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apwic/
nerugm-lora-r16-4

Name: nerugm-lora-r16-4
Availability: InStock

tensorboard

generated_from_trainer

indolem/indobert-base-uncased

finetune

mit

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nerugm-lora-r16-4

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: 0.1423
Location Precision: 0.7349
Location Recall: 0.8356
Location F1: 0.7821
Location Number: 73
Organization Precision: 0.6543
Organization Recall: 0.8154
Organization F1: 0.7260
Organization Number: 65
Person Precision: 0.8571
Person Recall: 0.92
Person F1: 0.8875
Person Number: 150
Quantity Precision: 0.6389
Quantity Recall: 0.7931
Quantity F1: 0.7077
Quantity Number: 29
Time Precision: 0.7381
Time Recall: 0.9118
Time F1: 0.8158
Time Number: 34
Overall Precision: 0.7593
Overall Recall: 0.8718
Overall F1: 0.8117
Overall Accuracy: 0.9582

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
1.1472	1.0	106	0.7123	0.0	0.0	0.0	73	0.0	0.0	0.0	65	0.0	0.0	0.0	150	0.0	0.0	0.0	29	0.0	0.0	0.0	34	0.0	0.0	0.0	0.8366
0.6802	2.0	212	0.5883	0.0	0.0	0.0	73	0.0	0.0	0.0	65	0.1429	0.0067	0.0127	150	0.0	0.0	0.0	29	0.0	0.0	0.0	34	0.0909	0.0028	0.0055	0.8385
0.56	3.0	318	0.4647	0.4167	0.0685	0.1176	73	0.0833	0.0154	0.0260	65	0.2923	0.1267	0.1767	150	0.0	0.0	0.0	29	0.35	0.2059	0.2593	34	0.2936	0.0912	0.1391	0.8617
0.4294	4.0	424	0.3324	0.5	0.3288	0.3967	73	0.2143	0.0923	0.1290	65	0.6296	0.68	0.6538	150	0.1875	0.1034	0.1333	29	0.5758	0.5588	0.5672	34	0.5366	0.4387	0.4828	0.9077
0.324	5.0	530	0.2608	0.5301	0.6027	0.5641	73	0.4306	0.4769	0.4526	65	0.75	0.92	0.8263	150	0.3871	0.4138	0.4000	29	0.6410	0.7353	0.6849	34	0.6112	0.7123	0.6579	0.9308
0.2665	6.0	636	0.2330	0.6064	0.7808	0.6826	73	0.4713	0.6308	0.5395	65	0.7667	0.92	0.8364	150	0.4118	0.4828	0.4444	29	0.65	0.7647	0.7027	34	0.6345	0.7863	0.7023	0.9345
0.2275	7.0	742	0.1975	0.6559	0.8356	0.7349	73	0.4787	0.6923	0.5660	65	0.7809	0.9267	0.8476	150	0.4118	0.4828	0.4444	29	0.65	0.7647	0.7027	34	0.6492	0.8120	0.7215	0.9392
0.2049	8.0	848	0.1831	0.63	0.8630	0.7283	73	0.4505	0.6308	0.5256	65	0.7931	0.92	0.8519	150	0.5	0.6207	0.5538	29	0.6585	0.7941	0.72	34	0.6493	0.8177	0.7238	0.9419
