You can deploy this model and start earning money today!

apwic/
nerugm-seq_bn-rf64-2

Name: nerugm-seq_bn-rf64-2
Availability: InStock

generated_from_trainer

indolem/indobert-base-uncased

finetune

mit

Views

No views yet

nerugm-seq_bn-rf64-2

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: 0.1367
Location Precision: 0.7722
Location Recall: 0.8472
Location F1: 0.8079
Location Number: 72
Organization Precision: 0.7143
Organization Recall: 0.8667
Organization F1: 0.7831
Organization Number: 75
Person Precision: 0.8693
Person Recall: 0.9301
Person F1: 0.8986
Person Number: 143
Quantity Precision: 0.5667
Quantity Recall: 0.7391
Quantity F1: 0.6415
Quantity Number: 23
Time Precision: 0.7407
Time Recall: 0.7692
Time F1: 0.7547
Time Number: 26
Overall Precision: 0.7789
Overall Recall: 0.8732
Overall F1: 0.8234
Overall Accuracy: 0.9610

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
1.1455	1.0	106	0.6729	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
0.6602	2.0	212	0.5367	0.0	0.0	0.0	72	0.0	0.0	0.0	75	0.3077	0.0280	0.0513	143	0.0	0.0	0.0	23	0.0	0.0	0.0	26	0.2	0.0118	0.0223	0.8484
0.5376	3.0	318	0.4216	0.5455	0.0833	0.1446	72	0.1892	0.0933	0.125	75	0.4118	0.3916	0.4014	143	0.0	0.0	0.0	23	0.6	0.4615	0.5217	26	0.3894	0.2389	0.2962	0.8844
0.4392	4.0	424	0.3600	0.6275	0.4444	0.5203	72	0.2615	0.2267	0.2429	75	0.4627	0.6503	0.5407	143	0.0	0.0	0.0	23	0.625	0.5769	0.6	26	0.4448	0.4631	0.4538	0.9032
0.3794	5.0	530	0.3168	0.5946	0.6111	0.6027	72	0.3846	0.3333	0.3571	75	0.5773	0.7832	0.6647	143	0.2143	0.2609	0.2353	23	0.75	0.6923	0.7200	26	0.5325	0.6047	0.5663	0.9194
0.3334	6.0	636	0.2790	0.6024	0.6944	0.6452	72	0.5072	0.4667	0.4861	75	0.6354	0.8531	0.7284	143	0.2581	0.3478	0.2963	23	0.8	0.7692	0.7843	26	0.5875	0.6932	0.6360	0.9272
0.2951	7.0	742	0.2519	0.6136	0.75	0.6750	72	0.5068	0.4933	0.5	75	0.6561	0.8671	0.7470	143	0.2432	0.3913	0.3000	23	0.84	0.8077	0.8235	26	0.5947	0.7227	0.6525	0.9304
0.2601	8.0	848	0.2302	0.6292	0.7778	0.6957	72	0.5	0.5733	0.5342	75	0.7119	0.8811	0.7875	143	0.25	0.3913	0.3051	23	0.84	0.8077	0.8235	26	0.6174	0.7522	0.6782	0.9352
0.2367	9.0	954	0.2071	0.6437	0.7778	0.7044	72	0.5063	0.5333	0.5195	75	0.7314	0.8951	0.8050	143	0.2778	0.4348	0.3390	23	0.8077	0.8077	0.8077	26	0.6328	0.7522	0.6873	0.9385
