nerugm-lora-r16-2

apwic/nerugm-lora-r16-2

nerugm-lora-r16-2 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

26.8 MB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.bin2.4 MB · 60%

At a glance

License: mit
Access: Public
Created: May 27, 2024
Updated: Jun 3, 2024
SHA: 249e3826

Base models

indolem/indobert-base-uncased

Model card

From the Hugging Face model README

nerugm-lora-r16-2

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: 0.1479
Location Precision: 0.7561
Location Recall: 0.8611
Location F1: 0.8052
Location Number: 72
Organization Precision: 0.7021
Organization Recall: 0.88
Organization F1: 0.7811
Organization Number: 75
Person Precision: 0.8385
Person Recall: 0.9441
Person F1: 0.8882
Person Number: 143
Quantity Precision: 0.5455
Quantity Recall: 0.7826
Quantity F1: 0.6429
Quantity Number: 23
Time Precision: 0.7241
Time Recall: 0.8077
Time F1: 0.7636
Time Number: 26
Overall Precision: 0.7569
Overall Recall: 0.8909
Overall F1: 0.8184
Overall Accuracy: 0.9590

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
1.1381	1.0	106	0.6853	0.0	0.0	0.0	72	0.0	0.0	0.0	75	0.0	0.0	0.0	143	0.0	0.0	0.0	23	0.0	0.0	0.0	26	0.0	0.0	0.0	0.8449
0.6775	2.0	212	0.5613	0.0	0.0	0.0	72	0.0	0.0	0.0	75	0.0	0.0	0.0	143	0.0	0.0	0.0	23	0.0	0.0	0.0	26	0.0	0.0	0.0	0.8466
0.5563	3.0	318	0.4266	0.5	0.1111	0.1818	72	0.0526	0.0133	0.0213	75	0.3393	0.2657	0.2980	143	0.0	0.0	0.0	23	0.2222	0.1538	0.1818	26	0.3072	0.1504	0.2020	0.8777
0.4194	4.0	424	0.3158	0.54	0.375	0.4426	72	0.3906	0.3333	0.3597	75	0.5126	0.7133	0.5965	143	0.0	0.0	0.0	23	0.5714	0.6154	0.5926	26	0.4775	0.5015	0.4892	0.9127
0.3199	5.0	530	0.2532	0.5682	0.6944	0.625	72	0.4471	0.5067	0.4750	75	0.6793	0.8741	0.7645	143	0.3214	0.3913	0.3529	23	0.7308	0.7308	0.7308	26	0.5864	0.7109	0.6427	0.9302
0.2663	6.0	636	0.2125	0.6207	0.75	0.6792	72	0.5158	0.6533	0.5765	75	0.7345	0.9091	0.8125	143	0.3214	0.3913	0.3529	23	0.6562	0.8077	0.7241	26	0.6277	0.7758	0.6939	0.9362
0.2335	7.0	742	0.1960	0.6941	0.8194	0.7516	72	0.5152	0.68	0.5862	75	0.7293	0.9231	0.8148	143	0.3871	0.5217	0.4444	23	0.6452	0.7692	0.7018	26	0.6417	0.8083	0.7154	0.9392
0.2093	8.0	848	0.1736	0.6932	0.8472	0.7625	72	0.5294	0.72	0.6102	75	0.7714	0.9441	0.8491	143	0.4286	0.5217	0.4706	23	0.6667	0.8462	0.7458	26	0.6667	0.8378	0.7425	0.9450
