readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: bert-large-cased-finetuned-lowR100-0-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-lowR100-0-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: 1.1273
  
  ## 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 |
  |:-------------:|:-----:|:----:|:---------------:|
  | No log        | 1.0   | 1    | 1.8723          |
  | 0.732         | 2.0   | 2    | 3.5381          |
  | 0.732         | 3.0   | 3    | 2.1417          |
  | 0.7987        | 4.0   | 4    | 2.2899          |
  | 0.7987        | 5.0   | 5    | 1.7517          |
  | 0.9115        | 6.0   | 6    | 2.3830          |
  | 0.9115        | 7.0   | 7    | 3.4545          |
  | 0.9239        | 8.0   | 8    | 2.7875          |
  | 0.9239        | 9.0   | 9    | 2.1550          |
  | 1.1331        | 10.0  | 10   | 1.9010          |
  | 1.1331        | 11.0  | 11   | 2.6686          |
  | 1.1203        | 12.0  | 12   | 1.8346          |
  | 1.1203        | 13.0  | 13   | 2.3677          |
  | 0.9392        | 14.0  | 14   | 1.3718          |
  | 0.9392        | 15.0  | 15   | 2.2553          |
  | 0.8844        | 16.0  | 16   | 3.4245          |
  | 0.8844        | 17.0  | 17   | 2.5895          |
  | 0.8565        | 18.0  | 18   | 2.7765          |
  | 0.8565        | 19.0  | 19   | 1.7891          |
  | 0.9602        | 20.0  | 20   | 2.0496          |
  
  
  ### Framework versions
  
  - Transformers 4.26.0
  - Pytorch 1.13.1+cu116
  - Datasets 2.9.0
  - Tokenizers 0.13.2
  