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apwic/
nerugm-unipelt-2

tensorboard

generated_from_trainer

indolem/indobert-base-uncased

finetune

mit

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nerugm-unipelt-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: 0.2436
Location Precision: 0.7973
Location Recall: 0.8194
Location F1: 0.8082
Location Number: 72
Organization Precision: 0.7045
Organization Recall: 0.8267
Organization F1: 0.7607
Organization Number: 75
Person Precision: 0.8590
Person Recall: 0.9371
Person F1: 0.8963
Person Number: 143
Quantity Precision: 0.6552
Quantity Recall: 0.8261
Quantity F1: 0.7308
Quantity Number: 23
Time Precision: 0.7857
Time Recall: 0.8462
Time F1: 0.8148
Time Number: 26
Overall Precision: 0.7893
Overall Recall: 0.8732
Overall F1: 0.8291
Overall Accuracy: 0.9595

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
0.9413	1.0	106	0.5834	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	0.8451
0.501	2.0	212	0.3319	0.4143	0.4028	0.4085	72	0.0930	0.0533	0.0678	75	0.5421	0.8112	0.6499	143	0.0	0.0	0.0	23	0.6667	0.7692	0.7143	26	0.4507	0.4985	0.4734	0.9044
0.2907	3.0	318	0.2038	0.6064	0.7917	0.6867	72	0.4655	0.72	0.5654	75	0.7679	0.9021	0.8296	143	0.2973	0.4783	0.3667	23	0.7692	0.7692	0.7692	26	0.6145	0.7994	0.6949	0.9352
0.1997	4.0	424	0.1949	0.6629	0.8194	0.7329	72	0.4790	0.76	0.5876	75	0.7733	0.9301	0.8444	143	0.4865	0.7826	0.6000	23	0.5946	0.8462	0.6984	26	0.6366	0.8525	0.7289	0.9340
0.1638	5.0	530	0.1405	0.7125	0.7917	0.75	72	0.6105	0.7733	0.6824	75	0.8447	0.9510	0.8947	143	0.6333	0.8261	0.7170	23	0.8462	0.8462	0.8462	26	0.7449	0.8614	0.7989	0.9542
0.1475	6.0	636	0.1376	0.6813	0.8611	0.7607	72	0.6038	0.8533	0.7072	75	0.8654	0.9441	0.9030	143	0.5862	0.7391	0.6538	23	0.7857	0.8462	0.8148	26	0.7317	0.8850	0.8011	0.9542
0.1352	7.0	742	0.1379	0.7342	0.8056	0.7682	72	0.6364	0.84	0.7241	75	0.8535	0.9371	0.8933	143	0.4595	0.7391	0.5667	23	0.8148	0.8462	0.8302	26	0.7368	0.8673	0.7967	0.9550
0.1229	8.0	848	0.1327	0.7284	0.8194	0.7712	72	0.7143	0.8	0.7547	75	0.8385	0.9441	0.8882	143	0.6296	0.7391	0.68	23	0.6774	0.8077	0.7368	26	0.7604	0.8614	0.8077	0.9577
0.119	9.0	954	0.1360	0.75	0.8333	0.7895	72	0.6809	0.8533	0.7574	75	0.8535	0.9371	0.8933	143	0.6429	0.7826	0.7059	23	0.6897	0.7692	0.7273	26	0.7629	0.8732	0.8143	0.9572
