caffsean/t5-large-finetune-keyword-to-text-generation

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t5-large-finetune-keyword-to-text-generation

This model is a fine-tuned version of t5-large on an unknown dataset. It achieves the following results on the evaluation set:

• —Loss: 3.1471
• —Rouge1: 2.175
• —Rouge2: 0.3661
• —Rougel: 1.7927
• —Rougelsum: 1.7951
• —Gen Len: 15.3252

Model description

This model is designed to generate text from a single keyword. This project is intended to be used for generating vocabulary questions for ed-tech applications.

NOTE!: Be sure to use the 'summarize: ' prefix before the word that you would like to un-summarize.

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• —learning_rate: 2e-05
• —trainbatchsize: 8
• —evalbatchsize: 8
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —num_epochs: 10

Training results

Framework versions

• —Transformers 4.21.2
• —Pytorch 1.12.1+cu113
• —Datasets 2.4.0
• —Tokenizers 0.12.1