readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: bert-large-cased-finetuned-lowR10-0-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-lowR10-0-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: 3.8706
  
  ## 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 |
  |:-------------:|:-----:|:----:|:---------------:|
  | 3.534         | 1.0   | 1    | 3.3267          |
  | 3.4023        | 2.0   | 2    | 1.9169          |
  | 3.9478        | 3.0   | 3    | 4.7299          |
  | 2.7598        | 4.0   | 4    | 1.9790          |
  | 3.5718        | 5.0   | 5    | 2.9120          |
  | 2.554         | 6.0   | 6    | 4.7168          |
  | 2.3288        | 7.0   | 7    | 3.0791          |
  | 4.2772        | 8.0   | 8    | 5.0675          |
  | 3.0613        | 9.0   | 9    | 2.8924          |
  | 2.6295        | 10.0  | 10   | 4.0580          |
  | 1.1492        | 11.0  | 11   | 1.9058          |
  | 2.4894        | 12.0  | 12   | 3.3881          |
  | 1.0674        | 13.0  | 13   | 4.1820          |
  | 1.0408        | 14.0  | 14   | 1.3132          |
  | 2.4876        | 15.0  | 15   | 1.8314          |
  | 1.8407        | 16.0  | 16   | 2.4077          |
  | 2.3834        | 17.0  | 17   | 2.9627          |
  | 3.0375        | 18.0  | 18   | 2.5811          |
  | 1.8393        | 19.0  | 19   | 2.4138          |
  | 1.8369        | 20.0  | 20   | 2.2895          |
  
  
  ### Framework versions
  
  - Transformers 4.26.0
  - Pytorch 1.13.1+cu116
  - Datasets 2.9.0
  - Tokenizers 0.13.2
  