readme: ---
  language:
  - fa
  tags:
  - automatic-speech-recognition
  - common_voice
  - generated_from_trainer
  datasets:
  - common_voice
  model-index:
  - name: common6
    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. -->
  
  # common6
  
  This model is a fine-tuned version of [common6/checkpoint-3500](https://huggingface.co/common6/checkpoint-3500) on the COMMON_VOICE - FA dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.3706
  - Wer: 0.3421
  
  ## 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: 6e-05
  - train_batch_size: 32
  - eval_batch_size: 16
  - seed: 42
  - gradient_accumulation_steps: 8
  - total_train_batch_size: 256
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - lr_scheduler_warmup_steps: 100
  - num_epochs: 200.0
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step  | Validation Loss | Wer    |
  |:-------------:|:-----:|:-----:|:---------------:|:------:|
  | 1.0344        | 10.0  | 500   | 0.4043          | 0.4511 |
  | 0.9651        | 20.0  | 1000  | 0.3793          | 0.4159 |
  | 0.9125        | 30.0  | 1500  | 0.3756          | 0.4046 |
  | 0.8831        | 40.0  | 2000  | 0.3650          | 0.3876 |
  | 0.8399        | 50.0  | 2500  | 0.3605          | 0.3772 |
  | 0.819         | 60.0  | 3000  | 0.3622          | 0.3714 |
  | 0.8029        | 70.0  | 3500  | 0.3561          | 0.3664 |
  | 0.8104        | 80.0  | 4000  | 0.3595          | 0.3660 |
  | 0.8118        | 90.0  | 4500  | 0.3460          | 0.3592 |
  | 0.7831        | 100.0 | 5000  | 0.3566          | 0.3593 |
  | 0.744         | 110.0 | 5500  | 0.3578          | 0.3535 |
  | 0.7388        | 120.0 | 6000  | 0.3538          | 0.3520 |
  | 0.714         | 130.0 | 6500  | 0.3682          | 0.3506 |
  | 0.7291        | 140.0 | 7000  | 0.3625          | 0.3505 |
  | 0.697         | 150.0 | 7500  | 0.3619          | 0.3479 |
  | 0.6811        | 160.0 | 8000  | 0.3631          | 0.3440 |
  | 0.6841        | 170.0 | 8500  | 0.3672          | 0.3460 |
  | 0.6616        | 180.0 | 9000  | 0.3677          | 0.3410 |
  | 0.6471        | 190.0 | 9500  | 0.3707          | 0.3420 |
  | 0.6759        | 200.0 | 10000 | 0.3706          | 0.3421 |
  
  
  ### Framework versions
  
  - Transformers 4.17.0.dev0
  - Pytorch 1.10.2
  - Datasets 1.18.3.dev0
  - Tokenizers 0.10.3
  