multi_news_jsy_sum

sungyooon/multi_news_jsy_sum

multi_news_jsy_sum is a machine learning model from sungyooon. 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.

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

Downloads · 30 days

4% of all-time downloads

All-time downloads

206

Public

Repo size

376 MB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.h5374 MB · 99%

At a glance

Library: transformers
License: apache-2.0
Model type: t5
Access: Public
Created: Jun 6, 2023
Updated: Jun 6, 2023
SHA: 609987a0

Model card

From the Hugging Face model README

sungyooon/t5-small-finetuned-xsum

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

Train Loss: 2.9968
Validation Loss: 2.6812
Train Rouge1: 14.9106
Train Rouge2: 4.8392
Train Rougel: 11.3900
Train Rougelsum: 13.1661
Train Gen Len: 18.9968
Epoch: 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:

optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
training_precision: float32

Training results

Train Loss	Validation Loss	Train Rouge1	Train Rouge2	Train Rougel	Train Rougelsum	Train Gen Len	Epoch
2.9968	2.6812	14.9106	4.8392	11.3900	13.1661	18.9968	0

Framework versions

Transformers 4.29.2
TensorFlow 2.12.0
Datasets 2.12.0
Tokenizers 0.13.3

Library: transformers
Type: t5
License: apache-2.0
Created: Jun 6, 2023
Updated: Jun 6, 2023