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results

This model is a fine-tuned version of google/flan-t5-base on question/answer pairs scraped from Quora. It achieves the following results on the evaluation set:

  • Loss: 2.9379

Intended uses & limitations

Closed book question answering. Prefix the inputs with "answer the question: "

Training and evaluation data

50,000 question/answer pairs scraped from Quora

Training procedure

Seq2Seq training described here: https://huggingface.co/docs/evaluate/transformers_integrations

Training hyperparameters

The following hyperparameters were used during training:

  • learning_rate: 0.0003
  • train_batch_size: 8
  • eval_batch_size: 4
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 2

Training results

Training Loss Epoch Step Validation Loss
3.158 1.0 5641 2.9785
3.0283 2.0 11282 2.9379

Framework versions

  • Transformers 4.32.0
  • Pytorch 2.0.0
  • Datasets 2.14.4
  • Tokenizers 0.13.3
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