readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: door_inner_with_SA-bert-base-uncased
    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. -->
  
  # door_inner_with_SA-bert-base-uncased
  
  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: 2.1513
  
  ## 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: 6
  - eval_batch_size: 6
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 12
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss |
  |:-------------:|:-----:|:----:|:---------------:|
  | 2.5492        | 1.0   | 96   | 2.3831          |
  | 2.4031        | 2.0   | 192  | 2.2963          |
  | 2.3391        | 3.0   | 288  | 2.2000          |
  | 2.2951        | 4.0   | 384  | 2.2505          |
  | 2.2151        | 5.0   | 480  | 2.1691          |
  | 2.2237        | 6.0   | 576  | 2.1855          |
  | 2.1984        | 7.0   | 672  | 2.2558          |
  | 2.1749        | 8.0   | 768  | 2.2019          |
  | 2.1475        | 9.0   | 864  | 2.1310          |
  | 2.1446        | 10.0  | 960  | 2.1334          |
  | 2.1374        | 11.0  | 1056 | 2.1909          |
  | 2.1117        | 12.0  | 1152 | 2.2028          |
  
  
  ### Framework versions
  
  - Transformers 4.19.0
  - Pytorch 1.11.0+cu113
  - Datasets 2.2.1
  - Tokenizers 0.12.1
  