readme: ---
  tags:
  - generated_from_trainer
  model-index:
  - name: T5-asr-corrector
    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. -->
  
  # T5-asr-corrector
  
  This model is a fine-tuned version of [flax-community/bengali-t5-base](https://huggingface.co/flax-community/bengali-t5-base) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.4683
  
  ## 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: 2e-05
  - train_batch_size: 8
  - eval_batch_size: 8
  - seed: 42
  - gradient_accumulation_steps: 6
  - total_train_batch_size: 48
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 1
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss |
  |:-------------:|:-----:|:----:|:---------------:|
  | 1.6804        | 0.15  | 500  | 0.8576          |
  | 0.792         | 0.31  | 1000 | 0.6556          |
  | 0.6553        | 0.46  | 1500 | 0.5640          |
  | 0.5901        | 0.62  | 2000 | 0.5114          |
  | 0.5454        | 0.77  | 2500 | 0.4815          |
  | 0.53          | 0.93  | 3000 | 0.4683          |
  
  
  ### Framework versions
  
  - Transformers 4.25.1
  - Pytorch 1.13.0+cu116
  - Datasets 2.8.0
  - Tokenizers 0.13.2
  