nerugm-seq_bn-0

apwic/nerugm-seq_bn-0

nerugm-seq_bn-0 is a machine learning model from apwic. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.

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

Downloads · 30 days

Access

Public

Updated Jul 1, 2024

Repo size

13.2 MB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.bin3.6 MB · 72%

At a glance

License: mit
Access: Public
Created: Jun 9, 2024
Updated: Jul 1, 2024
SHA: 7a21f04b

Base models

indolem/indobert-base-uncased

Model card

From the Hugging Face model README

nerugm-seq_bn-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: 0.1597
Location Precision: 0.8205
Location Recall: 0.9275
Location F1: 0.8707
Location Number: 69
Organization Precision: 0.6714
Organization Recall: 0.8103
Organization F1: 0.7344
Organization Number: 58
Person Precision: 0.8242
Person Recall: 0.8947
Person F1: 0.8580
Person Number: 152
Quantity Precision: 0.6857
Quantity Recall: 0.8
Quantity F1: 0.7385
Quantity Number: 30
Time Precision: 0.8387
Time Recall: 0.8966
Time F1: 0.8667
Time Number: 29
Overall Precision: 0.7836
Overall Recall: 0.8787
Overall F1: 0.8285
Overall Accuracy: 0.9639

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: 100.0

Training results

Training Loss	Epoch	Step	Validation Loss	Location Precision	Location Recall	Location F1	Location Number	Organization Precision	Organization Recall	Organization F1	Organization Number	Person Precision	Person Recall	Person F1	Person Number	Quantity Precision	Quantity Recall	Quantity F1	Quantity Number	Time Precision	Time Recall	Time F1	Time Number	Overall Precision	Overall Recall	Overall F1	Overall Accuracy
0.9255	1.0	106	0.6140	0.0	0.0	0.0	69	0.0	0.0	0.0	58	0.25	0.0066	0.0128	152	0.0	0.0	0.0	30	0.0	0.0	0.0	29	0.25	0.0030	0.0058	0.8402
0.5503	2.0	212	0.3995	0.2667	0.0580	0.0952	69	0.0	0.0	0.0	58	0.4888	0.5724	0.5273	152	0.0	0.0	0.0	30	0.5625	0.3103	0.4	29	0.4505	0.2959	0.3571	0.8855
0.3808	3.0	318	0.2890	0.4941	0.6087	0.5455	69	0.3889	0.2414	0.2979	58	0.6531	0.8421	0.7356	152	0.2727	0.3	0.2857	30	0.7037	0.6552	0.6786	29	0.5623	0.6272	0.5930	0.9268
0.2833	4.0	424	0.2156	0.5730	0.7391	0.6456	69	0.4815	0.4483	0.4643	58	0.7253	0.8684	0.7904	152	0.4211	0.5333	0.4706	30	0.8276	0.8276	0.8276	29	0.6352	0.7367	0.6822	0.9406
0.2213	5.0	530	0.1828	0.6374	0.8406	0.725	69	0.5357	0.5172	0.5263	58	0.7389	0.875	0.8012	152	0.4444	0.6667	0.5333	30	0.8276	0.8276	0.8276	29	0.6608	0.7840	0.7172	0.9434
