t5-small-finetuned-news

Aakkash/t5-small-finetuned-news

t5-small-finetuned-news is a machine learning model from Aakkash. 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: Sep 17, 2023
Updated: Sep 17, 2023
SHA: 7b0e4a95

Base models

Model card

From the Hugging Face model README

t5-small-finetuned-news

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

Loss: 1.9959
Rouge1: 0.3606
Rouge2: 0.1649
Rougel: 0.2945
Rougelsum: 0.2945
Gen Len: 18.7588

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: 4

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
2.2911	1.0	510	2.0560	0.3537	0.1569	0.2881	0.2883	18.7647
2.1554	2.0	1020	2.0139	0.3558	0.1611	0.2915	0.2917	18.7304
2.1213	3.0	1530	2.0008	0.3596	0.1643	0.2931	0.2929	18.7431
2.1109	4.0	2040	1.9959	0.3606	0.1649	0.2945	0.2945	18.7588

Framework versions

Transformers 4.33.2
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.13.3

Library: transformers
Type: t5
License: apache-2.0
Created: Sep 17, 2023
Updated: Sep 17, 2023