readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: bert-base-uncased-New_data_bert1
    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-base-uncased-New_data_bert1
  
  This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 1.9215
  
  ## 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: 4
  - eval_batch_size: 4
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 16
  
  ### Training results
  
  | Training Loss | Epoch | Step  | Validation Loss |
  |:-------------:|:-----:|:-----:|:---------------:|
  | 2.4496        | 1.0   | 2018  | 2.2066          |
  | 2.2532        | 2.0   | 4036  | 2.1438          |
  | 2.1572        | 3.0   | 6054  | 2.1046          |
  | 2.0839        | 4.0   | 8072  | 2.0943          |
  | 2.0222        | 5.0   | 10090 | 2.0573          |
  | 1.9608        | 6.0   | 12108 | 2.0188          |
  | 1.9123        | 7.0   | 14126 | 2.0008          |
  | 1.8666        | 8.0   | 16144 | 2.0063          |
  | 1.8305        | 9.0   | 18162 | 1.9607          |
  | 1.7958        | 10.0  | 20180 | 1.9702          |
  | 1.7498        | 11.0  | 22198 | 1.9635          |
  | 1.7172        | 12.0  | 24216 | 1.9404          |
  | 1.695         | 13.0  | 26234 | 1.9455          |
  | 1.6628        | 14.0  | 28252 | 1.9269          |
  | 1.6558        | 15.0  | 30270 | 1.9173          |
  | 1.6293        | 16.0  | 32288 | 1.9215          |
  
  
  ### Framework versions
  
  - Transformers 4.21.1
  - Pytorch 1.12.1+cu113
  - Datasets 2.4.0
  - Tokenizers 0.12.1
  