readme: ---
  tags:
  - generated_from_trainer
  model-index:
  - name: bangla_asr
    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. -->
  
  # bangla_asr
  
  This model is a fine-tuned version of [Harveenchadha/vakyansh-wav2vec2-bengali-bnm-200](https://huggingface.co/Harveenchadha/vakyansh-wav2vec2-bengali-bnm-200) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 157.8652
  - Wer: 0.4507
  
  ## 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: 0.0001
  - train_batch_size: 16
  - 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: 1000
  - num_epochs: 60
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Wer    |
  |:-------------:|:-----:|:----:|:---------------:|:------:|
  | 2601.5363     | 7.46  | 500  | 259.6630        | 0.6863 |
  | 417.7386      | 14.93 | 1000 | 156.6117        | 0.5275 |
  | 262.9455      | 22.39 | 1500 | 155.0886        | 0.5006 |
  | 178.7715      | 29.85 | 2000 | 155.1077        | 0.4840 |
  | 132.448       | 37.31 | 2500 | 163.8623        | 0.4770 |
  | 116.3943      | 44.78 | 3000 | 161.5531        | 0.4609 |
  | 87.1653       | 52.24 | 3500 | 165.6857        | 0.4597 |
  | 80.5606       | 59.7  | 4000 | 157.8652        | 0.4507 |
  
  
  ### Framework versions
  
  - Transformers 4.11.3
  - Pytorch 1.10.0+cu111
  - Datasets 1.13.3
  - Tokenizers 0.10.3
  