nerugm-lora-r8-0

apwic/nerugm-lora-r8-0

nerugm-lora-r8-0 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 Jun 3, 2024

Repo size

24 MB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.bin1.2 MB · 43%

At a glance

License: mit
Access: Public
Created: May 27, 2024
Updated: Jun 3, 2024
SHA: 43f82222

Base models

indolem/indobert-base-uncased

Model card

From the Hugging Face model README

nerugm-lora-r8-0

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: 0.1291
Location Precision: 0.7975
Location Recall: 0.9130
Location F1: 0.8514
Location Number: 69
Organization Precision: 0.6338
Organization Recall: 0.7759
Organization F1: 0.6977
Organization Number: 58
Person Precision: 0.8415
Person Recall: 0.9079
Person F1: 0.8734
Person Number: 152
Quantity Precision: 0.6216
Quantity Recall: 0.7667
Quantity F1: 0.6866
Quantity Number: 30
Time Precision: 0.7353
Time Recall: 0.8621
Time F1: 0.7937
Time Number: 29
Overall Precision: 0.7636
Overall Recall: 0.8698
Overall F1: 0.8133
Overall Accuracy: 0.9585

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
1.2502	1.0	106	0.7255	0.0	0.0	0.0	69	0.0	0.0	0.0	58	0.0	0.0	0.0	152	0.0	0.0	0.0	30	0.0	0.0	0.0	29	0.0	0.0	0.0	0.8397
0.7059	2.0	212	0.6194	0.0	0.0	0.0	69	0.0	0.0	0.0	58	0.2	0.0066	0.0127	152	0.0	0.0	0.0	30	0.0	0.0	0.0	29	0.1667	0.0030	0.0058	0.8405
0.6143	3.0	318	0.5261	0.5	0.0145	0.0282	69	0.0	0.0	0.0	58	0.25	0.0395	0.0682	152	0.0	0.0	0.0	30	0.0	0.0	0.0	29	0.2414	0.0207	0.0381	0.8456
0.5231	4.0	424	0.4244	0.375	0.0435	0.0779	69	0.0	0.0	0.0	58	0.3962	0.2763	0.3256	152	0.0	0.0	0.0	30	0.3846	0.1724	0.2381	29	0.3846	0.1479	0.2137	0.8725
0.4203	5.0	530	0.3370	0.4634	0.2754	0.3455	69	0.2308	0.1034	0.1429	58	0.6341	0.6842	0.6582	152	0.0	0.0	0.0	30	0.6	0.5172	0.5556	29	0.5393	0.4260	0.4760	0.9055
0.3379	6.0	636	0.2737	0.5128	0.5797	0.5442	69	0.3673	0.3103	0.3364	58	0.6895	0.8618	0.7661	152	0.3636	0.4	0.3810	30	0.625	0.6897	0.6557	29	0.5785	0.6538	0.6139	0.9245
0.2785	7.0	742	0.2344	0.6235	0.7681	0.6883	69	0.4237	0.4310	0.4274	58	0.7166	0.8816	0.7906	152	0.3611	0.4333	0.3939	30	0.6774	0.7241	0.7	29	0.6181	0.7278	0.6685	0.9306
0.243	8.0	848	0.2089	0.6790	0.7971	0.7333	69	0.44	0.5690	0.4962	58	0.7068	0.8882	0.7872	152	0.3784	0.4667	0.4179	30	0.7	0.7241	0.7119	29	0.6232	0.7633	0.6862	0.9350
