nerugm-seq_bn-rf16-2

apwic/nerugm-seq_bn-rf16-2

nerugm-seq_bn-rf16-2 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 Jul 21, 2024

Repo size

3.6 MB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.bin3.6 MB · 75%

At a glance

License: mit
Access: Public
Created: Jul 21, 2024
Updated: Jul 21, 2024
SHA: 5edf8433

Base models

indolem/indobert-base-uncased

Model card

From the Hugging Face model README

nerugm-seq_bn-rf16-2

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: 0.1775
Location Precision: 0.7821
Location Recall: 0.8472
Location F1: 0.8133
Location Number: 72
Organization Precision: 0.6701
Organization Recall: 0.8667
Organization F1: 0.7558
Organization Number: 75
Person Precision: 0.8654
Person Recall: 0.9441
Person F1: 0.9030
Person Number: 143
Quantity Precision: 0.5667
Quantity Recall: 0.7391
Quantity F1: 0.6415
Quantity Number: 23
Time Precision: 0.8148
Time Recall: 0.8462
Time F1: 0.8302
Time Number: 26
Overall Precision: 0.7732
Overall Recall: 0.8850
Overall F1: 0.8253
Overall Accuracy: 0.9617

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
0.932	1.0	106	0.6092	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
0.5616	2.0	212	0.4137	0.55	0.1528	0.2391	72	0.1591	0.0933	0.1176	75	0.4046	0.4895	0.4430	143	0.0	0.0	0.0	23	0.5294	0.3462	0.4186	26	0.3804	0.2861	0.3266	0.8864
0.4058	3.0	318	0.3135	0.6027	0.6111	0.6069	72	0.4412	0.4	0.4196	75	0.5540	0.8252	0.6629	143	0.12	0.1304	0.1250	23	0.7917	0.7308	0.76	26	0.5310	0.6313	0.5768	0.9209
0.3002	4.0	424	0.2447	0.6180	0.7639	0.6832	72	0.5	0.5733	0.5342	75	0.6772	0.8951	0.7711	143	0.25	0.3478	0.2909	23	0.8462	0.8462	0.8462	26	0.6066	0.7552	0.6728	0.9345
0.2302	5.0	530	0.1956	0.6264	0.7917	0.6994	72	0.6	0.6	0.6	75	0.75	0.8811	0.8103	143	0.3077	0.5217	0.3871	23	0.84	0.8077	0.8235	26	0.6558	0.7699	0.7083	0.9410
0.1943	6.0	636	0.1712	0.7059	0.8333	0.7643	72	0.5632	0.6533	0.6049	75	0.7840	0.8881	0.8328	143	0.3714	0.5652	0.4483	23	0.7857	0.8462	0.8148	26	0.6826	0.7994	0.7364	0.9452
0.1777	7.0	742	0.1684	0.7317	0.8333	0.7792	72	0.5895	0.7467	0.6588	75	0.7840	0.8881	0.8328	143	0.3947	0.6522	0.4918	23	0.7586	0.8462	0.8	26	0.6897	0.8260	0.7517	0.9467
0.162	8.0	848	0.1578	0.6897	0.8333	0.7547	72	0.6173	0.6667	0.6410	75	0.8165	0.9021	0.8571	143	0.4167	0.6522	0.5085	23	0.7097	0.8462	0.7719	26	0.7023	0.8142	0.7541	0.9492