0.1888	9.0	954	0.1750	0.6421	0.8356	0.7262	73	0.4946	0.7077	0.5823	65	0.7882	0.8933	0.8375	150	0.4412	0.5172	0.4762	29	0.6429	0.7941	0.7105	34	0.6521	0.8063	0.7210	0.9431
0.1759	10.0	1060	0.1671	0.7143	0.8219	0.7643	73	0.5104	0.7538	0.6087	65	0.7836	0.8933	0.8349	150	0.5405	0.6897	0.6061	29	0.6667	0.8235	0.7368	34	0.6767	0.8291	0.7452	0.9459
0.1691	11.0	1166	0.1639	0.6842	0.8904	0.7738	73	0.5426	0.7846	0.6415	65	0.8	0.9067	0.8500	150	0.5676	0.7241	0.6364	29	0.7143	0.8824	0.7895	34	0.6918	0.8632	0.7681	0.9463
0.1569	12.0	1272	0.1666	0.7191	0.8767	0.7901	73	0.5263	0.7692	0.625	65	0.7849	0.9	0.8385	150	0.525	0.7241	0.6087	29	0.6744	0.8529	0.7532	34	0.6811	0.8519	0.7570	0.9459
0.1512	13.0	1378	0.1506	0.7126	0.8493	0.7750	73	0.5581	0.7385	0.6358	65	0.7941	0.9	0.8438	150	0.5526	0.7241	0.6269	29	0.75	0.8824	0.8108	34	0.7031	0.8433	0.7668	0.9510
0.1492	14.0	1484	0.1587	0.7191	0.8767	0.7901	73	0.5204	0.7846	0.6258	65	0.7895	0.9	0.8411	150	0.6053	0.7931	0.6866	29	0.7143	0.8824	0.7895	34	0.6918	0.8632	0.7681	0.9483
0.1422	15.0	1590	0.1571	0.7111	0.8767	0.7853	73	0.5102	0.7692	0.6135	65	0.8	0.9067	0.8500	150	0.6486	0.8276	0.7273	29	0.7209	0.9118	0.8052	34	0.6963	0.8689	0.7731	0.9483
0.1386	16.0	1696	0.1537	0.7159	0.8630	0.7826	73	0.5393	0.7385	0.6234	65	0.8225	0.9267	0.8715	150	0.6410	0.8621	0.7353	29	0.6977	0.8824	0.7792	34	0.7126	0.8689	0.7831	0.9503
0.1351	17.0	1802	0.1520	0.7412	0.8630	0.7975	73	0.5152	0.7846	0.6220	65	0.8303	0.9133	0.8698	150	0.6389	0.7931	0.7077	29	0.7143	0.8824	0.7895	34	0.7119	0.8661	0.7815	0.9500
0.1397	18.0	1908	0.1488	0.7294	0.8493	0.7848	73	0.5053	0.7385	0.6	65	0.8303	0.9133	0.8698	150	0.6757	0.8621	0.7576	29	0.7381	0.9118	0.8158	34	0.7146	0.8632	0.7819	0.9500
0.1332	19.0	2014	0.1468	0.75	0.8630	0.8025	73	0.5258	0.7846	0.6296	65	0.8253	0.9133	0.8671	150	0.5833	0.7241	0.6462	29	0.7561	0.9118	0.8267	34	0.7146	0.8632	0.7819	0.9513
0.1258	20.0	2120	0.1434	0.7412	0.8630	0.7975	73	0.5542	0.7077	0.6216	65	0.8253	0.9133	0.8671	150	0.6486	0.8276	0.7273	29	0.7561	0.9118	0.8267	34	0.7306	0.8575	0.7890	0.9527
0.1231	21.0	2226	0.1407	0.7294	0.8493	0.7848	73	0.5696	0.6923	0.625	65	0.8204	0.9133	0.8644	150	0.6389	0.7931	0.7077	29	0.7561	0.9118	0.8267	34	0.7304	0.8490	0.7852	0.9545
0.1218	22.0	2332	0.1495	0.7059	0.8219	0.7595	73	0.5050	0.7846	0.6145	65	0.8059	0.9133	0.8562	150	0.6389	0.7931	0.7077	29	0.7805	0.9412	0.8533	34	0.6998	0.8632	0.7730	0.9500
