byt5-base-es_mim

mekjr1/byt5-base-es_mim

byt5-base-es_mim 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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At a glance

Library: transformers
License: apache-2.0
Model type: t5
Access: Public
Created: Apr 12, 2023
Updated: Apr 13, 2023
SHA: de2bbc2f

Model card

From the Hugging Face model README

byt5-base-es_mim

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: 0.5603
Bleu: 8.1209
Gen Len: 100.8969

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	0.8136	0.014	19.0
1.246	2.0	796	0.7000	0.1109	19.0
0.8026	3.0	1194	0.6451	0.1504	19.0
0.7162	4.0	1592	0.6196	0.1224	19.0
0.7162	5.0	1990	0.5964	0.1486	19.0
0.6704	6.0	2388	0.5814	0.2053	19.0
0.6399	7.0	2786	0.5736	0.2048	19.0
0.6201	8.0	3184	0.5680	0.1875	19.0
0.6074	9.0	3582	0.5626	0.2047	19.0
0.6074	10.0	3980	0.5603	0.2074	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, mim
Created: Apr 12, 2023
Updated: Apr 13, 2023