0.1845	6.0	636	0.1698	0.6854	0.8841	0.7722	69	0.5135	0.6552	0.5758	58	0.7556	0.8947	0.8193	152	0.5	0.6667	0.5714	30	0.8065	0.8621	0.8333	29	0.6763	0.8284	0.7447	0.9467
0.17	7.0	742	0.1523	0.7349	0.8841	0.8026	69	0.5692	0.6379	0.6016	58	0.7746	0.8816	0.8246	152	0.6486	0.8	0.7164	30	0.8333	0.8621	0.8475	29	0.7242	0.8314	0.7741	0.9511
0.1552	8.0	848	0.1481	0.7654	0.8986	0.8267	69	0.5352	0.6552	0.5891	58	0.7803	0.8882	0.8308	152	0.6667	0.8	0.7273	30	0.7576	0.8621	0.8065	29	0.7208	0.8402	0.7760	0.9519
0.1486	9.0	954	0.1388	0.7821	0.8841	0.8299	69	0.5538	0.6207	0.5854	58	0.8072	0.8816	0.8428	152	0.6944	0.8333	0.7576	30	0.7812	0.8621	0.8197	29	0.7454	0.8314	0.7860	0.9544
0.1369	10.0	1060	0.1391	0.7722	0.8841	0.8243	69	0.5652	0.6724	0.6142	58	0.7929	0.8816	0.8349	152	0.6154	0.8	0.6957	30	0.7647	0.8966	0.8254	29	0.7282	0.8402	0.7802	0.9549
0.132	11.0	1166	0.1417	0.7875	0.9130	0.8456	69	0.5797	0.6897	0.6299	58	0.8047	0.8947	0.8474	152	0.6579	0.8333	0.7353	30	0.7143	0.8621	0.7813	29	0.7391	0.8550	0.7929	0.9534
0.1268	12.0	1272	0.1316	0.7848	0.8986	0.8378	69	0.625	0.6034	0.6140	58	0.8182	0.8882	0.8517	152	0.7222	0.8667	0.7879	30	0.7812	0.8621	0.8197	29	0.7690	0.8373	0.8017	0.9577
0.1206	13.0	1378	0.1325	0.8077	0.9130	0.8571	69	0.5873	0.6379	0.6116	58	0.8144	0.8947	0.8527	152	0.6757	0.8333	0.7463	30	0.8065	0.8621	0.8333	29	0.7606	0.8462	0.8011	0.9575
0.1186	14.0	1484	0.1396	0.8158	0.8986	0.8552	69	0.6329	0.8621	0.7299	58	0.8095	0.8947	0.8500	152	0.6579	0.8333	0.7353	30	0.7647	0.8966	0.8254	29	0.7570	0.8846	0.8158	0.9577
0.1141	15.0	1590	0.1282	0.8267	0.8986	0.8611	69	0.6129	0.6552	0.6333	58	0.8171	0.8816	0.8481	152	0.6944	0.8333	0.7576	30	0.7576	0.8621	0.8065	29	0.7676	0.8402	0.8023	0.9583
0.1083	16.0	1696	0.1356	0.8077	0.9130	0.8571	69	0.6479	0.7931	0.7132	58	0.8144	0.8947	0.8527	152	0.6667	0.8	0.7273	30	0.7647	0.8966	0.8254	29	0.7642	0.8728	0.8149	0.9577
0.1106	17.0	1802	0.1327	0.8312	0.9275	0.8767	69	0.6212	0.7069	0.6613	58	0.8182	0.8882	0.8517	152	0.6579	0.8333	0.7353	30	0.7576	0.8621	0.8065	29	0.7652	0.8580	0.8089	0.9585
0.1053	18.0	1908	0.1359	0.8101	0.9275	0.8649	69	0.6349	0.6897	0.6612	58	0.8095	0.8947	0.8500	152	0.6410	0.8333	0.7246	30	0.7353	0.8621	0.7937	29	0.7572	0.8580	0.8044	0.9580
