readme: ---
  language:
  - rm-sursilv
  license: apache-2.0
  tags:
  - automatic-speech-recognition
  - mozilla-foundation/common_voice_8_0
  - generated_from_trainer
  - rm-sursilv
  - robust-speech-event
  - model_for_talk
  - hf-asr-leaderboard
  datasets:
  - mozilla-foundation/common_voice_8_0
  model-index:
  - name: sammy786/wav2vec2-xlsr-romansh_sursilvan
    results:
    - task:
        name: Automatic Speech Recognition
        type: automatic-speech-recognition
      dataset:
        name: Common Voice 8
        type: mozilla-foundation/common_voice_8_0
        args: rm-sursilv
      metrics:
      - name: Test WER
        type: wer
        value: 13.82
      - name: Test CER
        type: cer
        value: 3.02
  ---
  # sammy786/wav2vec2-xlsr-romansh_sursilvan
  
  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 - rm-sursilv dataset.
  It achieves the following results on evaluation set (which is 10 percent of train data set merged with other and dev datasets):
  - Loss: 16.38
  - Wer: 21.25
  
  ## 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: 40
  - mixed_precision_training: Native AMP
  
  
  ### Training results
  
  
  | Step | Training Loss | Validation Loss | Wer      |
  |------|---------------|-----------------|----------|
  | 200  | 4.825500      | 2.932350        | 1.000000 |
  | 400  | 1.325600      | 0.292645        | 0.415436 |
  | 600  | 0.709800      | 0.219167        | 0.324451 |
  | 800  | 0.576800      | 0.174390        | 0.275477 |
  | 1000 | 0.538100      | 0.183737        | 0.272116 |
  | 1200 | 0.475200      | 0.159078        | 0.253871 |
  | 1400 | 0.420400      | 0.167277        | 0.240907 |
  | 1600 | 0.393500      | 0.167216        | 0.247269 |
  | 1800 | 0.407500      | 0.178282        | 0.239827 |
  | 2000 | 0.374400      | 0.184590        | 0.239467 |
  | 2200 | 0.382600      | 0.164106        | 0.227824 |
  | 2400 | 0.363100      | 0.162543        | 0.228544 |
  | 2600 | 0.199000      | 0.172903        | 0.231665 |
  | 2800 | 0.150800      | 0.160117        | 0.222662 |
  | 3000 | 0.101100      | 0.169553        | 0.222662 |
  | 3200 | 0.104200      | 0.161056        | 0.220622 |
  | 3400 | 0.096900      | 0.161562        | 0.216781 |
  | 3600 | 0.092200      | 0.163880        | 0.212580 |
  | 3800 | 0.089200      | 0.162288        | 0.214140 |
  | 4000 | 0.076200      | 0.160470        | 0.213540 |
  | 4200 | 0.087900      | 0.162827        | 0.213060 |
  | 4400 | 0.066200      | 0.161096        | 0.213300 |
  | 4600 | 0.076000      | 0.162060        | 0.213660 |
  | 4800 | 0.071400      | 0.162045        | 0.213300 |
  
  
  
  ### 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-romansh_sursilvan --dataset mozilla-foundation/common_voice_8_0 --config rm-sursilv --split test
  ```