0.1945	9.0	954	0.1752	0.6848	0.875	0.7683	72	0.5340	0.7333	0.6180	75	0.7917	0.9301	0.8553	143	0.4194	0.5652	0.4815	23	0.6562	0.8077	0.7241	26	0.6690	0.8407	0.7451	0.9440
0.1804	10.0	1060	0.1638	0.7126	0.8611	0.7799	72	0.5567	0.72	0.6279	75	0.7765	0.9231	0.8435	143	0.4444	0.6957	0.5424	23	0.6667	0.8462	0.7458	26	0.6761	0.8437	0.7507	0.9457
0.1692	11.0	1166	0.1590	0.7778	0.875	0.8235	72	0.5741	0.8267	0.6776	75	0.7733	0.9301	0.8444	143	0.4545	0.6522	0.5357	23	0.7931	0.8846	0.8364	26	0.6998	0.8732	0.7769	0.9500
0.1645	12.0	1272	0.1452	0.7595	0.8333	0.7947	72	0.5773	0.7467	0.6512	75	0.8	0.9231	0.8571	143	0.5161	0.6957	0.5926	23	0.8214	0.8846	0.8519	26	0.7175	0.8466	0.7767	0.9515
0.1572	13.0	1378	0.1520	0.7722	0.8472	0.8079	72	0.5741	0.8267	0.6776	75	0.7882	0.9371	0.8562	143	0.6207	0.7826	0.6923	23	0.7419	0.8846	0.8070	26	0.7146	0.8791	0.7884	0.9515
0.1538	14.0	1484	0.1492	0.7763	0.8194	0.7973	72	0.5596	0.8133	0.6630	75	0.8110	0.9301	0.8664	143	0.6333	0.8261	0.7170	23	0.7667	0.8846	0.8214	26	0.7213	0.8702	0.7888	0.9510
0.1483	15.0	1590	0.1384	0.7662	0.8194	0.7919	72	0.5938	0.76	0.6667	75	0.8210	0.9301	0.8721	143	0.6207	0.7826	0.6923	23	0.8214	0.8846	0.8519	26	0.7398	0.8555	0.7934	0.9550
0.145	16.0	1696	0.1531	0.7317	0.8333	0.7792	72	0.5625	0.84	0.6738	75	0.8036	0.9441	0.8682	143	0.6452	0.8696	0.7407	23	0.7333	0.8462	0.7857	26	0.7092	0.8850	0.7874	0.9497
0.1378	17.0	1802	0.1462	0.7176	0.8472	0.7771	72	0.5701	0.8133	0.6703	75	0.8313	0.9301	0.8779	143	0.625	0.8696	0.7273	23	0.7931	0.8846	0.8364	26	0.7215	0.8791	0.7926	0.9515
0.137	18.0	1908	0.1437	0.7294	0.8611	0.7898	72	0.5455	0.8	0.6486	75	0.8418	0.9301	0.8837	143	0.6452	0.8696	0.7407	23	0.7931	0.8846	0.8364	26	0.7215	0.8791	0.7926	0.9522
0.1316	19.0	2014	0.1372	0.7317	0.8333	0.7792	72	0.6040	0.8133	0.6932	75	0.8199	0.9231	0.8684	143	0.6452	0.8696	0.7407	23	0.7586	0.8462	0.8	26	0.7302	0.8702	0.7941	0.9542
0.1274	20.0	2120	0.1510	0.7159	0.875	0.7875	72	0.5818	0.8533	0.6919	75	0.8210	0.9301	0.8721	143	0.625	0.8696	0.7273	23	0.6875	0.8462	0.7586	26	0.7123	0.8909	0.7916	0.9502
0.1279	21.0	2226	0.1444	0.7294	0.8611	0.7898	72	0.6095	0.8533	0.7111	75	0.8133	0.9441	0.8738	143	0.6452	0.8696	0.7407	23	0.7931	0.8846	0.8364	26	0.7308	0.8968	0.8053	0.9532