0.1089	19.0	2014	0.1244	0.8219	0.8696	0.8451	69	0.6	0.5690	0.5841	58	0.8210	0.875	0.8471	152	0.7429	0.8667	0.8	30	0.8667	0.8966	0.8814	29	0.7831	0.8225	0.8023	0.9595
0.1046	20.0	2120	0.1291	0.8182	0.9130	0.8630	69	0.6667	0.6897	0.6780	58	0.8155	0.9013	0.8562	152	0.6944	0.8333	0.7576	30	0.7273	0.8276	0.7742	29	0.7727	0.8550	0.8118	0.9601
0.0965	21.0	2226	0.1389	0.7778	0.9130	0.84	69	0.6622	0.8448	0.7424	58	0.8333	0.9211	0.875	152	0.6944	0.8333	0.7576	30	0.7273	0.8276	0.7742	29	0.7679	0.8905	0.8247	0.9572
0.0958	22.0	2332	0.1279	0.8205	0.9275	0.8707	69	0.6849	0.8621	0.7634	58	0.8232	0.8882	0.8544	152	0.7353	0.8333	0.7812	30	0.8065	0.8621	0.8333	29	0.7868	0.8846	0.8329	0.9618
0.0929	23.0	2438	0.1228	0.8356	0.8841	0.8592	69	0.6290	0.6724	0.6500	58	0.8253	0.9013	0.8616	152	0.7576	0.8333	0.7937	30	0.8333	0.8621	0.8475	29	0.7885	0.8491	0.8177	0.9629
0.0934	24.0	2544	0.1357	0.8101	0.9275	0.8649	69	0.6579	0.8621	0.7463	58	0.8059	0.9013	0.8509	152	0.7647	0.8667	0.8125	30	0.7812	0.8621	0.8197	29	0.7724	0.8935	0.8285	0.9595
0.0887	25.0	2650	0.1232	0.7949	0.8986	0.8435	69	0.6935	0.7414	0.7167	58	0.8272	0.8816	0.8535	152	0.7647	0.8667	0.8125	30	0.7742	0.8276	0.8000	29	0.7875	0.8550	0.8199	0.9616
0.1025	26.0	2756	0.1350	0.8205	0.9275	0.8707	69	0.7101	0.8448	0.7717	58	0.8253	0.9013	0.8616	152	0.6857	0.8	0.7385	30	0.7742	0.8276	0.8000	29	0.7863	0.8817	0.8312	0.9618
0.0868	27.0	2862	0.1334	0.8101	0.9275	0.8649	69	0.7206	0.8448	0.7778	58	0.8293	0.8947	0.8608	152	0.7027	0.8667	0.7761	30	0.75	0.8276	0.7869	29	0.7868	0.8846	0.8329	0.9613
0.0836	28.0	2968	0.1318	0.8312	0.9275	0.8767	69	0.6818	0.7759	0.7258	58	0.8253	0.9013	0.8616	152	0.6944	0.8333	0.7576	30	0.6970	0.7931	0.7419	29	0.7778	0.8698	0.8212	0.9621
0.0791	29.0	3074	0.1344	0.7975	0.9130	0.8514	69	0.6912	0.8103	0.7460	58	0.8155	0.9013	0.8562	152	0.7576	0.8333	0.7937	30	0.7742	0.8276	0.8000	29	0.7810	0.8757	0.8257	0.9618
0.0792	30.0	3180	0.1233	0.8205	0.9275	0.8707	69	0.6885	0.7241	0.7059	58	0.8303	0.9013	0.8644	152	0.7576	0.8333	0.7937	30	0.8333	0.8621	0.8475	29	0.7984	0.8669	0.8312	0.9652
0.0772	31.0	3286	0.1278	0.8205	0.9275	0.8707	69	0.6923	0.7759	0.7317	58	0.8263	0.9079	0.8652	152	0.7576	0.8333	0.7937	30	0.8	0.8276	0.8136	29	0.7936	0.8757	0.8326	0.9647
0.0766	32.0	3392	0.1275	0.8205	0.9275	0.8707	69	0.6667	0.7931	0.7244	58	0.8232	0.8882	0.8544	152	0.7576	0.8333	0.7937	30	0.8	0.8276	0.8136	29	0.7861	0.8698	0.8258	0.9639
