<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->
librispeech-100h-supervised-meta
This model is a fine-tuned version of Kuray107/librispeech-5h-supervised on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0965
- Wer: 0.0330
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: 32
- 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: 20
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.1131 | 1.12 | 1000 | 0.0755 | 0.0487 |
| 0.0725 | 2.24 | 2000 | 0.0637 | 0.0404 |
| 0.0539 | 3.36 | 3000 | 0.0661 | 0.0389 |
| 0.0441 | 4.48 | 4000 | 0.0637 | 0.0371 |
| 0.0379 | 5.61 | 5000 | 0.0675 | 0.0356 |
| 0.0341 | 6.73 | 6000 | 0.0735 | 0.0360 |
| 0.0295 | 7.85 | 7000 | 0.0737 | 0.0362 |
| 0.0265 | 8.97 | 8000 | 0.0741 | 0.0350 |
| 0.0244 | 10.09 | 9000 | 0.0779 | 0.0337 |
| 0.0217 | 11.21 | 10000 | 0.0835 | 0.0343 |
| 0.0203 | 12.33 | 11000 | 0.0785 | 0.0339 |
| 0.0188 | 13.45 | 12000 | 0.0827 | 0.0344 |
| 0.0179 | 14.57 | 13000 | 0.0875 | 0.0332 |
| 0.0169 | 15.7 | 14000 | 0.0860 | 0.0330 |
| 0.0158 | 16.82 | 15000 | 0.0954 | 0.0330 |
| 0.0147 | 17.94 | 16000 | 0.0934 | 0.0329 |
| 0.0148 | 19.06 | 17000 | 0.0965 | 0.0330 |
Framework versions
- Transformers 4.16.2
- Pytorch 1.10.2
- Datasets 1.18.2
- Tokenizers 0.10.3
