readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: bert-large-cased-finetuned-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-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: 0.9537
  
  ## 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 |
  |:-------------:|:-----:|:----:|:---------------:|
  | 1.8306        | 1.0   | 225  | 1.5331          |
  | 1.5024        | 2.0   | 450  | 1.3427          |
  | 1.3769        | 3.0   | 675  | 1.2441          |
  | 1.2924        | 4.0   | 900  | 1.2326          |
  | 1.2491        | 5.0   | 1125 | 1.1679          |
  | 1.1969        | 6.0   | 1350 | 1.1379          |
  | 1.1505        | 7.0   | 1575 | 1.1036          |
  | 1.1198        | 8.0   | 1800 | 1.0733          |
  | 1.0925        | 9.0   | 2025 | 1.0709          |
  | 1.0707        | 10.0  | 2250 | 1.0450          |
  | 1.0465        | 11.0  | 2475 | 1.0228          |
  | 1.0329        | 12.0  | 2700 | 1.0219          |
  | 1.0104        | 13.0  | 2925 | 0.9946          |
  | 0.9924        | 14.0  | 3150 | 1.0020          |
  | 0.9882        | 15.0  | 3375 | 0.9802          |
  | 0.9836        | 16.0  | 3600 | 0.9773          |
  | 0.9725        | 17.0  | 3825 | 0.9729          |
  | 0.9633        | 18.0  | 4050 | 0.9558          |
  | 0.9601        | 19.0  | 4275 | 0.9707          |
  | 0.9553        | 20.0  | 4500 | 0.9555          |
  
  
  ### Framework versions
  
  - Transformers 4.26.0
  - Pytorch 1.13.1+cu116
  - Datasets 2.9.0
  - Tokenizers 0.13.2
  