stunting-medsos-sentiment – AI Model by hiseulgi | AlphaNeural AI

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hiseulgi/
stunting-medsos-sentiment

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text-classification

generated_from_trainer

ayameRushia/bert-base-indonesian-1.5G-sentiment-analysis-smsa

autotrain_compatible

endpoints_compatible

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stunting-medsos-sentiment

This model is a fine-tuned version of ayameRushia/bert-base-indonesian-1.5G-sentiment-analysis-smsa on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.9685
Accuracy: 0.8360
Precision: 0.7971
Recall: 0.7985
F1: 0.7976

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: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1
No log	1.0	314	0.5221	0.8105	0.7868	0.7345	0.7517
0.5607	2.0	628	0.6322	0.8296	0.7991	0.7670	0.7794
0.5607	3.0	942	0.9147	0.8201	0.7929	0.7655	0.7731
0.2289	4.0	1256	0.9736	0.8296	0.7929	0.7990	0.7957
0.0597	5.0	1570	0.9685	0.8360	0.7971	0.7985	0.7976

Framework versions

Transformers 4.41.2
Pytorch 2.1.2
Datasets 2.19.2
Tokenizers 0.19.1