metadata

language:
  - id
license: mit
base_model: indolem/indobert-base-uncased
tags:
  - generated_from_trainer
metrics:
  - precision
  - recall
  - f1
  - accuracy
model-index:
  - name: nerugm-base-0
    results: []

nerugm-base-0

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

Loss: 0.2749
Precision: 0.8234
Recall: 0.8964
F1: 0.8584
Accuracy: 0.9631

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: 5e-05
train_batch_size: 16
eval_batch_size: 64
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 20.0

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
0.3551	1.0	106	0.1873	0.6789	0.8757	0.7649	0.9414
0.1199	2.0	212	0.1308	0.7602	0.8817	0.8164	0.9611
0.0746	3.0	318	0.1383	0.7755	0.8787	0.8239	0.9618
0.0497	4.0	424	0.1717	0.7922	0.8462	0.8183	0.9554
0.0289	5.0	530	0.1706	0.8027	0.8787	0.8390	0.9621
0.023	6.0	636	0.1929	0.7688	0.8757	0.8188	0.9585
0.0161	7.0	742	0.2457	0.7769	0.8757	0.8234	0.9539
0.0106	8.0	848	0.2450	0.7926	0.8817	0.8347	0.9572
0.0065	9.0	954	0.2315	0.8150	0.8994	0.8551	0.9629
0.0053	10.0	1060	0.2373	0.8147	0.8846	0.8482	0.9626
0.004	11.0	1166	0.2421	0.8283	0.8846	0.8555	0.9639
0.003	12.0	1272	0.2572	0.808	0.8964	0.8499	0.9621
0.0027	13.0	1378	0.2516	0.8135	0.8905	0.8503	0.9616
0.0012	14.0	1484	0.2636	0.8123	0.8964	0.8523	0.9649
0.002	15.0	1590	0.2672	0.8091	0.8905	0.8479	0.9626
0.0012	16.0	1696	0.2610	0.8130	0.8876	0.8487	0.9634
0.001	17.0	1802	0.2694	0.8251	0.8935	0.8580	0.9631
0.0012	18.0	1908	0.2815	0.8177	0.9024	0.8579	0.9626
0.0012	19.0	2014	0.2723	0.8229	0.8935	0.8567	0.9629
0.0008	20.0	2120	0.2749	0.8234	0.8964	0.8584	0.9631

Framework versions

Transformers 4.39.3
Pytorch 2.3.0+cu121
Datasets 2.19.1
Tokenizers 0.15.2