Rud/bigbird_lora_multi_lexsum_bfloat16

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bigbirdloramultilexsumbfloat16

This model is a fine-tuned version of google/bigbird-pegasus-large-bigpatent on an unknown dataset. It achieves the following results on the evaluation set:

• —Loss: 9.2417
• —Rouge1: 0.1892
• —Rouge2: 0.0164
• —Rougel: 0.1384
• —Rougelsum: 0.1384
• —Gen Len: 214.7444

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: 2e-05
• —trainbatchsize: 1
• —evalbatchsize: 1
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —lrschedulerwarmup_ratio: 0.03
• —num_epochs: 2

Training results

Framework versions

• —PEFT 0.10.0
• —Transformers 4.40.0.dev0
• —Pytorch 2.2.2+cu121
• —Datasets 2.18.0
• —Tokenizers 0.15.2