chinese_news_title_model

HomoLiang/chinese_news_title_model

chinese_news_title_model is a machine learning model from HomoLiang. 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: Oct 28, 2023
Updated: Oct 28, 2023
SHA: 4472406d

Base models

Model card

From the Hugging Face model README

chinese_news_title_model

This model is a fine-tuned version of t5-small on the None dataset. It achieves the following results on the evaluation set:

Loss: 2.8328
Rouge1: 0.0443
Rouge2: 0.0125
Rougel: 0.0429
Rougelsum: 0.04
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: 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: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
No log	1.0	5	2.9302	0.0443	0.0125	0.0429	0.04	19.0
No log	2.0	10	2.8328	0.0443	0.0125	0.0429	0.04	19.0

Framework versions

Transformers 4.33.0
Pytorch 2.0.0
Datasets 2.1.0
Tokenizers 0.13.3

Library: transformers
Type: t5
License: apache-2.0
Created: Oct 28, 2023
Updated: Oct 28, 2023