|
|
--- |
|
|
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: 4.6263 |
|
|
- Wer: 0.8568 |
|
|
|
|
|
## 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: 3e-05 |
|
|
- train_batch_size: 8 |
|
|
- eval_batch_size: 8 |
|
|
- seed: 42 |
|
|
- gradient_accumulation_steps: 4 |
|
|
- total_train_batch_size: 32 |
|
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
|
- lr_scheduler_type: linear |
|
|
- lr_scheduler_warmup_steps: 1000 |
|
|
- num_epochs: 20.0 |
|
|
- mixed_precision_training: Native AMP |
|
|
|
|
|
### Training results |
|
|
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Wer | |
|
|
|:-------------:|:-----:|:-----:|:---------------:|:------:| |
|
|
| 5.9849 | 1.68 | 1500 | 5.9623 | 1.1028 | |
|
|
| 5.1696 | 3.36 | 3000 | 5.5504 | 1.6345 | |
|
|
| 4.1412 | 5.04 | 4500 | 5.3853 | 1.3565 | |
|
|
| 2.7226 | 6.73 | 6000 | 5.3072 | 0.9908 | |
|
|
| 3.2607 | 8.41 | 7500 | 5.4121 | 1.2854 | |
|
|
| 2.4017 | 10.09 | 9000 | 5.1094 | 1.0303 | |
|
|
| 1.7361 | 11.77 | 10500 | 4.8928 | 0.9506 | |
|
|
| 2.0638 | 13.45 | 12000 | 4.8352 | 0.9127 | |
|
|
| 1.2832 | 15.13 | 13500 | 4.7271 | 0.9103 | |
|
|
| 1.0439 | 16.82 | 15000 | 4.5980 | 0.8720 | |
|
|
| 0.4112 | 18.5 | 16500 | 4.6263 | 0.8568 | |
|
|
|
|
|
|
|
|
### Framework versions |
|
|
|
|
|
- Transformers 4.17.0.dev0 |
|
|
- Pytorch 1.10.2+cu113 |
|
|
- Datasets 1.18.3 |
|
|
- Tokenizers 0.11.0 |
|
|
|
