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

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AptaArkana/
indonesian-brand-indoBERT-finetuned

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text-classification

generated_from_trainer

indolem/indobert-base-uncased

autotrain_compatible

endpoints_compatible

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indonesian-brand-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: 0.6848
Accuracy: 0.8601
Precision: 0.8601
Recall: 0.8601
F1: 0.8601

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: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1
No log	1.0	304	0.4935	0.8132	0.8132	0.8132	0.8132
0.5911	2.0	608	0.4046	0.8362	0.8362	0.8362	0.8362
0.5911	3.0	912	0.4873	0.8305	0.8305	0.8305	0.8305
0.3204	4.0	1216	0.4774	0.8560	0.8560	0.8560	0.8560
0.2154	5.0	1520	0.5759	0.8486	0.8486	0.8486	0.8486
0.2154	6.0	1824	0.6334	0.8568	0.8568	0.8568	0.8568
0.1454	7.0	2128	0.6848	0.8601	0.8601	0.8601	0.8601
0.1454	8.0	2432	0.7325	0.8560	0.8560	0.8560	0.8560
0.0982	9.0	2736	0.7782	0.8568	0.8568	0.8568	0.8568
0.0729	10.0	3040	0.7979	0.8584	0.8584	0.8584	0.8584

Framework versions

Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2