0.0746	33.0	3498	0.1314	0.8101	0.9275	0.8649	69	0.6812	0.8103	0.7402	58	0.8221	0.8816	0.8508	152	0.7879	0.8667	0.8254	30	0.8	0.8276	0.8136	29	0.7888	0.8728	0.8287	0.9636
0.072	34.0	3604	0.1335	0.8101	0.9275	0.8649	69	0.6957	0.8276	0.7559	58	0.8385	0.8882	0.8626	152	0.7879	0.8667	0.8254	30	0.8	0.8276	0.8136	29	0.7984	0.8787	0.8366	0.9639
0.0712	35.0	3710	0.1314	0.8101	0.9275	0.8649	69	0.7031	0.7759	0.7377	58	0.8214	0.9079	0.8625	152	0.7429	0.8667	0.8	30	0.8333	0.8621	0.8475	29	0.7926	0.8817	0.8347	0.9639
0.0702	36.0	3816	0.1303	0.8267	0.8986	0.8611	69	0.6528	0.8103	0.7231	58	0.8385	0.8882	0.8626	152	0.7879	0.8667	0.8254	30	0.8	0.8276	0.8136	29	0.7925	0.8698	0.8293	0.9641
0.0695	37.0	3922	0.1297	0.8421	0.9275	0.8828	69	0.7121	0.8103	0.7581	58	0.8253	0.9013	0.8616	152	0.7576	0.8333	0.7937	30	0.8333	0.8621	0.8475	29	0.8032	0.8817	0.8406	0.9649
0.0674	38.0	4028	0.1362	0.8312	0.9275	0.8767	69	0.6970	0.7931	0.7419	58	0.8364	0.9079	0.8707	152	0.6667	0.8667	0.7536	30	0.8333	0.8621	0.8475	29	0.7931	0.8846	0.8364	0.9639
0.0653	39.0	4134	0.1295	0.8312	0.9275	0.8767	69	0.6667	0.7241	0.6942	58	0.8242	0.8947	0.8580	152	0.7576	0.8333	0.7937	30	0.8333	0.8621	0.8475	29	0.7935	0.8639	0.8272	0.9644
0.0637	40.0	4240	0.1349	0.7901	0.9275	0.8533	69	0.6818	0.7759	0.7258	58	0.8466	0.9079	0.8762	152	0.7647	0.8667	0.8125	30	0.7742	0.8276	0.8000	29	0.792	0.8787	0.8331	0.9639
0.0634	41.0	4346	0.1353	0.84	0.9130	0.8750	69	0.7059	0.8276	0.7619	58	0.8373	0.9145	0.8742	152	0.7576	0.8333	0.7937	30	0.7742	0.8276	0.8000	29	0.8016	0.8846	0.8411	0.9652
0.0622	42.0	4452	0.1350	0.8312	0.9275	0.8767	69	0.6769	0.7586	0.7154	58	0.8424	0.9145	0.8770	152	0.7353	0.8333	0.7812	30	0.8333	0.8621	0.8475	29	0.8005	0.8787	0.8378	0.9649
0.0616	43.0	4558	0.1341	0.8421	0.9275	0.8828	69	0.7015	0.8103	0.752	58	0.8373	0.9145	0.8742	152	0.7647	0.8667	0.8125	30	0.8065	0.8621	0.8333	29	0.8048	0.8905	0.8455	0.9654
0.0603	44.0	4664	0.1411	0.7805	0.9275	0.8477	69	0.6620	0.8103	0.7287	58	0.8323	0.9145	0.8715	152	0.7353	0.8333	0.7812	30	0.8333	0.8621	0.8475	29	0.7812	0.8876	0.8310	0.9629
0.0597	45.0	4770	0.1402	0.8205	0.9275	0.8707	69	0.6620	0.8103	0.7287	58	0.8263	0.9079	0.8652	152	0.6579	0.8333	0.7353	30	0.7742	0.8276	0.8000	29	0.7740	0.8817	0.8243	0.9621
0.059	46.0	4876	0.1342	0.8312	0.9275	0.8767	69	0.6866	0.7931	0.736	58	0.8354	0.9013	0.8671	152	0.7353	0.8333	0.7812	30	0.7742	0.8276	0.8000	29	0.7936	0.8757	0.8326	0.9649
