stacked-summaries/flan-t5-large-samsum

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flan-t5-large-samsum

This model is a fine-tuned version of google/flan-t5-large on the samsum dataset.

It achieves the following results on the evaluation set:

• —Loss: 1.1754
• —Rouge1: 54.1595
• —Rouge2: 29.1081
• —Rougel: 45.4989
• —Rougelsum: 49.1026
• —Gen Len: 28.72

Note: the stacked version of this model technically does evaluation on a different validation set (the stacked one) while this just uses samsum.

Model description

More information needed

Intended uses & limitations

• —Intended for comparison(s) to the stacked version of this model
• —1024 token input max

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• —learning_rate: 0.0001
• —trainbatchsize: 8
• —evalbatchsize: 4
• —seed: 17868
• —distributed_type: multi-GPU
• —gradientaccumulationsteps: 16
• —totaltrainbatch_size: 128
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: cosine
• —lrschedulerwarmup_ratio: 0.04
• —num_epochs: 5.0

Training results