indonesian_bert_case_model_nergrit – AI Model by AptaArkana | AlphaNeural AI

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AptaArkana/
indonesian_bert_case_model_nergrit

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token-classification

generated_from_trainer

Davlan/bert-base-multilingual-cased-ner-hrl

autotrain_compatible

endpoints_compatible

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belajarner_bert_case

This model is a fine-tuned version of Davlan/bert-base-multilingual-cased-ner-hrl on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.3309
Precision: 0.8120
Recall: 0.8430
F1: 0.8272
Accuracy: 0.9423

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: 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: 8

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
0.2528	1.0	1567	0.2352	0.7442	0.8116	0.7765	0.9282
0.1653	2.0	3134	0.2250	0.8008	0.8218	0.8112	0.9378
0.1125	3.0	4701	0.2545	0.7703	0.8381	0.8028	0.9343
0.083	4.0	6268	0.2633	0.8065	0.8353	0.8206	0.9401
0.0602	5.0	7835	0.2860	0.8124	0.8229	0.8176	0.9413
0.0411	6.0	9402	0.3129	0.8026	0.8353	0.8186	0.9404
0.0324	7.0	10969	0.3180	0.8036	0.8400	0.8214	0.9418
0.0248	8.0	12536	0.3309	0.8120	0.8430	0.8272	0.9423

Framework versions

Transformers 4.37.2
Pytorch 2.1.0+cu121
Datasets 2.17.1
Tokenizers 0.15.2