indonesian-comunication-indoBERT-finetuned – AI Model by AptaArkana | AlphaNeural AI

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AptaArkana/
indonesian-comunication-indoBERT-finetuned

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text-classification

generated_from_trainer

indolem/indobert-base-uncased

autotrain_compatible

endpoints_compatible

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indonesian-personalyty-indoBERT-finetuned

This model is a fine-tuned version of indolem/indobert-base-uncased on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.1403
Accuracy: 0.9732
Precision: 0.9732
Recall: 0.9732
F1: 0.9732

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: 1e-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
lr_scheduler_warmup_ratio: 0.01
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1
0.434	1.0	550	0.1352	0.9659	0.9659	0.9659	0.9659
0.1207	2.0	1100	0.1403	0.9732	0.9732	0.9732	0.9732
0.091	3.0	1650	0.1291	0.9700	0.9700	0.9700	0.9700
0.0633	4.0	2200	0.1367	0.9722	0.9722	0.9722	0.9722
0.0463	5.0	2750	0.1414	0.9732	0.9732	0.9732	0.9732

Framework versions

Transformers 4.35.2
Pytorch 2.1.0+cu121
Datasets 2.17.1
Tokenizers 0.15.2