readme: ---
  license: cc-by-4.0
  tags:
  - generated_from_trainer
  model-index:
  - name: bert-base-cased-squad2-coffee20230108
    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-coffee20230108
  
  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: 4.3047
  
  ## 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   | 91   | 1.9687          |
  | 2.3297        | 2.0   | 182  | 1.7777          |
  | 1.5351        | 3.0   | 273  | 1.9963          |
  | 0.9318        | 4.0   | 364  | 2.1472          |
  | 0.6973        | 5.0   | 455  | 2.3928          |
  | 0.4767        | 6.0   | 546  | 2.4984          |
  | 0.3988        | 7.0   | 637  | 2.7923          |
  | 0.2823        | 8.0   | 728  | 3.2482          |
  | 0.1804        | 9.0   | 819  | 3.2490          |
  | 0.1104        | 10.0  | 910  | 3.6360          |
  | 0.0835        | 11.0  | 1001 | 3.8134          |
  | 0.0835        | 12.0  | 1092 | 4.1694          |
  | 0.0388        | 13.0  | 1183 | 4.2699          |
  | 0.0371        | 14.0  | 1274 | 4.2752          |
  | 0.0147        | 15.0  | 1365 | 4.3047          |
  
  
  ### Framework versions
  
  - Transformers 4.25.1
  - Pytorch 1.11.0+cu113
  - Datasets 2.8.0
  - Tokenizers 0.13.2
  