0.2116	10.0	1060	0.1949	0.6222	0.7778	0.6914	72	0.5190	0.5467	0.5325	75	0.7588	0.9021	0.8243	143	0.2632	0.4348	0.3279	23	0.7857	0.8462	0.8148	26	0.6370	0.7611	0.6935	0.9392
0.1978	11.0	1166	0.1837	0.6552	0.7917	0.7170	72	0.5301	0.5867	0.5570	75	0.7771	0.9021	0.8350	143	0.3158	0.5217	0.3934	23	0.7857	0.8462	0.8148	26	0.6567	0.7788	0.7126	0.9437
0.1859	12.0	1272	0.1712	0.6951	0.7917	0.7403	72	0.5542	0.6133	0.5823	75	0.7791	0.8881	0.8301	143	0.4242	0.6087	0.5	23	0.8077	0.8077	0.8077	26	0.6848	0.7817	0.7300	0.9470
0.1767	13.0	1378	0.1675	0.6905	0.8056	0.7436	72	0.5568	0.6533	0.6012	75	0.7818	0.9021	0.8377	143	0.3784	0.6087	0.4667	23	0.7857	0.8462	0.8148	26	0.6766	0.8024	0.7341	0.9477
0.1708	14.0	1484	0.1639	0.6988	0.8056	0.7484	72	0.5714	0.6933	0.6265	75	0.7914	0.9021	0.8431	143	0.4	0.6087	0.4828	23	0.7586	0.8462	0.8	26	0.6858	0.8112	0.7432	0.9485
0.165	15.0	1590	0.1549	0.7073	0.8056	0.7532	72	0.6	0.68	0.6375	75	0.7937	0.8881	0.8383	143	0.4375	0.6087	0.5091	23	0.8519	0.8846	0.8679	26	0.7073	0.8053	0.7531	0.9512
0.1603	16.0	1696	0.1596	0.6977	0.8333	0.7595	72	0.5870	0.72	0.6467	75	0.7927	0.9091	0.8469	143	0.4571	0.6957	0.5517	23	0.7931	0.8846	0.8364	26	0.6970	0.8348	0.7597	0.9502
0.1532	17.0	1802	0.1563	0.6897	0.8333	0.7547	72	0.5889	0.7067	0.6424	75	0.7879	0.9091	0.8442	143	0.4857	0.7391	0.5862	23	0.7931	0.8846	0.8364	26	0.6970	0.8348	0.7597	0.9500
0.151	18.0	1908	0.1526	0.7059	0.8333	0.7643	72	0.5870	0.72	0.6467	75	0.7866	0.9021	0.8404	143	0.5	0.7391	0.5965	23	0.7931	0.8846	0.8364	26	0.7005	0.8348	0.7618	0.9515
0.1462	19.0	2014	0.1489	0.7059	0.8333	0.7643	72	0.5824	0.7067	0.6386	75	0.7866	0.9021	0.8404	143	0.5152	0.7391	0.6071	23	0.7931	0.8846	0.8364	26	0.7015	0.8319	0.7611	0.9515
0.1425	20.0	2120	0.1570	0.7093	0.8472	0.7722	72	0.6	0.8	0.6857	75	0.7927	0.9091	0.8469	143	0.5312	0.7391	0.6182	23	0.7	0.8077	0.75	26	0.7015	0.8525	0.7696	0.9505
0.141	21.0	2226	0.1488	0.7143	0.8333	0.7692	72	0.6170	0.7733	0.6864	75	0.7831	0.9091	0.8414	143	0.5312	0.7391	0.6182	23	0.7667	0.8846	0.8214	26	0.7094	0.8496	0.7732	0.9527
0.1374	22.0	2332	0.1460	0.7262	0.8472	0.7821	72	0.5957	0.7467	0.6627	75	0.7866	0.9021	0.8404	143	0.5312	0.7391	0.6182	23	0.7333	0.8462	0.7857	26	0.7054	0.8407	0.7672	0.9517
