cnn_news_summary_model_trained_on_reduced_data

shiridisaibaba22/cnn_news_summary_model_trained_on_reduced_data

cnn_news_summary_model_trained_on_reduced_data is a machine learning model from shiridisaibaba22. 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. 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

Library: transformers
License: apache-2.0
Model type: t5
Access: Public
Created: Jun 16, 2025
Updated: Jun 16, 2025
SHA: 63791de7

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.

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: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 1
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Generated Length
No log	1.0	144	1.9070	0.2375	0.0953	0.194	0.1938	20.0

Framework versions

Transformers 4.52.4
Pytorch 2.6.0+cu124
Datasets 3.6.0
Tokenizers 0.21.1

Library: transformers
Type: t5
License: apache-2.0
Created: Jun 16, 2025
Updated: Jun 16, 2025