readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: bert-base-uncased-finetuned-QnA-v1
    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-finetuned-QnA-v1
  
  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: 2.7610
  
  ## 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: 8
  - eval_batch_size: 8
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 20
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss |
  |:-------------:|:-----:|:----:|:---------------:|
  | No log        | 1.0   | 39   | 3.3668          |
  | No log        | 2.0   | 78   | 3.2134          |
  | No log        | 3.0   | 117  | 3.1685          |
  | No log        | 4.0   | 156  | 3.1042          |
  | No log        | 5.0   | 195  | 3.1136          |
  | No log        | 6.0   | 234  | 2.9051          |
  | No log        | 7.0   | 273  | 2.9077          |
  | No log        | 8.0   | 312  | 2.9774          |
  | No log        | 9.0   | 351  | 2.9321          |
  | No log        | 10.0  | 390  | 2.9501          |
  | No log        | 11.0  | 429  | 2.8544          |
  | No log        | 12.0  | 468  | 2.8761          |
  | 3.0255        | 13.0  | 507  | 2.8152          |
  | 3.0255        | 14.0  | 546  | 2.8046          |
  | 3.0255        | 15.0  | 585  | 2.6979          |
  | 3.0255        | 16.0  | 624  | 2.6379          |
  | 3.0255        | 17.0  | 663  | 2.7091          |
  | 3.0255        | 18.0  | 702  | 2.6914          |
  | 3.0255        | 19.0  | 741  | 2.7403          |
  | 3.0255        | 20.0  | 780  | 2.7479          |
  
  
  ### Framework versions
  
  - Transformers 4.11.3
  - Pytorch 1.9.0+cu111
  - Datasets 1.14.0
  - Tokenizers 0.10.3
  