This model is a fine-tuned version of flax-community/indonesian-roberta-base on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.4118
Accuracy: 0.826
Auc: 0.903
Precision: 0.8257
Recall: 0.8257
F1: 0.8256

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: 64
eval_batch_size: 64
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
lr_scheduler_warmup_steps: 500
num_epochs: 20

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Auc	Precision	Recall	F1
0.6653	1.0	188	0.5515	0.724	0.798	0.7243	0.7237	0.7238
0.5131	2.0	376	0.4578	0.783	0.875	0.7874	0.7830	0.7815
0.4307	3.0	564	0.4418	0.795	0.904	0.8137	0.7949	0.7928
0.3668	4.0	752	0.3804	0.835	0.916	0.8354	0.8349	0.8349
0.2991	5.0	940	0.4464	0.82	0.918	0.8345	0.8202	0.8190
0.2467	6.0	1128	0.4350	0.838	0.926	0.8482	0.8382	0.8375
0.2064	7.0	1316	0.4284	0.844	0.93	0.8515	0.8442	0.8438
0.1602	8.0	1504	0.4545	0.851	0.928	0.8520	0.8509	0.8509
0.1476	9.0	1692	0.4832	0.848	0.933	0.8545	0.8482	0.8479
0.117	10.0	1880	0.4632	0.855	0.932	0.8549	0.8549	0.8549
0.0925	11.0	2068	0.5501	0.86	0.933	0.8617	0.8602	0.8602
0.0811	12.0	2256	0.6097	0.849	0.933	0.8528	0.8489	0.8487
0.0702	13.0	2444	0.6568	0.85	0.933	0.8525	0.8495	0.8494
0.0588	14.0	2632	0.7092	0.844	0.93	0.8484	0.8442	0.8440
0.0572	15.0	2820	0.7012	0.855	0.933	0.8575	0.8549	0.8548
0.047	16.0	3008	0.7549	0.851	0.933	0.8545	0.8509	0.8507
0.0433	17.0	3196	0.7754	0.856	0.932	0.8593	0.8562	0.8561
0.044	18.0	3384	0.7868	0.85	0.932	0.8548	0.8502	0.8500
0.0408	19.0	3572	0.7890	0.855	0.932	0.8589	0.8549	0.8547
0.0412	20.0	3760	0.7870	0.855	0.932	0.8589	0.8549	0.8547

Framework versions

Transformers 4.52.3
Pytorch 2.6.0+cu124
Datasets 3.6.0
Tokenizers 0.21.1

OwLim/indonesian-roberta-hate-speech-detection

indonesian-roberta-hate-speech-detection

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

OwLim/
indonesian-roberta-hate-speech-detection