0.2201	9.0	954	0.1920	0.6824	0.8406	0.7532	69	0.4730	0.6034	0.5303	58	0.7143	0.8882	0.7918	152	0.4359	0.5667	0.4928	30	0.6774	0.7241	0.7	29	0.6364	0.7870	0.7037	0.9375
0.2013	10.0	1060	0.1749	0.7317	0.8696	0.7947	69	0.4730	0.6034	0.5303	58	0.7514	0.8947	0.8168	152	0.5	0.6	0.5455	30	0.6875	0.7586	0.7213	29	0.6691	0.8018	0.7295	0.9426
0.1916	11.0	1166	0.1710	0.7143	0.8696	0.7843	69	0.5270	0.6724	0.5909	58	0.7273	0.8947	0.8024	152	0.5135	0.6333	0.5672	30	0.6970	0.7931	0.7419	29	0.6675	0.8195	0.7357	0.9437
0.1808	12.0	1272	0.1595	0.7692	0.8696	0.8163	69	0.5479	0.6897	0.6107	58	0.7391	0.8947	0.8095	152	0.5429	0.6333	0.5846	30	0.7273	0.8276	0.7742	29	0.6923	0.8254	0.7530	0.9472
0.1696	13.0	1378	0.1539	0.7792	0.8696	0.8219	69	0.5417	0.6724	0.6	58	0.7459	0.8882	0.8108	152	0.5833	0.7	0.6364	30	0.7812	0.8621	0.8197	29	0.7035	0.8284	0.7609	0.9480
0.1658	14.0	1484	0.1547	0.7561	0.8986	0.8212	69	0.5412	0.7931	0.6434	58	0.7670	0.8882	0.8232	152	0.5405	0.6667	0.5970	30	0.7273	0.8276	0.7742	29	0.6949	0.8491	0.7643	0.9496
0.159	15.0	1590	0.1460	0.7848	0.8986	0.8378	69	0.5455	0.7241	0.6222	58	0.7803	0.8882	0.8308	152	0.5556	0.6667	0.6061	30	0.7273	0.8276	0.7742	29	0.7111	0.8373	0.7690	0.9524
0.1532	16.0	1696	0.1406	0.7922	0.8841	0.8356	69	0.5405	0.6897	0.6061	58	0.7849	0.8882	0.8333	152	0.5455	0.6	0.5714	30	0.6970	0.7931	0.7419	29	0.7121	0.8195	0.7620	0.9516
0.1509	17.0	1802	0.1486	0.7470	0.8986	0.8158	69	0.55	0.7586	0.6377	58	0.7714	0.8882	0.8257	152	0.6486	0.8	0.7164	30	0.6765	0.7931	0.7302	29	0.7042	0.8521	0.7711	0.9506
0.149	18.0	1908	0.1416	0.7654	0.8986	0.8267	69	0.5541	0.7069	0.6212	58	0.7861	0.8947	0.8369	152	0.6216	0.7667	0.6866	30	0.7353	0.8621	0.7937	29	0.7193	0.8491	0.7788	0.9529
0.1443	19.0	2014	0.1380	0.7949	0.8986	0.8435	69	0.5833	0.7241	0.6462	58	0.7907	0.8947	0.8395	152	0.6486	0.8	0.7164	30	0.7576	0.8621	0.8065	29	0.7372	0.8550	0.7918	0.9547
0.1394	20.0	2120	0.1444	0.7326	0.9130	0.8129	69	0.5301	0.7586	0.6241	58	0.7771	0.8947	0.8318	152	0.6053	0.7667	0.6765	30	0.7879	0.8966	0.8387	29	0.7036	0.8639	0.7756	0.9511
0.1375	21.0	2226	0.1398	0.7561	0.8986	0.8212	69	0.5556	0.7759	0.6475	58	0.8	0.8947	0.8447	152	0.6389	0.7667	0.6970	30	0.7879	0.8966	0.8387	29	0.7264	0.8639	0.7892	0.9547