0.1256	22.0	2332	0.1347	0.7561	0.8611	0.8052	72	0.6238	0.84	0.7159	75	0.8333	0.9441	0.8852	143	0.6061	0.8696	0.7143	23	0.7931	0.8846	0.8364	26	0.7445	0.8938	0.8123	0.9567
0.123	23.0	2438	0.1353	0.7468	0.8194	0.7815	72	0.625	0.8667	0.7263	75	0.8242	0.9510	0.8831	143	0.5758	0.8261	0.6786	23	0.7586	0.8462	0.8	26	0.7341	0.8879	0.8037	0.9557
0.1219	24.0	2544	0.1473	0.6889	0.8611	0.7654	72	0.5981	0.8533	0.7033	75	0.8232	0.9441	0.8795	143	0.5882	0.8696	0.7018	23	0.6875	0.8462	0.7586	26	0.7096	0.8938	0.7911	0.9520
0.1193	25.0	2650	0.1401	0.7561	0.8611	0.8052	72	0.6465	0.8533	0.7356	75	0.8303	0.9580	0.8896	143	0.5758	0.8261	0.6786	23	0.7333	0.8462	0.7857	26	0.7433	0.8968	0.8128	0.9567
0.1168	26.0	2756	0.1358	0.7381	0.8611	0.7949	72	0.6238	0.84	0.7159	75	0.8385	0.9441	0.8882	143	0.6	0.7826	0.6792	23	0.7333	0.8462	0.7857	26	0.7389	0.8850	0.8054	0.9557
0.1132	27.0	2862	0.1407	0.6932	0.8472	0.7625	72	0.6517	0.7733	0.7073	75	0.8333	0.9441	0.8852	143	0.5758	0.8261	0.6786	23	0.7586	0.8462	0.8	26	0.7357	0.8702	0.7973	0.9547
0.115	28.0	2968	0.1366	0.7439	0.8472	0.7922	72	0.6275	0.8533	0.7232	75	0.8323	0.9371	0.8816	143	0.5938	0.8261	0.6909	23	0.7931	0.8846	0.8364	26	0.7414	0.8879	0.8081	0.9567
0.112	29.0	3074	0.1384	0.7470	0.8611	0.8	72	0.6436	0.8667	0.7386	75	0.8553	0.9510	0.9007	143	0.5938	0.8261	0.6909	23	0.7586	0.8462	0.8	26	0.7525	0.8968	0.8183	0.9560
0.1112	30.0	3180	0.1362	0.6966	0.8611	0.7702	72	0.6311	0.8667	0.7303	75	0.8447	0.9510	0.8947	143	0.5625	0.7826	0.6545	23	0.7586	0.8462	0.8	26	0.7319	0.8938	0.8048	0.9557
0.1093	31.0	3286	0.1323	0.7262	0.8472	0.7821	72	0.6702	0.84	0.7456	75	0.8447	0.9510	0.8947	143	0.5938	0.8261	0.6909	23	0.7931	0.8846	0.8364	26	0.755	0.8909	0.8173	0.9577
0.1075	32.0	3392	0.1293	0.775	0.8611	0.8158	72	0.6739	0.8267	0.7425	75	0.8599	0.9441	0.9	143	0.5938	0.8261	0.6909	23	0.7931	0.8846	0.8364	26	0.7718	0.8879	0.8258	0.9597
0.1046	33.0	3498	0.1313	0.7176	0.8472	0.7771	72	0.6598	0.8533	0.7442	75	0.8831	0.9510	0.9158	143	0.5625	0.7826	0.6545	23	0.7667	0.8846	0.8214	26	0.7588	0.8909	0.8195	0.9595
0.1017	34.0	3604	0.1427	0.7209	0.8611	0.7848	72	0.64	0.8533	0.7314	75	0.8282	0.9441	0.8824	143	0.5455	0.7826	0.6429	23	0.6875	0.8462	0.7586	26	0.7271	0.8879	0.7995	0.9547
