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roberta-finetuned-qa-policy

This model is a fine-tuned version of deepset/roberta-base-squad2 on the Policy_QA dataset.

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

Policy QA

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

  • learning_rate: 2e-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: 5
  • mixed_precision_training: Native AMP

Training results

Framework versions

  • Transformers 4.26.0
  • Pytorch 1.13.1+cu116
  • Datasets 2.9.0
  • Tokenizers 0.13.2
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Dataset used to train ppsingh/roberta-finetuned-qa-policy