readme: ---
  language:
  - ur
  license: apache-2.0
  tags:
  - automatic-speech-recognition
  - mozilla-foundation/common_voice_8_0
  - generated_from_trainer
  - ur
  - robust-speech-event
  - hf-asr-leaderboard
  datasets:
  - mozilla-foundation/common_voice_8_0
  model-index:
  - name: ''
    results:
    - task:
        name: Automatic Speech Recognition
        type: automatic-speech-recognition
      dataset:
        name: Common Voice 8.0
        type: mozilla-foundation/common_voice_8_0
        args: ur
      metrics:
      - name: Test WER
        type: wer
        value: 62.47
  ---
  
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
  should probably proofread and complete it, then remove this comment. -->
  
  # 
  
  This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on the MOZILLA-FOUNDATION/COMMON_VOICE_8_0 - UR dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.8888
  - Wer: 0.6642
  
  ## Model description
  
  More information needed
  
  ## Intended uses & limitations
  
  More information needed
  
  ## Training and evaluation data
  
  More information needed
  
  ## Training procedure
  
  ### Training hyperparameters
  
  The following hyperparameters were used during training:
  - learning_rate: 7.5e-05
  - train_batch_size: 8
  - eval_batch_size: 8
  - seed: 42
  - gradient_accumulation_steps: 2
  - total_train_batch_size: 16
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - lr_scheduler_warmup_steps: 50
  - num_epochs: 50.0
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Wer    |
  |:-------------:|:-----:|:----:|:---------------:|:------:|
  | 10.1224       | 1.96  | 100  | 3.5429          | 1.0    |
  | 3.2411        | 3.92  | 200  | 3.1786          | 1.0    |
  | 3.1283        | 5.88  | 300  | 3.0571          | 1.0    |
  | 3.0044        | 7.84  | 400  | 2.9560          | 0.9996 |
  | 2.9388        | 9.8   | 500  | 2.8977          | 1.0011 |
  | 2.86          | 11.76 | 600  | 2.6944          | 0.9952 |
  | 2.5538        | 13.73 | 700  | 2.0967          | 0.9435 |
  | 2.1214        | 15.69 | 800  | 1.4816          | 0.8428 |
  | 1.8136        | 17.65 | 900  | 1.2459          | 0.8048 |
  | 1.6795        | 19.61 | 1000 | 1.1232          | 0.7649 |
  | 1.5571        | 21.57 | 1100 | 1.0510          | 0.7432 |
  | 1.4975        | 23.53 | 1200 | 1.0298          | 0.6963 |
  | 1.4485        | 25.49 | 1300 | 0.9775          | 0.7074 |
  | 1.3924        | 27.45 | 1400 | 0.9798          | 0.6956 |
  | 1.3604        | 29.41 | 1500 | 0.9345          | 0.7092 |
  | 1.3224        | 31.37 | 1600 | 0.9535          | 0.6830 |
  | 1.2816        | 33.33 | 1700 | 0.9178          | 0.6679 |
  | 1.2623        | 35.29 | 1800 | 0.9249          | 0.6679 |
  | 1.2421        | 37.25 | 1900 | 0.9124          | 0.6734 |
  | 1.2208        | 39.22 | 2000 | 0.8962          | 0.6664 |
  | 1.2145        | 41.18 | 2100 | 0.8903          | 0.6734 |
  | 1.1888        | 43.14 | 2200 | 0.8883          | 0.6708 |
  | 1.1933        | 45.1  | 2300 | 0.8928          | 0.6723 |
  | 1.1838        | 47.06 | 2400 | 0.8868          | 0.6679 |
  | 1.1634        | 49.02 | 2500 | 0.8886          | 0.6657 |
  
  
  ### Framework versions
  
  - Transformers 4.17.0.dev0
  - Pytorch 1.10.2+cu102
  - Datasets 1.18.3
  - Tokenizers 0.11.0
  