readme: ---
  tags:
  - generated_from_trainer
  model-index:
  - name: finetune_indian_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. -->
  
  # finetune_indian_asr
  
  This model is a fine-tuned version of [Harveenchadha/vakyansh-wav2vec2-indian-english-enm-700](https://huggingface.co/Harveenchadha/vakyansh-wav2vec2-indian-english-enm-700) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.4215
  - Wer: 0.3403
  
  ## 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: 32
  - 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: 30
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Wer    |
  |:-------------:|:-----:|:----:|:---------------:|:------:|
  | 5.0566        | 3.45  | 500  | 2.9944          | 1.0    |
  | 2.7241        | 6.9   | 1000 | 1.4455          | 0.7654 |
  | 0.9755        | 10.34 | 1500 | 0.4299          | 0.4034 |
  | 0.4624        | 13.79 | 2000 | 0.3628          | 0.3297 |
  | 0.3158        | 17.24 | 2500 | 0.3835          | 0.2952 |
  | 0.2604        | 20.69 | 3000 | 0.3802          | 0.2877 |
  | 0.2           | 24.14 | 3500 | 0.3842          | 0.2799 |
  | 1.7441        | 27.59 | 4000 | 0.4215          | 0.3403 |
  
  
  ### Framework versions
  
  - Transformers 4.17.0
  - Pytorch 1.10.0+cu111
  - Datasets 2.0.0
  - Tokenizers 0.11.6
  