pegasus-samsum-summarization

Khushiee/pegasus-samsum-summarization

pegasus-samsum-summarization is a machine learning model from Khushiee. 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 transformers.

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

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At a glance

Library: transformers
Model type: pegasus
Access: Public
Created: Oct 2, 2024
Updated: Oct 2, 2024
SHA: e9032fd4

Base models

google/pegasus-cnn_dailymail

Datasets

samsum

Model card

From the Hugging Face model README

pegasus-samsum-summarization

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

Loss: 1.3457

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: 1
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 2.5

Training results

Training Loss	Epoch	Step	Validation Loss
1.4048	0.5430	500	1.3786
1.305	1.0861	1000	1.3657
1.3105	1.6291	1500	1.3493
1.2527	2.1721	2000	1.3457

Framework versions

Transformers 4.44.2
Pytorch 2.4.1+cu121
Datasets 3.0.1
Tokenizers 0.19.1

Library: transformers
Type: pegasus
Created: Oct 2, 2024
Updated: Oct 2, 2024