0.154	9.0	954	0.1556	0.7093	0.8472	0.7722	72	0.625	0.7333	0.6748	75	0.8176	0.9091	0.8609	143	0.4706	0.6957	0.5614	23	0.7419	0.8846	0.8070	26	0.7161	0.8407	0.7734	0.9522
0.1445	10.0	1060	0.1476	0.7349	0.8472	0.7871	72	0.6429	0.72	0.6792	75	0.8187	0.9161	0.8647	143	0.4722	0.7391	0.5763	23	0.6875	0.8462	0.7586	26	0.7215	0.8407	0.7766	0.9530
0.1367	11.0	1166	0.1449	0.7209	0.8611	0.7848	72	0.6512	0.7467	0.6957	75	0.8397	0.9161	0.8763	143	0.4857	0.7391	0.5862	23	0.6875	0.8462	0.7586	26	0.7291	0.8496	0.7847	0.9545
0.132	12.0	1272	0.1459	0.7468	0.8194	0.7815	72	0.6420	0.6933	0.6667	75	0.8228	0.9091	0.8638	143	0.5152	0.7391	0.6071	23	0.7667	0.8846	0.8214	26	0.7375	0.8289	0.7806	0.9522
0.1276	13.0	1378	0.1365	0.7375	0.8194	0.7763	72	0.6782	0.7867	0.7284	75	0.8397	0.9161	0.8763	143	0.5862	0.7391	0.6538	23	0.8214	0.8846	0.8519	26	0.7605	0.8525	0.8039	0.9572
0.1248	14.0	1484	0.1440	0.7722	0.8472	0.8079	72	0.6667	0.8533	0.7485	75	0.8397	0.9161	0.8763	143	0.5312	0.7391	0.6182	23	0.7333	0.8462	0.7857	26	0.7506	0.8702	0.8060	0.9562
0.1209	15.0	1590	0.1367	0.7662	0.8194	0.7919	72	0.6739	0.8267	0.7425	75	0.8533	0.8951	0.8737	143	0.5667	0.7391	0.6415	23	0.7857	0.8462	0.8148	26	0.7639	0.8496	0.8045	0.9577
0.1172	16.0	1696	0.1445	0.7349	0.8472	0.7871	72	0.7033	0.8533	0.7711	75	0.8408	0.9231	0.8800	143	0.5152	0.7391	0.6071	23	0.7586	0.8462	0.8	26	0.7532	0.8732	0.8087	0.9562
0.1115	17.0	1802	0.1387	0.7692	0.8333	0.8	72	0.7333	0.88	0.8	75	0.8462	0.9231	0.8829	143	0.5	0.7391	0.5965	23	0.7857	0.8462	0.8148	26	0.7694	0.8761	0.8193	0.9580
0.1103	18.0	1908	0.1388	0.7470	0.8611	0.8	72	0.7326	0.84	0.7826	75	0.8562	0.9161	0.8851	143	0.5294	0.7826	0.6316	23	0.7586	0.8462	0.8	26	0.7688	0.8732	0.8177	0.9590
0.1071	19.0	2014	0.1341	0.7662	0.8194	0.7919	72	0.7442	0.8533	0.7950	75	0.8481	0.9371	0.8904	143	0.5	0.7391	0.5965	23	0.7586	0.8462	0.8	26	0.7708	0.8732	0.8188	0.9595
0.1028	20.0	2120	0.1560	0.6932	0.8472	0.7625	72	0.6538	0.9067	0.7598	75	0.8428	0.9371	0.8874	143	0.5152	0.7391	0.6071	23	0.6364	0.8077	0.7119	26	0.7218	0.8879	0.7963	0.9520
0.1016	21.0	2226	0.1470	0.7294	0.8611	0.7898	72	0.7	0.9333	0.8	75	0.8438	0.9441	0.8911	143	0.5455	0.7826	0.6429	23	0.7586	0.8462	0.8	26	0.7543	0.9056	0.8231	0.9567