0.0574	47.0	4982	0.1355	0.8312	0.9275	0.8767	69	0.6866	0.7931	0.736	58	0.8293	0.8947	0.8608	152	0.6944	0.8333	0.7576	30	0.7667	0.7931	0.7797	29	0.7861	0.8698	0.8258	0.9639
0.0581	48.0	5088	0.1352	0.8312	0.9275	0.8767	69	0.7031	0.7759	0.7377	58	0.8354	0.9013	0.8671	152	0.7353	0.8333	0.7812	30	0.8387	0.8966	0.8667	29	0.8027	0.8787	0.8390	0.9659
0.0561	49.0	5194	0.1386	0.8421	0.9275	0.8828	69	0.6765	0.7931	0.7302	58	0.8313	0.9079	0.8679	152	0.7353	0.8333	0.7812	30	0.8667	0.8966	0.8814	29	0.7995	0.8846	0.8399	0.9649
0.0544	50.0	5300	0.1345	0.84	0.9130	0.8750	69	0.6866	0.7931	0.736	58	0.8210	0.875	0.8471	152	0.7576	0.8333	0.7937	30	0.8667	0.8966	0.8814	29	0.7984	0.8669	0.8312	0.9652
0.0534	51.0	5406	0.1369	0.8312	0.9275	0.8767	69	0.6944	0.8621	0.7692	58	0.8344	0.8947	0.8635	152	0.7576	0.8333	0.7937	30	0.8333	0.8621	0.8475	29	0.8	0.8876	0.8415	0.9652
0.0521	52.0	5512	0.1461	0.8101	0.9275	0.8649	69	0.68	0.8793	0.7669	58	0.8303	0.9013	0.8644	152	0.7353	0.8333	0.7812	30	0.7742	0.8276	0.8000	29	0.7839	0.8905	0.8338	0.9629
0.0524	53.0	5618	0.1376	0.8205	0.9275	0.8707	69	0.7164	0.8276	0.768	58	0.8354	0.9013	0.8671	152	0.7576	0.8333	0.7937	30	0.8065	0.8621	0.8333	29	0.8016	0.8846	0.8411	0.9657
0.0494	54.0	5724	0.1410	0.8421	0.9275	0.8828	69	0.6812	0.8103	0.7402	58	0.8354	0.9013	0.8671	152	0.7647	0.8667	0.8125	30	0.8065	0.8621	0.8333	29	0.7995	0.8846	0.8399	0.9659
0.0516	55.0	5830	0.1382	0.8421	0.9275	0.8828	69	0.6957	0.8276	0.7559	58	0.8354	0.9013	0.8671	152	0.7647	0.8667	0.8125	30	0.8387	0.8966	0.8667	29	0.8048	0.8905	0.8455	0.9659
0.0497	56.0	5936	0.1393	0.8312	0.9275	0.8767	69	0.6716	0.7759	0.7200	58	0.8282	0.8882	0.8571	152	0.7647	0.8667	0.8125	30	0.8387	0.8966	0.8667	29	0.7957	0.8757	0.8338	0.9654
0.048	57.0	6042	0.1442	0.8101	0.9275	0.8649	69	0.7015	0.8103	0.752	58	0.8242	0.8947	0.8580	152	0.7647	0.8667	0.8125	30	0.8065	0.8621	0.8333	29	0.7926	0.8817	0.8347	0.9649
0.0474	58.0	6148	0.1420	0.8312	0.9275	0.8767	69	0.6712	0.8448	0.7481	58	0.8204	0.9013	0.8589	152	0.7576	0.8333	0.7937	30	0.8387	0.8966	0.8667	29	0.7900	0.8905	0.8373	0.9647
0.0447	59.0	6254	0.1470	0.8312	0.9275	0.8767	69	0.6857	0.8276	0.75	58	0.8303	0.9013	0.8644	152	0.7353	0.8333	0.7812	30	0.8065	0.8621	0.8333	29	0.7931	0.8846	0.8364	0.9647
0.045	60.0	6360	0.1453	0.8205	0.9275	0.8707	69	0.6765	0.7931	0.7302	58	0.8293	0.8947	0.8608	152	0.7647	0.8667	0.8125	30	0.8065	0.8621	0.8333	29	0.792	0.8787	0.8331	0.9649
