byt5-base-es_azz

mekjr1/byt5-base-es_azz

byt5-base-es_azz 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: bb2e954a

Model card

From the Hugging Face model README

byt5-base-es_azz

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: 0.6919
Bleu: 5.6493
Gen Len: 100.7258

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	398	1.0151	0.1174	19.0
1.4581	2.0	796	0.8914	0.1875	19.0
1.0266	3.0	1194	0.8158	0.192	19.0
0.9168	4.0	1592	0.7706	0.2543	19.0
0.9168	5.0	1990	0.7434	0.3107	19.0
0.857	6.0	2388	0.7259	0.2904	19.0
0.8163	7.0	2786	0.7096	0.308	19.0
0.7885	8.0	3184	0.6969	0.2693	19.0
0.7718	9.0	3582	0.6932	0.3197	19.0
0.7718	10.0	3980	0.6919	0.2997	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, azz
Created: Apr 12, 2023
Updated: Apr 13, 2023