0.0999	22.0	2332	0.1354	0.7564	0.8194	0.7867	72	0.7312	0.9067	0.8095	75	0.8526	0.9301	0.8896	143	0.5152	0.7391	0.6071	23	0.7586	0.8462	0.8	26	0.7686	0.8820	0.8214	0.9597
0.0953	23.0	2438	0.1358	0.7867	0.8194	0.8027	72	0.7340	0.92	0.8166	75	0.8516	0.9231	0.8859	143	0.5	0.7391	0.5965	23	0.7586	0.8462	0.8	26	0.7726	0.8820	0.8237	0.9597
0.0932	24.0	2544	0.1410	0.7531	0.8472	0.7974	72	0.7204	0.8933	0.7976	75	0.8526	0.9301	0.8896	143	0.4571	0.6957	0.5517	23	0.7333	0.8462	0.7857	26	0.7570	0.8820	0.8147	0.9575
0.0914	25.0	2650	0.1396	0.7531	0.8472	0.7974	72	0.7083	0.9067	0.7953	75	0.8516	0.9231	0.8859	143	0.5	0.7391	0.5965	23	0.7586	0.8462	0.8	26	0.7595	0.8850	0.8174	0.9585
0.0898	26.0	2756	0.1374	0.7867	0.8194	0.8027	72	0.7363	0.8933	0.8072	75	0.8471	0.9301	0.8867	143	0.5161	0.6957	0.5926	23	0.75	0.8077	0.7778	26	0.7749	0.8732	0.8211	0.9595
0.0862	27.0	2862	0.1478	0.7229	0.8333	0.7742	72	0.7222	0.8667	0.7879	75	0.8428	0.9371	0.8874	143	0.5	0.7826	0.6102	23	0.7586	0.8462	0.8	26	0.7531	0.8820	0.8125	0.9580
0.0847	28.0	2968	0.1362	0.75	0.8333	0.7895	72	0.7333	0.88	0.8	75	0.8516	0.9231	0.8859	143	0.5333	0.6957	0.6038	23	0.7586	0.8462	0.8	26	0.7708	0.8732	0.8188	0.9600
0.0837	29.0	3074	0.1457	0.7625	0.8472	0.8026	72	0.6731	0.9333	0.7821	75	0.8506	0.9161	0.8822	143	0.5312	0.7391	0.6182	23	0.7857	0.8462	0.8148	26	0.7563	0.8879	0.8168	0.9572
0.0823	30.0	3180	0.1313	0.7763	0.8194	0.7973	72	0.7253	0.88	0.7952	75	0.8627	0.9231	0.8919	143	0.5	0.6522	0.5660	23	0.7857	0.8462	0.8148	26	0.7778	0.8673	0.8201	0.9617
0.0818	31.0	3286	0.1331	0.7532	0.8056	0.7785	72	0.7262	0.8133	0.7673	75	0.8526	0.9301	0.8896	143	0.5161	0.6957	0.5926	23	0.7778	0.8077	0.7925	26	0.7707	0.8525	0.8095	0.9600
0.0791	32.0	3392	0.1391	0.7317	0.8333	0.7792	72	0.7204	0.8933	0.7976	75	0.8627	0.9231	0.8919	143	0.5	0.7391	0.5965	23	0.75	0.8077	0.7778	26	0.7615	0.8761	0.8148	0.9607
0.0767	33.0	3498	0.1348	0.7662	0.8194	0.7919	72	0.7204	0.8933	0.7976	75	0.8654	0.9441	0.9030	143	0.4839	0.6522	0.5556	23	0.7333	0.8462	0.7857	26	0.7700	0.8791	0.8209	0.9612
0.0747	34.0	3604	0.1479	0.7317	0.8333	0.7792	72	0.6939	0.9067	0.7861	75	0.8428	0.9371	0.8874	143	0.5	0.7391	0.5965	23	0.7333	0.8462	0.7857	26	0.7469	0.8879	0.8113	0.9570
