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---
language:
- cv
license: apache-2.0
tags:
- automatic-speech-recognition
- mozilla-foundation/common_voice_8_0
- generated_from_trainer
- cv
- robust-speech-event
- model_for_talk
- hf-asr-leaderboard
datasets:
- mozilla-foundation/common_voice_8_0
model-index:
- name: sammy786/wav2vec2-xlsr-chuvash
results:
- task:
name: Automatic Speech Recognition
type: automatic-speech-recognition
dataset:
name: Common Voice 8
type: mozilla-foundation/common_voice_8_0
args: cv
metrics:
- name: Test WER
type: wer
value: 27.81
- name: Test CER
type: cer
value: 5.79
---
# sammy786/wav2vec2-xlsr-chuvash
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 - cv dataset.
It achieves the following results on evaluation set (which is 10 percent of train data set merged with other and dev datasets):
- Loss: 18.02
- Wer: 29.22
## 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: 8
- eval_batch_size: 16
- seed: 13
- gradient_accumulation_steps: 4
- 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: 30
- mixed_precision_training: Native AMP
### Training results
| Step | Training Loss | Validation Loss | Wer |
|:----:|:-------------:|:---------------:|:--------:|
| 200 | 6.559100 | 2.274687 | 1.000000 |
| 400 | 1.346100 | 0.508268 | 0.681995 |
| 600 | 0.797500 | 0.391174 | 0.572876 |
| 800 | 0.556300 | 0.308620 | 0.489283 |
| 1000 | 0.435800 | 0.273956 | 0.454014 |
| 1200 | 0.388700 | 0.311027 | 0.499415 |
| 1400 | 0.338300 | 0.243977 | 0.413874 |
| 1600 | 0.294000 | 0.214134 | 0.385230 |
| 1800 | 0.276000 | 0.245991 | 0.397311 |
| 2000 | 0.253900 | 0.208324 | 0.363016 |
| 2200 | 0.233600 | 0.222156 | 0.370811 |
| 2400 | 0.219700 | 0.202602 | 0.364186 |
| 2600 | 0.205000 | 0.241339 | 0.384451 |
| 2800 | 0.176000 | 0.263558 | 0.384061 |
| 3000 | 0.166700 | 0.211768 | 0.333398 |
| 3200 | 0.160600 | 0.198677 | 0.321512 |
| 3400 | 0.154600 | 0.208655 | 0.328722 |
| 3600 | 0.146800 | 0.188022 | 0.317810 |
| 3800 | 0.133200 | 0.181083 | 0.313133 |
| 4000 | 0.134200 | 0.190084 | 0.316251 |
| 4200 | 0.114200 | 0.193034 | 0.312159 |
| 4400 | 0.117300 | 0.194122 | 0.312354 |
| 4600 | 0.112300 | 0.191111 | 0.305534 |
| 4800 | 0.107800 | 0.185930 | 0.302611 |
| 5000 | 0.100400 | 0.178625 | 0.299883 |
| 5200 | 0.099800 | 0.176442 | 0.294622 |
| 5400 | 0.100800 | 0.177935 | 0.294427 |
| 5600 | 0.096300 | 0.182903 | 0.293843 |
| 5800 | 0.094200 | 0.181041 | 0.293453 |
| 6000 | 0.097600 | 0.179865 | 0.290725 |
| 6200 | 0.091600 | 0.180327 | 0.292868 |
| 6400 | 0.093100 | 0.180275 | 0.292284 |
### 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-chuvash --dataset mozilla-foundation/common_voice_8_0 --config cv --split test
``` |