toughdata/flan-t5-base-quora-question-answer

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