|
--- |
|
language: |
|
- bas |
|
license: apache-2.0 |
|
tags: |
|
- automatic-speech-recognition |
|
- mozilla-foundation/common_voice_8_0 |
|
- generated_from_trainer |
|
- bas |
|
- robust-speech-event |
|
- model_for_talk |
|
- hf-asr-leaderboard |
|
datasets: |
|
- mozilla-foundation/common_voice_8_0 |
|
model-index: |
|
- name: sammy786/wav2vec2-xlsr-basaa |
|
results: |
|
- task: |
|
name: Automatic Speech Recognition |
|
type: automatic-speech-recognition |
|
dataset: |
|
name: Common Voice 8 |
|
type: mozilla-foundation/common_voice_8_0 |
|
args: bas |
|
metrics: |
|
- name: Test WER |
|
type: wer |
|
value: 41.23 |
|
- name: Test CER |
|
type: cer |
|
value: 13.54 |
|
--- |
|
# sammy786/wav2vec2-xlsr-basaa |
|
|
|
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 - bas dataset. |
|
It achieves the following results on evaluation set (which is 10 percent of train data set merged with other and dev datasets): |
|
- Loss: 21.39 |
|
- Wer: 30.99 |
|
|
|
## Model description |
|
"facebook/wav2vec2-xls-r-1b" was finetuned. |
|
|
|
## Intended uses & limitations |
|
More information needed |
|
## Training and evaluation data |
|
Training data - |
|
Common voice Finnish train.tsv, dev.tsv and other.tsv |
|
|
|
## Training procedure |
|
For creating the train dataset, all possible datasets were appended and 90-10 split was used. |
|
|
|
### Training hyperparameters |
|
|
|
The following hyperparameters were used during training: |
|
|
|
- learning_rate: 0.000045637994662983496 |
|
- train_batch_size: 16 |
|
- eval_batch_size: 16 |
|
- seed: 13 |
|
- gradient_accumulation_steps: 2 |
|
- total_train_batch_size: 32 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: cosine_with_restarts |
|
- lr_scheduler_warmup_steps: 500 |
|
- num_epochs: 70 |
|
- mixed_precision_training: Native AMP |
|
|
|
|
|
### Training results |
|
|
|
|
|
| Step | Training Loss | Validation Loss | Wer | |
|
|------|---------------|-----------------|----------| |
|
| 200 | 6.734100 | 1.605006 | 0.980456 | |
|
| 400 | 1.011200 | 0.364686 | 0.442997 | |
|
| 600 | 0.709300 | 0.300204 | 0.377850 | |
|
| 800 | 0.469800 | 0.315612 | 0.405537 | |
|
| 1000 | 0.464700 | 0.352494 | 0.372964 | |
|
| 1200 | 0.421900 | 0.342533 | 0.368078 | |
|
| 1400 | 0.401900 | 0.351398 | 0.343648 | |
|
| 1600 | 0.429800 | 0.350570 | 0.348534 | |
|
| 1800 | 0.352600 | 0.356601 | 0.358306 | |
|
| 2000 | 0.387200 | 0.355814 | 0.356678 | |
|
| 2200 | 0.362400 | 0.345573 | 0.355049 | |
|
|
|
|
|
|
|
### Framework versions |
|
- Transformers 4.16.0.dev0 |
|
- Pytorch 1.10.0+cu102 |
|
- Datasets 1.17.1.dev0 |
|
- Tokenizers 0.10.3 |
|
|
|
#### Evaluation Commands |
|
|
|
1. To evaluate on `mozilla-foundation/common_voice_8_0` with split `test` |
|
|
|
```bash |
|
python eval.py --model_id sammy786/wav2vec2-xlsr-basaa --dataset mozilla-foundation/common_voice_8_0 --config bas --split test |
|
``` |