0.0441	61.0	6466	0.1431	0.84	0.9130	0.8750	69	0.6667	0.7931	0.7244	58	0.8344	0.8947	0.8635	152	0.7576	0.8333	0.7937	30	0.8387	0.8966	0.8667	29	0.7978	0.8757	0.8350	0.9649
0.0474	62.0	6572	0.1454	0.8312	0.9275	0.8767	69	0.6571	0.7931	0.7188	58	0.8253	0.9013	0.8616	152	0.7576	0.8333	0.7937	30	0.8065	0.8621	0.8333	29	0.7878	0.8787	0.8308	0.9647
0.0441	63.0	6678	0.1432	0.8312	0.9275	0.8767	69	0.6818	0.7759	0.7258	58	0.8364	0.9079	0.8707	152	0.7353	0.8333	0.7812	30	0.8387	0.8966	0.8667	29	0.7989	0.8817	0.8383	0.9652
0.0449	64.0	6784	0.1622	0.8	0.9275	0.8591	69	0.5862	0.8793	0.7034	58	0.8166	0.9079	0.8598	152	0.6944	0.8333	0.7576	30	0.8065	0.8621	0.8333	29	0.7519	0.8964	0.8178	0.9590
0.0452	65.0	6890	0.1489	0.8421	0.9275	0.8828	69	0.6622	0.8448	0.7424	58	0.8155	0.9013	0.8562	152	0.7353	0.8333	0.7812	30	0.8387	0.8966	0.8667	29	0.7859	0.8905	0.8350	0.9639
0.0418	66.0	6996	0.1543	0.8312	0.9275	0.8767	69	0.6712	0.8448	0.7481	58	0.8214	0.9079	0.8625	152	0.7353	0.8333	0.7812	30	0.8065	0.8621	0.8333	29	0.7859	0.8905	0.8350	0.9639
0.0421	67.0	7102	0.1538	0.8205	0.9275	0.8707	69	0.6806	0.8448	0.7538	58	0.8204	0.9013	0.8589	152	0.7143	0.8333	0.7692	30	0.8065	0.8621	0.8333	29	0.7833	0.8876	0.8322	0.9631
0.041	68.0	7208	0.1549	0.8312	0.9275	0.8767	69	0.6667	0.8621	0.7519	58	0.8242	0.8947	0.8580	152	0.6857	0.8	0.7385	30	0.8065	0.8621	0.8333	29	0.7807	0.8846	0.8294	0.9626
0.0411	69.0	7314	0.1511	0.8421	0.9275	0.8828	69	0.6812	0.8103	0.7402	58	0.8193	0.8947	0.8553	152	0.7353	0.8333	0.7812	30	0.8387	0.8966	0.8667	29	0.7926	0.8817	0.8347	0.9652
0.0414	70.0	7420	0.1538	0.8205	0.9275	0.8707	69	0.6765	0.7931	0.7302	58	0.8214	0.9079	0.8625	152	0.6757	0.8333	0.7463	30	0.7742	0.8276	0.8000	29	0.7775	0.8787	0.8250	0.9631
0.0407	71.0	7526	0.1484	0.8312	0.9275	0.8767	69	0.6667	0.8276	0.7385	58	0.8344	0.8947	0.8635	152	0.7576	0.8333	0.7937	30	0.8387	0.8966	0.8667	29	0.7952	0.8846	0.8375	0.9649
0.0395	72.0	7632	0.1467	0.84	0.9130	0.8750	69	0.6970	0.7931	0.7419	58	0.8344	0.8947	0.8635	152	0.7576	0.8333	0.7937	30	0.8387	0.8966	0.8667	29	0.8043	0.8757	0.8385	0.9649
0.0388	73.0	7738	0.1468	0.8312	0.9275	0.8767	69	0.6761	0.8276	0.7442	58	0.8344	0.8947	0.8635	152	0.7576	0.8333	0.7937	30	0.8387	0.8966	0.8667	29	0.7973	0.8846	0.8387	0.9652