0.1189	23.0	2438	0.1388	0.7590	0.8630	0.8077	73	0.5556	0.7692	0.6452	65	0.8354	0.9133	0.8726	150	0.6216	0.7931	0.6970	29	0.8049	0.9706	0.8800	34	0.7373	0.8718	0.7990	0.9562
0.1176	24.0	2544	0.1480	0.7294	0.8493	0.7848	73	0.5417	0.8	0.6460	65	0.8204	0.9133	0.8644	150	0.6154	0.8276	0.7059	29	0.7143	0.8824	0.7895	34	0.7110	0.8689	0.7821	0.9523
0.115	25.0	2650	0.1457	0.7079	0.8630	0.7778	73	0.5312	0.7846	0.6335	65	0.8303	0.9133	0.8698	150	0.6389	0.7931	0.7077	29	0.7561	0.9118	0.8267	34	0.7143	0.8689	0.7841	0.9535
0.1175	26.0	2756	0.1425	0.7625	0.8356	0.7974	73	0.5595	0.7231	0.6309	65	0.8373	0.9267	0.8797	150	0.6154	0.8276	0.7059	29	0.7561	0.9118	0.8267	34	0.7366	0.8604	0.7937	0.9555
0.1099	27.0	2862	0.1426	0.7349	0.8356	0.7821	73	0.5955	0.8154	0.6883	65	0.8424	0.9267	0.8825	150	0.575	0.7931	0.6667	29	0.7442	0.9412	0.8312	34	0.7333	0.8775	0.7990	0.9557
0.1108	28.0	2968	0.1399	0.7561	0.8493	0.8000	73	0.5977	0.8	0.6842	65	0.8263	0.92	0.8707	150	0.5946	0.7586	0.6667	29	0.7561	0.9118	0.8267	34	0.7367	0.8689	0.7974	0.9555
0.1071	29.0	3074	0.1470	0.7159	0.8630	0.7826	73	0.5347	0.8308	0.6506	65	0.8284	0.9333	0.8777	150	0.6316	0.8276	0.7164	29	0.7619	0.9412	0.8421	34	0.7146	0.8917	0.7934	0.9513
0.1075	30.0	3180	0.1315	0.7561	0.8493	0.8000	73	0.6267	0.7231	0.6714	65	0.8155	0.9133	0.8616	150	0.5833	0.7241	0.6462	29	0.8462	0.9706	0.9041	34	0.75	0.8547	0.7989	0.9569
0.1053	31.0	3286	0.1396	0.7654	0.8493	0.8052	73	0.5843	0.8	0.6753	65	0.8373	0.9267	0.8797	150	0.5897	0.7931	0.6765	29	0.7561	0.9118	0.8267	34	0.7380	0.8746	0.8005	0.9555
0.1027	32.0	3392	0.1429	0.7683	0.8630	0.8129	73	0.5612	0.8462	0.6748	65	0.8373	0.9267	0.8797	150	0.6216	0.7931	0.6970	29	0.7805	0.9412	0.8533	34	0.7358	0.8889	0.8052	0.9550
0.1036	33.0	3498	0.1393	0.7654	0.8493	0.8052	73	0.5870	0.8308	0.6879	65	0.8313	0.92	0.8734	150	0.6316	0.8276	0.7164	29	0.775	0.9118	0.8378	34	0.7410	0.8803	0.8047	0.9559
0.1	34.0	3604	0.1386	0.7561	0.8493	0.8000	73	0.5889	0.8154	0.6839	65	0.8313	0.92	0.8734	150	0.6053	0.7931	0.6866	29	0.7805	0.9412	0.8533	34	0.7386	0.8775	0.8021	0.9562
0.1013	35.0	3710	0.1437	0.7470	0.8493	0.7949	73	0.5789	0.8462	0.6875	65	0.8313	0.92	0.8734	150	0.6	0.8276	0.6957	29	0.7561	0.9118	0.8267	34	0.7294	0.8832	0.7990	0.9550
