readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: bert-large-cased-finetuned-low20-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-low20-cased-DA-20 (not in use)
  
  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: 1.3667
  
  ## 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: 64
  - eval_batch_size: 64
  - 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 |
  |:-------------:|:-----:|:----:|:---------------:|
  | 2.477         | 1.0   | 1    | 3.0843          |
  | 3.5516        | 2.0   | 2    | 4.2279          |
  | 3.6173        | 3.0   | 3    | 4.2543          |
  | 3.1873        | 4.0   | 4    | 2.8752          |
  | 3.9494        | 5.0   | 5    | 1.7727          |
  | 2.628         | 6.0   | 6    | 2.2849          |
  | 1.7451        | 7.0   | 7    | 2.2338          |
  | 2.6641        | 8.0   | 8    | 1.4185          |
  | 3.0739        | 9.0   | 9    | 4.0617          |
  | 2.1557        | 10.0  | 10   | 3.4256          |
  | 1.6353        | 11.0  | 11   | 3.0232          |
  | 2.6313        | 12.0  | 12   | 4.2908          |
  | 1.9466        | 13.0  | 13   | 3.0047          |
  | 1.8104        | 14.0  | 14   | 2.9170          |
  | 2.0315        | 15.0  | 15   | 3.5850          |
  | 2.6848        | 16.0  | 16   | 4.4435          |
  | 2.0859        | 17.0  | 17   | 3.9439          |
  | 1.6852        | 18.0  | 18   | 0.9313          |
  | 1.6071        | 19.0  | 19   | 3.6927          |
  | 1.697         | 20.0  | 20   | 3.7250          |
  
  
  ### Framework versions
  
  - Transformers 4.26.0
  - Pytorch 1.13.1+cu116
  - Datasets 2.9.0
  - Tokenizers 0.13.2
  