readme: ---
  tags:
  - generated_from_trainer
  model-index:
  - name: my_final_wav2vec2-urdu-asr-project
    results: []
  ---
  
  <!-- 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. -->
  
  # my_final_wav2vec2-urdu-asr-project
  
  This model was trained from scratch on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 5.4680
  - Wer: 1.0
  
  ## 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: 0.0003
  - train_batch_size: 4
  - eval_batch_size: 8
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - lr_scheduler_warmup_steps: 400
  - num_epochs: 20
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Wer |
  |:-------------:|:-----:|:----:|:---------------:|:---:|
  | 7.8981        | 1.41  | 200  | 5.5809          | 1.0 |
  | 5.254         | 2.82  | 400  | 5.4720          | 1.0 |
  | 5.2209        | 4.23  | 600  | 5.4862          | 1.0 |
  | 5.256         | 5.63  | 800  | 5.4716          | 1.0 |
  | 5.1244        | 7.04  | 1000 | 5.4912          | 1.0 |
  | 5.0641        | 8.45  | 1200 | 5.4797          | 1.0 |
  | 5.0923        | 9.86  | 1400 | 5.5290          | 1.0 |
  | 5.0166        | 11.27 | 1600 | 5.4722          | 1.0 |
  | 5.1251        | 12.68 | 1800 | 5.4690          | 1.0 |
  | 5.0201        | 14.08 | 2000 | 5.4684          | 1.0 |
  | 5.1285        | 15.49 | 2200 | 5.4745          | 1.0 |
  | 5.0853        | 16.9  | 2400 | 5.4734          | 1.0 |
  | 5.0112        | 18.31 | 2600 | 5.4668          | 1.0 |
  | 5.0372        | 19.72 | 2800 | 5.4680          | 1.0 |
  
  
  ### Framework versions
  
  - Transformers 4.18.0
  - Pytorch 1.11.0+cu113
  - Datasets 1.18.3
  - Tokenizers 0.12.1
  