readme: ---
  tags:
  - generated_from_trainer
  metrics:
  - wer
  model-index:
  - name: libri-alpha-0.75-Temp-1-attention-3-layers-distil-with-6-layers-att-take-4
    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-att-take-4
  
  This model is a fine-tuned version of [rohitp1/libri-alpha-0.75-Temp-1-attention-3-layers-distil-with-6-layers-att-take-2](https://huggingface.co/rohitp1/libri-alpha-0.75-Temp-1-attention-3-layers-distil-with-6-layers-att-take-2) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 37.5364
  - Wer: 0.3334
  
  ## 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: 0.002
  - train_batch_size: 2
  - eval_batch_size: 1
  - seed: 42
  - gradient_accumulation_steps: 16
  - 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: 0.2
  - num_epochs: 40
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Wer    |
  |:-------------:|:-----:|:----:|:---------------:|:------:|
  | 43.7806       | 0.9   | 400  | 41.3073         | 0.2570 |
  | 48.6549       | 1.8   | 800  | 41.8945         | 0.2740 |
  | 57.4209       | 2.7   | 1200 | 39.9947         | 0.2872 |
  | 68.8449       | 3.59  | 1600 | 39.4528         | 0.3059 |
  | 79.4299       | 4.49  | 2000 | 38.9575         | 0.3179 |
  | 93.0514       | 5.39  | 2400 | 37.5364         | 0.3334 |
  
  
  ### Framework versions
  
  - Transformers 4.24.0
  - Pytorch 1.12.1
  - Datasets 2.7.1
  - Tokenizers 0.11.0
  