0.1071	35.0	3710	0.1403	0.7126	0.8611	0.7799	72	0.6275	0.8533	0.7232	75	0.8662	0.9510	0.9067	143	0.5455	0.7826	0.6429	23	0.7931	0.8846	0.8364	26	0.7426	0.8938	0.8112	0.9562
0.1026	36.0	3816	0.1297	0.7262	0.8472	0.7821	72	0.6897	0.8	0.7407	75	0.85	0.9510	0.8977	143	0.5625	0.7826	0.6545	23	0.7931	0.8846	0.8364	26	0.7602	0.8791	0.8153	0.9590
0.1005	37.0	3922	0.1433	0.7209	0.8611	0.7848	72	0.6569	0.8933	0.7571	75	0.8405	0.9580	0.8954	143	0.5152	0.7391	0.6071	23	0.7667	0.8846	0.8214	26	0.7391	0.9027	0.8127	0.9550
0.0981	38.0	4028	0.1404	0.775	0.8611	0.8158	72	0.6436	0.8667	0.7386	75	0.8415	0.9650	0.8990	143	0.5455	0.7826	0.6429	23	0.7667	0.8846	0.8214	26	0.75	0.9027	0.8193	0.9572
0.0982	39.0	4134	0.1409	0.7654	0.8611	0.8105	72	0.6837	0.8933	0.7746	75	0.8344	0.9510	0.8889	143	0.5455	0.7826	0.6429	23	0.7667	0.8846	0.8214	26	0.7556	0.9027	0.8226	0.9580
0.0986	40.0	4240	0.1324	0.7531	0.8472	0.7974	72	0.7021	0.88	0.7811	75	0.8293	0.9510	0.8860	143	0.5484	0.7391	0.6296	23	0.7931	0.8846	0.8364	26	0.7594	0.8938	0.8211	0.9587
0.0963	41.0	4346	0.1360	0.7561	0.8611	0.8052	72	0.6804	0.88	0.7674	75	0.8344	0.9510	0.8889	143	0.5862	0.7391	0.6538	23	0.7931	0.8846	0.8364	26	0.76	0.8968	0.8227	0.9577
0.096	42.0	4452	0.1379	0.7470	0.8611	0.8	72	0.6875	0.88	0.7719	75	0.8457	0.9580	0.8984	143	0.5625	0.7826	0.6545	23	0.7419	0.8846	0.8070	26	0.7574	0.9027	0.8237	0.9585
0.0944	43.0	4558	0.1291	0.7625	0.8472	0.8026	72	0.7333	0.88	0.8	75	0.8662	0.9510	0.9067	143	0.5862	0.7391	0.6538	23	0.7586	0.8462	0.8	26	0.7844	0.8909	0.8343	0.9617
0.0959	44.0	4664	0.1381	0.7590	0.875	0.8129	72	0.7053	0.8933	0.7882	75	0.8509	0.9580	0.9013	143	0.5484	0.7391	0.6296	23	0.6897	0.7692	0.7273	26	0.7619	0.8968	0.8238	0.9570
0.0935	45.0	4770	0.1383	0.7778	0.875	0.8235	72	0.6842	0.8667	0.7647	75	0.8571	0.9650	0.9079	143	0.5312	0.7391	0.6182	23	0.7241	0.8077	0.7636	26	0.7638	0.8968	0.8250	0.9585
0.0903	46.0	4876	0.1356	0.7470	0.8611	0.8	72	0.6633	0.8667	0.7514	75	0.8562	0.9580	0.9043	143	0.5667	0.7391	0.6415	23	0.7931	0.8846	0.8364	26	0.76	0.8968	0.8227	0.9582
0.0933	47.0	4982	0.1516	0.7531	0.8472	0.7974	72	0.6869	0.9067	0.7816	75	0.8466	0.9650	0.9020	143	0.5	0.7391	0.5965	23	0.6897	0.7692	0.7273	26	0.7488	0.8968	0.8161	0.9552