0.0748	35.0	3710	0.1600	0.7262	0.8472	0.7821	72	0.5948	0.92	0.7225	75	0.875	0.9301	0.9017	143	0.5	0.7391	0.5965	23	0.7586	0.8462	0.8	26	0.7277	0.8909	0.8011	0.9525
0.0748	36.0	3816	0.1407	0.7407	0.8333	0.7843	72	0.7053	0.8933	0.7882	75	0.8535	0.9371	0.8933	143	0.5172	0.6522	0.5769	23	0.7857	0.8462	0.8148	26	0.7641	0.8791	0.8176	0.9600
0.0694	37.0	3922	0.1407	0.76	0.7917	0.7755	72	0.6832	0.92	0.7841	75	0.8581	0.9301	0.8926	143	0.5357	0.6522	0.5882	23	0.7586	0.8462	0.8	26	0.7629	0.8732	0.8143	0.9600
0.0674	38.0	4028	0.1403	0.7632	0.8056	0.7838	72	0.7128	0.8933	0.7929	75	0.8590	0.9371	0.8963	143	0.5161	0.6957	0.5926	23	0.75	0.8077	0.7778	26	0.7688	0.8732	0.8177	0.9597
0.0677	39.0	4134	0.1457	0.7632	0.8056	0.7838	72	0.7041	0.92	0.7977	75	0.8581	0.9301	0.8926	143	0.5312	0.7391	0.6182	23	0.7857	0.8462	0.8148	26	0.7686	0.8820	0.8214	0.9590
0.0667	40.0	4240	0.1403	0.7532	0.8056	0.7785	72	0.6957	0.8533	0.7665	75	0.8636	0.9301	0.8956	143	0.5333	0.6957	0.6038	23	0.75	0.8077	0.7778	26	0.7664	0.8614	0.8111	0.9607
0.0647	41.0	4346	0.1435	0.7375	0.8194	0.7763	72	0.6735	0.88	0.7630	75	0.8599	0.9441	0.9	143	0.5357	0.6522	0.5882	23	0.75	0.8077	0.7778	26	0.7570	0.8732	0.8110	0.9602
0.0625	42.0	4452	0.1474	0.7468	0.8194	0.7815	72	0.6837	0.8933	0.7746	75	0.8654	0.9441	0.9030	143	0.5	0.6957	0.5818	23	0.75	0.8077	0.7778	26	0.7583	0.8791	0.8142	0.9592
0.0639	43.0	4558	0.1503	0.7407	0.8333	0.7843	72	0.7065	0.8667	0.7784	75	0.8654	0.9441	0.9030	143	0.5152	0.7391	0.6071	23	0.75	0.8077	0.7778	26	0.7641	0.8791	0.8176	0.9607
0.0615	44.0	4664	0.1499	0.7439	0.8472	0.7922	72	0.6970	0.92	0.7931	75	0.8710	0.9441	0.9060	143	0.4839	0.6522	0.5556	23	0.8077	0.8077	0.8077	26	0.7659	0.8879	0.8224	0.9612
0.0595	45.0	4770	0.1458	0.7632	0.8056	0.7838	72	0.6837	0.8933	0.7746	75	0.8645	0.9371	0.8993	143	0.4839	0.6522	0.5556	23	0.8077	0.8077	0.8077	26	0.7642	0.8702	0.8138	0.9600
0.0608	46.0	4876	0.1408	0.7564	0.8194	0.7867	72	0.7191	0.8533	0.7805	75	0.8701	0.9371	0.9024	143	0.5357	0.6522	0.5882	23	0.8077	0.8077	0.8077	26	0.7813	0.8643	0.8207	0.9622
0.0612	47.0	4982	0.1553	0.7532	0.8056	0.7785	72	0.69	0.92	0.7886	75	0.8654	0.9441	0.9030	143	0.4848	0.6957	0.5714	23	0.7778	0.8077	0.7925	26	0.7608	0.8820	0.8169	0.9590
0.0602	48.0	5088	0.1468	0.7625	0.8472	0.8026	72	0.7097	0.88	0.7857	75	0.8701	0.9371	0.9024	143	0.4839	0.6522	0.5556	23	0.75	0.8077	0.7778	26	0.7694	0.8761	0.8193	0.9617