0.1335	22.0	2332	0.1366	0.7975	0.9130	0.8514	69	0.5769	0.7759	0.6618	58	0.8	0.8947	0.8447	152	0.6111	0.7333	0.6667	30	0.8125	0.8966	0.8525	29	0.7392	0.8639	0.7967	0.9565
0.1346	23.0	2438	0.1391	0.7875	0.9130	0.8456	69	0.5867	0.7586	0.6617	58	0.7829	0.9013	0.8379	152	0.6389	0.7667	0.6970	30	0.8125	0.8966	0.8525	29	0.7362	0.8669	0.7962	0.9547
0.1338	24.0	2544	0.1434	0.7529	0.9275	0.8312	69	0.6	0.7759	0.6767	58	0.7784	0.9013	0.8354	152	0.6486	0.8	0.7164	30	0.7353	0.8621	0.7937	29	0.7248	0.8728	0.7919	0.9534
0.1302	25.0	2650	0.1354	0.7975	0.9130	0.8514	69	0.5844	0.7759	0.6667	58	0.8	0.8947	0.8447	152	0.6389	0.7667	0.6970	30	0.7353	0.8621	0.7937	29	0.7374	0.8639	0.7956	0.9554
0.1262	26.0	2756	0.1411	0.7529	0.9275	0.8312	69	0.5844	0.7759	0.6667	58	0.7874	0.9013	0.8405	152	0.6486	0.8	0.7164	30	0.7353	0.8621	0.7937	29	0.7248	0.8728	0.7919	0.9542
0.1258	27.0	2862	0.1355	0.7683	0.9130	0.8344	69	0.6418	0.7414	0.688	58	0.7965	0.9013	0.8457	152	0.6216	0.7667	0.6866	30	0.7353	0.8621	0.7937	29	0.7423	0.8609	0.7973	0.9552
0.1271	28.0	2968	0.1359	0.7590	0.9130	0.8289	69	0.5811	0.7414	0.6515	58	0.7953	0.8947	0.8421	152	0.6667	0.8	0.7273	30	0.7353	0.8621	0.7937	29	0.7312	0.8609	0.7908	0.9552
0.1223	29.0	3074	0.1336	0.7683	0.9130	0.8344	69	0.6324	0.7414	0.6825	58	0.8047	0.8947	0.8474	152	0.6389	0.7667	0.6970	30	0.7879	0.8966	0.8387	29	0.75	0.8609	0.8017	0.9572
0.1198	30.0	3180	0.1322	0.7875	0.9130	0.8456	69	0.5972	0.7414	0.6615	58	0.8095	0.8947	0.8500	152	0.6389	0.7667	0.6970	30	0.7647	0.8966	0.8254	29	0.7462	0.8609	0.7995	0.9570
0.1188	31.0	3286	0.1313	0.7805	0.9275	0.8477	69	0.6143	0.7414	0.6719	58	0.8	0.8947	0.8447	152	0.6389	0.7667	0.6970	30	0.7647	0.8966	0.8254	29	0.7449	0.8639	0.8	0.9570
0.1196	32.0	3392	0.1309	0.7778	0.9130	0.84	69	0.5890	0.7414	0.6565	58	0.8095	0.8947	0.8500	152	0.6389	0.7667	0.6970	30	0.7647	0.8966	0.8254	29	0.7423	0.8609	0.7973	0.9562
0.1191	33.0	3498	0.1288	0.7778	0.9130	0.84	69	0.6	0.7241	0.6562	58	0.8144	0.8947	0.8527	152	0.6389	0.7667	0.6970	30	0.7941	0.9310	0.8571	29	0.75	0.8609	0.8017	0.9570
0.1138	34.0	3604	0.1353	0.7805	0.9275	0.8477	69	0.5455	0.7241	0.6222	58	0.8047	0.8947	0.8474	152	0.6111	0.7333	0.6667	30	0.7647	0.8966	0.8254	29	0.7286	0.8580	0.7880	0.9554
0.1137	35.0	3710	0.1366	0.7711	0.9275	0.8421	69	0.5775	0.7069	0.6357	58	0.7965	0.9013	0.8457	152	0.6216	0.7667	0.6866	30	0.7647	0.8966	0.8254	29	0.7330	0.8609	0.7918	0.9552
