readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: oldData_BERT
    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. -->
  
  # oldData_BERT
  
  This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.0616
  
  ## 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: 5e-05
  - train_batch_size: 1
  - eval_batch_size: 1
  - seed: 42
  - gradient_accumulation_steps: 8
  - total_train_batch_size: 8
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 7
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss |
  |:-------------:|:-----:|:----:|:---------------:|
  | 1.2348        | 1.0   | 1125 | 1.0185          |
  | 1.0082        | 2.0   | 2250 | 0.7174          |
  | 0.699         | 3.0   | 3375 | 0.3657          |
  | 0.45          | 4.0   | 4500 | 0.1880          |
  | 0.2915        | 5.0   | 5625 | 0.1140          |
  | 0.2056        | 6.0   | 6750 | 0.0708          |
  | 0.1312        | 7.0   | 7875 | 0.0616          |
  
  
  ### Framework versions
  
  - Transformers 4.18.0
  - Pytorch 1.10.0+cu111
  - Datasets 2.1.0
  - Tokenizers 0.12.1
  