results-model_bayes-1

LirihSetyo/results-model_bayes-1

results-model_bayes-1 is a text classification model from LirihSetyo. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as mit.

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

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Hugging Face

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At a glance

Task: Text Classification
Library: transformers
License: mit
Model type: bert
Access: Public
Created: Aug 12, 2025
Updated: Aug 12, 2025
SHA: 2b9934c8

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Base models

indobenchmark/indobert-base-p2

Model card

From the Hugging Face model README

results-model_bayes

This model is a fine-tuned version of indobenchmark/indobert-base-p2 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 2.0366
Accuracy: 0.82
F1: 0.8032

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: 2.1087238818247547e-05
train_batch_size: 16
eval_batch_size: 8
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 50

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
0.7709	1.0	225	0.6179	0.7642	0.7535
0.5064	2.0	450	0.6081	0.7809	0.7725
0.3563	3.0	675	0.6282	0.8042	0.7974
0.2261	4.0	900	0.6652	0.7942	0.7924
0.1719	5.0	1125	0.8057	0.7898	0.7919
0.1484	6.0	1350	1.0256	0.7909	0.7856
0.1183	7.0	1575	1.1565	0.7597	0.7657
0.0847	8.0	1800	1.4778	0.7564	0.7645
0.0777	9.0	2025	1.2934	0.8020	0.7967
0.0448	10.0	2250	1.5351	0.7798	0.7851
0.0436	11.0	2475	1.5045	0.8042	0.8004
0.0228	12.0	2700	1.5770	0.7987	0.7954
0.0184	13.0	2925	1.6840	0.7842	0.7811
0.0172	14.0	3150	1.6994	0.7998	0.8004
0.0206	15.0	3375	1.6699	0.7842	0.7814
0.0245	16.0	3600	1.6444	0.8076	0.8008
0.0132	17.0	3825	1.8615	0.7976	0.7919
0.0345	18.0	4050	1.8310	0.7753	0.7749
0.0184	19.0	4275	1.6931	0.8042	0.8010
0.0267	20.0	4500	1.8351	0.7753	0.7764
0.0178	21.0	4725	2.0222	0.7864	0.7796
0.0114	22.0	4950	1.9146	0.7909	0.7860
0.0212	23.0	5175	1.7305	0.8131	0.8080
0.0164	24.0	5400	1.7662	0.8042	0.7974
0.017	25.0	5625	1.7453	0.8165	0.8073
0.0159	26.0	5850	1.9057	0.7987	0.7952
0.0139	27.0	6075	1.7655	0.8120	0.8069
0.0042	28.0	6300	1.8971	0.8009	0.7962
0.0147	29.0	6525	1.7364	0.8042	0.8016
0.021	30.0	6750	1.6853	0.8065	0.8027
0.0083	31.0	6975	1.8078	0.8042	0.8005
0.0001	32.0	7200	1.7869	0.8165	0.8123
0.0002	33.0	7425	1.8714	0.8142	0.8093
0.0001	34.0	7650	1.9115	0.8109	0.8064
0.0031	35.0	7875	1.9855	0.7953	0.7906
0.0036	36.0	8100	2.0593	0.7853	0.7849
0.0079	37.0	8325	1.8638	0.8131	0.8097
0.0082	38.0	8550	1.9473	0.8087	0.8025
0.0017	39.0	8775	1.9511	0.8053	0.8011
0.0006	40.0	9000	1.9466	0.8087	0.8045
0.0	41.0	9225	2.0234	0.7987	0.7940
0.0012	42.0	9450	1.9791	0.8109	0.8063
0.0	43.0	9675	1.9920	0.8087	0.8042
0.0022	44.0	9900	2.0328	0.8020	0.7989
0.0	45.0	10125	2.0323	0.8031	0.7995
0.0001	46.0	10350	2.0429	0.8020	0.7983
0.0001	47.0	10575	2.0278	0.8076	0.8039
0.0	48.0	10800	2.0339	0.8065	0.8021
0.0	49.0	11025	2.0366	0.8065	0.8021
0.0	50.0	11250	2.0366	0.8076	0.8032

Framework versions

Transformers 4.54.1
Pytorch 2.6.0+cu124
Datasets 4.0.0
Tokenizers 0.21.4

Task: Text Classification
Library: transformers
Type: bert
License: mit
Created: Aug 12, 2025
Updated: Aug 12, 2025