gy_Jeolla_test

yomilimi/gy_Jeolla_test

gy_Jeolla_test is a machine learning model from yomilimi. 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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Hugging Face

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At a glance

Library: transformers
License: mit
Model type: bart
Access: Public
Created: Jun 10, 2024
Updated: Jun 10, 2024
SHA: 994d3fea

Base models

yomilimi/Gyeongsang_encoder

Model card

From the Hugging Face model README

gy_Jeolla_test

This model is a fine-tuned version of yomilimi/Gyeongsang_encoder on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.0642
Bleu: 80.4544
Gen Len: 14.1795

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: 2e-05
train_batch_size: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu	Gen Len
0.0737	1.0	15477	0.0721	78.571	14.2081
0.0685	2.0	30954	0.0655	80.1472	14.1847
0.0643	3.0	46431	0.0642	80.4544	14.1795

Framework versions

Transformers 4.42.0.dev0
Pytorch 2.2.1+cu121
Datasets 2.19.2
Tokenizers 0.19.1

Library: transformers
Type: bart
License: mit
Created: Jun 10, 2024
Updated: Jun 10, 2024