0.1125	10.0	1060	0.1273	0.7662	0.8194	0.7919	72	0.6591	0.7733	0.7117	75	0.875	0.9301	0.9017	143	0.5667	0.7391	0.6415	23	0.7143	0.7692	0.7407	26	0.7653	0.8466	0.8039	0.9567
0.1058	11.0	1166	0.1296	0.7439	0.8472	0.7922	72	0.6702	0.84	0.7456	75	0.8506	0.9161	0.8822	143	0.6	0.7826	0.6792	23	0.7857	0.8462	0.8148	26	0.7603	0.8702	0.8116	0.9582
0.0983	12.0	1272	0.1320	0.7564	0.8194	0.7867	72	0.7	0.84	0.7636	75	0.8645	0.9371	0.8993	143	0.6207	0.7826	0.6923	23	0.8462	0.8462	0.8462	26	0.7831	0.8732	0.8257	0.9597
0.0927	13.0	1378	0.1346	0.7595	0.8333	0.7947	72	0.6882	0.8533	0.7619	75	0.8428	0.9371	0.8874	143	0.72	0.7826	0.7500	23	0.8462	0.8462	0.8462	26	0.7801	0.8791	0.8266	0.9602
0.0903	14.0	1484	0.1368	0.7662	0.8194	0.7919	72	0.7326	0.84	0.7826	75	0.8438	0.9441	0.8911	143	0.6	0.7826	0.6792	23	0.8077	0.8077	0.8077	26	0.7810	0.8732	0.8245	0.9600
0.0838	15.0	1590	0.1399	0.8026	0.8472	0.8243	72	0.6915	0.8667	0.7692	75	0.8397	0.9161	0.8763	143	0.6	0.7826	0.6792	23	0.8077	0.8077	0.8077	26	0.7749	0.8732	0.8211	0.9577
0.0821	16.0	1696	0.1585	0.7439	0.8472	0.7922	72	0.6442	0.8933	0.7486	75	0.8481	0.9371	0.8904	143	0.5484	0.7391	0.6296	23	0.75	0.8077	0.7778	26	0.7444	0.8850	0.8086	0.9530
0.0793	17.0	1802	0.1424	0.7468	0.8194	0.7815	72	0.7126	0.8267	0.7654	75	0.8408	0.9231	0.8800	143	0.5152	0.7391	0.6071	23	0.8462	0.8462	0.8462	26	0.7644	0.8614	0.8100	0.9570
0.0762	18.0	1908	0.1426	0.8116	0.7778	0.7943	72	0.7262	0.8133	0.7673	75	0.8618	0.9161	0.8881	143	0.5625	0.7826	0.6545	23	0.75	0.8077	0.7778	26	0.7863	0.8466	0.8153	0.9577
0.0727	19.0	2014	0.1413	0.7973	0.8194	0.8082	72	0.7174	0.88	0.7904	75	0.8627	0.9231	0.8919	143	0.6	0.7826	0.6792	23	0.7857	0.8462	0.8148	26	0.7878	0.8761	0.8296	0.9602
0.0696	20.0	2120	0.1565	0.8082	0.8194	0.8138	72	0.6809	0.8533	0.7574	75	0.8491	0.9441	0.8940	143	0.5806	0.7826	0.6667	23	0.7692	0.7692	0.7692	26	0.7728	0.8732	0.8199	0.9565
0.0663	21.0	2226	0.1552	0.75	0.8333	0.7895	72	0.7126	0.8267	0.7654	75	0.8438	0.9441	0.8911	143	0.5	0.6957	0.5818	23	0.8519	0.8846	0.8679	26	0.7668	0.8732	0.8166	0.9570
0.0648	22.0	2332	0.1632	0.7595	0.8333	0.7947	72	0.6321	0.8933	0.7403	75	0.8627	0.9231	0.8919	143	0.5143	0.7826	0.6207	23	0.7	0.8077	0.75	26	0.7395	0.8791	0.8032	0.9517