0.1353	23.0	2438	0.1480	0.7143	0.8333	0.7692	72	0.6186	0.8	0.6977	75	0.7818	0.9021	0.8377	143	0.5312	0.7391	0.6182	23	0.7	0.8077	0.75	26	0.7034	0.8466	0.7684	0.9515
0.132	24.0	2544	0.1443	0.7294	0.8611	0.7898	72	0.5876	0.76	0.6628	75	0.8113	0.9021	0.8543	143	0.5312	0.7391	0.6182	23	0.7241	0.8077	0.7636	26	0.7114	0.8437	0.7719	0.9542
0.1293	25.0	2650	0.1432	0.7143	0.8333	0.7692	72	0.6064	0.76	0.6746	75	0.8063	0.9021	0.8515	143	0.5312	0.7391	0.6182	23	0.6667	0.7692	0.7143	26	0.7075	0.8348	0.7659	0.9537
0.129	26.0	2756	0.1412	0.7262	0.8472	0.7821	72	0.6211	0.7867	0.6941	75	0.8113	0.9021	0.8543	143	0.5312	0.7391	0.6182	23	0.7241	0.8077	0.7636	26	0.7193	0.8466	0.7778	0.9550
0.1253	27.0	2862	0.1462	0.7294	0.8611	0.7898	72	0.6222	0.7467	0.6788	75	0.8187	0.9161	0.8647	143	0.5294	0.7826	0.6316	23	0.6452	0.7692	0.7018	26	0.7175	0.8466	0.7767	0.9540
0.1254	28.0	2968	0.1379	0.7561	0.8611	0.8052	72	0.6064	0.76	0.6746	75	0.8165	0.9021	0.8571	143	0.5862	0.7391	0.6538	23	0.8214	0.8846	0.8519	26	0.7366	0.8496	0.7890	0.9572
0.126	29.0	3074	0.1376	0.7294	0.8611	0.7898	72	0.6292	0.7467	0.6829	75	0.8258	0.8951	0.8591	143	0.5484	0.7391	0.6296	23	0.7857	0.8462	0.8148	26	0.7345	0.8407	0.7840	0.9562
0.1231	30.0	3180	0.1344	0.7561	0.8611	0.8052	72	0.6333	0.76	0.6909	75	0.8543	0.9021	0.8776	143	0.5862	0.7391	0.6538	23	0.8214	0.8846	0.8519	26	0.7579	0.8496	0.8011	0.9580
0.1197	31.0	3286	0.1347	0.775	0.8611	0.8158	72	0.6364	0.7467	0.6871	75	0.8421	0.8951	0.8678	143	0.5667	0.7391	0.6415	23	0.7857	0.8462	0.8148	26	0.7540	0.8407	0.7950	0.9582
0.1188	32.0	3392	0.1337	0.7654	0.8611	0.8105	72	0.6824	0.7733	0.725	75	0.8553	0.9091	0.8814	143	0.5862	0.7391	0.6538	23	0.8214	0.8846	0.8519	26	0.7733	0.8555	0.8123	0.9602
0.1164	33.0	3498	0.1337	0.7654	0.8611	0.8105	72	0.6782	0.7867	0.7284	75	0.8543	0.9021	0.8776	143	0.5862	0.7391	0.6538	23	0.7857	0.8462	0.8148	26	0.7686	0.8525	0.8084	0.9597
0.1154	34.0	3604	0.1421	0.7470	0.8611	0.8	72	0.6495	0.84	0.7326	75	0.8462	0.9231	0.8829	143	0.5152	0.7391	0.6071	23	0.6897	0.7692	0.7273	26	0.7387	0.8673	0.7978	0.9565
0.1155	35.0	3710	0.1382	0.7470	0.8611	0.8	72	0.6774	0.84	0.75	75	0.8675	0.9161	0.8912	143	0.5667	0.7391	0.6415	23	0.75	0.8077	0.7778	26	0.7636	0.8673	0.8122	0.9590
0.1128	36.0	3816	0.1311	0.775	0.8611	0.8158	72	0.6941	0.7867	0.7375	75	0.8442	0.9091	0.8754	143	0.5862	0.7391	0.6538	23	0.7857	0.8462	0.8148	26	0.7713	0.8555	0.8112	0.9602
