readme: ---
  license: cc-by-4.0
  tags:
  - generated_from_trainer
  model-index:
  - name: roberta-base-squad-finetuned-squad
    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-squad-finetuned-squad
  
  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: 6.7060
  
  ## 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: 4
  - eval_batch_size: 4
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 10
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss |
  |:-------------:|:-----:|:----:|:---------------:|
  | No log        | 1.0   | 17   | 5.9055          |
  | No log        | 2.0   | 34   | 6.2285          |
  | No log        | 3.0   | 51   | 6.8639          |
  | No log        | 4.0   | 68   | 6.3238          |
  | No log        | 5.0   | 85   | 7.0916          |
  | No log        | 6.0   | 102  | 6.7791          |
  | No log        | 7.0   | 119  | 6.8093          |
  | No log        | 8.0   | 136  | 6.7029          |
  | No log        | 9.0   | 153  | 6.7142          |
  | No log        | 10.0  | 170  | 6.7060          |
  
  
  ### Framework versions
  
  - Transformers 4.21.0
  - Pytorch 1.11.0+cu102
  - Datasets 2.6.1
  - Tokenizers 0.12.1
  