scott156/LongT5-XLarge-NSPCC

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LongT5-XLarge-NSPCC

This model is a fine-tuned version of google/long-t5-tglobal-xl on an unknown dataset. It achieves the following results on the evaluation set:

• —Loss: 0.6843
• —Rouge1: 0.5138
• —Rouge2: 0.2297
• —Rougel: 0.2999
• —Rougelsum: 0.2995
• —Gen Len: 337.6809

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: 1
• —evalbatchsize: 1
• —seed: 42
• —gradientaccumulationsteps: 4
• —totaltrainbatch_size: 4
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: cosine
• —lrschedulerwarmup_ratio: 0.03
• —num_epochs: 4

Training results

Framework versions

• —PEFT 0.10.0
• —Transformers 4.40.1
• —Pytorch 2.2.1+cu121
• —Datasets 2.19.0
• —Tokenizers 0.19.1