flan-t5-base-finetuned-python_qa_v2

This model is a fine-tuned version of google/flan-t5-base on the Python Questions from Stack Overflow dataset.

It achieves the following results on the evaluation set:

• Loss: 1.9023
• Rouge1: 0.1919
• Rouge2: 0.0535
• Rougel: 0.1492
• Rougelsum: 0.1655

Model description

More information needed

Intended uses & limitations

• Question answering

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 0.0001
• 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: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum
2.0314	1.0	2000	1.9083	0.1876	0.0546	0.1485	0.1640
1.9586	2.0	4000	1.9031	0.1896	0.0531	0.1485	0.1643
1.923	3.0	6000	1.9023	0.1919	0.0535	0.1492	0.1655

Framework versions

• Transformers 4.34.1
• Pytorch 2.1.0+cu118
• Datasets 2.14.5
• Tokenizers 0.14.1