0.1138	36.0	3816	0.1324	0.8	0.9275	0.8591	69	0.5811	0.7414	0.6515	58	0.8059	0.9013	0.8509	152	0.6216	0.7667	0.6866	30	0.7647	0.8966	0.8254	29	0.7418	0.8669	0.7995	0.9570
0.1151	37.0	3922	0.1325	0.7805	0.9275	0.8477	69	0.5972	0.7414	0.6615	58	0.8144	0.8947	0.8527	152	0.6216	0.7667	0.6866	30	0.7647	0.8966	0.8254	29	0.7449	0.8639	0.8	0.9577
0.1083	38.0	4028	0.1363	0.7619	0.9275	0.8366	69	0.5513	0.7414	0.6324	58	0.8	0.8947	0.8447	152	0.6216	0.7667	0.6866	30	0.7647	0.8966	0.8254	29	0.7246	0.8639	0.7881	0.9536
0.1098	39.0	4134	0.1288	0.8101	0.9275	0.8649	69	0.6471	0.7586	0.6984	58	0.8193	0.8947	0.8553	152	0.6389	0.7667	0.6970	30	0.7647	0.8966	0.8254	29	0.7650	0.8669	0.8128	0.9590
0.1087	40.0	4240	0.1278	0.8101	0.9275	0.8649	69	0.6377	0.7586	0.6929	58	0.8059	0.9013	0.8509	152	0.6111	0.7333	0.6667	30	0.7714	0.9310	0.8438	29	0.7558	0.8698	0.8088	0.9585
0.1075	41.0	4346	0.1270	0.7975	0.9130	0.8514	69	0.6567	0.7586	0.7040	58	0.8059	0.9013	0.8509	152	0.6111	0.7333	0.6667	30	0.7714	0.9310	0.8438	29	0.7571	0.8669	0.8083	0.9583
0.106	42.0	4452	0.1259	0.8	0.9275	0.8591	69	0.6615	0.7414	0.6992	58	0.8059	0.9013	0.8509	152	0.6389	0.7667	0.6970	30	0.7714	0.9310	0.8438	29	0.7617	0.8698	0.8122	0.9588
0.1079	43.0	4558	0.1328	0.7805	0.9275	0.8477	69	0.6301	0.7931	0.7023	58	0.8012	0.9013	0.8483	152	0.6389	0.7667	0.6970	30	0.7273	0.8276	0.7742	29	0.7443	0.8698	0.8022	0.9565
0.1072	44.0	4664	0.1249	0.8	0.9275	0.8591	69	0.6119	0.7069	0.6560	58	0.8012	0.9013	0.8483	152	0.6111	0.7333	0.6667	30	0.7714	0.9310	0.8438	29	0.7481	0.8609	0.8006	0.9577
0.1049	45.0	4770	0.1304	0.7778	0.9130	0.84	69	0.6338	0.7759	0.6977	58	0.8059	0.9013	0.8509	152	0.6216	0.7667	0.6866	30	0.7647	0.8966	0.8254	29	0.7481	0.8698	0.8044	0.9567
0.1033	46.0	4876	0.1285	0.8	0.9275	0.8591	69	0.6216	0.7931	0.6970	58	0.8059	0.9013	0.8509	152	0.6389	0.7667	0.6970	30	0.7714	0.9310	0.8438	29	0.7519	0.8787	0.8104	0.9585
0.1039	47.0	4982	0.1308	0.7901	0.9275	0.8533	69	0.625	0.7759	0.6923	58	0.8084	0.8882	0.8464	152	0.6216	0.7667	0.6866	30	0.7353	0.8621	0.7937	29	0.7468	0.8639	0.8011	0.9572
0.0992	48.0	5088	0.1281	0.8077	0.9130	0.8571	69	0.6338	0.7759	0.6977	58	0.8059	0.9013	0.8509	152	0.6389	0.7667	0.6970	30	0.7353	0.8621	0.7937	29	0.7532	0.8669	0.8061	0.9572
