| | --- |
| | license: apache-2.0 |
| | tags: |
| | - generated_from_trainer |
| | model-index: |
| | - name: librispeech-100h-supervised-aug |
| | results: [] |
| | --- |
| | |
| | <!-- 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-aug |
| |
|
| | This model is a fine-tuned version of [Kuray107/librispeech-5h-supervised](https://huggingface.co/Kuray107/librispeech-5h-supervised) on the None dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.0776 |
| | - Wer: 0.0327 |
| |
|
| | ## 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 | |
| | |:-------------:|:-----:|:-----:|:---------------:|:------:| |
| | | 0.3099 | 1.12 | 1000 | 0.0748 | 0.0521 | |
| | | 0.1873 | 2.24 | 2000 | 0.0674 | 0.0440 | |
| | | 0.146 | 3.36 | 3000 | 0.0671 | 0.0406 | |
| | | 0.1233 | 4.48 | 4000 | 0.0619 | 0.0381 | |
| | | 0.1098 | 5.61 | 5000 | 0.0618 | 0.0381 | |
| | | 0.0985 | 6.73 | 6000 | 0.0590 | 0.0355 | |
| | | 0.0907 | 7.85 | 7000 | 0.0659 | 0.0352 | |
| | | 0.0837 | 8.97 | 8000 | 0.0679 | 0.0359 | |
| | | 0.0762 | 10.09 | 9000 | 0.0701 | 0.0349 | |
| | | 0.0707 | 11.21 | 10000 | 0.0715 | 0.0348 | |
| | | 0.0666 | 12.33 | 11000 | 0.0719 | 0.0346 | |
| | | 0.0631 | 13.45 | 12000 | 0.0746 | 0.0347 | |
| | | 0.0593 | 14.57 | 13000 | 0.0757 | 0.0340 | |
| | | 0.0554 | 15.7 | 14000 | 0.0746 | 0.0337 | |
| | | 0.053 | 16.82 | 15000 | 0.0757 | 0.0331 | |
| | | 0.0525 | 17.94 | 16000 | 0.0752 | 0.0327 | |
| | | 0.0514 | 19.06 | 17000 | 0.0776 | 0.0327 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.16.2 |
| | - Pytorch 1.10.2 |
| | - Datasets 1.18.2 |
| | - Tokenizers 0.10.3 |
| | |