0.1122	37.0	3922	0.1380	0.7470	0.8611	0.8	72	0.6495	0.84	0.7326	75	0.8442	0.9091	0.8754	143	0.5312	0.7391	0.6182	23	0.75	0.8077	0.7778	26	0.7437	0.8643	0.7995	0.9572
0.1084	38.0	4028	0.1373	0.7561	0.8611	0.8052	72	0.6813	0.8267	0.7470	75	0.8462	0.9231	0.8829	143	0.5312	0.7391	0.6182	23	0.7143	0.7692	0.7407	26	0.7532	0.8643	0.8049	0.9582
0.1072	39.0	4134	0.1351	0.775	0.8611	0.8158	72	0.6702	0.84	0.7456	75	0.8553	0.9091	0.8814	143	0.5667	0.7391	0.6415	23	0.7778	0.8077	0.7925	26	0.7650	0.8643	0.8116	0.9597
0.1083	40.0	4240	0.1313	0.7722	0.8472	0.8079	72	0.6941	0.7867	0.7375	75	0.8562	0.9161	0.8851	143	0.5862	0.7391	0.6538	23	0.7778	0.8077	0.7925	26	0.7748	0.8525	0.8118	0.9600
0.1076	41.0	4346	0.1317	0.775	0.8611	0.8158	72	0.6739	0.8267	0.7425	75	0.8506	0.9161	0.8822	143	0.5862	0.7391	0.6538	23	0.7778	0.8077	0.7925	26	0.7670	0.8643	0.8128	0.9597
0.1039	42.0	4452	0.1370	0.7654	0.8611	0.8105	72	0.6667	0.8267	0.7381	75	0.8408	0.9231	0.8800	143	0.5667	0.7391	0.6415	23	0.6897	0.7692	0.7273	26	0.7513	0.8643	0.8038	0.9582
0.1045	43.0	4558	0.1332	0.7625	0.8472	0.8026	72	0.7176	0.8133	0.7625	75	0.8684	0.9231	0.8949	143	0.5862	0.7391	0.6538	23	0.7143	0.7692	0.7407	26	0.7781	0.8584	0.8163	0.9597
0.1036	44.0	4664	0.1308	0.775	0.8611	0.8158	72	0.6742	0.8	0.7317	75	0.8562	0.9161	0.8851	143	0.5862	0.7391	0.6538	23	0.7407	0.7692	0.7547	26	0.7672	0.8555	0.8089	0.9595
0.102	45.0	4770	0.1384	0.7531	0.8472	0.7974	72	0.6989	0.8667	0.7738	75	0.8571	0.9231	0.8889	143	0.5667	0.7391	0.6415	23	0.7143	0.7692	0.7407	26	0.7642	0.8702	0.8138	0.9590
0.1028	46.0	4876	0.1303	0.775	0.8611	0.8158	72	0.6813	0.8267	0.7470	75	0.8684	0.9231	0.8949	143	0.6071	0.7391	0.6667	23	0.7778	0.8077	0.7925	26	0.7778	0.8673	0.8201	0.9605
0.103	47.0	4982	0.1413	0.7848	0.8611	0.8212	72	0.6875	0.88	0.7719	75	0.8581	0.9301	0.8926	143	0.5625	0.7826	0.6545	23	0.6667	0.7692	0.7143	26	0.7628	0.8820	0.8181	0.9580
0.1017	48.0	5088	0.1321	0.775	0.8611	0.8158	72	0.6667	0.8267	0.7381	75	0.8627	0.9231	0.8919	143	0.5862	0.7391	0.6538	23	0.75	0.8077	0.7778	26	0.7676	0.8673	0.8144	0.9597
0.0999	49.0	5194	0.1357	0.7625	0.8472	0.8026	72	0.6842	0.8667	0.7647	75	0.8581	0.9301	0.8926	143	0.5667	0.7391	0.6415	23	0.75	0.8077	0.7778	26	0.7655	0.8761	0.8171	0.9597