0.0636	23.0	2438	0.1434	0.7808	0.7917	0.7862	72	0.6771	0.8667	0.7602	75	0.8733	0.9161	0.8942	143	0.6207	0.7826	0.6923	23	0.8846	0.8846	0.8846	26	0.7861	0.8673	0.8247	0.9587
0.0591	24.0	2544	0.1626	0.7703	0.7917	0.7808	72	0.7209	0.8267	0.7702	75	0.8581	0.9301	0.8926	143	0.4848	0.6957	0.5714	23	0.7143	0.7692	0.7407	26	0.7660	0.8496	0.8056	0.9547
0.058	25.0	2650	0.1489	0.7945	0.8056	0.8	72	0.6837	0.8933	0.7746	75	0.8693	0.9301	0.8986	143	0.5667	0.7391	0.6415	23	0.7586	0.8462	0.8	26	0.7755	0.8761	0.8227	0.9597
0.055	26.0	2756	0.1739	0.8194	0.8194	0.8194	72	0.66	0.88	0.7543	75	0.8636	0.9301	0.8956	143	0.5152	0.7391	0.6071	23	0.7143	0.7692	0.7407	26	0.7623	0.8702	0.8127	0.9545
0.0548	27.0	2862	0.1683	0.76	0.7917	0.7755	72	0.6957	0.8533	0.7665	75	0.8365	0.9301	0.8808	143	0.5484	0.7391	0.6296	23	0.7407	0.7692	0.7547	26	0.7578	0.8584	0.8050	0.9550
0.0508	28.0	2968	0.1731	0.7895	0.8333	0.8108	72	0.6842	0.8667	0.7647	75	0.8481	0.9371	0.8904	143	0.72	0.7826	0.7500	23	0.625	0.7692	0.6897	26	0.7694	0.8761	0.8193	0.9547
0.0508	29.0	3074	0.1688	0.7662	0.8194	0.7919	72	0.7222	0.8667	0.7879	75	0.8535	0.9371	0.8933	143	0.5152	0.7391	0.6071	23	0.7143	0.7692	0.7407	26	0.7662	0.8702	0.8149	0.9560
0.0504	30.0	3180	0.1635	0.7639	0.7639	0.7639	72	0.7	0.84	0.7636	75	0.875	0.9301	0.9017	143	0.7308	0.8261	0.7755	23	0.7692	0.7692	0.7692	26	0.7923	0.8555	0.8227	0.9585
0.0453	31.0	3286	0.1818	0.7763	0.8194	0.7973	72	0.6915	0.8667	0.7692	75	0.8471	0.9301	0.8867	143	0.4848	0.6957	0.5714	23	0.7241	0.8077	0.7636	26	0.7558	0.8673	0.8077	0.9535
0.0452	32.0	3392	0.1650	0.7973	0.8194	0.8082	72	0.6889	0.8267	0.7515	75	0.88	0.9231	0.9010	143	0.4848	0.6957	0.5714	23	0.7586	0.8462	0.8	26	0.7739	0.8584	0.8140	0.9565
0.044	33.0	3498	0.1832	0.8	0.8333	0.8163	72	0.6373	0.8667	0.7345	75	0.8618	0.9161	0.8881	143	0.5	0.6957	0.5818	23	0.75	0.8077	0.7778	26	0.7532	0.8643	0.8049	0.9522
0.0407	34.0	3604	0.1828	0.7662	0.8194	0.7919	72	0.6667	0.88	0.7586	75	0.8599	0.9441	0.9	143	0.5484	0.7391	0.6296	23	0.7143	0.7692	0.7407	26	0.7577	0.8761	0.8126	0.9550
0.0401	35.0	3710	0.1778	0.8082	0.8194	0.8138	72	0.6774	0.84	0.75	75	0.8859	0.9231	0.9041	143	0.5484	0.7391	0.6296	23	0.8	0.7692	0.7843	26	0.7844	0.8584	0.8197	0.9552
