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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
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