readme: ---
  language:
  - gl
  license: apache-2.0
  tags:
  - automatic-speech-recognition
  - mozilla-foundation/common_voice_8_0
  - generated_from_trainer
  - gl
  - robust-speech-event
  - model_for_talk
  - hf-asr-leaderboard
  datasets:
  - mozilla-foundation/common_voice_8_0
  model-index:
  - name: Akashpb13/Galician_xlsr
    results:
    - task:
        name: Automatic Speech Recognition
        type: automatic-speech-recognition
      dataset:
        name: Common Voice 8
        type: mozilla-foundation/common_voice_8_0
        args: kmr
      metrics:
      - name: Test WER
        type: wer
        value: 0.11308483789555426
      - name: Test CER
        type: cer
        value: 0.023982371794871796
    - task:
        name: Automatic Speech Recognition
        type: automatic-speech-recognition
      dataset:
        name: Robust Speech Event - Dev Data
        type: speech-recognition-community-v2/dev_data
        args: gl
      metrics:
      - name: Test WER
        type: wer
        value: 0.11308483789555426
      - name: Test CER
        type: cer
        value: 0.023982371794871796
    - task:
        name: Automatic Speech Recognition
        type: automatic-speech-recognition
      dataset:
        name: Common Voice 8.0
        type: mozilla-foundation/common_voice_8_0
        args: gl
      metrics:
      - name: Test WER
        type: wer
        value: 11.31
    - task:
        name: Automatic Speech Recognition
        type: automatic-speech-recognition
      dataset:
        name: Robust Speech Event - Test Data
        type: speech-recognition-community-v2/eval_data
        args: gl
      metrics:
      - name: Test WER
        type: wer
        value: 39.05
  ---
  
  # Akashpb13/Galician_xlsr
  
  This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the MOZILLA-FOUNDATION/COMMON_VOICE_7_0 - hu dataset.
  It achieves the following results on the evaluation set (which is 10 percent of train data set merged with invalidated data, reported, other, and dev datasets):
  - Loss: 0.137096
  - Wer: 0.196230
  ## Model description
  "facebook/wav2vec2-xls-r-300m" was finetuned.
  
  ## Intended uses & limitations
  More information needed
  ## Training and evaluation data
  Training data - 
  Common voice Galician train.tsv, dev.tsv, invalidated.tsv, reported.tsv, and other.tsv 
  Only those points were considered where upvotes were greater than downvotes and duplicates were removed after concatenation of all the datasets given in common voice 7.0
  
  ## Training procedure
  For creating the training dataset, all possible datasets were appended and 90-10 split was used. 
  
  ### Training hyperparameters
  
  The following hyperparameters were used during training:
  
  - learning_rate: 0.000096
  - train_batch_size: 16
  - eval_batch_size: 16
  - seed: 13
  - gradient_accumulation_steps: 2
  - lr_scheduler_type: cosine_with_restarts
  - lr_scheduler_warmup_steps: 500
  - num_epochs: 100
  - mixed_precision_training: Native AMP
  
  
  ### Training results
  
  | Step | Training Loss | Validation Loss | Wer      |
  |------|---------------|-----------------|----------|
  | 500  | 5.038100      | 3.035432        | 1.000000 |
  | 1000 | 2.180000      | 0.406300        | 0.557964 |
  | 1500 | 0.331700      | 0.153797        | 0.262394 |
  | 2000 | 0.171600      | 0.145268        | 0.235627 |
  | 2500 | 0.125900      | 0.136622        | 0.228087 |
  | 3000 | 0.105400      | 0.131650        | 0.224128 |
  | 3500 | 0.087600      | 0.141032        | 0.217531 |
  | 4000 | 0.078300      | 0.143675        | 0.214515 |
  | 4500 | 0.070000      | 0.144607        | 0.208106 |
  | 5000 | 0.061500      | 0.135259        | 0.202828 |
  | 5500 | 0.055600      | 0.130638        | 0.203959 |
  | 6000 | 0.050500      | 0.137416        | 0.202451 |
  | 6500 | 0.046600      | 0.140379        | 0.200000 |
  | 7000 | 0.040800      | 0.140179        | 0.200377 |
  | 7500 | 0.041000      | 0.138089        | 0.196795 |
  | 8000 | 0.038400      | 0.136927        | 0.197172 |
  
  ### Framework versions
  - Transformers 4.16.0.dev0
  - Pytorch 1.10.0+cu102
  - Datasets 1.18.3
  - 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 Akashpb13/Galician_xlsr --dataset mozilla-foundation/common_voice_8_0 --config gl --split test
  ```
  
  