all_mini_lm_text_classifier_indonesian_nlp

KasuleTrevor/all_mini_lm_text_classifier_indonesian_nlp

all_mini_lm_text_classifier_indonesian_nlp is a text classification model from KasuleTrevor. Use it when you need a label for a piece of text. It is set up for transformers.

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

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At a glance

Task: Text Classification
Library: transformers
Model type: bert
Access: Public
Created: Jun 19, 2025
Updated: Jun 19, 2025
SHA: 7fba96be

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Base models

KasuleTrevor/all-MiniLM-L6-v2_intents

Model card

From the Hugging Face model README

all_mini_lm_text_classifier_indonesian_nlp

This model is a fine-tuned version of KasuleTrevor/all-MiniLM-L6-v2_intents on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.2304
Accuracy: 0.956
Precision: 0.957
Recall: 0.956
F1: 0.956

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: 0.0001
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 16
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: cosine
lr_scheduler_warmup_steps: 500
num_epochs: 20
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1
2.5058	1.0	339	1.3431	0.659	0.542	0.659	0.57
0.9618	2.0	678	0.3693	0.915	0.902	0.915	0.897
0.3916	3.0	1017	0.1803	0.965	0.966	0.965	0.965
0.2259	4.0	1356	0.1603	0.963	0.965	0.963	0.963
0.1663	5.0	1695	0.1571	0.965	0.966	0.965	0.965
0.1254	6.0	2034	0.1436	0.973	0.974	0.973	0.973
0.0985	7.0	2373	0.1522	0.967	0.969	0.967	0.967
0.0862	8.0	2712	0.1595	0.967	0.969	0.967	0.967
0.0672	9.0	3051	0.1721	0.962	0.963	0.962	0.962
0.0659	10.0	3390	0.1722	0.967	0.968	0.967	0.967
0.0502	11.0	3729	0.1485	0.967	0.968	0.967	0.967
0.0421	12.0	4068	0.1820	0.97	0.971	0.97	0.97
0.0375	13.0	4407	0.1815	0.963	0.965	0.963	0.964
0.0272	14.0	4746	0.1811	0.962	0.963	0.962	0.962
0.0244	15.0	5085	0.2075	0.959	0.96	0.959	0.96
0.0198	16.0	5424	0.2195	0.957	0.959	0.957	0.957
0.016	17.0	5763	0.2235	0.956	0.957	0.956	0.956
0.0137	18.0	6102	0.2221	0.956	0.957	0.956	0.956
0.0134	19.0	6441	0.2305	0.956	0.957	0.956	0.956
0.0118	20.0	6780	0.2304	0.956	0.957	0.956	0.956

Framework versions

Transformers 4.52.4
Pytorch 2.6.0+cu124
Datasets 3.6.0
Tokenizers 0.21.1

Task: Text Classification
Library: transformers
Type: bert
Created: Jun 19, 2025
Updated: Jun 19, 2025