0.1023	49.0	5194	0.1259	0.8077	0.9130	0.8571	69	0.6301	0.7931	0.7023	58	0.8012	0.9013	0.8483	152	0.6667	0.8	0.7273	30	0.7714	0.9310	0.8438	29	0.7557	0.8787	0.8126	0.9577
0.103	50.0	5300	0.1216	0.8243	0.8841	0.8531	69	0.6308	0.7069	0.6667	58	0.8193	0.8947	0.8553	152	0.6389	0.7667	0.6970	30	0.7714	0.9310	0.8438	29	0.7660	0.8521	0.8067	0.9585
0.0995	51.0	5406	0.1284	0.7901	0.9275	0.8533	69	0.6111	0.7586	0.6769	58	0.8204	0.9013	0.8589	152	0.6389	0.7667	0.6970	30	0.7353	0.8621	0.7937	29	0.7513	0.8669	0.8049	0.9575
0.0967	52.0	5512	0.1298	0.8	0.9275	0.8591	69	0.6301	0.7931	0.7023	58	0.8383	0.9211	0.8777	152	0.6389	0.7667	0.6970	30	0.7273	0.8276	0.7742	29	0.7635	0.8787	0.8171	0.9583
0.0999	53.0	5618	0.1234	0.8077	0.9130	0.8571	69	0.6269	0.7241	0.672	58	0.8036	0.8882	0.8437	152	0.6389	0.7667	0.6970	30	0.7714	0.9310	0.8438	29	0.7552	0.8580	0.8033	0.9583
0.0994	54.0	5724	0.1243	0.8077	0.9130	0.8571	69	0.6364	0.7241	0.6774	58	0.8144	0.8947	0.8527	152	0.6389	0.7667	0.6970	30	0.7714	0.9310	0.8438	29	0.7618	0.8609	0.8083	0.9583
0.0993	55.0	5830	0.1302	0.7901	0.9275	0.8533	69	0.6216	0.7931	0.6970	58	0.8225	0.9145	0.8660	152	0.6389	0.7667	0.6970	30	0.7353	0.8621	0.7937	29	0.7538	0.8787	0.8115	0.9577
0.0968	56.0	5936	0.1253	0.7901	0.9275	0.8533	69	0.6462	0.7241	0.6829	58	0.8036	0.8882	0.8437	152	0.6389	0.7667	0.6970	30	0.7353	0.8621	0.7937	29	0.7526	0.8550	0.8006	0.9572
0.0955	57.0	6042	0.1264	0.8	0.9275	0.8591	69	0.6377	0.7586	0.6929	58	0.8274	0.9145	0.8687	152	0.6216	0.7667	0.6866	30	0.7429	0.8966	0.8125	29	0.7609	0.8757	0.8143	0.9583
0.0939	58.0	6148	0.1252	0.8101	0.9275	0.8649	69	0.6389	0.7931	0.7077	58	0.8204	0.9013	0.8589	152	0.6389	0.7667	0.6970	30	0.7429	0.8966	0.8125	29	0.7609	0.8757	0.8143	0.9590
0.0939	59.0	6254	0.1213	0.8101	0.9275	0.8649	69	0.6418	0.7414	0.688	58	0.8036	0.8882	0.8437	152	0.6389	0.7667	0.6970	30	0.7714	0.9310	0.8438	29	0.7584	0.8639	0.8077	0.9580
0.0955	60.0	6360	0.1300	0.8	0.9275	0.8591	69	0.6324	0.7414	0.6825	58	0.8204	0.9013	0.8589	152	0.6216	0.7667	0.6866	30	0.7353	0.8621	0.7937	29	0.7565	0.8639	0.8066	0.9580
0.0941	61.0	6466	0.1269	0.8	0.9275	0.8591	69	0.6522	0.7759	0.7087	58	0.8144	0.8947	0.8527	152	0.6389	0.7667	0.6970	30	0.7647	0.8966	0.8254	29	0.7617	0.8698	0.8122	0.9588