0.0398	36.0	3816	0.1749	0.8108	0.8333	0.8219	72	0.6813	0.8267	0.7470	75	0.8618	0.9161	0.8881	143	0.5625	0.7826	0.6545	23	0.7407	0.7692	0.7547	26	0.7739	0.8584	0.8140	0.9567
0.0402	37.0	3922	0.1733	0.7536	0.7222	0.7376	72	0.7011	0.8133	0.7531	75	0.8792	0.9161	0.8973	143	0.5862	0.7391	0.6538	23	0.8462	0.8462	0.8462	26	0.7861	0.8348	0.8097	0.9572
0.0365	38.0	4028	0.1821	0.7576	0.6944	0.7246	72	0.7241	0.84	0.7778	75	0.8571	0.9231	0.8889	143	0.6	0.7826	0.6792	23	0.7407	0.7692	0.7547	26	0.7775	0.8348	0.8051	0.9565
0.0366	39.0	4134	0.1903	0.7342	0.8056	0.7682	72	0.7126	0.8267	0.7654	75	0.8590	0.9371	0.8963	143	0.6552	0.8261	0.7308	23	0.7143	0.7692	0.7407	26	0.7731	0.8643	0.8162	0.9557
0.0364	40.0	4240	0.2068	0.7160	0.8056	0.7582	72	0.6562	0.84	0.7368	75	0.8261	0.9301	0.8750	143	0.5758	0.8261	0.6786	23	0.6667	0.8462	0.7458	26	0.7302	0.8702	0.7941	0.9490
0.033	41.0	4346	0.1836	0.7838	0.8056	0.7945	72	0.7159	0.84	0.7730	75	0.8636	0.9301	0.8956	143	0.6429	0.7826	0.7059	23	0.8148	0.8462	0.8302	26	0.7925	0.8673	0.8282	0.9582
0.0317	42.0	4452	0.1928	0.8	0.8333	0.8163	72	0.7176	0.8133	0.7625	75	0.8627	0.9231	0.8919	143	0.5161	0.6957	0.5926	23	0.7	0.8077	0.75	26	0.7754	0.8555	0.8135	0.9560
0.0309	43.0	4558	0.1895	0.7722	0.8472	0.8079	72	0.7333	0.88	0.8	75	0.8693	0.9301	0.8986	143	0.5312	0.7391	0.6182	23	0.7857	0.8462	0.8148	26	0.7827	0.8820	0.8294	0.9572
0.0309	44.0	4664	0.1849	0.7867	0.8194	0.8027	72	0.7065	0.8667	0.7784	75	0.8824	0.9441	0.9122	143	0.5806	0.7826	0.6667	23	0.7333	0.8462	0.7857	26	0.7848	0.8820	0.8306	0.9587
0.0292	45.0	4770	0.1803	0.8056	0.8056	0.8056	72	0.6818	0.8	0.7362	75	0.8710	0.9441	0.9060	143	0.5806	0.7826	0.6667	23	0.75	0.8077	0.7778	26	0.7807	0.8614	0.8191	0.9590
0.0284	46.0	4876	0.1999	0.7973	0.8194	0.8082	72	0.7143	0.8667	0.7831	75	0.8654	0.9441	0.9030	143	0.4857	0.7391	0.5862	23	0.625	0.7692	0.6897	26	0.7629	0.8732	0.8143	0.9547
0.0283	47.0	4982	0.1977	0.8056	0.8056	0.8056	72	0.7209	0.8267	0.7702	75	0.8774	0.9510	0.9128	143	0.5758	0.8261	0.6786	23	0.6897	0.7692	0.7273	26	0.7867	0.8702	0.8263	0.9587
0.0262	48.0	5088	0.1941	0.7703	0.7917	0.7808	72	0.7412	0.84	0.7875	75	0.8874	0.9371	0.9116	143	0.6333	0.8261	0.7170	23	0.7692	0.7692	0.7692	26	0.8005	0.8643	0.8312	0.9597
