byt5-base-es_sja

mekjr1/byt5-base-es_sja

byt5-base-es_sja is a machine learning model from mekjr1. 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 12, 2023
Updated: Apr 13, 2023
SHA: d8e247c0

Model card

From the Hugging Face model README

byt5-base-es_sja

This model is a fine-tuned version of google/byt5-base on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.7290
Bleu: 4.2147
Gen Len: 99.2837

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: 16
eval_batch_size: 16
seed: 65
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10.0

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu	Gen Len
No log	1.0	397	1.0329	0.0222	19.0
1.5198	2.0	794	0.9034	0.0395	19.0
1.0351	3.0	1191	0.8492	0.0686	19.0
0.9326	4.0	1588	0.8077	0.0832	19.0
0.9326	5.0	1985	0.7786	0.0983	19.0
0.8785	6.0	2382	0.7610	0.0606	19.0
0.8436	7.0	2779	0.7446	0.065	19.0
0.8153	8.0	3176	0.7361	0.0618	19.0
0.7987	9.0	3573	0.7306	0.068	19.0
0.7987	10.0	3970	0.7290	0.0616	19.0

Framework versions

Transformers 4.27.4
Pytorch 2.0.0+cu118
Datasets 2.11.0
Tokenizers 0.13.3

Library: transformers
Type: t5
License: apache-2.0
Languages: es, sja
Created: Apr 12, 2023
Updated: Apr 13, 2023