rut5_gazeta_title_generation

sanikaska/rut5_gazeta_title_generation

rut5_gazeta_title_generation is a machine learning model from sanikaska. 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.

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

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At a glance

Library: transformers
Model type: t5
Access: Public
Created: May 11, 2024
Updated: May 16, 2024
SHA: 4e19ca27

Datasets

gazeta

Model card

From the Hugging Face model README

rut5_gazeta_title_generation

This model is a fine-tuned version of sanikaska/rut5_gazeta_title_generation on the gazeta dataset. It achieves the following results on the evaluation set:

Loss: 2.5882
Rouge1: 0.0594
Rouge2: 0.0105
Rougel: 0.0592
Rougelsum: 0.0592
Gen Len: 9.6443

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: 4
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
2.756	1.0	2500	2.4833	0.0516	0.0087	0.0514	0.0513	10.4538
2.4648	2.0	5000	2.4972	0.0583	0.0108	0.0582	0.0581	9.9832
2.306	3.0	7500	2.5375	0.0594	0.0104	0.0592	0.0592	9.4259
2.1811	4.0	10000	2.5882	0.0594	0.0105	0.0592	0.0592	9.6443

Framework versions

Transformers 4.40.2
Pytorch 2.2.1+cu121
Datasets 2.19.1
Tokenizers 0.19.1

Library: transformers
Type: t5
Created: May 11, 2024
Updated: May 16, 2024