0.0581	49.0	5194	0.1489	0.75	0.8333	0.7895	72	0.6970	0.92	0.7931	75	0.8599	0.9441	0.9	143	0.5172	0.6522	0.5769	23	0.8077	0.8077	0.8077	26	0.7673	0.8850	0.8219	0.9615
0.0553	50.0	5300	0.1541	0.7662	0.8194	0.7919	72	0.6735	0.88	0.7630	75	0.8701	0.9371	0.9024	143	0.5152	0.7391	0.6071	23	0.8077	0.8077	0.8077	26	0.7655	0.8761	0.8171	0.9595
0.0555	51.0	5406	0.1573	0.7792	0.8333	0.8054	72	0.6571	0.92	0.7667	75	0.8544	0.9441	0.8970	143	0.5667	0.7391	0.6415	23	0.8462	0.8462	0.8462	26	0.7652	0.8938	0.8245	0.9590
0.0562	52.0	5512	0.1513	0.7468	0.8194	0.7815	72	0.6979	0.8933	0.7836	75	0.8645	0.9371	0.8993	143	0.5484	0.7391	0.6296	23	0.75	0.8077	0.7778	26	0.7661	0.8791	0.8187	0.9602
0.0556	53.0	5618	0.1523	0.7564	0.8194	0.7867	72	0.7010	0.9067	0.7907	75	0.8544	0.9441	0.8970	143	0.5312	0.7391	0.6182	23	0.8	0.7692	0.7843	26	0.7667	0.8820	0.8203	0.9605
0.0549	54.0	5724	0.1687	0.7595	0.8333	0.7947	72	0.6339	0.9467	0.7594	75	0.8526	0.9301	0.8896	143	0.5152	0.7391	0.6071	23	0.75	0.8077	0.7778	26	0.7402	0.8909	0.8086	0.9555
0.0533	55.0	5830	0.1602	0.75	0.8333	0.7895	72	0.6574	0.9467	0.7760	75	0.8590	0.9371	0.8963	143	0.5484	0.7391	0.6296	23	0.7778	0.8077	0.7925	26	0.7537	0.8938	0.8178	0.9590
0.0511	56.0	5936	0.1552	0.7625	0.8472	0.8026	72	0.6875	0.88	0.7719	75	0.8645	0.9371	0.8993	143	0.5	0.7391	0.5965	23	0.75	0.8077	0.7778	26	0.7608	0.8820	0.8169	0.9605
0.0497	57.0	6042	0.1536	0.7692	0.8333	0.8	72	0.6907	0.8933	0.7791	75	0.8758	0.9371	0.9054	143	0.4848	0.6957	0.5714	23	0.7778	0.8077	0.7925	26	0.7680	0.8791	0.8198	0.9612
0.0492	58.0	6148	0.1586	0.7625	0.8472	0.8026	72	0.6768	0.8933	0.7701	75	0.8645	0.9371	0.8993	143	0.5152	0.7391	0.6071	23	0.7778	0.8077	0.7925	26	0.7614	0.8850	0.8186	0.9600
0.0489	59.0	6254	0.1573	0.7625	0.8472	0.8026	72	0.6869	0.9067	0.7816	75	0.8701	0.9371	0.9024	143	0.4848	0.6957	0.5714	23	0.7778	0.8077	0.7925	26	0.7634	0.8850	0.8197	0.9607
0.0494	60.0	6360	0.1614	0.7722	0.8472	0.8079	72	0.6970	0.92	0.7931	75	0.8645	0.9371	0.8993	143	0.4848	0.6957	0.5714	23	0.7778	0.8077	0.7925	26	0.7659	0.8879	0.8224	0.9605
0.0476	61.0	6466	0.1569	0.7564	0.8194	0.7867	72	0.6875	0.88	0.7719	75	0.8535	0.9371	0.8933	143	0.5152	0.7391	0.6071	23	0.8148	0.8462	0.8302	26	0.7621	0.8791	0.8164	0.9610