0.098	50.0	5300	0.1328	0.7625	0.8472	0.8026	72	0.7093	0.8133	0.7578	75	0.8636	0.9301	0.8956	143	0.5667	0.7391	0.6415	23	0.75	0.8077	0.7778	26	0.7751	0.8643	0.8173	0.9605
0.0973	51.0	5406	0.1337	0.7625	0.8472	0.8026	72	0.6989	0.8667	0.7738	75	0.8581	0.9301	0.8926	143	0.5667	0.7391	0.6415	23	0.7778	0.8077	0.7925	26	0.7714	0.8761	0.8204	0.9605
0.0956	52.0	5512	0.1318	0.775	0.8611	0.8158	72	0.6957	0.8533	0.7665	75	0.8516	0.9231	0.8859	143	0.5667	0.7391	0.6415	23	0.8462	0.8462	0.8462	26	0.7755	0.8761	0.8227	0.9612
0.0948	53.0	5618	0.1330	0.775	0.8611	0.8158	72	0.6957	0.8533	0.7665	75	0.8636	0.9301	0.8956	143	0.5667	0.7391	0.6415	23	0.7778	0.8077	0.7925	26	0.7755	0.8761	0.8227	0.9610
0.0962	54.0	5724	0.1338	0.7848	0.8611	0.8212	72	0.6809	0.8533	0.7574	75	0.8636	0.9301	0.8956	143	0.5667	0.7391	0.6415	23	0.7778	0.8077	0.7925	26	0.7734	0.8761	0.8216	0.9607
0.0965	55.0	5830	0.1419	0.7722	0.8472	0.8079	72	0.6869	0.9067	0.7816	75	0.8581	0.9301	0.8926	143	0.5484	0.7391	0.6296	23	0.6897	0.7692	0.7273	26	0.7608	0.8820	0.8169	0.9575
0.0956	56.0	5936	0.1324	0.7625	0.8472	0.8026	72	0.7159	0.84	0.7730	75	0.8636	0.9301	0.8956	143	0.5667	0.7391	0.6415	23	0.7778	0.8077	0.7925	26	0.7784	0.8702	0.8217	0.9612
0.0952	57.0	6042	0.1322	0.775	0.8611	0.8158	72	0.7079	0.84	0.7683	75	0.8571	0.9231	0.8889	143	0.5667	0.7391	0.6415	23	0.7778	0.8077	0.7925	26	0.7763	0.8702	0.8206	0.9612
0.0925	58.0	6148	0.1352	0.7625	0.8472	0.8026	72	0.6957	0.8533	0.7665	75	0.8590	0.9371	0.8963	143	0.5484	0.7391	0.6296	23	0.7407	0.7692	0.7547	26	0.7668	0.8732	0.8166	0.9602
0.0915	59.0	6254	0.1325	0.775	0.8611	0.8158	72	0.6957	0.8533	0.7665	75	0.8693	0.9301	0.8986	143	0.5667	0.7391	0.6415	23	0.8077	0.8077	0.8077	26	0.7795	0.8761	0.825	0.9615
0.0917	60.0	6360	0.1377	0.7625	0.8472	0.8026	72	0.6882	0.8533	0.7619	75	0.8590	0.9371	0.8963	143	0.5484	0.7391	0.6296	23	0.6897	0.7692	0.7273	26	0.7609	0.8732	0.8132	0.9590
0.0917	61.0	6466	0.1363	0.7722	0.8472	0.8079	72	0.7033	0.8533	0.7711	75	0.8636	0.9301	0.8956	143	0.5484	0.7391	0.6296	23	0.7143	0.7692	0.7407	26	0.7702	0.8702	0.8172	0.9602
0.0912	62.0	6572	0.1338	0.7722	0.8472	0.8079	72	0.7191	0.8533	0.7805	75	0.8645	0.9371	0.8993	143	0.5484	0.7391	0.6296	23	0.8077	0.8077	0.8077	26	0.7816	0.8761	0.8261	0.9617
