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pszemraj/long-t5-tglobal-large-pubmed-3k-booksum-16384-WIP17

sourceHugging Faceapache-2.0updated 8mo agoView on Hugging Face

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long-t5-tglobal-large-pubmed-3k-booksum-16384-WIP17

This model is a fine-tuned version of pszemraj/long-t5-tglobal-large-pubmed-3k-booksum-16384-WIP16 on the kmfoda/booksum dataset.

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: 0.0001
—trainbatchsize: 1
—evalbatchsize: 1
—seed: 42
—distributed_type: multi-GPU
—gradientaccumulationsteps: 64
—totaltrainbatch_size: 64
—optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
—lrschedulertype: cosine
—lrschedulerwarmup_ratio: 0.01
—num_epochs: 3

Framework versions

—Transformers 4.23.0.dev0
—Pytorch 1.10.0+cu113
—Datasets 2.5.1
—Tokenizers 0.12.1