byt5-base-es_ngu

mekjr1/byt5-base-es_ngu

byt5-base-es_ngu 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: 5fadc5ba

Model card

From the Hugging Face model README

byt5-base-es_ngu

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: 0.6839
Bleu: 8.2072
Gen Len: 97.5599

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	1.0434	0.0481	19.0
1.5127	2.0	794	0.9015	0.0772	19.0
1.0539	3.0	1191	0.8207	0.0991	19.0
0.932	4.0	1588	0.7716	0.0925	19.0
0.932	5.0	1985	0.7394	0.1292	19.0
0.8578	6.0	2382	0.7168	0.1101	19.0
0.8102	7.0	2779	0.6981	0.1465	19.0
0.7837	8.0	3176	0.6898	0.1574	19.0
0.7597	9.0	3573	0.6846	0.1562	19.0
0.7597	10.0	3970	0.6839	0.1592	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, ngu
Created: Apr 12, 2023
Updated: Apr 13, 2023