readme: ---
  language:
  - ky
  license: apache-2.0
  tags:
  - automatic-speech-recognition
  - mozilla-foundation/common_voice_8_0
  - generated_from_trainer
  - ky
  - robust-speech-event
  - model_for_talk
  - hf-asr-leaderboard
  datasets:
  - mozilla-foundation/common_voice_8_0
  model-index:
  - name: sammy786/wav2vec2-xlsr-kyrgyz
    results:
    - task:
        name: Automatic Speech Recognition
        type: automatic-speech-recognition
      dataset:
        name: Common Voice 8
        type: mozilla-foundation/common_voice_8_0
        args: ky
      metrics:
      - name: Test WER
        type: wer
        value: 25.24
      - name: Test CER
        type: cer
        value: 6.25
  ---
  # sammy786/wav2vec2-xlsr-kyrgyz
  
  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 - ky dataset.
  It achieves the following results on evaluation set (which is 10 percent of train data set merged with other and dev datasets):
  - Loss: 43.06
  - Wer: 39.19
  
  ## 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: 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: 30
  - mixed_precision_training: Native AMP
  
  
  ### Training results
  
  
  | Step | Training Loss | Validation Loss | Wer      |
  |------|---------------|-----------------|----------|
  | 200  | 5.357800      | 2.700367        | 1.000000 |
  | 400  | 1.513600      | 0.642542        | 0.598820 |
  | 600  | 0.961900      | 0.530665        | 0.502739 |
  | 800  | 0.776000      | 0.507709        | 0.462705 |
  | 1000 | 0.646100      | 0.453115        | 0.444164 |
  | 1200 | 0.581200      | 0.454797        | 0.438264 |
  | 1400 | 0.437900      | 0.459389        | 0.426464 |
  | 1600 | 0.348600      | 0.401247        | 0.416351 |
  | 1800 | 0.312800      | 0.436135        | 0.409608 |
  | 2000 | 0.294100      | 0.440911        | 0.398651 |
  | 2200 | 0.281400      | 0.432729        | 0.394016 |
  | 2400 | 0.258400      | 0.429860        | 0.393595 |
  | 2600 | 0.263700      | 0.432689        | 0.395280 |
  | 2800 | 0.256900      | 0.430672        | 0.391909 |
  
  
  ### 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-kyrgyz --dataset mozilla-foundation/common_voice_8_0 --config ky --split test
  ```