pegasus-Finetuned-sum-full-note-v1

This model is a fine-tuned version of google/bigbird-pegasus-large-pubmed on the None dataset. It achieves the following results on the evaluation set:

• Loss: 2.1342
• Rouge1: 0.3559
• Rouge2: 0.1524
• Rougel: 0.2273

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
• train_batch_size: 1
• eval_batch_size: 1
• seed: 42
• optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• num_epochs: 1
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel
3.8629	1.0	800	2.1342	0.3559	0.1524	0.2273

Framework versions

• Transformers 4.51.3
• Pytorch 2.6.0+cu124
• Datasets 3.5.0
• Tokenizers 0.21.1