readme: ---
  license: cc-by-4.0
  tags:
  - generated_from_trainer
  model-index:
  - name: roberta-base-squad2-ta-qna-roberta10e
    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-ta-qna-roberta10e
  
  This model is a fine-tuned version of [deepset/roberta-base-squad2](https://huggingface.co/deepset/roberta-base-squad2) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.2952
  
  ## 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: 3e-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: 10
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss |
  |:-------------:|:-----:|:----:|:---------------:|
  | No log        | 1.0   | 87   | 0.5890          |
  | No log        | 2.0   | 174  | 0.4194          |
  | No log        | 3.0   | 261  | 0.3104          |
  | No log        | 4.0   | 348  | 0.3037          |
  | No log        | 5.0   | 435  | 0.2723          |
  | 0.2889        | 6.0   | 522  | 0.2368          |
  | 0.2889        | 7.0   | 609  | 0.2974          |
  | 0.2889        | 8.0   | 696  | 0.2923          |
  | 0.2889        | 9.0   | 783  | 0.2936          |
  | 0.2889        | 10.0  | 870  | 0.2952          |
  
  
  ### Framework versions
  
  - Transformers 4.22.1
  - Pytorch 1.12.1+cu113
  - Datasets 2.4.0
  - Tokenizers 0.12.1
  