0.0988	36.0	3816	0.1437	0.7439	0.8356	0.7871	73	0.5824	0.8154	0.6795	65	0.8364	0.92	0.8762	150	0.5897	0.7931	0.6765	29	0.7561	0.9118	0.8267	34	0.7321	0.8718	0.7958	0.9547
0.0971	37.0	3922	0.1551	0.7262	0.8356	0.7771	73	0.5429	0.8769	0.6706	65	0.8263	0.92	0.8707	150	0.5897	0.7931	0.6765	29	0.7317	0.8824	0.8	34	0.7087	0.8803	0.7853	0.9491
0.0967	38.0	4028	0.1369	0.7625	0.8356	0.7974	73	0.6203	0.7538	0.6806	65	0.8364	0.92	0.8762	150	0.6053	0.7931	0.6866	29	0.775	0.9118	0.8378	34	0.7512	0.8604	0.8021	0.9569
0.0949	39.0	4134	0.1398	0.7381	0.8493	0.7898	73	0.5729	0.8462	0.6832	65	0.8364	0.92	0.8762	150	0.5946	0.7586	0.6667	29	0.7561	0.9118	0.8267	34	0.7281	0.8775	0.7959	0.9559
0.0956	40.0	4240	0.1413	0.7262	0.8356	0.7771	73	0.6092	0.8154	0.6974	65	0.8415	0.92	0.8790	150	0.5897	0.7931	0.6765	29	0.775	0.9118	0.8378	34	0.7391	0.8718	0.8000	0.9559
0.0913	41.0	4346	0.1397	0.7381	0.8493	0.7898	73	0.6044	0.8462	0.7051	65	0.8415	0.92	0.8790	150	0.6053	0.7931	0.6866	29	0.7561	0.9118	0.8267	34	0.7392	0.8803	0.8036	0.9567
0.0949	42.0	4452	0.1463	0.7439	0.8356	0.7871	73	0.5934	0.8308	0.6923	65	0.8519	0.92	0.8846	150	0.5897	0.7931	0.6765	29	0.775	0.9118	0.8378	34	0.7415	0.8746	0.8026	0.9547
0.0919	43.0	4558	0.1371	0.7349	0.8356	0.7821	73	0.6173	0.7692	0.6849	65	0.8415	0.92	0.8790	150	0.5946	0.7586	0.6667	29	0.7561	0.9118	0.8267	34	0.7438	0.8604	0.7979	0.9567
0.0895	44.0	4664	0.1338	0.7561	0.8493	0.8000	73	0.6125	0.7538	0.6759	65	0.8424	0.9267	0.8825	150	0.6053	0.7931	0.6866	29	0.8	0.9412	0.8649	34	0.7531	0.8689	0.8069	0.9577
0.0899	45.0	4770	0.1402	0.7407	0.8219	0.7792	73	0.5806	0.8308	0.6835	65	0.8415	0.92	0.8790	150	0.5946	0.7586	0.6667	29	0.7805	0.9412	0.8533	34	0.7356	0.8718	0.7979	0.9569
0.088	46.0	4876	0.1336	0.7531	0.8356	0.7922	73	0.6163	0.8154	0.7020	65	0.8519	0.92	0.8846	150	0.5833	0.7241	0.6462	29	0.8	0.9412	0.8649	34	0.7531	0.8689	0.8069	0.9584
0.0896	47.0	4982	0.1427	0.7262	0.8356	0.7771	73	0.5895	0.8615	0.7	65	0.8476	0.9267	0.8854	150	0.6389	0.7931	0.7077	29	0.7619	0.9412	0.8421	34	0.7387	0.8860	0.8057	0.9562
0.0897	48.0	5088	0.1461	0.7093	0.8356	0.7673	73	0.6163	0.8154	0.7020	65	0.8424	0.9267	0.8825	150	0.5897	0.7931	0.6765	29	0.7381	0.9118	0.8158	34	0.7344	0.8746	0.7984	0.9550