0.0273	49.0	5194	0.2066	0.8108	0.8333	0.8219	72	0.6966	0.8267	0.7561	75	0.8645	0.9371	0.8993	143	0.5625	0.7826	0.6545	23	0.7143	0.7692	0.7407	26	0.7778	0.8673	0.8201	0.9570
0.0259	50.0	5300	0.2049	0.8108	0.8333	0.8219	72	0.7159	0.84	0.7730	75	0.8581	0.9301	0.8926	143	0.5625	0.7826	0.6545	23	0.7241	0.8077	0.7636	26	0.7804	0.8702	0.8229	0.9575
0.0244	51.0	5406	0.2135	0.7703	0.7917	0.7808	72	0.6989	0.8667	0.7738	75	0.8581	0.9301	0.8926	143	0.5625	0.7826	0.6545	23	0.7143	0.7692	0.7407	26	0.7670	0.8643	0.8128	0.9555
0.0251	52.0	5512	0.2014	0.7945	0.8056	0.8	72	0.7111	0.8533	0.7758	75	0.8808	0.9301	0.9048	143	0.6552	0.8261	0.7308	23	0.6774	0.8077	0.7368	26	0.7888	0.8702	0.8275	0.9580
0.0236	53.0	5618	0.2271	0.7838	0.8056	0.7945	72	0.68	0.9067	0.7771	75	0.8471	0.9301	0.8867	143	0.6333	0.8261	0.7170	23	0.6562	0.8077	0.7241	26	0.7608	0.8820	0.8169	0.9537
0.0238	54.0	5724	0.2099	0.7945	0.8056	0.8	72	0.7191	0.8533	0.7805	75	0.8645	0.9371	0.8993	143	0.6552	0.8261	0.7308	23	0.6897	0.7692	0.7273	26	0.7867	0.8702	0.8263	0.9585
0.0211	55.0	5830	0.2168	0.7895	0.8333	0.8108	72	0.6907	0.8933	0.7791	75	0.8535	0.9371	0.8933	143	0.5625	0.7826	0.6545	23	0.7333	0.8462	0.7857	26	0.7679	0.8879	0.8235	0.9550
0.0204	56.0	5936	0.2145	0.8056	0.8056	0.8056	72	0.7097	0.88	0.7857	75	0.8506	0.9161	0.8822	143	0.6333	0.8261	0.7170	23	0.6452	0.7692	0.7018	26	0.7737	0.8673	0.8178	0.9565
0.0212	57.0	6042	0.2186	0.8028	0.7917	0.7972	72	0.65	0.8667	0.7429	75	0.8718	0.9510	0.9097	143	0.6552	0.8261	0.7308	23	0.6875	0.8462	0.7586	26	0.7706	0.8820	0.8226	0.9560
0.0203	58.0	6148	0.2017	0.7945	0.8056	0.8	72	0.7073	0.7733	0.7389	75	0.875	0.9301	0.9017	143	0.5625	0.7826	0.6545	23	0.7586	0.8462	0.8	26	0.7853	0.8525	0.8175	0.9580
0.0186	59.0	6254	0.2211	0.8	0.8333	0.8163	72	0.6923	0.84	0.7590	75	0.8710	0.9441	0.9060	143	0.5455	0.7826	0.6429	23	0.6129	0.7308	0.6667	26	0.7662	0.8702	0.8149	0.9555
0.0203	60.0	6360	0.2336	0.8158	0.8611	0.8378	72	0.6875	0.88	0.7719	75	0.8375	0.9371	0.8845	143	0.5625	0.7826	0.6545	23	0.625	0.7692	0.6897	26	0.7576	0.8850	0.8163	0.9547
0.0192	61.0	6466	0.2162	0.8169	0.8056	0.8112	72	0.7262	0.8133	0.7673	75	0.8428	0.9371	0.8874	143	0.6552	0.8261	0.7308	23	0.7333	0.8462	0.7857	26	0.7882	0.8673	0.8258	0.9582
0.0185	62.0	6572	0.2180	0.7945	0.8056	0.8	72	0.7174	0.88	0.7904	75	0.8581	0.9301	0.8926	143	0.5667	0.7391	0.6415	23	0.6897	0.7692	0.7273	26	0.7757	0.8673	0.8189	0.9557
