readme: ---
  tags:
  - generated_from_trainer
  metrics:
  - wer
  model-index:
  - name: Nystrom-W2V2-100hrs-take-3-unfreeze-extractor
    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. -->
  
  # Nystrom-W2V2-100hrs-take-3-unfreeze-extractor
  
  This model is a fine-tuned version of [rohitp1/Nystrom-W2V2-100hrs-take-2](https://huggingface.co/rohitp1/Nystrom-W2V2-100hrs-take-2) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 29.1951
  - Wer: 0.1183
  
  ## 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: 0.0005
  - train_batch_size: 32
  - eval_batch_size: 4
  - seed: 42
  - gradient_accumulation_steps: 32
  - total_train_batch_size: 1024
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: cosine
  - lr_scheduler_warmup_ratio: 0.2
  - num_epochs: 100
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Wer    |
  |:-------------:|:-----:|:----:|:---------------:|:------:|
  | 123.0399      | 37.04 | 1000 | 27.2466         | 0.1448 |
  | 89.1443       | 74.07 | 2000 | 29.1951         | 0.1183 |
  
  
  ### Framework versions
  
  - Transformers 4.25.1
  - Pytorch 1.12.1
  - Datasets 2.8.0
  - Tokenizers 0.13.2
  