0.0913	63.0	6678	0.1331	0.775	0.8611	0.8158	72	0.7033	0.8533	0.7711	75	0.8693	0.9301	0.8986	143	0.5484	0.7391	0.6296	23	0.7692	0.7692	0.7692	26	0.7769	0.8732	0.8222	0.9612
0.0917	64.0	6784	0.1428	0.7439	0.8472	0.7922	72	0.6939	0.9067	0.7861	75	0.8590	0.9371	0.8963	143	0.5484	0.7391	0.6296	23	0.6897	0.7692	0.7273	26	0.7576	0.8850	0.8163	0.9577
0.0891	65.0	6890	0.1339	0.7722	0.8472	0.8079	72	0.6957	0.8533	0.7665	75	0.8684	0.9231	0.8949	143	0.5484	0.7391	0.6296	23	0.7407	0.7692	0.7547	26	0.7717	0.8673	0.8167	0.9602
0.0904	66.0	6996	0.1346	0.775	0.8611	0.8158	72	0.6957	0.8533	0.7665	75	0.8581	0.9301	0.8926	143	0.5484	0.7391	0.6296	23	0.7692	0.7692	0.7692	26	0.7708	0.8732	0.8188	0.9602
0.0883	67.0	7102	0.1305	0.7342	0.8056	0.7682	72	0.7159	0.84	0.7730	75	0.8627	0.9231	0.8919	143	0.5862	0.7391	0.6538	23	0.8462	0.8462	0.8462	26	0.7787	0.8614	0.8179	0.9617
0.0872	68.0	7208	0.1381	0.7595	0.8333	0.7947	72	0.6957	0.8533	0.7665	75	0.8636	0.9301	0.8956	143	0.5161	0.6957	0.5926	23	0.7143	0.7692	0.7407	26	0.7630	0.8643	0.8105	0.9592
0.0875	69.0	7314	0.1354	0.7722	0.8472	0.8079	72	0.7033	0.8533	0.7711	75	0.8645	0.9371	0.8993	143	0.5484	0.7391	0.6296	23	0.7407	0.7692	0.7547	26	0.7728	0.8732	0.8199	0.9607
0.0889	70.0	7420	0.1321	0.7722	0.8472	0.8079	72	0.6957	0.8533	0.7665	75	0.8562	0.9161	0.8851	143	0.5667	0.7391	0.6415	23	0.8462	0.8462	0.8462	26	0.7763	0.8702	0.8206	0.9612
0.0876	71.0	7526	0.1333	0.7722	0.8472	0.8079	72	0.7033	0.8533	0.7711	75	0.8571	0.9231	0.8889	143	0.5667	0.7391	0.6415	23	0.7692	0.7692	0.7692	26	0.7737	0.8673	0.8178	0.9610
0.0869	72.0	7632	0.1360	0.7722	0.8472	0.8079	72	0.7033	0.8533	0.7711	75	0.8636	0.9301	0.8956	143	0.5484	0.7391	0.6296	23	0.7143	0.7692	0.7407	26	0.7702	0.8702	0.8172	0.9602
0.0878	73.0	7738	0.1325	0.7595	0.8333	0.7947	72	0.7111	0.8533	0.7758	75	0.8571	0.9231	0.8889	143	0.5667	0.7391	0.6415	23	0.7778	0.8077	0.7925	26	0.7737	0.8673	0.8178	0.9615
0.0841	74.0	7844	0.1388	0.7595	0.8333	0.7947	72	0.6957	0.8533	0.7665	75	0.8627	0.9231	0.8919	143	0.5484	0.7391	0.6296	23	0.7143	0.7692	0.7407	26	0.7650	0.8643	0.8116	0.9595
0.0847	75.0	7950	0.1379	0.7722	0.8472	0.8079	72	0.7174	0.88	0.7904	75	0.8684	0.9231	0.8949	143	0.5484	0.7391	0.6296	23	0.7407	0.7692	0.7547	26	0.7769	0.8732	0.8222	0.9602