0.0174	63.0	6678	0.2137	0.7917	0.7917	0.7917	72	0.7262	0.8133	0.7673	75	0.8693	0.9301	0.8986	143	0.6786	0.8261	0.7451	23	0.75	0.8077	0.7778	26	0.7973	0.8584	0.8267	0.9587
0.0162	64.0	6784	0.2324	0.7945	0.8056	0.8	72	0.6923	0.84	0.7590	75	0.8526	0.9301	0.8896	143	0.6786	0.8261	0.7451	23	0.7241	0.8077	0.7636	26	0.7798	0.8673	0.8212	0.9562
0.0174	65.0	6890	0.2370	0.775	0.8611	0.8158	72	0.7033	0.8533	0.7711	75	0.8471	0.9301	0.8867	143	0.5625	0.7826	0.6545	23	0.7857	0.8462	0.8148	26	0.7706	0.8820	0.8226	0.9555
0.0177	66.0	6996	0.2165	0.8082	0.8194	0.8138	72	0.6966	0.8267	0.7561	75	0.8816	0.9371	0.9085	143	0.7037	0.8261	0.76	23	0.7857	0.8462	0.8148	26	0.8022	0.8732	0.8362	0.9600
0.0151	67.0	7102	0.2298	0.8082	0.8194	0.8138	72	0.7108	0.7867	0.7468	75	0.8408	0.9231	0.8800	143	0.6	0.7826	0.6792	23	0.7931	0.8846	0.8364	26	0.7823	0.8584	0.8186	0.9565
0.0188	68.0	7208	0.2234	0.7532	0.8056	0.7785	72	0.6739	0.8267	0.7425	75	0.875	0.9301	0.9017	143	0.6	0.7826	0.6792	23	0.7586	0.8462	0.8	26	0.7711	0.8643	0.8150	0.9565
0.0151	69.0	7314	0.2399	0.7532	0.8056	0.7785	72	0.6989	0.8667	0.7738	75	0.8428	0.9371	0.8874	143	0.5484	0.7391	0.6296	23	0.7667	0.8846	0.8214	26	0.7615	0.8761	0.8148	0.9552
0.0171	70.0	7420	0.2272	0.75	0.7917	0.7703	72	0.6860	0.7867	0.7329	75	0.8758	0.9371	0.9054	143	0.6333	0.8261	0.7170	23	0.7	0.8077	0.75	26	0.7733	0.8555	0.8123	0.9567
0.0154	71.0	7526	0.2361	0.75	0.7917	0.7703	72	0.6848	0.84	0.7545	75	0.8481	0.9371	0.8904	143	0.5484	0.7391	0.6296	23	0.7586	0.8462	0.8	26	0.7591	0.8643	0.8083	0.9552
0.0147	72.0	7632	0.2276	0.7838	0.8056	0.7945	72	0.6848	0.84	0.7545	75	0.8816	0.9371	0.9085	143	0.6552	0.8261	0.7308	23	0.7333	0.8462	0.7857	26	0.7851	0.8732	0.8268	0.9585
0.0134	73.0	7738	0.2310	0.76	0.7917	0.7755	72	0.7241	0.84	0.7778	75	0.8590	0.9371	0.8963	143	0.6552	0.8261	0.7308	23	0.7333	0.8462	0.7857	26	0.7825	0.8702	0.8240	0.9582
0.0125	74.0	7844	0.2296	0.7763	0.8194	0.7973	72	0.7111	0.8533	0.7758	75	0.8816	0.9371	0.9085	143	0.6552	0.8261	0.7308	23	0.8	0.9231	0.8571	26	0.7958	0.8850	0.8380	0.9592
0.0138	75.0	7950	0.2448	0.7922	0.8472	0.8188	72	0.7033	0.8533	0.7711	75	0.8758	0.9371	0.9054	143	0.5484	0.7391	0.6296	23	0.7586	0.8462	0.8	26	0.7822	0.8791	0.8278	0.9567
