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NazzX1/
pegasus-Finetuned-sum-full-note-v1

Name: pegasus-Finetuned-sum-full-note-v1
Availability: InStock

generated_from_trainer

google/bigbird-pegasus-large-pubmed

finetune

apache-2.0

endpoints_compatible

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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

NazzX1/pegasus-Finetuned-sum-full-note-v1

pegasus-Finetuned-sum-full-note-v1

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

NazzX1/
pegasus-Finetuned-sum-full-note-v1