multi_news_model

Sif10/multi_news_model

multi_news_model is a machine learning model from Sif10. 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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Hugging Face

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At a glance

Library: transformers
License: apache-2.0
Model type: t5
Access: Public
Created: Apr 18, 2024
Updated: Apr 18, 2024
SHA: 73d63592

Base models

google-t5/t5-base

Model card

From the Hugging Face model README

multi_news_model

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

Loss: 2.1888
Rouge1: 0.1572
Rouge2: 0.0532
Rougel: 0.1196
Rougelsum: 0.1196
Gen Len: 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: 4
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
2.385	1.0	11243	2.1888	0.1572	0.0532	0.1196	0.1196	19.0

Framework versions

Transformers 4.39.3
Pytorch 2.1.2
Datasets 2.18.0
Tokenizers 0.15.2

Library: transformers
Type: t5
License: apache-2.0
Created: Apr 18, 2024
Updated: Apr 18, 2024