PhoBERT-Final_VietNam-aug_replace_BERT

ThuyNT03/PhoBERT-Final_VietNam-aug_replace_BERT

PhoBERT-Final_VietNam-aug_replace_BERT is a text classification model from ThuyNT03. Use it when you need a label for a piece of text. It is set up for transformers.

should probably proofread and complete it, then remove this comment. --

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At a glance

Task: Text Classification
Library: transformers
Model type: roberta
Access: Public
Created: Aug 30, 2023
Updated: Aug 30, 2023
SHA: debd451b

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Base models

vinai/phobert-base-v2

Model card

From the Hugging Face model README

PhoBERT-train-aug_replace_BERT

This model is a fine-tuned version of vinai/phobert-base-v2 on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.8851
Accuracy: 0.73
F1: 0.7367

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: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 8

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
0.9637	1.0	87	0.7521	0.66	0.6279
0.7073	2.0	174	0.6823	0.72	0.7205
0.5577	3.0	261	0.6414	0.77	0.7756
0.4318	4.0	348	0.6921	0.72	0.7282
0.3264	5.0	435	0.7072	0.75	0.7582
0.2414	6.0	522	0.8043	0.72	0.7275
0.1956	7.0	609	0.8481	0.72	0.7297
0.1621	8.0	696	0.8851	0.73	0.7367

Framework versions

Transformers 4.32.1
Pytorch 2.0.1+cu118
Datasets 2.14.4
Tokenizers 0.13.3

Task: Text Classification
Library: transformers
Type: roberta
Created: Aug 30, 2023
Updated: Aug 30, 2023