0.093	48.0	5088	0.1348	0.7470	0.8611	0.8	72	0.6842	0.8667	0.7647	75	0.85	0.9510	0.8977	143	0.5484	0.7391	0.6296	23	0.7241	0.8077	0.7636	26	0.7563	0.8879	0.8168	0.9580
0.0906	49.0	5194	0.1454	0.7470	0.8611	0.8	72	0.6602	0.9067	0.7640	75	0.8562	0.9580	0.9043	143	0.5806	0.7826	0.6667	23	0.7241	0.8077	0.7636	26	0.7537	0.9027	0.8215	0.9570
0.0894	50.0	5300	0.1340	0.7625	0.8472	0.8026	72	0.7159	0.84	0.7730	75	0.8395	0.9510	0.8918	143	0.5806	0.7826	0.6667	23	0.8214	0.8846	0.8519	26	0.7738	0.8879	0.8269	0.9610
0.0882	51.0	5406	0.1365	0.7654	0.8611	0.8105	72	0.6771	0.8667	0.7602	75	0.8509	0.9580	0.9013	143	0.5667	0.7391	0.6415	23	0.7586	0.8462	0.8	26	0.7632	0.8938	0.8234	0.9595
0.0886	52.0	5512	0.1407	0.7561	0.8611	0.8052	72	0.6768	0.8933	0.7701	75	0.8519	0.9650	0.9049	143	0.5484	0.7391	0.6296	23	0.7241	0.8077	0.7636	26	0.7568	0.8997	0.8221	0.9587
0.086	53.0	5618	0.1391	0.7561	0.8611	0.8052	72	0.6907	0.8933	0.7791	75	0.8447	0.9510	0.8947	143	0.5806	0.7826	0.6667	23	0.7333	0.8462	0.7857	26	0.7606	0.8997	0.8243	0.9592
0.0872	54.0	5724	0.1392	0.7561	0.8611	0.8052	72	0.7021	0.88	0.7811	75	0.8608	0.9510	0.9037	143	0.5312	0.7391	0.6182	23	0.7586	0.8462	0.8	26	0.7671	0.8938	0.8256	0.9590
0.0897	55.0	5830	0.1569	0.7381	0.8611	0.7949	72	0.6602	0.9067	0.7640	75	0.8571	0.9650	0.9079	143	0.5152	0.7391	0.6071	23	0.6667	0.7692	0.7143	26	0.7421	0.8997	0.8133	0.9535
0.0881	56.0	5936	0.1365	0.7531	0.8472	0.7974	72	0.7143	0.8667	0.7831	75	0.8553	0.9510	0.9007	143	0.5312	0.7391	0.6182	23	0.7241	0.8077	0.7636	26	0.7653	0.8850	0.8208	0.9597
0.0857	57.0	6042	0.1363	0.7561	0.8611	0.8052	72	0.7333	0.88	0.8	75	0.85	0.9510	0.8977	143	0.5484	0.7391	0.6296	23	0.75	0.8077	0.7778	26	0.7724	0.8909	0.8274	0.9612
0.0846	58.0	6148	0.1401	0.7531	0.8472	0.7974	72	0.6979	0.8933	0.7836	75	0.85	0.9510	0.8977	143	0.5484	0.7391	0.6296	23	0.7586	0.8462	0.8	26	0.7632	0.8938	0.8234	0.9595
0.0843	59.0	6254	0.1426	0.7439	0.8472	0.7922	72	0.7128	0.8933	0.7929	75	0.8571	0.9650	0.9079	143	0.5312	0.7391	0.6182	23	0.7	0.8077	0.75	26	0.7619	0.8968	0.8238	0.9595
0.087	60.0	6360	0.1385	0.7439	0.8472	0.7922	72	0.6989	0.8667	0.7738	75	0.8553	0.9510	0.9007	143	0.5625	0.7826	0.6545	23	0.7857	0.8462	0.8148	26	0.7665	0.8909	0.8240	0.9595
0.0836	61.0	6466	0.1407	0.7561	0.8611	0.8052	72	0.6837	0.8933	0.7746	75	0.8625	0.9650	0.9109	143	0.5625	0.7826	0.6545	23	0.7241	0.8077	0.7636	26	0.7631	0.9027	0.8270	0.9602
