readme: ---
  tags:
  - generated_from_trainer
  metrics:
  - wer
  model-index:
  - name: no_distil_librispeech_100_clean_6_attention
    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. -->
  
  # no_distil_librispeech_100_clean_6_attention
  
  This model is a fine-tuned version of [](https://huggingface.co/) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 2333.5361
  - Wer: 1.1878
  
  ## 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: 2e-05
  - train_batch_size: 32
  - eval_batch_size: 32
  - seed: 42
  - gradient_accumulation_steps: 2
  - total_train_batch_size: 64
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - lr_scheduler_warmup_steps: 500
  - num_epochs: 30
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Wer    |
  |:-------------:|:-----:|:----:|:---------------:|:------:|
  | 8374.3469     | 0.75  | 100  | 2762.3215       | 1.0    |
  | 4303.0578     | 1.49  | 200  | 2503.2461       | 1.0    |
  | 4307.1169     | 2.24  | 300  | 2498.8477       | 1.0    |
  | 4236.7513     | 2.99  | 400  | 2489.2173       | 1.0    |
  | 4242.8606     | 3.73  | 500  | 2405.0710       | 1.0801 |
  | 4132.4353     | 4.48  | 600  | 2333.5361       | 1.1878 |
  
  
  ### Framework versions
  
  - Transformers 4.24.0
  - Pytorch 1.12.1
  - Datasets 2.7.0
  - Tokenizers 0.11.0
  