000 | 0.1796 | 0.0581 |
| 0.0132 | 14.57 | 26000 | 0.1837 | 0.0580 |
Framework versions
- Transformers 4.14.1
- Pytorch 1.10.2
- Datasets 1.18.2
- Tokenizers 0.10.3