0.0836	49.0	5194	0.1437	0.7262	0.8356	0.7771	73	0.5889	0.8154	0.6839	65	0.8519	0.92	0.8846	150	0.6216	0.7931	0.6970	29	0.7317	0.8824	0.8	34	0.7367	0.8689	0.7974	0.9552
0.0845	50.0	5300	0.1428	0.7262	0.8356	0.7771	73	0.6044	0.8462	0.7051	65	0.8466	0.92	0.8818	150	0.5946	0.7586	0.6667	29	0.775	0.9118	0.8378	34	0.7398	0.8746	0.8016	0.9552
0.0849	51.0	5406	0.1388	0.7439	0.8356	0.7871	73	0.6092	0.8154	0.6974	65	0.8466	0.92	0.8818	150	0.5946	0.7586	0.6667	29	0.775	0.9118	0.8378	34	0.7457	0.8689	0.8026	0.9564
0.0836	52.0	5512	0.1435	0.7093	0.8356	0.7673	73	0.6163	0.8154	0.7020	65	0.8519	0.92	0.8846	150	0.6053	0.7931	0.6866	29	0.7561	0.9118	0.8267	34	0.7409	0.8718	0.8010	0.9555
0.0838	53.0	5618	0.1494	0.7011	0.8356	0.7625	73	0.5806	0.8308	0.6835	65	0.8415	0.92	0.8790	150	0.575	0.7931	0.6667	29	0.7317	0.8824	0.8	34	0.72	0.8718	0.7887	0.9527
0.0811	54.0	5724	0.1462	0.6966	0.8493	0.7654	73	0.5914	0.8462	0.6962	65	0.8466	0.92	0.8818	150	0.6486	0.8276	0.7273	29	0.7561	0.9118	0.8267	34	0.7329	0.8832	0.8010	0.9557
0.0826	55.0	5830	0.1463	0.7262	0.8356	0.7771	73	0.5714	0.8	0.6667	65	0.8466	0.92	0.8818	150	0.6053	0.7931	0.6866	29	0.7561	0.9118	0.8267	34	0.7314	0.8689	0.7943	0.9535
0.0818	56.0	5936	0.1475	0.7381	0.8493	0.7898	73	0.5824	0.8154	0.6795	65	0.8415	0.92	0.8790	150	0.6216	0.7931	0.6970	29	0.775	0.9118	0.8378	34	0.7380	0.8746	0.8005	0.9555
0.0833	57.0	6042	0.1485	0.7229	0.8219	0.7692	73	0.5745	0.8308	0.6792	65	0.8313	0.92	0.8734	150	0.6053	0.7931	0.6866	29	0.7561	0.9118	0.8267	34	0.7251	0.8718	0.7917	0.9530
0.0798	58.0	6148	0.1409	0.7229	0.8219	0.7692	73	0.6190	0.8	0.6980	65	0.8571	0.92	0.8875	150	0.6571	0.7931	0.7188	29	0.775	0.9118	0.8378	34	0.7543	0.8661	0.8064	0.9564
0.0802	59.0	6254	0.1450	0.7262	0.8356	0.7771	73	0.5955	0.8154	0.6883	65	0.8571	0.92	0.8875	150	0.6389	0.7931	0.7077	29	0.7561	0.9118	0.8267	34	0.7445	0.8718	0.8031	0.9557
0.08	60.0	6360	0.1365	0.7561	0.8493	0.8000	73	0.6163	0.8154	0.7020	65	0.8571	0.92	0.8875	150	0.6286	0.7586	0.6875	29	0.7805	0.9412	0.8533	34	0.7580	0.8746	0.8122	0.9591
0.0792	61.0	6466	0.1384	0.7229	0.8219	0.7692	73	0.6279	0.8308	0.7152	65	0.8519	0.92	0.8846	150	0.6286	0.7586	0.6875	29	0.7805	0.9412	0.8533	34	0.7518	0.8718	0.8074	0.9577