0.0948	62.0	6572	0.1268	0.8101	0.9275	0.8649	69	0.6471	0.7586	0.6984	58	0.8204	0.9013	0.8589	152	0.6389	0.7667	0.6970	30	0.7353	0.8621	0.7937	29	0.7630	0.8669	0.8116	0.9585
0.0932	63.0	6678	0.1251	0.8101	0.9275	0.8649	69	0.6567	0.7586	0.7040	58	0.8214	0.9079	0.8625	152	0.6389	0.7667	0.6970	30	0.7353	0.8621	0.7937	29	0.7656	0.8698	0.8144	0.9593
0.0918	64.0	6784	0.1311	0.8	0.9275	0.8591	69	0.6377	0.7586	0.6929	58	0.8263	0.9079	0.8652	152	0.6216	0.7667	0.6866	30	0.7353	0.8621	0.7937	29	0.7597	0.8698	0.8110	0.9583
0.0924	65.0	6890	0.1265	0.8	0.9275	0.8591	69	0.6429	0.7759	0.7031	58	0.8303	0.9013	0.8644	152	0.6216	0.7667	0.6866	30	0.7353	0.8621	0.7937	29	0.7617	0.8698	0.8122	0.9588
0.0951	66.0	6996	0.1274	0.8	0.9275	0.8591	69	0.6429	0.7759	0.7031	58	0.8204	0.9013	0.8589	152	0.6216	0.7667	0.6866	30	0.7353	0.8621	0.7937	29	0.7577	0.8698	0.8099	0.9583
0.0905	67.0	7102	0.1302	0.8	0.9275	0.8591	69	0.625	0.7759	0.6923	58	0.8313	0.9079	0.8679	152	0.6216	0.7667	0.6866	30	0.7353	0.8621	0.7937	29	0.7584	0.8728	0.8116	0.9580
0.0907	68.0	7208	0.1307	0.8	0.9275	0.8591	69	0.6197	0.7586	0.6822	58	0.8373	0.9145	0.8742	152	0.6216	0.7667	0.6866	30	0.7353	0.8621	0.7937	29	0.7603	0.8728	0.8127	0.9575
0.0922	69.0	7314	0.1293	0.8	0.9275	0.8591	69	0.6301	0.7931	0.7023	58	0.8313	0.9079	0.8679	152	0.6216	0.7667	0.6866	30	0.7353	0.8621	0.7937	29	0.7590	0.8757	0.8132	0.9580
0.0895	70.0	7420	0.1219	0.8052	0.8986	0.8493	69	0.6667	0.7241	0.6942	58	0.7976	0.8816	0.8375	152	0.5946	0.7333	0.6567	30	0.7576	0.8621	0.8065	29	0.7540	0.8432	0.7961	0.9580
0.0896	71.0	7526	0.1266	0.8077	0.9130	0.8571	69	0.6338	0.7759	0.6977	58	0.8155	0.9013	0.8562	152	0.6216	0.7667	0.6866	30	0.7353	0.8621	0.7937	29	0.7552	0.8669	0.8072	0.9580
0.0905	72.0	7632	0.1289	0.7975	0.9130	0.8514	69	0.625	0.7759	0.6923	58	0.8263	0.9079	0.8652	152	0.6216	0.7667	0.6866	30	0.7353	0.8621	0.7937	29	0.7558	0.8698	0.8088	0.9575
0.0879	73.0	7738	0.1252	0.8077	0.9130	0.8571	69	0.6471	0.7586	0.6984	58	0.8204	0.9013	0.8589	152	0.6216	0.7667	0.6866	30	0.7353	0.8621	0.7937	29	0.7604	0.8639	0.8089	0.9580
0.0902	74.0	7844	0.1328	0.8	0.9275	0.8591	69	0.6164	0.7759	0.6870	58	0.8424	0.9145	0.8770	152	0.6216	0.7667	0.6866	30	0.7353	0.8621	0.7937	29	0.7609	0.8757	0.8143	0.9577
0.088	75.0	7950	0.1279	0.7975	0.9130	0.8514	69	0.6197	0.7586	0.6822	58	0.8424	0.9145	0.8770	152	0.6216	0.7667	0.6866	30	0.7353	0.8621	0.7937	29	0.7617	0.8698	0.8122	0.9583
