cnn_news_summary_model_trained_on_reduced_data

arv2023/cnn_news_summary_model_trained_on_reduced_data

cnn_news_summary_model_trained_on_reduced_data is a machine learning model from arv2023. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.

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

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At a glance

License: apache-2.0
Model type: t5
Access: Public
Created: Aug 3, 2024
Updated: Aug 3, 2024
SHA: 67579ee0

Base models

Model card

From the Hugging Face model README

cnn_news_summary_model_trained_on_reduced_data

This model is a fine-tuned version of t5-small on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 1.6033
Rouge1: 0.2173
Rouge2: 0.094
Rougel: 0.1831
Rougelsum: 0.183
Generated Length: 19.0

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: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Generated Length
No log	1.0	431	1.6238	0.2169	0.0934	0.1821	0.1821	19.0
1.9204	2.0	862	1.6065	0.217	0.0937	0.1827	0.1826	19.0
1.8219	3.0	1293	1.6033	0.2173	0.094	0.1831	0.183	19.0

Framework versions

Transformers 4.41.2
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1

Type: t5
License: apache-2.0
Created: Aug 3, 2024
Updated: Aug 3, 2024