readme: ---
  license: cc-by-4.0
  tags:
  - generated_from_trainer
  model-index:
  - name: roberta-base-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. -->
  
  # roberta-base-squad2-coffee20230108
  
  This model is a fine-tuned version of [deepset/roberta-base-squad2](https://huggingface.co/deepset/roberta-base-squad2) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 4.2379
  
  ## 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   | 90   | 1.6912          |
  | 1.8817        | 2.0   | 180  | 1.7054          |
  | 1.3233        | 3.0   | 270  | 1.6376          |
  | 0.9894        | 4.0   | 360  | 2.1005          |
  | 0.7526        | 5.0   | 450  | 2.7104          |
  | 0.6553        | 6.0   | 540  | 2.2928          |
  | 0.5512        | 7.0   | 630  | 2.6380          |
  | 0.4148        | 8.0   | 720  | 2.8010          |
  | 0.2964        | 9.0   | 810  | 3.1167          |
  | 0.2538        | 10.0  | 900  | 3.5313          |
  | 0.2538        | 11.0  | 990  | 3.6620          |
  | 0.1918        | 12.0  | 1080 | 4.1138          |
  | 0.1363        | 13.0  | 1170 | 4.0901          |
  | 0.1606        | 14.0  | 1260 | 4.2286          |
  | 0.1162        | 15.0  | 1350 | 4.2379          |
  
  
  ### Framework versions
  
  - Transformers 4.25.1
  - Pytorch 1.11.0+cu113
  - Datasets 2.8.0
  - Tokenizers 0.13.2
  