readme: ---
  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
  ```