0.0776	62.0	6572	0.1412	0.7229	0.8219	0.7692	73	0.6582	0.8	0.7222	65	0.8519	0.92	0.8846	150	0.6216	0.7931	0.6970	29	0.7619	0.9412	0.8421	34	0.7568	0.8689	0.8090	0.9577
0.0782	63.0	6678	0.1416	0.7262	0.8356	0.7771	73	0.5870	0.8308	0.6879	65	0.8571	0.92	0.8875	150	0.6389	0.7931	0.7077	29	0.7619	0.9412	0.8421	34	0.7422	0.8775	0.8042	0.9555
0.0789	64.0	6784	0.1338	0.7262	0.8356	0.7771	73	0.6420	0.8	0.7123	65	0.8571	0.92	0.8875	150	0.6286	0.7586	0.6875	29	0.7619	0.9412	0.8421	34	0.7568	0.8689	0.8090	0.9582
0.0769	65.0	6890	0.1396	0.7176	0.8356	0.7722	73	0.6420	0.8	0.7123	65	0.8571	0.92	0.8875	150	0.6389	0.7931	0.7077	29	0.7561	0.9118	0.8267	34	0.7550	0.8689	0.8079	0.9579
0.0757	66.0	6996	0.1402	0.7262	0.8356	0.7771	73	0.6163	0.8154	0.7020	65	0.8519	0.92	0.8846	150	0.6111	0.7586	0.6769	29	0.7619	0.9412	0.8421	34	0.7463	0.8718	0.8042	0.9577
0.0753	67.0	7102	0.1390	0.7349	0.8356	0.7821	73	0.6463	0.8154	0.7211	65	0.8571	0.92	0.8875	150	0.6389	0.7931	0.7077	29	0.7805	0.9412	0.8533	34	0.7618	0.8746	0.8143	0.9594
0.0757	68.0	7208	0.1379	0.7439	0.8356	0.7871	73	0.65	0.8	0.7172	65	0.8571	0.92	0.8875	150	0.6389	0.7931	0.7077	29	0.7805	0.9412	0.8533	34	0.765	0.8718	0.8149	0.9591
0.0731	69.0	7314	0.1417	0.7262	0.8356	0.7771	73	0.6364	0.8615	0.7320	65	0.8571	0.92	0.8875	150	0.6571	0.7931	0.7188	29	0.7805	0.9412	0.8533	34	0.7579	0.8832	0.8158	0.9582
0.0751	70.0	7420	0.1352	0.7439	0.8356	0.7871	73	0.65	0.8	0.7172	65	0.8625	0.92	0.8903	150	0.6286	0.7586	0.6875	29	0.7805	0.9412	0.8533	34	0.7663	0.8689	0.8144	0.9591
0.0755	71.0	7526	0.1439	0.7349	0.8356	0.7821	73	0.625	0.8462	0.7190	65	0.8519	0.92	0.8846	150	0.6216	0.7931	0.6970	29	0.7619	0.9412	0.8421	34	0.75	0.8803	0.8100	0.9577
0.0745	72.0	7632	0.1397	0.7262	0.8356	0.7771	73	0.6420	0.8	0.7123	65	0.8519	0.92	0.8846	150	0.6111	0.7586	0.6769	29	0.7619	0.9412	0.8421	34	0.7531	0.8689	0.8069	0.9579
0.0746	73.0	7738	0.1361	0.7407	0.8219	0.7792	73	0.65	0.8	0.7172	65	0.8571	0.92	0.8875	150	0.6389	0.7931	0.7077	29	0.7805	0.9412	0.8533	34	0.7644	0.8689	0.8133	0.9591
0.0727	74.0	7844	0.1356	0.7439	0.8356	0.7871	73	0.65	0.8	0.7172	65	0.8571	0.92	0.8875	150	0.6286	0.7586	0.6875	29	0.7805	0.9412	0.8533	34	0.7644	0.8689	0.8133	0.9596
0.0727	75.0	7950	0.1443	0.7262	0.8356	0.7771	73	0.6386	0.8154	0.7162	65	0.8571	0.92	0.8875	150	0.6389	0.7931	0.7077	29	0.7619	0.9412	0.8421	34	0.7562	0.8746	0.8111	0.9574
