This model is a fine-tuned version of flax-community/indonesian-roberta-base on the indonlu dataset. It achieves the following results on the evaluation set:

Loss: 0.1180
Precision: 0.8102
Recall: 0.8107
F1: 0.8105
Accuracy: 0.9615

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: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
No log	1.0	420	0.1419	0.7491	0.8034	0.7753	0.9551
0.2261	2.0	840	0.1317	0.7889	0.7983	0.7936	0.9569
0.1081	3.0	1260	0.1430	0.7587	0.8300	0.7927	0.9546
0.0777	4.0	1680	0.1459	0.7848	0.8266	0.8052	0.9577
0.0563	5.0	2100	0.1525	0.7923	0.8125	0.8022	0.9579
0.0441	6.0	2520	0.1552	0.7986	0.8176	0.8080	0.9584
0.0441	7.0	2940	0.1692	0.7910	0.8232	0.8068	0.9584
0.0387	8.0	3360	0.1677	0.7894	0.8306	0.8095	0.9588
0.032	9.0	3780	0.1784	0.7939	0.8249	0.8091	0.9586
0.0284	10.0	4200	0.1817	0.7950	0.8261	0.8102	0.9588

Framework versions

Transformers 4.37.2
Pytorch 2.2.0+cu118
Datasets 2.16.1
Tokenizers 0.15.1

w11wo/indonesian-roberta-base-nerp-tagger

indonesian-roberta-base-nerp-tagger

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

w11wo/
indonesian-roberta-base-nerp-tagger