sentiment_model_3

NabiilNajm26/sentiment_model_3

sentiment_model_3 is a text classification model from NabiilNajm26. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as apache-2.0.

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

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At a glance

Task: Text Classification
Library: transformers
License: apache-2.0
Model type: bert
Access: Public
Created: Jun 23, 2023
Updated: Jun 23, 2023
SHA: 3f56d889

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Datasets

indonlu

Model card

From the Hugging Face model README

sentiment_model_3

This model is a fine-tuned version of indolem/indobertweet-base-uncased on the indonlu dataset. It achieves the following results on the evaluation set:

Loss: 0.2301
Accuracy: 0.9468
Precision: 0.9299
Recall: 0.9227
F1: 0.9257

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: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1
0.2455	1.0	688	0.1740	0.9476	0.9138	0.9366	0.9246
0.1266	2.0	1376	0.1898	0.9516	0.9388	0.9284	0.9332
0.0717	3.0	2064	0.2301	0.9468	0.9299	0.9227	0.9257

Framework versions

Transformers 4.30.2
Pytorch 2.0.1+cu118
Datasets 2.13.1
Tokenizers 0.13.3

Task: Text Classification
Library: transformers
Type: bert
License: apache-2.0
Created: Jun 23, 2023
Updated: Jun 23, 2023