long-t5-tglobal-xl-sci-simplify-elife

long-t5-tglobal-xl-sci-simplify-elife

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

• Loss: 1.6666
• Rouge1: 47.1446
• Rouge2: 14.2158
• Rougel: 23.3524
• Rougelsum: 44.6063
• Gen Len: 431.22

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

the pszemraj/scientific_lay_summarisation-elife-norm dataset, input 16384 tokens then truncate, output 1024 tokens then truncate.

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 8e-05
• train_batch_size: 1
• eval_batch_size: 1
• seed: 6963
• gradient_accumulation_steps: 8
• total_train_batch_size: 8
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• lr_scheduler_warmup_ratio: 0.02
• num_epochs: 2.0

Training results