0.0401	74.0	7844	0.1532	0.8312	0.9275	0.8767	69	0.6761	0.8276	0.7442	58	0.8344	0.8947	0.8635	152	0.7143	0.8333	0.7692	30	0.8387	0.8966	0.8667	29	0.7931	0.8846	0.8364	0.9647
0.0376	75.0	7950	0.1554	0.8205	0.9275	0.8707	69	0.6571	0.7931	0.7188	58	0.8293	0.8947	0.8608	152	0.7143	0.8333	0.7692	30	0.8387	0.8966	0.8667	29	0.7857	0.8787	0.8296	0.9636
0.0389	76.0	8056	0.1553	0.8101	0.9275	0.8649	69	0.6712	0.8448	0.7481	58	0.8344	0.8947	0.8635	152	0.7059	0.8	0.7500	30	0.8387	0.8966	0.8667	29	0.7868	0.8846	0.8329	0.9631
0.0385	77.0	8162	0.1526	0.8312	0.9275	0.8767	69	0.6806	0.8448	0.7538	58	0.8344	0.8947	0.8635	152	0.6857	0.8	0.7385	30	0.8387	0.8966	0.8667	29	0.7910	0.8846	0.8352	0.9644
0.0375	78.0	8268	0.1528	0.8421	0.9275	0.8828	69	0.6620	0.8103	0.7287	58	0.8242	0.8947	0.8580	152	0.6857	0.8	0.7385	30	0.8387	0.8966	0.8667	29	0.7857	0.8787	0.8296	0.9639
0.0373	79.0	8374	0.1517	0.8312	0.9275	0.8767	69	0.6667	0.7931	0.7244	58	0.8293	0.8947	0.8608	152	0.7353	0.8333	0.7812	30	0.8387	0.8966	0.8667	29	0.792	0.8787	0.8331	0.9644
0.0375	80.0	8480	0.1577	0.8205	0.9275	0.8707	69	0.6812	0.8103	0.7402	58	0.8193	0.8947	0.8553	152	0.7059	0.8	0.7500	30	0.8387	0.8966	0.8667	29	0.7857	0.8787	0.8296	0.9639
0.0371	81.0	8586	0.1603	0.8205	0.9275	0.8707	69	0.6667	0.8276	0.7385	58	0.8242	0.8947	0.8580	152	0.7143	0.8333	0.7692	30	0.8387	0.8966	0.8667	29	0.7848	0.8846	0.8317	0.9631
0.0364	82.0	8692	0.1597	0.8205	0.9275	0.8707	69	0.6761	0.8276	0.7442	58	0.8242	0.8947	0.8580	152	0.7143	0.8333	0.7692	30	0.8387	0.8966	0.8667	29	0.7868	0.8846	0.8329	0.9634
0.0355	83.0	8798	0.1582	0.8205	0.9275	0.8707	69	0.6571	0.7931	0.7188	58	0.8242	0.8947	0.8580	152	0.7143	0.8333	0.7692	30	0.8387	0.8966	0.8667	29	0.7836	0.8787	0.8285	0.9631
0.0352	84.0	8904	0.1597	0.8101	0.9275	0.8649	69	0.6438	0.8103	0.7176	58	0.8242	0.8947	0.8580	152	0.6857	0.8	0.7385	30	0.8065	0.8621	0.8333	29	0.7728	0.8757	0.8211	0.9621
0.0351	85.0	9010	0.1546	0.8312	0.9275	0.8767	69	0.6571	0.7931	0.7188	58	0.8344	0.8947	0.8635	152	0.7143	0.8333	0.7692	30	0.8387	0.8966	0.8667	29	0.7899	0.8787	0.8319	0.9639
0.0358	86.0	9116	0.1546	0.8421	0.9275	0.8828	69	0.6479	0.7931	0.7132	58	0.8344	0.8947	0.8635	152	0.7143	0.8333	0.7692	30	0.8387	0.8966	0.8667	29	0.7899	0.8787	0.8319	0.9639
0.0359	87.0	9222	0.1566	0.8312	0.9275	0.8767	69	0.6438	0.8103	0.7176	58	0.8293	0.8947	0.8608	152	0.7353	0.8333	0.7812	30	0.8387	0.8966	0.8667	29	0.7863	0.8817	0.8312	0.9639
