readme: ---
  tags:
  - generated_from_trainer
  metrics:
  - wer
  model-index:
  - name: libri-alpha-1-Temp-1-processor-change
    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-1-Temp-1-processor-change
  
  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: 107.5632
  - Wer: 0.1210
  
  ## 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    |
  |:-------------:|:-----:|:----:|:---------------:|:------:|
  | 800.4601      | 0.75  | 100  | 189.2537        | 0.1508 |
  | 680.6167      | 1.49  | 200  | 151.4276        | 0.1445 |
  | 596.8935      | 2.24  | 300  | 144.2152        | 0.1401 |
  | 576.7275      | 2.99  | 400  | 135.5783        | 0.1354 |
  | 558.4325      | 3.73  | 500  | 121.5539        | 0.1324 |
  | 512.5202      | 4.48  | 600  | 118.9303        | 0.1302 |
  | 480.8142      | 5.22  | 700  | 117.4402        | 0.1295 |
  | 480.9125      | 5.97  | 800  | 113.6219        | 0.1266 |
  | 425.4858      | 6.72  | 900  | 112.1535        | 0.1274 |
  | 443.0105      | 7.46  | 1000 | 112.7184        | 0.1240 |
  | 436.3363      | 8.21  | 1100 | 110.7517        | 0.1268 |
  | 416.3612      | 8.96  | 1200 | 112.7510        | 0.1272 |
  | 418.833       | 9.7   | 1300 | 108.8896        | 0.1208 |
  | 417.0277      | 10.45 | 1400 | 108.8765        | 0.1208 |
  | 432.6803      | 11.19 | 1500 | 108.7693        | 0.1213 |
  | 378.0122      | 11.94 | 1600 | 107.9976        | 0.1217 |
  | 407.0373      | 12.69 | 1700 | 107.8557        | 0.1211 |
  | 398.8923      | 13.43 | 1800 | 107.5632        | 0.1210 |
  
  
  ### Framework versions
  
  - Transformers 4.24.0
  - Pytorch 1.12.1
  - Datasets 2.7.0
  - Tokenizers 0.11.0
  