0.0881	76.0	8056	0.1255	0.8077	0.9130	0.8571	69	0.6377	0.7586	0.6929	58	0.8424	0.9145	0.8770	152	0.6216	0.7667	0.6866	30	0.7353	0.8621	0.7937	29	0.7676	0.8698	0.8155	0.9593
0.0869	77.0	8162	0.1273	0.8077	0.9130	0.8571	69	0.6338	0.7759	0.6977	58	0.8424	0.9145	0.8770	152	0.6216	0.7667	0.6866	30	0.7353	0.8621	0.7937	29	0.7662	0.8728	0.8160	0.9588
0.09	78.0	8268	0.1268	0.8077	0.9130	0.8571	69	0.6286	0.7586	0.6875	58	0.8424	0.9145	0.8770	152	0.6216	0.7667	0.6866	30	0.7647	0.8966	0.8254	29	0.7682	0.8728	0.8172	0.9590
0.0875	79.0	8374	0.1275	0.7975	0.9130	0.8514	69	0.6111	0.7586	0.6769	58	0.8364	0.9079	0.8707	152	0.6216	0.7667	0.6866	30	0.7353	0.8621	0.7937	29	0.7571	0.8669	0.8083	0.9572
0.0879	80.0	8480	0.1292	0.7975	0.9130	0.8514	69	0.6111	0.7586	0.6769	58	0.8364	0.9079	0.8707	152	0.6216	0.7667	0.6866	30	0.7353	0.8621	0.7937	29	0.7571	0.8669	0.8083	0.9575
0.0877	81.0	8586	0.1294	0.7975	0.9130	0.8514	69	0.625	0.7759	0.6923	58	0.8364	0.9079	0.8707	152	0.6216	0.7667	0.6866	30	0.7353	0.8621	0.7937	29	0.7597	0.8698	0.8110	0.9572
0.0845	82.0	8692	0.1288	0.7975	0.9130	0.8514	69	0.6286	0.7586	0.6875	58	0.8364	0.9079	0.8707	152	0.6216	0.7667	0.6866	30	0.7353	0.8621	0.7937	29	0.7610	0.8669	0.8105	0.9583
0.0867	83.0	8798	0.1259	0.7949	0.8986	0.8435	69	0.6286	0.7586	0.6875	58	0.8415	0.9079	0.8734	152	0.6216	0.7667	0.6866	30	0.7647	0.8966	0.8254	29	0.7650	0.8669	0.8128	0.9588
0.0861	84.0	8904	0.1289	0.7975	0.9130	0.8514	69	0.6286	0.7586	0.6875	58	0.8415	0.9079	0.8734	152	0.6216	0.7667	0.6866	30	0.7353	0.8621	0.7937	29	0.7630	0.8669	0.8116	0.9585
0.0896	85.0	9010	0.1306	0.7975	0.9130	0.8514	69	0.6338	0.7759	0.6977	58	0.8424	0.9145	0.8770	152	0.6216	0.7667	0.6866	30	0.7353	0.8621	0.7937	29	0.7642	0.8728	0.8149	0.9585
0.0863	86.0	9116	0.1287	0.7975	0.9130	0.8514	69	0.6286	0.7586	0.6875	58	0.8364	0.9079	0.8707	152	0.6216	0.7667	0.6866	30	0.7353	0.8621	0.7937	29	0.7610	0.8669	0.8105	0.9583
0.0861	87.0	9222	0.1303	0.7975	0.9130	0.8514	69	0.625	0.7759	0.6923	58	0.8364	0.9079	0.8707	152	0.6216	0.7667	0.6866	30	0.7353	0.8621	0.7937	29	0.7597	0.8698	0.8110	0.9577
0.0844	88.0	9328	0.1293	0.7975	0.9130	0.8514	69	0.6429	0.7759	0.7031	58	0.8424	0.9145	0.8770	152	0.6216	0.7667	0.6866	30	0.7353	0.8621	0.7937	29	0.7662	0.8728	0.8160	0.9593
