---
language:
- cs
- hsb
- pl
- sk
- sl
- multilingual
license: apache-2.0
tags:
- automatic-speech-recognition
- generated_from_trainer
- hf-asr-leaderboard
- mozilla-foundation/common_voice_8_0
- robust-speech-event
- xlsr-fine-tuning-week
datasets:
- mozilla-foundation/common_voice_8_0
model-index:
- name: wav2vec2-xls-r-300m-west-slavic-cv8
  results:
  - task:
      type: automatic-speech-recognition
      name: Automatic Speech Recognition
    dataset:
      name: Common Voice 8
      type: mozilla-foundation/common_voice_8_0
      args: cs
    metrics:
    - type: wer
      value: 53.5
      name: Test WER
    - type: cer
      value: 14.7
      name: Test CER
    - type: wer
      value: 81.7
      name: Test WER
    - type: cer
      value: 21.2
      name: Test CER
    - type: wer
      value: 60.2
      name: Test WER
    - type: cer
      value: 15.6
      name: Test CER
    - type: wer
      value: 69.6
      name: Test WER
    - type: cer
      value: 20.7
      name: Test CER
    - type: wer
      value: 73.2
      name: Test WER
    - type: cer
      value: 23.2
      name: Test CER
  - task:
      type: automatic-speech-recognition
      name: Automatic Speech Recognition
    dataset:
      name: Robust Speech Event - Dev Data
      type: speech-recognition-community-v2/dev_data
      args: cs
    metrics:
    - type: wer
      value: 84.11
      name: Test WER
    - type: wer
      value: 65.3
      name: Test WER
    - type: wer
      value: 88.37
      name: Test WER
    - type: wer
      value: 87.69
      name: Test WER
  - task:
      type: automatic-speech-recognition
      name: Automatic Speech Recognition
    dataset:
      name: Robust Speech Event - Test Data
      type: speech-recognition-community-v2/eval_data
      args: cs
    metrics:
    - type: wer
      value: 75.99
      name: Test WER
    - type: wer
      value: 72.0
      name: Test WER
    - type: wer
      value: 89.08
      name: Test WER
    - type: wer
      value: 87.89
      name: Test WER
---

# wav2vec2-xls-r-300m-west-slavic-cv8

This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the Common Voice 8 dataset of five similar languages with similar scripts: Czech, Slovak, Polish, Slovenian and Upper Sorbian. Training and validation sets were concatenated and shuffled.

Evaluation set used for training was concatenated from the respective test sets and shuffled while limiting each language to at most 2000 samples. During training, cca WER 70 was achieved on this set.

### Evaluation script

```
python eval.py --model_id comodoro/wav2vec2-xls-r-300m-west-slavic-cv8 --dataset mozilla-foundation/common_voice_8_0 --split test --config {lang}
```
                                                   
### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 0.0003
- train_batch_size: 32
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 50
- mixed_precision_training: Native AMP

### Framework versions

- Transformers 4.16.0.dev0
- Pytorch 1.10.1+cu102
- Datasets 1.18.3
- Tokenizers 0.11.0