readme: ---
  tags:
  - generated_from_trainer
  model-index:
  - name: libri-alpha-0.75-Temp-1-attention-3-layers-distil-with-6-layers-take-3
    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. -->
  
  # libri-alpha-0.75-Temp-1-attention-3-layers-distil-with-6-layers-take-3
  
  This model is a fine-tuned version of [rohitp1/libri-alpha-0.75-Temp-1-attention-3-layers-distil-with-6-layers-take-2](https://huggingface.co/rohitp1/libri-alpha-0.75-Temp-1-attention-3-layers-distil-with-6-layers-take-2) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 236.1198
  - Wer: 0.2607
  
  ## 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: 0.0002
  - train_batch_size: 16
  - eval_batch_size: 16
  - 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_ratio: 0.3
  - num_epochs: 30
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Wer    |
  |:-------------:|:-----:|:----:|:---------------:|:------:|
  | 388.1305      | 0.45  | 200  | 228.0258        | 0.2599 |
  | 376.7096      | 0.9   | 400  | 226.8922        | 0.2566 |
  | 384.1615      | 1.35  | 600  | 228.5904        | 0.2571 |
  | 373.8909      | 1.79  | 800  | 229.0286        | 0.2563 |
  | 385.2149      | 2.24  | 1000 | 230.8802        | 0.2575 |
  | 384.5473      | 2.69  | 1200 | 230.1264        | 0.2563 |
  | 383.9426      | 3.14  | 1400 | 232.5964        | 0.2569 |
  | 385.9253      | 3.59  | 1600 | 237.4036        | 0.2599 |
  | 396.9868      | 4.04  | 1800 | 236.1198        | 0.2607 |
  
  
  ### Framework versions
  
  - Transformers 4.23.1
  - Pytorch 1.12.1
  - Datasets 2.6.1
  - Tokenizers 0.13.1
  