oop-de-qg-flan-t5-base-v1

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oop-de-qag-flan-t5-base

This model is a fine-tuned version of google/flan-t5-base on the dataset LunaticTanuki/oop-de-qg-v1. It achieves the following results on the evaluation set:

• Loss: 2.1427
• Rouge1: 22.9468
• Rouge2: 9.8345
• Rougel: 21.0791
• Rougelsum: 21.0408
• Gen Len: 16.2656

Model description

The model generates a question based on a paragraph as input.

Intended uses & limitations

The model was trained on data specifically targeting questions regarding object-oriented programming, so it only performs reliable in related topics.

Training and evaluation data

The paragraph and questions were used from the training dataset and validation dataset: LunaticTanuki/oop-de-qg-v1

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 5e-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: 8

Training results

Framework versions

• Transformers 4.35.2
• Pytorch 2.1.0+cu118
• Datasets 2.15.0
• Tokenizers 0.15.0