0.0469	62.0	6572	0.1600	0.7531	0.8472	0.7974	72	0.7021	0.88	0.7811	75	0.8535	0.9371	0.8933	143	0.5	0.6957	0.5818	23	0.7778	0.8077	0.7925	26	0.7621	0.8791	0.8164	0.9612
0.0482	63.0	6678	0.1566	0.775	0.8611	0.8158	72	0.6837	0.8933	0.7746	75	0.875	0.9301	0.9017	143	0.4839	0.6522	0.5556	23	0.8148	0.8462	0.8302	26	0.7706	0.8820	0.8226	0.9622
0.0481	64.0	6784	0.1712	0.75	0.8333	0.7895	72	0.6604	0.9333	0.7735	75	0.8544	0.9441	0.8970	143	0.4848	0.6957	0.5714	23	0.7857	0.8462	0.8148	26	0.7481	0.8938	0.8145	0.9590
0.0437	65.0	6890	0.1590	0.7595	0.8333	0.7947	72	0.6701	0.8667	0.7558	75	0.8710	0.9441	0.9060	143	0.5172	0.6522	0.5769	23	0.7778	0.8077	0.7925	26	0.7649	0.8732	0.8154	0.9617
0.0434	66.0	6996	0.1602	0.7595	0.8333	0.7947	72	0.6735	0.88	0.7630	75	0.8766	0.9441	0.9091	143	0.5517	0.6957	0.6154	23	0.8462	0.8462	0.8462	26	0.7746	0.8820	0.8248	0.9630
0.0431	67.0	7102	0.1639	0.7595	0.8333	0.7947	72	0.6907	0.8933	0.7791	75	0.8710	0.9441	0.9060	143	0.5312	0.7391	0.6182	23	0.8148	0.8462	0.8302	26	0.7718	0.8879	0.8258	0.9620
0.0428	68.0	7208	0.1702	0.7625	0.8472	0.8026	72	0.6733	0.9067	0.7727	75	0.8654	0.9441	0.9030	143	0.5484	0.7391	0.6296	23	0.8077	0.8077	0.8077	26	0.7665	0.8909	0.8240	0.9610
0.0422	69.0	7314	0.1660	0.7722	0.8472	0.8079	72	0.6869	0.9067	0.7816	75	0.8654	0.9441	0.9030	143	0.5667	0.7391	0.6415	23	0.8077	0.8077	0.8077	26	0.7744	0.8909	0.8285	0.9627
0.0443	70.0	7420	0.1704	0.7531	0.8472	0.7974	72	0.6733	0.9067	0.7727	75	0.8590	0.9371	0.8963	143	0.5333	0.6957	0.6038	23	0.8077	0.8077	0.8077	26	0.7614	0.8850	0.8186	0.9607
0.0422	71.0	7526	0.1673	0.7531	0.8472	0.7974	72	0.6979	0.8933	0.7836	75	0.8710	0.9441	0.9060	143	0.5484	0.7391	0.6296	23	0.8077	0.8077	0.8077	26	0.7738	0.8879	0.8269	0.9622
0.0429	72.0	7632	0.1664	0.7722	0.8472	0.8079	72	0.6979	0.8933	0.7836	75	0.8710	0.9441	0.9060	143	0.5	0.6957	0.5818	23	0.8077	0.8077	0.8077	26	0.7732	0.8850	0.8253	0.9622
0.0433	73.0	7738	0.1627	0.7662	0.8194	0.7919	72	0.6837	0.8933	0.7746	75	0.8645	0.9371	0.8993	143	0.5517	0.6957	0.6154	23	0.8462	0.8462	0.8462	26	0.7740	0.8791	0.8232	0.9625
0.0403	74.0	7844	0.1684	0.7625	0.8472	0.8026	72	0.6804	0.88	0.7674	75	0.8645	0.9371	0.8993	143	0.5333	0.6957	0.6038	23	0.8462	0.8462	0.8462	26	0.7706	0.8820	0.8226	0.9615