0.0138	76.0	8056	0.2369	0.75	0.8333	0.7895	72	0.7033	0.8533	0.7711	75	0.8710	0.9441	0.9060	143	0.6552	0.8261	0.7308	23	0.75	0.8077	0.7778	26	0.7807	0.8820	0.8283	0.9587
0.0155	77.0	8162	0.2269	0.7703	0.7917	0.7808	72	0.7045	0.8267	0.7607	75	0.8701	0.9371	0.9024	143	0.6333	0.8261	0.7170	23	0.7586	0.8462	0.8	26	0.784	0.8673	0.8235	0.9587
0.0121	78.0	8268	0.2355	0.7763	0.8194	0.7973	72	0.7079	0.84	0.7683	75	0.8766	0.9441	0.9091	143	0.5667	0.7391	0.6415	23	0.7857	0.8462	0.8148	26	0.7851	0.8732	0.8268	0.9585
0.0134	79.0	8374	0.2424	0.7703	0.7917	0.7808	72	0.6923	0.84	0.7590	75	0.8758	0.9371	0.9054	143	0.6207	0.7826	0.6923	23	0.7857	0.8462	0.8148	26	0.784	0.8673	0.8235	0.9580
0.0132	80.0	8480	0.2254	0.7532	0.8056	0.7785	72	0.7209	0.8267	0.7702	75	0.8874	0.9371	0.9116	143	0.7308	0.8261	0.7755	23	0.8214	0.8846	0.8519	26	0.8043	0.8732	0.8373	0.9610
0.0128	81.0	8586	0.2412	0.7692	0.8333	0.8	72	0.7045	0.8267	0.7607	75	0.8581	0.9301	0.8926	143	0.6	0.7826	0.6792	23	0.8276	0.9231	0.8727	26	0.7816	0.8761	0.8261	0.9582
0.0131	82.0	8692	0.2461	0.7564	0.8194	0.7867	72	0.7045	0.8267	0.7607	75	0.8581	0.9301	0.8926	143	0.5806	0.7826	0.6667	23	0.7333	0.8462	0.7857	26	0.7696	0.8673	0.8155	0.9560
0.0127	83.0	8798	0.2331	0.7532	0.8056	0.7785	72	0.6932	0.8133	0.7485	75	0.8701	0.9371	0.9024	143	0.5806	0.7826	0.6667	23	0.7857	0.8462	0.8148	26	0.7751	0.8643	0.8173	0.9575
0.012	84.0	8904	0.2384	0.7671	0.7778	0.7724	72	0.6966	0.8267	0.7561	75	0.8636	0.9301	0.8956	143	0.6552	0.8261	0.7308	23	0.7857	0.8462	0.8148	26	0.7828	0.8614	0.8202	0.9577
0.0123	85.0	9010	0.2343	0.76	0.7917	0.7755	72	0.7209	0.8267	0.7702	75	0.8808	0.9301	0.9048	143	0.6786	0.8261	0.7451	23	0.7857	0.8462	0.8148	26	0.7962	0.8643	0.8289	0.9592
0.0117	86.0	9116	0.2410	0.7568	0.7778	0.7671	72	0.6966	0.8267	0.7561	75	0.8645	0.9371	0.8993	143	0.5312	0.7391	0.6182	23	0.7586	0.8462	0.8	26	0.7678	0.8584	0.8106	0.9555
0.0126	87.0	9222	0.2339	0.7808	0.7917	0.7862	72	0.6818	0.8	0.7362	75	0.875	0.9301	0.9017	143	0.6429	0.7826	0.7059	23	0.7857	0.8462	0.8148	26	0.7859	0.8555	0.8192	0.9582
0.0119	88.0	9328	0.2375	0.7838	0.8056	0.7945	72	0.7126	0.8267	0.7654	75	0.8645	0.9371	0.8993	143	0.6429	0.7826	0.7059	23	0.7857	0.8462	0.8148	26	0.7903	0.8673	0.8270	0.9592