0.0854	76.0	8056	0.1347	0.7722	0.8472	0.8079	72	0.6957	0.8533	0.7665	75	0.8684	0.9231	0.8949	143	0.5667	0.7391	0.6415	23	0.7407	0.7692	0.7547	26	0.7737	0.8673	0.8178	0.9605
0.0844	77.0	8162	0.1360	0.7722	0.8472	0.8079	72	0.7065	0.8667	0.7784	75	0.8684	0.9231	0.8949	143	0.5667	0.7391	0.6415	23	0.7407	0.7692	0.7547	26	0.7763	0.8702	0.8206	0.9605
0.0845	78.0	8268	0.1346	0.7722	0.8472	0.8079	72	0.7033	0.8533	0.7711	75	0.8693	0.9301	0.8986	143	0.5667	0.7391	0.6415	23	0.7407	0.7692	0.7547	26	0.7763	0.8702	0.8206	0.9607
0.0827	79.0	8374	0.1348	0.7722	0.8472	0.8079	72	0.7033	0.8533	0.7711	75	0.8693	0.9301	0.8986	143	0.5667	0.7391	0.6415	23	0.7407	0.7692	0.7547	26	0.7763	0.8702	0.8206	0.9610
0.0853	80.0	8480	0.1408	0.7595	0.8333	0.7947	72	0.7253	0.88	0.7952	75	0.8645	0.9371	0.8993	143	0.5333	0.6957	0.6038	23	0.7143	0.7692	0.7407	26	0.7728	0.8732	0.8199	0.9597
0.0824	81.0	8586	0.1338	0.7595	0.8333	0.7947	72	0.7111	0.8533	0.7758	75	0.8693	0.9301	0.8986	143	0.5667	0.7391	0.6415	23	0.7407	0.7692	0.7547	26	0.7757	0.8673	0.8189	0.9610
0.0821	82.0	8692	0.1370	0.7722	0.8472	0.8079	72	0.7143	0.8667	0.7831	75	0.8645	0.9371	0.8993	143	0.5667	0.7391	0.6415	23	0.7407	0.7692	0.7547	26	0.7775	0.8761	0.8239	0.9612
0.084	83.0	8798	0.1340	0.7595	0.8333	0.7947	72	0.7033	0.8533	0.7711	75	0.8693	0.9301	0.8986	143	0.5667	0.7391	0.6415	23	0.7407	0.7692	0.7547	26	0.7737	0.8673	0.8178	0.9610
0.0844	84.0	8904	0.1343	0.7595	0.8333	0.7947	72	0.7033	0.8533	0.7711	75	0.875	0.9301	0.9017	143	0.5667	0.7391	0.6415	23	0.8077	0.8077	0.8077	26	0.7804	0.8702	0.8229	0.9617
0.083	85.0	9010	0.1368	0.7722	0.8472	0.8079	72	0.7033	0.8533	0.7711	75	0.8645	0.9371	0.8993	143	0.5333	0.6957	0.6038	23	0.7407	0.7692	0.7547	26	0.7723	0.8702	0.8183	0.9607
0.0833	86.0	9116	0.1358	0.7722	0.8472	0.8079	72	0.7033	0.8533	0.7711	75	0.8693	0.9301	0.8986	143	0.5667	0.7391	0.6415	23	0.7407	0.7692	0.7547	26	0.7763	0.8702	0.8206	0.9612
0.0822	87.0	9222	0.1356	0.7722	0.8472	0.8079	72	0.7111	0.8533	0.7758	75	0.8693	0.9301	0.8986	143	0.5667	0.7391	0.6415	23	0.7407	0.7692	0.7547	26	0.7784	0.8702	0.8217	0.9615
0.0816	88.0	9328	0.1359	0.7722	0.8472	0.8079	72	0.7033	0.8533	0.7711	75	0.8693	0.9301	0.8986	143	0.5667	0.7391	0.6415	23	0.8077	0.8077	0.8077	26	0.7810	0.8732	0.8245	0.9617