0.0415	75.0	7950	0.1694	0.7375	0.8194	0.7763	72	0.6634	0.8933	0.7614	75	0.8645	0.9371	0.8993	143	0.5333	0.6957	0.6038	23	0.8077	0.8077	0.8077	26	0.7577	0.8761	0.8126	0.9602
0.0405	76.0	8056	0.1741	0.7531	0.8472	0.7974	72	0.6505	0.8933	0.7528	75	0.8645	0.9371	0.8993	143	0.5333	0.6957	0.6038	23	0.7778	0.8077	0.7925	26	0.7551	0.8820	0.8136	0.9597
0.0399	77.0	8162	0.1697	0.7625	0.8472	0.8026	72	0.67	0.8933	0.7657	75	0.8645	0.9371	0.8993	143	0.5333	0.6957	0.6038	23	0.75	0.8077	0.7778	26	0.7608	0.8820	0.8169	0.9605
0.0386	78.0	8268	0.1652	0.7922	0.8472	0.8188	72	0.6813	0.8267	0.7470	75	0.8766	0.9441	0.9091	143	0.5333	0.6957	0.6038	23	0.8462	0.8462	0.8462	26	0.7831	0.8732	0.8257	0.9630
0.0373	79.0	8374	0.1729	0.7722	0.8472	0.8079	72	0.6635	0.92	0.7709	75	0.8710	0.9441	0.9060	143	0.5333	0.6957	0.6038	23	0.8462	0.8462	0.8462	26	0.7690	0.8938	0.8267	0.9612
0.0391	80.0	8480	0.1742	0.7625	0.8472	0.8026	72	0.6735	0.88	0.7630	75	0.8645	0.9371	0.8993	143	0.5484	0.7391	0.6296	23	0.75	0.8077	0.7778	26	0.7628	0.8820	0.8181	0.9605
0.0375	81.0	8586	0.1745	0.7595	0.8333	0.7947	72	0.6804	0.88	0.7674	75	0.8654	0.9441	0.9030	143	0.5667	0.7391	0.6415	23	0.75	0.8077	0.7778	26	0.7667	0.8820	0.8203	0.9612
0.0388	82.0	8692	0.1736	0.7595	0.8333	0.7947	72	0.6804	0.88	0.7674	75	0.8654	0.9441	0.9030	143	0.5667	0.7391	0.6415	23	0.75	0.8077	0.7778	26	0.7667	0.8820	0.8203	0.9612
0.0378	83.0	8798	0.1751	0.7625	0.8472	0.8026	72	0.6804	0.88	0.7674	75	0.8599	0.9441	0.9	143	0.5484	0.7391	0.6296	23	0.75	0.8077	0.7778	26	0.7634	0.8850	0.8197	0.9610
0.0381	84.0	8904	0.1737	0.7662	0.8194	0.7919	72	0.69	0.92	0.7886	75	0.8710	0.9441	0.9060	143	0.5667	0.7391	0.6415	23	0.8462	0.8462	0.8462	26	0.7784	0.8909	0.8308	0.9620
0.0363	85.0	9010	0.1721	0.7595	0.8333	0.7947	72	0.6809	0.8533	0.7574	75	0.8491	0.9441	0.8940	143	0.5333	0.6957	0.6038	23	0.8462	0.8462	0.8462	26	0.7655	0.8761	0.8171	0.9612
0.0403	86.0	9116	0.1772	0.7625	0.8472	0.8026	72	0.69	0.92	0.7886	75	0.8654	0.9441	0.9030	143	0.5667	0.7391	0.6415	23	0.7778	0.8077	0.7925	26	0.7710	0.8938	0.8279	0.9615
0.0365	87.0	9222	0.1748	0.7692	0.8333	0.8	72	0.6667	0.88	0.7586	75	0.8599	0.9441	0.9	143	0.5333	0.6957	0.6038	23	0.7778	0.8077	0.7925	26	0.7621	0.8791	0.8164	0.9602
0.035	88.0	9328	0.1746	0.7692	0.8333	0.8	72	0.6701	0.8667	0.7558	75	0.8654	0.9441	0.9030	143	0.5333	0.6957	0.6038	23	0.8148	0.8462	0.8302	26	0.7680	0.8791	0.8198	0.9610
