readme: ---
  tags:
  - generated_from_trainer
  metrics:
  - wer
  model-index:
  - name: Nystrom-W2V2-100hrs-take-1
    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-1
  
  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: 341.3232
  - Wer: 1.0383
  
  ## 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: 4
  - eval_batch_size: 1
  - seed: 42
  - gradient_accumulation_steps: 16
  - total_train_batch_size: 64
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - lr_scheduler_warmup_ratio: 0.2
  - num_epochs: 30
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Wer    |
  |:-------------:|:-----:|:----:|:---------------:|:------:|
  | 2303.9713     | 1.12  | 500  | 310.4888        | 1.0    |
  | 2124.0935     | 2.25  | 1000 | 308.2970        | 1.0    |
  | 2124.3255     | 3.37  | 1500 | 308.7900        | 1.0    |
  | 2117.8083     | 4.49  | 2000 | 304.9168        | 1.0004 |
  | 2109.4828     | 5.62  | 2500 | 302.9160        | 0.9822 |
  | 2110.5865     | 6.74  | 3000 | 301.8441        | 0.9815 |
  | 2112.032      | 7.86  | 3500 | 299.5007        | 1.0203 |
  | 2123.3007     | 8.99  | 4000 | 300.7238        | 1.0462 |
  | 2104.799      | 10.11 | 4500 | 322.6273        | 1.0285 |
  | 2115.346      | 11.24 | 5000 | 324.5243        | 1.0000 |
  | 2109.4525     | 12.36 | 5500 | 325.2796        | 0.9906 |
  | 2106.9338     | 13.48 | 6000 | 296.8322        | 1.0662 |
  | 2096.3611     | 14.61 | 6500 | 300.2722        | 1.1456 |
  | 2072.9336     | 15.73 | 7000 | 297.6896        | 1.1467 |
  | 2070.3176     | 16.85 | 7500 | 298.6618        | 1.0967 |
  | 2037.9215     | 17.98 | 8000 | 341.3232        | 1.0383 |
  
  
  ### Framework versions
  
  - Transformers 4.24.0
  - Pytorch 1.12.1
  - Datasets 2.7.1
  - Tokenizers 0.11.0
  