0.0823	62.0	6572	0.1372	0.7625	0.8472	0.8026	72	0.7033	0.8533	0.7711	75	0.85	0.9510	0.8977	143	0.5667	0.7391	0.6415	23	0.7586	0.8462	0.8	26	0.7692	0.8850	0.8230	0.9602
0.0814	63.0	6678	0.1416	0.7561	0.8611	0.8052	72	0.6804	0.88	0.7674	75	0.85	0.9510	0.8977	143	0.5312	0.7391	0.6182	23	0.6897	0.7692	0.7273	26	0.7525	0.8879	0.8146	0.9580
0.0806	64.0	6784	0.1517	0.7561	0.8611	0.8052	72	0.6442	0.8933	0.7486	75	0.8571	0.9650	0.9079	143	0.5625	0.7826	0.6545	23	0.6667	0.7692	0.7143	26	0.7457	0.8997	0.8155	0.9565
0.0794	65.0	6890	0.1416	0.7561	0.8611	0.8052	72	0.7065	0.8667	0.7784	75	0.85	0.9510	0.8977	143	0.5312	0.7391	0.6182	23	0.7241	0.8077	0.7636	26	0.7620	0.8879	0.8202	0.9590
0.079	66.0	6996	0.1457	0.7561	0.8611	0.8052	72	0.6939	0.9067	0.7861	75	0.8571	0.9650	0.9079	143	0.5625	0.7826	0.6545	23	0.7241	0.8077	0.7636	26	0.7637	0.9056	0.8286	0.9592
0.0811	67.0	7102	0.1385	0.7654	0.8611	0.8105	72	0.6989	0.8667	0.7738	75	0.8553	0.9510	0.9007	143	0.5625	0.7826	0.6545	23	0.7586	0.8462	0.8	26	0.7690	0.8938	0.8267	0.9605
0.0792	68.0	7208	0.1480	0.7349	0.8472	0.7871	72	0.6569	0.8933	0.7571	75	0.8616	0.9580	0.9073	143	0.5312	0.7391	0.6182	23	0.7241	0.8077	0.7636	26	0.7481	0.8938	0.8145	0.9572
0.0795	69.0	7314	0.1455	0.7470	0.8611	0.8	72	0.6768	0.8933	0.7701	75	0.8395	0.9510	0.8918	143	0.5625	0.7826	0.6545	23	0.7586	0.8462	0.8	26	0.7531	0.8997	0.8199	0.9585
0.0805	70.0	7420	0.1422	0.7654	0.8611	0.8105	72	0.6989	0.8667	0.7738	75	0.8509	0.9580	0.9013	143	0.5625	0.7826	0.6545	23	0.7586	0.8462	0.8	26	0.7677	0.8968	0.8272	0.9600
0.0809	71.0	7526	0.1447	0.7561	0.8611	0.8052	72	0.7053	0.8933	0.7882	75	0.8509	0.9580	0.9013	143	0.5625	0.7826	0.6545	23	0.7241	0.8077	0.7636	26	0.7644	0.8997	0.8266	0.9595
0.0787	72.0	7632	0.1448	0.7439	0.8472	0.7922	72	0.7204	0.8933	0.7976	75	0.8509	0.9580	0.9013	143	0.5312	0.7391	0.6182	23	0.7241	0.8077	0.7636	26	0.7632	0.8938	0.8234	0.9597
0.0792	73.0	7738	0.1406	0.7439	0.8472	0.7922	72	0.6923	0.84	0.7590	75	0.8509	0.9580	0.9013	143	0.6	0.7826	0.6792	23	0.7586	0.8462	0.8	26	0.7659	0.8879	0.8224	0.9602
0.078	74.0	7844	0.1471	0.7439	0.8472	0.7922	72	0.7097	0.88	0.7857	75	0.85	0.9510	0.8977	143	0.5152	0.7391	0.6071	23	0.7241	0.8077	0.7636	26	0.7582	0.8879	0.8179	0.9582