0.0355	89.0	9434	0.1779	0.7722	0.8472	0.8079	72	0.6735	0.88	0.7630	75	0.8544	0.9441	0.8970	143	0.5667	0.7391	0.6415	23	0.7778	0.8077	0.7925	26	0.7653	0.8850	0.8208	0.9607
0.0371	90.0	9540	0.1754	0.7722	0.8472	0.8079	72	0.6809	0.8533	0.7574	75	0.8654	0.9441	0.9030	143	0.5667	0.7391	0.6415	23	0.8148	0.8462	0.8302	26	0.7746	0.8820	0.8248	0.9615
0.0362	91.0	9646	0.1716	0.7821	0.8472	0.8133	72	0.6957	0.8533	0.7665	75	0.8654	0.9441	0.9030	143	0.5333	0.6957	0.6038	23	0.8462	0.8462	0.8462	26	0.7801	0.8791	0.8266	0.9625
0.0368	92.0	9752	0.1745	0.7692	0.8333	0.8	72	0.6598	0.8533	0.7442	75	0.8654	0.9441	0.9030	143	0.5333	0.6957	0.6038	23	0.8148	0.8462	0.8302	26	0.7655	0.8761	0.8171	0.9612
0.036	93.0	9858	0.1764	0.7722	0.8472	0.8079	72	0.6735	0.88	0.7630	75	0.8654	0.9441	0.9030	143	0.5333	0.6957	0.6038	23	0.7778	0.8077	0.7925	26	0.7667	0.8820	0.8203	0.9610
0.0367	94.0	9964	0.1744	0.7722	0.8472	0.8079	72	0.6771	0.8667	0.7602	75	0.8654	0.9441	0.9030	143	0.5333	0.6957	0.6038	23	0.8148	0.8462	0.8302	26	0.7706	0.8820	0.8226	0.9612
0.0346	95.0	10070	0.1790	0.7722	0.8472	0.8079	72	0.6735	0.88	0.7630	75	0.8654	0.9441	0.9030	143	0.5667	0.7391	0.6415	23	0.7778	0.8077	0.7925	26	0.7692	0.8850	0.8230	0.9612
0.0365	96.0	10176	0.1783	0.7821	0.8472	0.8133	72	0.6768	0.8933	0.7701	75	0.8654	0.9441	0.9030	143	0.5667	0.7391	0.6415	23	0.7778	0.8077	0.7925	26	0.7718	0.8879	0.8258	0.9617
0.0341	97.0	10282	0.1792	0.7722	0.8472	0.8079	72	0.6768	0.8933	0.7701	75	0.8599	0.9441	0.9	143	0.5667	0.7391	0.6415	23	0.7778	0.8077	0.7925	26	0.7679	0.8879	0.8235	0.9610
0.0355	98.0	10388	0.1753	0.7821	0.8472	0.8133	72	0.6915	0.8667	0.7692	75	0.8654	0.9441	0.9030	143	0.5333	0.6957	0.6038	23	0.8462	0.8462	0.8462	26	0.7786	0.8820	0.8271	0.9620
0.0369	99.0	10494	0.1775	0.7821	0.8472	0.8133	72	0.6701	0.8667	0.7558	75	0.8654	0.9441	0.9030	143	0.5667	0.7391	0.6415	23	0.8148	0.8462	0.8302	26	0.7732	0.8850	0.8253	0.9617
0.0366	100.0	10600	0.1775	0.7821	0.8472	0.8133	72	0.6701	0.8667	0.7558	75	0.8654	0.9441	0.9030	143	0.5667	0.7391	0.6415	23	0.8148	0.8462	0.8302	26	0.7732	0.8850	0.8253	0.9617

Framework versions

Transformers 4.40.2
Pytorch 2.3.0+cu121
Datasets 2.19.1
Tokenizers 0.19.1

License: mit
Languages: id
Created: Jul 21, 2024
Updated: Jul 21, 2024