pegasus-samsum

CarlBrendt/pegasus-samsum

pegasus-samsum is a machine learning model from CarlBrendt. 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: Dec 19, 2023
Updated: Dec 20, 2023
SHA: e9bd4a87

Base models

google/pegasus-cnn_dailymail

Model card

From the Hugging Face model README

pegasus-samsum

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

Loss: 1.6034

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: 1

Training results

Training Loss	Epoch	Step	Validation Loss
2.1537	0.11	500	2.0863
1.9761	0.21	1000	1.8822
1.892	0.32	1500	1.7913
1.8575	0.42	2000	1.7172
1.7898	0.53	2500	1.6785
1.7663	0.63	3000	1.6508
1.6782	0.74	3500	1.6347
1.7025	0.85	4000	1.6098
1.6642	0.95	4500	1.6034

Framework versions

Transformers 4.36.2
Pytorch 2.1.0+cu121
Datasets 2.15.0
Tokenizers 0.15.0

Library: transformers
Type: pegasus
Created: Dec 19, 2023
Updated: Dec 20, 2023