0.0773	75.0	7950	0.1460	0.7439	0.8472	0.7922	72	0.6979	0.8933	0.7836	75	0.8509	0.9580	0.9013	143	0.5625	0.7826	0.6545	23	0.7241	0.8077	0.7636	26	0.76	0.8968	0.8227	0.9590
0.0772	76.0	8056	0.1484	0.7561	0.8611	0.8052	72	0.6979	0.8933	0.7836	75	0.8562	0.9580	0.9043	143	0.5625	0.7826	0.6545	23	0.7241	0.8077	0.7636	26	0.7644	0.8997	0.8266	0.9585
0.0767	77.0	8162	0.1515	0.7561	0.8611	0.8052	72	0.6907	0.8933	0.7791	75	0.8616	0.9580	0.9073	143	0.5152	0.7391	0.6071	23	0.7241	0.8077	0.7636	26	0.76	0.8968	0.8227	0.9575
0.0757	78.0	8268	0.1435	0.7875	0.875	0.8289	72	0.7079	0.84	0.7683	75	0.8544	0.9441	0.8970	143	0.5625	0.7826	0.6545	23	0.7241	0.8077	0.7636	26	0.7732	0.8850	0.8253	0.9590
0.0767	79.0	8374	0.1456	0.7654	0.8611	0.8105	72	0.7174	0.88	0.7904	75	0.8562	0.9580	0.9043	143	0.5312	0.7391	0.6182	23	0.7241	0.8077	0.7636	26	0.7690	0.8938	0.8267	0.9602
0.0752	80.0	8480	0.1556	0.7778	0.875	0.8235	72	0.6569	0.8933	0.7571	75	0.8562	0.9580	0.9043	143	0.5152	0.7391	0.6071	23	0.6667	0.7692	0.7143	26	0.7488	0.8968	0.8161	0.9555
0.078	81.0	8586	0.1439	0.7561	0.8611	0.8052	72	0.7021	0.88	0.7811	75	0.8509	0.9580	0.9013	143	0.5625	0.7826	0.6545	23	0.7	0.8077	0.75	26	0.7619	0.8968	0.8238	0.9600
0.0733	82.0	8692	0.1478	0.7561	0.8611	0.8052	72	0.7053	0.8933	0.7882	75	0.85	0.9510	0.8977	143	0.5152	0.7391	0.6071	23	0.6667	0.7692	0.7143	26	0.755	0.8909	0.8173	0.9587
0.0747	83.0	8798	0.1448	0.7531	0.8472	0.7974	72	0.7143	0.8667	0.7831	75	0.85	0.9510	0.8977	143	0.5625	0.7826	0.6545	23	0.7241	0.8077	0.7636	26	0.7659	0.8879	0.8224	0.9600
0.0755	84.0	8904	0.1465	0.7561	0.8611	0.8052	72	0.7128	0.8933	0.7929	75	0.85	0.9510	0.8977	143	0.5152	0.7391	0.6071	23	0.75	0.8077	0.7778	26	0.7632	0.8938	0.8234	0.9597
0.0757	85.0	9010	0.1434	0.7561	0.8611	0.8052	72	0.7079	0.84	0.7683	75	0.8385	0.9441	0.8882	143	0.5625	0.7826	0.6545	23	0.7241	0.8077	0.7636	26	0.7608	0.8820	0.8169	0.9592
0.076	86.0	9116	0.1468	0.7561	0.8611	0.8052	72	0.7033	0.8533	0.7711	75	0.85	0.9510	0.8977	143	0.5312	0.7391	0.6182	23	0.7241	0.8077	0.7636	26	0.7614	0.8850	0.8186	0.9587
0.0721	87.0	9222	0.1454	0.7561	0.8611	0.8052	72	0.7033	0.8533	0.7711	75	0.8447	0.9510	0.8947	143	0.5625	0.7826	0.6545	23	0.75	0.8077	0.7778	26	0.7640	0.8879	0.8213	0.9592
