metadata

license: apache-2.0
tags:
  - generated_from_trainer
model-index:
  - name: t5_base_question_generation
    results: []

t5_base_question_generation

This model is a fine-tuned version of t5-base on an SQUAD dataset for QA.

Model description

More information needed

Intended uses

The model takes context as an input sequence, and will generate a full question sentence as an output sequence. The max sequence length is 512 tokens. Inputs should be organised into the following format: <generate_questions> paragraph: context text here'

The input sequence can then be encoded and passed as the input_ids argument in the model's generate() method.

limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 5e-05
train_batch_size: 16
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.21
num_epochs: 5

Framework versions

Transformers 4.23.1
Pytorch 1.13.0
Datasets 2.6.1
Tokenizers 0.13.1