0.0338	88.0	9328	0.1550	0.8312	0.9275	0.8767	69	0.6522	0.7759	0.7087	58	0.8293	0.8947	0.8608	152	0.7353	0.8333	0.7812	30	0.8387	0.8966	0.8667	29	0.7893	0.8757	0.8303	0.9641
0.0324	89.0	9434	0.1579	0.8205	0.9275	0.8707	69	0.6429	0.7759	0.7031	58	0.8242	0.8947	0.8580	152	0.7143	0.8333	0.7692	30	0.8387	0.8966	0.8667	29	0.7810	0.8757	0.8257	0.9634
0.034	90.0	9540	0.1578	0.8077	0.9130	0.8571	69	0.6571	0.7931	0.7188	58	0.8242	0.8947	0.8580	152	0.7353	0.8333	0.7812	30	0.8387	0.8966	0.8667	29	0.7831	0.8757	0.8268	0.9639
0.0353	91.0	9646	0.1580	0.8077	0.9130	0.8571	69	0.6714	0.8103	0.7344	58	0.8293	0.8947	0.8608	152	0.7143	0.8333	0.7692	30	0.8387	0.8966	0.8667	29	0.7857	0.8787	0.8296	0.9639
0.0325	92.0	9752	0.1565	0.8205	0.9275	0.8707	69	0.6571	0.7931	0.7188	58	0.8293	0.8947	0.8608	152	0.7353	0.8333	0.7812	30	0.8387	0.8966	0.8667	29	0.7878	0.8787	0.8308	0.9639
0.0344	93.0	9858	0.1590	0.8205	0.9275	0.8707	69	0.6714	0.8103	0.7344	58	0.8242	0.8947	0.8580	152	0.6857	0.8	0.7385	30	0.8387	0.8966	0.8667	29	0.7836	0.8787	0.8285	0.9639
0.0336	94.0	9964	0.1605	0.8077	0.9130	0.8571	69	0.6620	0.8103	0.7287	58	0.8242	0.8947	0.8580	152	0.7059	0.8	0.7500	30	0.8387	0.8966	0.8667	29	0.7810	0.8757	0.8257	0.9634
0.0337	95.0	10070	0.1603	0.8205	0.9275	0.8707	69	0.6667	0.7931	0.7244	58	0.8242	0.8947	0.8580	152	0.7143	0.8333	0.7692	30	0.8387	0.8966	0.8667	29	0.7857	0.8787	0.8296	0.9639
0.0326	96.0	10176	0.1594	0.8205	0.9275	0.8707	69	0.6429	0.7759	0.7031	58	0.8242	0.8947	0.8580	152	0.7143	0.8333	0.7692	30	0.8387	0.8966	0.8667	29	0.7810	0.8757	0.8257	0.9634
0.0352	97.0	10282	0.1594	0.8312	0.9275	0.8767	69	0.6667	0.7931	0.7244	58	0.8242	0.8947	0.8580	152	0.7143	0.8333	0.7692	30	0.8387	0.8966	0.8667	29	0.7878	0.8787	0.8308	0.9641
0.0329	98.0	10388	0.1579	0.8312	0.9275	0.8767	69	0.6714	0.8103	0.7344	58	0.8293	0.8947	0.8608	152	0.6857	0.8	0.7385	30	0.8387	0.8966	0.8667	29	0.7878	0.8787	0.8308	0.9639
0.0321	99.0	10494	0.1590	0.8205	0.9275	0.8707	69	0.6857	0.8276	0.75	58	0.8293	0.8947	0.8608	152	0.6857	0.8	0.7385	30	0.8387	0.8966	0.8667	29	0.7884	0.8817	0.8324	0.9641
0.0322	100.0	10600	0.1597	0.8205	0.9275	0.8707	69	0.6714	0.8103	0.7344	58	0.8242	0.8947	0.8580	152	0.6857	0.8	0.7385	30	0.8387	0.8966	0.8667	29	0.7836	0.8787	0.8285	0.9639

Framework versions

Transformers 4.40.2
Pytorch 2.3.0+cu121
Datasets 2.19.1
Tokenizers 0.19.1

License: mit
Languages: id
Created: Jun 9, 2024
Updated: Jul 1, 2024