readme: ---
  license: cc-by-4.0
  tags:
  - generated_from_trainer
  model-index:
  - name: bert-base-cased-squad2-coffee20230113
    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-cased-squad2-coffee20230113
  
  This model is a fine-tuned version of [deepset/bert-base-cased-squad2](https://huggingface.co/deepset/bert-base-cased-squad2) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 4.3859
  
  ## 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: 8
  - eval_batch_size: 8
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - lr_scheduler_warmup_steps: 500
  - num_epochs: 15
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss |
  |:-------------:|:-----:|:----:|:---------------:|
  | No log        | 1.0   | 88   | 2.0785          |
  | 2.2589        | 2.0   | 176  | 1.9542          |
  | 1.4038        | 3.0   | 264  | 1.7714          |
  | 0.9533        | 4.0   | 352  | 2.2673          |
  | 0.5394        | 5.0   | 440  | 2.5496          |
  | 0.4353        | 6.0   | 528  | 3.2302          |
  | 0.4201        | 7.0   | 616  | 3.7247          |
  | 0.2477        | 8.0   | 704  | 3.4248          |
  | 0.2477        | 9.0   | 792  | 3.8344          |
  | 0.1633        | 10.0  | 880  | 4.1582          |
  | 0.0979        | 11.0  | 968  | 3.8764          |
  | 0.0621        | 12.0  | 1056 | 4.1686          |
  | 0.0242        | 13.0  | 1144 | 4.2762          |
  | 0.0091        | 14.0  | 1232 | 4.4176          |
  | 0.0061        | 15.0  | 1320 | 4.3859          |
  
  
  ### Framework versions
  
  - Transformers 4.25.1
  - Pytorch 1.11.0+cu113
  - Datasets 2.8.0
  - Tokenizers 0.13.2
  