readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: new_asr_model
    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. -->
  
  # new_asr_model
  
  This model is a fine-tuned version of [facebook/wav2vec2-large-960h-lv60-self](https://huggingface.co/facebook/wav2vec2-large-960h-lv60-self) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.0553
  - Wer: 0.1515
  
  ## 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: 36
  - 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: 25
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Wer    |
  |:-------------:|:-----:|:----:|:---------------:|:------:|
  | 7.1498        | 3.88  | 500  | 1.9949          | 0.9938 |
  | 0.4835        | 7.75  | 1000 | 0.0690          | 0.1562 |
  | 0.1202        | 11.63 | 1500 | 0.0555          | 0.1513 |
  | 0.0842        | 15.5  | 2000 | 0.0564          | 0.1516 |
  | 0.0637        | 19.38 | 2500 | 0.0559          | 0.1521 |
  | 0.0647        | 23.26 | 3000 | 0.0553          | 0.1515 |
  
  
  ### Framework versions
  
  - Transformers 4.11.3
  - Pytorch 1.13.1+cu117
  - Datasets 1.14.0
  - Tokenizers 0.10.3
  