readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: bert-large-cased-finetuned-low10-0-cased-DA-20
    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-cased-finetuned-low10-0-cased-DA-20
  
  This model is a fine-tuned version of [bert-large-cased](https://huggingface.co/bert-large-cased) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 2.5523
  
  ## 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: 30
  - eval_batch_size: 30
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 20.0
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss |
  |:-------------:|:-----:|:----:|:---------------:|
  | 1.9248        | 1.0   | 1    | 1.0349          |
  | 1.9585        | 2.0   | 2    | 1.1866          |
  | 3.2777        | 3.0   | 3    | 1.4471          |
  | 0.8177        | 4.0   | 4    | 3.6448          |
  | 0.8142        | 5.0   | 5    | 3.3777          |
  | 1.2679        | 6.0   | 6    | 3.3755          |
  | 3.0205        | 7.0   | 7    | 1.4410          |
  | 1.902         | 8.0   | 8    | 2.0879          |
  | 1.5332        | 9.0   | 9    | 1.2120          |
  | 1.2021        | 10.0  | 10   | 1.3473          |
  | 1.017         | 11.0  | 11   | 1.7179          |
  | 0.9292        | 12.0  | 12   | 4.3621          |
  | 2.6595        | 13.0  | 13   | 0.5600          |
  | 1.2934        | 14.0  | 14   | 0.5098          |
  | 0.3334        | 15.0  | 15   | 2.2589          |
  | 0.778         | 16.0  | 16   | 1.4632          |
  | 0.9396        | 17.0  | 17   | 0.8874          |
  | 1.8881        | 18.0  | 18   | 3.0849          |
  | 0.9685        | 19.0  | 19   | 4.1051          |
  | 1.4742        | 20.0  | 20   | 1.4036          |
  
  
  ### Framework versions
  
  - Transformers 4.26.0
  - Pytorch 1.13.1+cu116
  - Datasets 2.9.0
  - Tokenizers 0.13.2
  