readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  datasets:
  - common_voice
  model-index:
  - name: wav2vec2-large-xls-r-300m-bengali-v7
    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. -->
  
  # wav2vec2-large-xls-r-300m-bengali-v7
  
  This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the common_voice dataset.
  It achieves the following results on the evaluation set:
  - Loss: 3.2999
  - 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: 4e-05
  - train_batch_size: 16
  - eval_batch_size: 8
  - seed: 42
  - gradient_accumulation_steps: 2
  - total_train_batch_size: 32
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - lr_scheduler_warmup_steps: 500
  - num_epochs: 10
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Wer |
  |:-------------:|:-----:|:----:|:---------------:|:---:|
  | 9.965         | 0.85  | 400  | 4.0076          | 1.0 |
  | 3.5381        | 1.71  | 800  | 3.3463          | 1.0 |
  | 3.3333        | 2.56  | 1200 | 3.2927          | 1.0 |
  | 3.307         | 3.41  | 1600 | 3.3024          | 1.0 |
  | 3.3386        | 4.26  | 2000 | 3.2984          | 1.0 |
  | 3.3277        | 5.12  | 2400 | 3.2999          | 1.0 |
  | 3.3145        | 5.97  | 2800 | 3.2999          | 1.0 |
  | 3.3306        | 6.82  | 3200 | 3.2999          | 1.0 |
  | 3.326         | 7.68  | 3600 | 3.2999          | 1.0 |
  | 3.3143        | 8.53  | 4000 | 3.2999          | 1.0 |
  | 3.3311        | 9.38  | 4400 | 3.2999          | 1.0 |
  
  
  ### Framework versions
  
  - Transformers 4.18.0
  - Pytorch 1.11.0
  - Datasets 2.1.0
  - Tokenizers 0.12.1
  