readme: ---
  language:
  - ka
  license: apache-2.0
  tags:
  - automatic-speech-recognition
  - mozilla-foundation/common_voice_8_0
  - generated_from_trainer
  - ka
  - robust-speech-event
  - model_for_talk
  - hf-asr-leaderboard
  datasets:
  - mozilla-foundation/common_voice_8_0
  model-index:
  - name: sammy786/wav2vec2-xlsr-czech
    results:
    - task:
        name: Automatic Speech Recognition
        type: automatic-speech-recognition
      dataset:
        name: Common Voice 8
        type: mozilla-foundation/common_voice_8_0
        args: ka
      metrics:
      - name: Test WER
        type: wer
        value: 23.9
      - name: Test CER
        type: cer
        value: 3.59
    - task:
        name: Automatic Speech Recognition
        type: automatic-speech-recognition
      dataset:
        name: Robust Speech Event - Dev Data
        type: speech-recognition-community-v2/dev_data
        args: ka
      metrics:
      - name: Test WER
        type: wer
        value: 75.07
    - task:
        name: Automatic Speech Recognition
        type: automatic-speech-recognition
      dataset:
        name: Robust Speech Event - Test Data
        type: speech-recognition-community-v2/eval_data
        args: ka
      metrics:
      - name: Test WER
        type: wer
        value: 74.41
  ---
  # sammy786/wav2vec2-xlsr-georgian
  
  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 - ka dataset.
  It achieves the following results on evaluation set (which is 10 percent of train data set merged with other and dev datasets):
  - Loss: 10.54
  - Wer: 27.53
  
  ## 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  | 4.152100      | 0.823672        | 0.967814 |
  | 400  | 0.889500      | 0.196740        | 0.444792 |
  | 600  | 0.493700      | 0.155659        | 0.366115 |
  | 800  | 0.328000      | 0.138066        | 0.358069 |
  | 1000 | 0.260600      | 0.119236        | 0.324989 |
  | 1200 | 0.217200      | 0.114050        | 0.313366 |
  | 1400 | 0.188800      | 0.112600        | 0.302190 |
  | 1600 | 0.166900      | 0.111154        | 0.295485 |
  | 1800 | 0.155500      | 0.109963        | 0.286544 |
  | 2000 | 0.140400      | 0.107587        | 0.277604 |
  | 2200 | 0.142600      | 0.105662        | 0.277157 |
  | 2400 | 0.135400      | 0.105414        | 0.275369 |
  
  
  
  ### 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-georgian --dataset mozilla-foundation/common_voice_8_0 --config ka --split test
  ```