0.0116	89.0	9434	0.2396	0.7973	0.8194	0.8082	72	0.7045	0.8267	0.7607	75	0.8758	0.9371	0.9054	143	0.6552	0.8261	0.7308	23	0.7857	0.8462	0.8148	26	0.7957	0.8732	0.8326	0.9595
0.0108	90.0	9540	0.2376	0.7867	0.8194	0.8027	72	0.7143	0.8	0.7547	75	0.8590	0.9371	0.8963	143	0.6552	0.8261	0.7308	23	0.7241	0.8077	0.7636	26	0.7855	0.8643	0.8230	0.9597
0.0102	91.0	9646	0.2361	0.7945	0.8056	0.8	72	0.7176	0.8133	0.7625	75	0.8581	0.9301	0.8926	143	0.6207	0.7826	0.6923	23	0.7586	0.8462	0.8	26	0.7871	0.8614	0.8225	0.9587
0.0102	92.0	9752	0.2403	0.7838	0.8056	0.7945	72	0.7126	0.8267	0.7654	75	0.8581	0.9301	0.8926	143	0.6786	0.8261	0.7451	23	0.7931	0.8846	0.8364	26	0.7909	0.8702	0.8287	0.9580
0.0108	93.0	9858	0.2382	0.8056	0.8056	0.8056	72	0.7126	0.8267	0.7654	75	0.8701	0.9371	0.9024	143	0.6552	0.8261	0.7308	23	0.7857	0.8462	0.8148	26	0.7973	0.8702	0.8322	0.9600
0.01	94.0	9964	0.2422	0.7945	0.8056	0.8	72	0.7126	0.8267	0.7654	75	0.8535	0.9371	0.8933	143	0.6552	0.8261	0.7308	23	0.7857	0.8462	0.8148	26	0.7888	0.8702	0.8275	0.9592
0.0093	95.0	10070	0.2458	0.7867	0.8194	0.8027	72	0.7126	0.8267	0.7654	75	0.8535	0.9371	0.8933	143	0.6552	0.8261	0.7308	23	0.7333	0.8462	0.7857	26	0.7831	0.8732	0.8257	0.9585
0.01	96.0	10176	0.2405	0.7808	0.7917	0.7862	72	0.7229	0.8	0.7595	75	0.8581	0.9301	0.8926	143	0.6207	0.7826	0.6923	23	0.7857	0.8462	0.8148	26	0.7880	0.8555	0.8204	0.9587
0.0092	97.0	10282	0.2446	0.7973	0.8194	0.8082	72	0.7045	0.8267	0.7607	75	0.8645	0.9371	0.8993	143	0.6207	0.7826	0.6923	23	0.7857	0.8462	0.8148	26	0.7888	0.8702	0.8275	0.9592
0.0102	98.0	10388	0.2452	0.7973	0.8194	0.8082	72	0.7045	0.8267	0.7607	75	0.8590	0.9371	0.8963	143	0.6552	0.8261	0.7308	23	0.7857	0.8462	0.8148	26	0.7893	0.8732	0.8291	0.9595
0.0102	99.0	10494	0.2437	0.7973	0.8194	0.8082	72	0.7045	0.8267	0.7607	75	0.8590	0.9371	0.8963	143	0.6552	0.8261	0.7308	23	0.7857	0.8462	0.8148	26	0.7893	0.8732	0.8291	0.9595
0.0098	100.0	10600	0.2436	0.7973	0.8194	0.8082	72	0.7045	0.8267	0.7607	75	0.8590	0.9371	0.8963	143	0.6552	0.8261	0.7308	23	0.7857	0.8462	0.8148	26	0.7893	0.8732	0.8291	0.9595

Framework versions

Transformers 4.39.3
Pytorch 2.3.0+cu121
Datasets 2.19.1
Tokenizers 0.15.2

apwic/nerugm-unipelt-2

nerugm-unipelt-2

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

apwic/
nerugm-unipelt-2