---
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
```