dialogsum_model_pegasus

tanjinadnanabir/dialogsum_model_pegasus

dialogsum_model_pegasus is a machine learning model from tanjinadnanabir. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft.

should probably proofread and complete it, then remove this comment. --

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Hugging Face

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At a glance

Library: peft
Access: Public
Created: Nov 28, 2025
Updated: Nov 28, 2025
SHA: f0f9cb22

Base models

google/pegasus-xsum

Model card

From the Hugging Face model README

dialogsum_model_pegasus

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

Loss: 1.6493
Rouge1: 0.4119
Rouge2: 0.1946
Rougel: 0.3503
Rougelsum: 0.3498
Bleu: 0.0765
Bertscore F1: 0.9075

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: 5e-05
train_batch_size: 4
eval_batch_size: 4
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Bleu	Bertscore F1
1.836	1.0	3683	1.6492	0.4119	0.1946	0.3503	0.3498	0.0765	0.9075
1.8213	2.0	7366	1.6493	0.4119	0.1946	0.3503	0.3498	0.0765	0.9075
1.8193	3.0	11049	1.6493	0.4119	0.1946	0.3503	0.3498	0.0765	0.9075

Framework versions

PEFT 0.18.0
Transformers 4.57.3
Pytorch 2.9.0+cu126
Datasets 4.4.1
Tokenizers 0.22.1

Library: peft
Created: Nov 28, 2025
Updated: Nov 28, 2025