|
--- |
|
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: 4.2599 |
|
- Wer: 1.0191 |
|
|
|
## 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: 16 |
|
- total_train_batch_size: 128 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- lr_scheduler_warmup_steps: 500 |
|
- num_epochs: 10.0 |
|
- mixed_precision_training: Native AMP |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Wer | |
|
|:-------------:|:-----:|:----:|:---------------:|:------:| |
|
| 4.9509 | 2.24 | 500 | 4.6362 | 1.0192 | |
|
| 4.4811 | 4.48 | 1000 | 4.4714 | 0.9457 | |
|
| 3.8931 | 6.73 | 1500 | 4.2505 | 0.9688 | |
|
| 3.3698 | 8.97 | 2000 | 4.2599 | 1.0191 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.17.0.dev0 |
|
- Pytorch 1.10.2+cu113 |
|
- Datasets 1.18.3 |
|
- Tokenizers 0.11.0 |
|
|
