phobert-finetuned-sentiment

SweetMask/phobert-finetuned-sentiment

phobert-finetuned-sentiment is a text classification model from SweetMask. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as agpl-3.0.

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

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At a glance

Task: Text Classification
Library: transformers
License: agpl-3.0
Model type: roberta
Access: Public
Created: Oct 4, 2024
Updated: Oct 4, 2024
SHA: 6c982a4b

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Base models

vinai/phobert-base-v2

Model card

From the Hugging Face model README

phobert-finetuned-sentiment

This model is a fine-tuned version of vinai/phobert-base-v2 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.6298
Accuracy: 0.8429
F1: 0.8333

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: 3.0

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
No log	1.0	298	0.3806	0.8369	0.8212
0.3856	2.0	596	0.5599	0.8399	0.8317
0.3856	3.0	894	0.6298	0.8429	0.8333

Framework versions

Transformers 4.44.2
Pytorch 2.4.1+cu121
Datasets 3.0.1
Tokenizers 0.19.1

Task: Text Classification
Library: transformers
Type: roberta
License: agpl-3.0
Created: Oct 4, 2024
Updated: Oct 4, 2024