0.0814	89.0	9434	0.1357	0.7722	0.8472	0.8079	72	0.7033	0.8533	0.7711	75	0.8693	0.9301	0.8986	143	0.5667	0.7391	0.6415	23	0.7778	0.8077	0.7925	26	0.7789	0.8732	0.8234	0.9615
0.0815	90.0	9540	0.1369	0.7722	0.8472	0.8079	72	0.7033	0.8533	0.7711	75	0.8693	0.9301	0.8986	143	0.5667	0.7391	0.6415	23	0.7407	0.7692	0.7547	26	0.7763	0.8702	0.8206	0.9612
0.0829	91.0	9646	0.1358	0.7722	0.8472	0.8079	72	0.7033	0.8533	0.7711	75	0.8693	0.9301	0.8986	143	0.5333	0.6957	0.6038	23	0.7407	0.7692	0.7547	26	0.7737	0.8673	0.8178	0.9607
0.0835	92.0	9752	0.1375	0.7722	0.8472	0.8079	72	0.7143	0.8667	0.7831	75	0.8693	0.9301	0.8986	143	0.5333	0.6957	0.6038	23	0.7407	0.7692	0.7547	26	0.7763	0.8702	0.8206	0.9607
0.0804	93.0	9858	0.1377	0.7722	0.8472	0.8079	72	0.7143	0.8667	0.7831	75	0.8693	0.9301	0.8986	143	0.5333	0.6957	0.6038	23	0.7407	0.7692	0.7547	26	0.7763	0.8702	0.8206	0.9607
0.0802	94.0	9964	0.1372	0.7722	0.8472	0.8079	72	0.7143	0.8667	0.7831	75	0.8693	0.9301	0.8986	143	0.5333	0.6957	0.6038	23	0.7407	0.7692	0.7547	26	0.7763	0.8702	0.8206	0.9607
0.0799	95.0	10070	0.1380	0.7722	0.8472	0.8079	72	0.7143	0.8667	0.7831	75	0.8693	0.9301	0.8986	143	0.5333	0.6957	0.6038	23	0.7407	0.7692	0.7547	26	0.7763	0.8702	0.8206	0.9607
0.081	96.0	10176	0.1375	0.7722	0.8472	0.8079	72	0.7143	0.8667	0.7831	75	0.8693	0.9301	0.8986	143	0.5333	0.6957	0.6038	23	0.7407	0.7692	0.7547	26	0.7763	0.8702	0.8206	0.9607
0.0807	97.0	10282	0.1366	0.7722	0.8472	0.8079	72	0.7143	0.8667	0.7831	75	0.8693	0.9301	0.8986	143	0.5667	0.7391	0.6415	23	0.7407	0.7692	0.7547	26	0.7789	0.8732	0.8234	0.9612
0.0823	98.0	10388	0.1364	0.7722	0.8472	0.8079	72	0.7143	0.8667	0.7831	75	0.8693	0.9301	0.8986	143	0.5667	0.7391	0.6415	23	0.7407	0.7692	0.7547	26	0.7789	0.8732	0.8234	0.9612
0.082	99.0	10494	0.1365	0.7722	0.8472	0.8079	72	0.7143	0.8667	0.7831	75	0.8693	0.9301	0.8986	143	0.5667	0.7391	0.6415	23	0.7407	0.7692	0.7547	26	0.7789	0.8732	0.8234	0.9610
0.0833	100.0	10600	0.1367	0.7722	0.8472	0.8079	72	0.7143	0.8667	0.7831	75	0.8693	0.9301	0.8986	143	0.5667	0.7391	0.6415	23	0.7407	0.7692	0.7547	26	0.7789	0.8732	0.8234	0.9610

Framework versions

Transformers 4.40.2
Pytorch 2.3.0+cu121
Datasets 2.19.1
Tokenizers 0.19.1

apwic/nerugm-seq_bn-rf64-2

nerugm-seq_bn-rf64-2

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

apwic/
nerugm-seq_bn-rf64-2