Z-H-Che/keyword-summarizer-10000-v1

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keyword-summarizer-10000-v1

This model is a fine-tuned version of google/flan-t5-base on the None dataset. It achieves the following results on the evaluation set:

• —Loss: 0.0126
• —Rouge1: 0.7499
• —Rouge2: 0.6775
• —Rougel: 0.7490
• —Rougelsum: 0.7488

Model description

More information needed

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: 0.0003
• —trainbatchsize: 8
• —evalbatchsize: 4
• —seed: 42
• —optimizer: Use adamwtorch with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
• —lrschedulertype: linear
• —num_epochs: 4

Training results

Framework versions

• —Transformers 4.46.2
• —Pytorch 2.5.1+cu121
• —Datasets 3.1.0
• —Tokenizers 0.20.3