|
|
--- |
|
|
tags: |
|
|
- generated_from_trainer |
|
|
datasets: |
|
|
- librispeech_asr |
|
|
model-index: |
|
|
- name: '' |
|
|
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. --> |
|
|
|
|
|
# |
|
|
|
|
|
This model was trained from scratch on the librispeech_asr dataset. |
|
|
It achieves the following results on the evaluation set: |
|
|
- Loss: 5.2453 |
|
|
- Wer: 1.9070 |
|
|
|
|
|
## 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: 0.001 |
|
|
- 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 | |
|
|
|:-------------:|:-----:|:----:|:---------------:|:------:| |
|
|
| 5.6407 | 0.28 | 500 | 6.3882 | 1.9939 | |
|
|
| 5.6351 | 0.56 | 1000 | 6.1492 | 2.0010 | |
|
|
| 5.4896 | 0.84 | 1500 | 5.8014 | 1.9549 | |
|
|
| 4.9941 | 1.12 | 2000 | 5.7117 | 1.9888 | |
|
|
| 5.1524 | 1.4 | 2500 | 5.5260 | 1.3353 | |
|
|
| 4.8291 | 1.68 | 3000 | 5.4030 | 1.9694 | |
|
|
| 4.6539 | 1.96 | 3500 | 5.3507 | 1.9606 | |
|
|
| 4.351 | 2.24 | 4000 | 5.4178 | 1.9678 | |
|
|
| 4.1189 | 2.52 | 4500 | 5.2799 | 1.9154 | |
|
|
| 3.9921 | 2.8 | 5000 | 5.2453 | 1.9070 | |
|
|
|
|
|
|
|
|
### Framework versions |
|
|
|
|
|
- Transformers 4.17.0.dev0 |
|
|
- Pytorch 1.10.2+cu113 |
|
|
- Datasets 1.18.3 |
|
|
- Tokenizers 0.11.0 |
|
|
|