0.0858	89.0	9434	0.1283	0.7975	0.9130	0.8514	69	0.6429	0.7759	0.7031	58	0.8364	0.9079	0.8707	152	0.6216	0.7667	0.6866	30	0.7353	0.8621	0.7937	29	0.7636	0.8698	0.8133	0.9590
0.0847	90.0	9540	0.1291	0.7975	0.9130	0.8514	69	0.6338	0.7759	0.6977	58	0.8364	0.9079	0.8707	152	0.6216	0.7667	0.6866	30	0.7353	0.8621	0.7937	29	0.7617	0.8698	0.8122	0.9588
0.0854	91.0	9646	0.1283	0.7975	0.9130	0.8514	69	0.6429	0.7759	0.7031	58	0.8364	0.9079	0.8707	152	0.6216	0.7667	0.6866	30	0.7647	0.8966	0.8254	29	0.7662	0.8728	0.8160	0.9590
0.0832	92.0	9752	0.1289	0.7975	0.9130	0.8514	69	0.6429	0.7759	0.7031	58	0.8364	0.9079	0.8707	152	0.6216	0.7667	0.6866	30	0.7647	0.8966	0.8254	29	0.7662	0.8728	0.8160	0.9593
0.0849	93.0	9858	0.1296	0.7975	0.9130	0.8514	69	0.6338	0.7759	0.6977	58	0.8364	0.9079	0.8707	152	0.6216	0.7667	0.6866	30	0.7353	0.8621	0.7937	29	0.7617	0.8698	0.8122	0.9588
0.0853	94.0	9964	0.1278	0.8077	0.9130	0.8571	69	0.6429	0.7759	0.7031	58	0.8415	0.9079	0.8734	152	0.6216	0.7667	0.6866	30	0.7353	0.8621	0.7937	29	0.7676	0.8698	0.8155	0.9588
0.0858	95.0	10070	0.1280	0.7975	0.9130	0.8514	69	0.6429	0.7759	0.7031	58	0.8415	0.9079	0.8734	152	0.6216	0.7667	0.6866	30	0.7353	0.8621	0.7937	29	0.7656	0.8698	0.8144	0.9588
0.0838	96.0	10176	0.1294	0.7975	0.9130	0.8514	69	0.6338	0.7759	0.6977	58	0.8364	0.9079	0.8707	152	0.6216	0.7667	0.6866	30	0.7353	0.8621	0.7937	29	0.7617	0.8698	0.8122	0.9588
0.0868	97.0	10282	0.1290	0.7975	0.9130	0.8514	69	0.6429	0.7759	0.7031	58	0.8415	0.9079	0.8734	152	0.6216	0.7667	0.6866	30	0.7353	0.8621	0.7937	29	0.7656	0.8698	0.8144	0.9588
0.081	98.0	10388	0.1292	0.7975	0.9130	0.8514	69	0.6338	0.7759	0.6977	58	0.8415	0.9079	0.8734	152	0.6216	0.7667	0.6866	30	0.7353	0.8621	0.7937	29	0.7636	0.8698	0.8133	0.9585
0.0834	99.0	10494	0.1290	0.7975	0.9130	0.8514	69	0.6429	0.7759	0.7031	58	0.8415	0.9079	0.8734	152	0.6216	0.7667	0.6866	30	0.7353	0.8621	0.7937	29	0.7656	0.8698	0.8144	0.9588
0.0835	100.0	10600	0.1291	0.7975	0.9130	0.8514	69	0.6338	0.7759	0.6977	58	0.8415	0.9079	0.8734	152	0.6216	0.7667	0.6866	30	0.7353	0.8621	0.7937	29	0.7636	0.8698	0.8133	0.9585

Framework versions

Transformers 4.39.3
Pytorch 2.3.0+cu121
Datasets 2.19.1
Tokenizers 0.15.2

License: mit
Languages: id
Created: May 27, 2024
Updated: Jun 3, 2024