punctuation-nilc-t5-base

tiagoblima/punctuation-nilc-t5-base

punctuation-nilc-t5-base is a machine learning model from tiagoblima. 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 mit.

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

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At a glance

Library: transformers
License: mit
Model type: t5
Access: Public
Created: Nov 14, 2022
Updated: Nov 14, 2022
SHA: ac27b2ef

Model card

From the Hugging Face model README

punctuation-nilc-t5-base

This model is a fine-tuned version of unicamp-dl/ptt5-base-portuguese-vocab on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.0432
Bleu: 26.0973
Gen Len: 18.8694

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: 5e-05
train_batch_size: 2
eval_batch_size: 2
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5.0

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu	Gen Len
0.0544	1.0	4686	0.0442	25.989	18.8655
0.0367	2.0	9372	0.0371	25.9358	18.8713
0.0222	3.0	14058	0.0374	25.8976	18.8694
0.0152	4.0	18744	0.0409	26.1575	18.8694
0.0147	5.0	23430	0.0432	26.0973	18.8694

Framework versions

Transformers 4.24.0
Pytorch 1.12.1+cu113
Datasets 2.6.1
Tokenizers 0.13.2

Library: transformers
Type: t5
License: mit
Created: Nov 14, 2022
Updated: Nov 14, 2022