BartTay

FiveC/BartTay

BartTay is a machine learning model from FiveC. 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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109 GB on disk

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Hugging Face

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At a glance

Library: transformers
License: mit
Model type: mbart
Access: Public
Created: Oct 7, 2025
Updated: Oct 10, 2025
SHA: 4796a22d

Base models

vinai/bartpho-syllable

Model card

From the Hugging Face model README

BartTay

This model is a fine-tuned version of vinai/bartpho-syllable on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 4.6886

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: 8
eval_batch_size: 8
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 15
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	45	5.9733
No log	2.0	90	5.9003
No log	3.0	135	5.6155
No log	4.0	180	5.5120
No log	5.0	225	5.4180
No log	6.0	270	5.1716
No log	7.0	315	5.2570
No log	8.0	360	5.0764
No log	9.0	405	4.9511
No log	10.0	450	4.8147
No log	11.0	495	4.6616
5.5211	12.0	540	4.7865
5.5211	13.0	585	4.7858
5.5211	14.0	630	4.7064

Framework versions

Transformers 4.57.0
Pytorch 2.8.0+cu126
Datasets 3.1.0
Tokenizers 0.22.1

Library: transformers
Type: mbart
License: mit
Created: Oct 7, 2025
Updated: Oct 10, 2025