0.0724	88.0	9328	0.1470	0.7561	0.8611	0.8052	72	0.7065	0.8667	0.7784	75	0.85	0.9510	0.8977	143	0.5806	0.7826	0.6667	23	0.7241	0.8077	0.7636	26	0.7665	0.8909	0.8240	0.9595
0.074	89.0	9434	0.1489	0.7561	0.8611	0.8052	72	0.6989	0.8667	0.7738	75	0.85	0.9510	0.8977	143	0.5625	0.7826	0.6545	23	0.7241	0.8077	0.7636	26	0.7626	0.8909	0.8218	0.9590
0.0721	90.0	9540	0.1496	0.7561	0.8611	0.8052	72	0.7021	0.88	0.7811	75	0.85	0.9510	0.8977	143	0.5152	0.7391	0.6071	23	0.7241	0.8077	0.7636	26	0.7588	0.8909	0.8195	0.9587
0.0766	91.0	9646	0.1454	0.7561	0.8611	0.8052	72	0.6957	0.8533	0.7665	75	0.8385	0.9441	0.8882	143	0.5152	0.7391	0.6071	23	0.7241	0.8077	0.7636	26	0.7531	0.8820	0.8125	0.9587
0.075	92.0	9752	0.1483	0.7561	0.8611	0.8052	72	0.7021	0.88	0.7811	75	0.8447	0.9510	0.8947	143	0.5152	0.7391	0.6071	23	0.7241	0.8077	0.7636	26	0.7569	0.8909	0.8184	0.9587
0.0713	93.0	9858	0.1479	0.7561	0.8611	0.8052	72	0.7021	0.88	0.7811	75	0.8438	0.9441	0.8911	143	0.5152	0.7391	0.6071	23	0.7241	0.8077	0.7636	26	0.7563	0.8879	0.8168	0.9587
0.0727	94.0	9964	0.1480	0.7561	0.8611	0.8052	72	0.7021	0.88	0.7811	75	0.8509	0.9580	0.9013	143	0.5152	0.7391	0.6071	23	0.7241	0.8077	0.7636	26	0.7594	0.8938	0.8211	0.9590
0.0726	95.0	10070	0.1487	0.7561	0.8611	0.8052	72	0.7097	0.88	0.7857	75	0.8447	0.9510	0.8947	143	0.5152	0.7391	0.6071	23	0.7241	0.8077	0.7636	26	0.7588	0.8909	0.8195	0.9587
0.0733	96.0	10176	0.1490	0.7561	0.8611	0.8052	72	0.7021	0.88	0.7811	75	0.8375	0.9371	0.8845	143	0.5152	0.7391	0.6071	23	0.7241	0.8077	0.7636	26	0.7538	0.8850	0.8141	0.9580
0.0721	97.0	10282	0.1473	0.7561	0.8611	0.8052	72	0.6915	0.8667	0.7692	75	0.8385	0.9441	0.8882	143	0.5455	0.7826	0.6429	23	0.7241	0.8077	0.7636	26	0.7544	0.8879	0.8157	0.9585
0.0722	98.0	10388	0.1479	0.7561	0.8611	0.8052	72	0.7021	0.88	0.7811	75	0.8385	0.9441	0.8882	143	0.5455	0.7826	0.6429	23	0.7241	0.8077	0.7636	26	0.7569	0.8909	0.8184	0.9590
0.0729	99.0	10494	0.1479	0.7561	0.8611	0.8052	72	0.7021	0.88	0.7811	75	0.8385	0.9441	0.8882	143	0.5152	0.7391	0.6071	23	0.7241	0.8077	0.7636	26	0.7544	0.8879	0.8157	0.9587
0.0718	100.0	10600	0.1479	0.7561	0.8611	0.8052	72	0.7021	0.88	0.7811	75	0.8385	0.9441	0.8882	143	0.5455	0.7826	0.6429	23	0.7241	0.8077	0.7636	26	0.7569	0.8909	0.8184	0.9590

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