0.073	76.0	8056	0.1439	0.7262	0.8356	0.7771	73	0.6067	0.8308	0.7013	65	0.8571	0.92	0.8875	150	0.6286	0.7586	0.6875	29	0.7317	0.8824	0.8	34	0.7439	0.8689	0.8016	0.9550
0.0733	77.0	8162	0.1373	0.7407	0.8219	0.7792	73	0.6625	0.8154	0.7310	65	0.8571	0.92	0.8875	150	0.6286	0.7586	0.6875	29	0.7561	0.9118	0.8267	34	0.7638	0.8661	0.8117	0.9594
0.072	78.0	8268	0.1415	0.7439	0.8356	0.7871	73	0.6543	0.8154	0.7260	65	0.8571	0.92	0.8875	150	0.6389	0.7931	0.7077	29	0.7619	0.9412	0.8421	34	0.7637	0.8746	0.8154	0.9582
0.0718	79.0	8374	0.1495	0.7176	0.8356	0.7722	73	0.6154	0.8615	0.7179	65	0.8466	0.92	0.8818	150	0.6389	0.7931	0.7077	29	0.7317	0.8824	0.8	34	0.7404	0.8775	0.8031	0.9552
0.0703	80.0	8480	0.1430	0.7349	0.8356	0.7821	73	0.6627	0.8462	0.7432	65	0.8466	0.92	0.8818	150	0.6389	0.7931	0.7077	29	0.7317	0.8824	0.8	34	0.7562	0.8746	0.8111	0.9572
0.0702	81.0	8586	0.1415	0.7349	0.8356	0.7821	73	0.6627	0.8462	0.7432	65	0.8571	0.92	0.8875	150	0.6571	0.7931	0.7188	29	0.7317	0.8824	0.8	34	0.7618	0.8746	0.8143	0.9584
0.0721	82.0	8692	0.1425	0.7349	0.8356	0.7821	73	0.6627	0.8462	0.7432	65	0.8571	0.92	0.8875	150	0.6571	0.7931	0.7188	29	0.7561	0.9118	0.8267	34	0.7643	0.8775	0.8170	0.9589
0.0712	83.0	8798	0.1438	0.7262	0.8356	0.7771	73	0.6627	0.8462	0.7432	65	0.8571	0.92	0.8875	150	0.6571	0.7931	0.7188	29	0.7619	0.9412	0.8421	34	0.7630	0.8803	0.8175	0.9587
0.0719	84.0	8904	0.1437	0.7262	0.8356	0.7771	73	0.6548	0.8462	0.7383	65	0.8571	0.92	0.8875	150	0.6389	0.7931	0.7077	29	0.7619	0.9412	0.8421	34	0.7592	0.8803	0.8153	0.9579
0.0709	85.0	9010	0.1442	0.7262	0.8356	0.7771	73	0.6506	0.8308	0.7297	65	0.8571	0.92	0.8875	150	0.6389	0.7931	0.7077	29	0.7317	0.8824	0.8	34	0.7556	0.8718	0.8095	0.9574
0.0699	86.0	9116	0.1407	0.7439	0.8356	0.7871	73	0.6585	0.8308	0.7347	65	0.8571	0.92	0.8875	150	0.6389	0.7931	0.7077	29	0.7619	0.9412	0.8421	34	0.7643	0.8775	0.8170	0.9589
0.0681	87.0	9222	0.1414	0.7349	0.8356	0.7821	73	0.6585	0.8308	0.7347	65	0.8571	0.92	0.8875	150	0.6571	0.7931	0.7188	29	0.7619	0.9412	0.8421	34	0.7643	0.8775	0.8170	0.9589
0.0685	88.0	9328	0.1427	0.7262	0.8356	0.7771	73	0.6585	0.8308	0.7347	65	0.8519	0.92	0.8846	150	0.6389	0.7931	0.7077	29	0.7805	0.9412	0.8533	34	0.7605	0.8775	0.8148	0.9579
