readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: bert_large_yc_recipe_30
    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. -->
  
  # bert_large_yc_recipe_30
  
  This model is a fine-tuned version of [bert-large-uncased](https://huggingface.co/bert-large-uncased) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.0000
  
  ## 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: 8
  - eval_batch_size: 8
  - seed: 42
  - distributed_type: multi-GPU
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 30
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss |
  |:-------------:|:-----:|:----:|:---------------:|
  | No log        | 1.0   | 121  | 0.0026          |
  | No log        | 2.0   | 242  | 0.0006          |
  | No log        | 3.0   | 363  | 0.0001          |
  | No log        | 4.0   | 484  | 0.0000          |
  | 0.057         | 5.0   | 605  | 0.0000          |
  | 0.057         | 6.0   | 726  | 0.0000          |
  | 0.057         | 7.0   | 847  | 0.0000          |
  | 0.057         | 8.0   | 968  | 0.0000          |
  | 0.0002        | 9.0   | 1089 | 0.0001          |
  | 0.0002        | 10.0  | 1210 | 0.0001          |
  | 0.0002        | 11.0  | 1331 | 0.0002          |
  | 0.0002        | 12.0  | 1452 | 0.0001          |
  | 0.0002        | 13.0  | 1573 | 0.0001          |
  | 0.0002        | 14.0  | 1694 | 0.0001          |
  | 0.0002        | 15.0  | 1815 | 0.0001          |
  | 0.0002        | 16.0  | 1936 | 0.0001          |
  | 0.0           | 17.0  | 2057 | 0.0001          |
  | 0.0           | 18.0  | 2178 | 0.0001          |
  | 0.0           | 19.0  | 2299 | 0.0001          |
  | 0.0           | 20.0  | 2420 | 0.0001          |
  | 0.0           | 21.0  | 2541 | 0.0001          |
  | 0.0           | 22.0  | 2662 | 0.0001          |
  | 0.0           | 23.0  | 2783 | 0.0001          |
  | 0.0           | 24.0  | 2904 | 0.0001          |
  | 0.0           | 25.0  | 3025 | 0.0000          |
  | 0.0           | 26.0  | 3146 | 0.0000          |
  | 0.0           | 27.0  | 3267 | 0.0000          |
  | 0.0           | 28.0  | 3388 | 0.0000          |
  | 0.0           | 29.0  | 3509 | 0.0000          |
  | 0.0           | 30.0  | 3630 | 0.0000          |
  
  
  ### Framework versions
  
  - Transformers 4.21.1
  - Pytorch 1.11.0a0+17540c5
  - Datasets 2.4.0
  - Tokenizers 0.12.1
  