|
--- |
|
language: |
|
- ja |
|
license: apache-2.0 |
|
tags: |
|
- automatic-speech-recognition |
|
- mozilla-foundation/common_voice_8_0 |
|
- generated_from_trainer |
|
datasets: |
|
- common_voice |
|
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 is a fine-tuned version of [facebook/wav2vec2-xls-r-1b](https://huggingface.co/facebook/wav2vec2-xls-r-1b) on the MOZILLA-FOUNDATION/COMMON_VOICE_8_0 - JA dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.6643 |
|
- Wer: 1.0242 |
|
- Cer: 0.1827 |
|
|
|
## 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: 2000 |
|
- num_epochs: 50.0 |
|
- mixed_precision_training: Native AMP |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Wer | Cer | |
|
|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:| |
|
| 1.9321 | 3.14 | 1000 | 1.0116 | 0.9823 | 0.2635 | |
|
| 2.0934 | 6.29 | 2000 | 1.1241 | 1.0222 | 0.2932 | |
|
| 2.0389 | 9.43 | 3000 | 1.2067 | 1.1325 | 0.3345 | |
|
| 1.9569 | 12.58 | 4000 | 0.9818 | 1.0090 | 0.2657 | |
|
| 1.8409 | 15.72 | 5000 | 1.0382 | 1.6480 | 0.3741 | |
|
| 1.7449 | 18.87 | 6000 | 0.9962 | 1.6268 | 0.3454 | |
|
| 1.7349 | 22.01 | 7000 | 0.9560 | 0.9850 | 0.2597 | |
|
| 1.6857 | 25.16 | 8000 | 0.8722 | 0.9669 | 0.2325 | |
|
| 1.5637 | 28.3 | 9000 | 0.7636 | 1.8071 | 0.3422 | |
|
| 1.5088 | 31.45 | 10000 | 0.7290 | 1.0398 | 0.2085 | |
|
| 1.4298 | 34.59 | 11000 | 0.7576 | 1.0166 | 0.2104 | |
|
| 1.3716 | 37.74 | 12000 | 0.7046 | 1.1275 | 0.2138 | |
|
| 1.3185 | 40.88 | 13000 | 0.7011 | 1.1696 | 0.2179 | |
|
| 1.28 | 44.03 | 14000 | 0.6754 | 1.1316 | 0.2024 | |
|
| 1.2368 | 47.17 | 15000 | 0.6925 | 1.0517 | 0.1923 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.17.0.dev0 |
|
- Pytorch 1.10.2+cu102 |
|
- Datasets 1.18.2.dev0 |
|
- Tokenizers 0.11.0 |
|
|
