multi_news_article_title_25000_2

abdulmatinomotoso/multi_news_article_title_25000_2

multi_news_article_title_25000_2 is a machine learning model from abdulmatinomotoso. 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: Aug 8, 2022
Updated: Aug 8, 2022
SHA: 719ad8da

Model card

From the Hugging Face model README

multi_news_article_title_25000_2

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

Loss: 0.1740

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

Training results

Training Loss	Epoch	Step	Validation Loss
0.3431	0.32	500	0.2731
0.2136	0.64	1000	0.2028
0.215	0.96	1500	0.1880
0.1972	1.28	2000	0.1809
0.1903	1.6	2500	0.1760
0.1886	1.92	3000	0.1740

Framework versions

Transformers 4.18.0
Pytorch 1.11.0
Datasets 2.1.0
Tokenizers 0.12.1

Library: transformers
Type: pegasus
Created: Aug 8, 2022
Updated: Aug 8, 2022