0.0703	89.0	9434	0.1406	0.7439	0.8356	0.7871	73	0.6625	0.8154	0.7310	65	0.8571	0.92	0.8875	150	0.6389	0.7931	0.7077	29	0.8	0.9412	0.8649	34	0.7694	0.8746	0.8187	0.9594
0.0695	90.0	9540	0.1384	0.7439	0.8356	0.7871	73	0.6543	0.8154	0.7260	65	0.8571	0.92	0.8875	150	0.6389	0.7931	0.7077	29	0.8205	0.9412	0.8767	34	0.7694	0.8746	0.8187	0.9601
0.0684	91.0	9646	0.1436	0.7262	0.8356	0.7771	73	0.6463	0.8154	0.7211	65	0.8466	0.92	0.8818	150	0.6389	0.7931	0.7077	29	0.7619	0.9412	0.8421	34	0.7543	0.8746	0.8100	0.9569
0.0681	92.0	9752	0.1414	0.7439	0.8356	0.7871	73	0.6543	0.8154	0.7260	65	0.8571	0.92	0.8875	150	0.6389	0.7931	0.7077	29	0.7805	0.9412	0.8533	34	0.7656	0.8746	0.8165	0.9591
0.0694	93.0	9858	0.1429	0.7349	0.8356	0.7821	73	0.6585	0.8308	0.7347	65	0.8571	0.92	0.8875	150	0.6389	0.7931	0.7077	29	0.7381	0.9118	0.8158	34	0.7599	0.8746	0.8132	0.9584
0.068	94.0	9964	0.1413	0.7349	0.8356	0.7821	73	0.6543	0.8154	0.7260	65	0.8571	0.92	0.8875	150	0.6389	0.7931	0.7077	29	0.7619	0.9412	0.8421	34	0.7618	0.8746	0.8143	0.9582
0.0682	95.0	10070	0.1429	0.7349	0.8356	0.7821	73	0.6585	0.8308	0.7347	65	0.8571	0.92	0.8875	150	0.6389	0.7931	0.7077	29	0.7381	0.9118	0.8158	34	0.7599	0.8746	0.8132	0.9582
0.0697	96.0	10176	0.1423	0.7349	0.8356	0.7821	73	0.6543	0.8154	0.7260	65	0.8571	0.92	0.8875	150	0.6389	0.7931	0.7077	29	0.7381	0.9118	0.8158	34	0.7593	0.8718	0.8117	0.9579
0.0672	97.0	10282	0.1422	0.7349	0.8356	0.7821	73	0.6543	0.8154	0.7260	65	0.8571	0.92	0.8875	150	0.6389	0.7931	0.7077	29	0.7381	0.9118	0.8158	34	0.7593	0.8718	0.8117	0.9579
0.0674	98.0	10388	0.1428	0.7349	0.8356	0.7821	73	0.6585	0.8308	0.7347	65	0.8571	0.92	0.8875	150	0.6389	0.7931	0.7077	29	0.7381	0.9118	0.8158	34	0.7599	0.8746	0.8132	0.9584
0.0666	99.0	10494	0.1419	0.7349	0.8356	0.7821	73	0.6543	0.8154	0.7260	65	0.8571	0.92	0.8875	150	0.6389	0.7931	0.7077	29	0.7381	0.9118	0.8158	34	0.7593	0.8718	0.8117	0.9582
0.0693	100.0	10600	0.1423	0.7349	0.8356	0.7821	73	0.6543	0.8154	0.7260	65	0.8571	0.92	0.8875	150	0.6389	0.7931	0.7077	29	0.7381	0.9118	0.8158	34	0.7593	0.8718	0.8117	0.9582

Framework versions

Transformers 4.39.3
Pytorch 2.3.0+cu121
Datasets 2.19.1
Tokenizers 0.15.2

apwic/nerugm-lora-r16-4

nerugm-lora-r16-4

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

apwic/
nerugm-lora-r16-4