KLTN_COQE_viT5_APSOL_v4

ThuyNT03/KLTN_COQE_viT5_APSOL_v4

KLTN_COQE_viT5_APSOL_v4 is a machine learning model from ThuyNT03. 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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At a glance

Library: transformers
License: mit
Model type: t5
Access: Public
Created: Dec 9, 2023
Updated: Dec 9, 2023
SHA: 8eca32aa

Base models

VietAI/vit5-large

Model card

From the Hugging Face model README

KLTN_COQE_viT5_APSOL_v4

This model is a fine-tuned version of VietAI/vit5-large on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.0008

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: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.8586	1.98	200	0.0880
0.1018	3.96	400	0.0376
0.0408	5.94	600	0.0127
0.0171	7.92	800	0.0034
0.0065	9.9	1000	0.0008

Framework versions

Transformers 4.35.0
Pytorch 2.0.0
Datasets 2.1.0
Tokenizers 0.14.1

Library: transformers
Type: t5
License: mit
Created: Dec 9, 2023
Updated: Dec 9, 2023