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apwic/
nerugm-lora-r16-0

Name: nerugm-lora-r16-0
Availability: InStock

tensorboard

generated_from_trainer

indolem/indobert-base-uncased

finetune

mit

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nerugm-lora-r16-0

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: 0.1358
Location Precision: 0.7722
Location Recall: 0.8841
Location F1: 0.8243
Location Number: 69
Organization Precision: 0.6377
Organization Recall: 0.7586
Organization F1: 0.6929
Organization Number: 58
Person Precision: 0.8424
Person Recall: 0.9145
Person F1: 0.8770
Person Number: 152
Quantity Precision: 0.6154
Quantity Recall: 0.8
Quantity F1: 0.6957
Quantity Number: 30
Time Precision: 0.7576
Time Recall: 0.8621
Time F1: 0.8065
Time Number: 29
Overall Precision: 0.7610
Overall Recall: 0.8669
Overall F1: 0.8105
Overall Accuracy: 0.9577

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
1.1575	1.0	106	0.7082	0.0	0.0	0.0	69	0.0	0.0	0.0	58	0.0	0.0	0.0	152	0.0	0.0	0.0	30	0.0	0.0	0.0	29	0.0	0.0	0.0	0.8397
0.6803	2.0	212	0.5858	0.0	0.0	0.0	69	0.0	0.0	0.0	58	0.2	0.0066	0.0127	152	0.0	0.0	0.0	30	0.0	0.0	0.0	29	0.1429	0.0030	0.0058	0.8410
0.5602	3.0	318	0.4571	0.2	0.0145	0.0270	69	0.0	0.0	0.0	58	0.3	0.1579	0.2069	152	0.0	0.0	0.0	30	0.1429	0.0690	0.0930	29	0.27	0.0799	0.1233	0.8612
0.4308	4.0	424	0.3336	0.4	0.2899	0.3361	69	0.2	0.1552	0.1748	58	0.5309	0.6776	0.5954	152	0.2941	0.1667	0.2128	30	0.4815	0.4483	0.4643	29	0.4505	0.4438	0.4471	0.9047
0.3238	5.0	530	0.2585	0.5488	0.6522	0.5960	69	0.3276	0.3276	0.3276	58	0.6736	0.8553	0.7536	152	0.3611	0.4333	0.3939	30	0.5143	0.6207	0.5625	29	0.5569	0.6657	0.6065	0.9265
0.2653	6.0	636	0.2287	0.5870	0.7826	0.6708	69	0.4118	0.4828	0.4444	58	0.6802	0.8816	0.7679	152	0.4242	0.4667	0.4444	30	0.6061	0.6897	0.6452	29	0.5910	0.7396	0.6570	0.9309
0.2286	7.0	742	0.1973	0.6705	0.8551	0.7516	69	0.4722	0.5862	0.5231	58	0.7433	0.9145	0.8201	152	0.5	0.6	0.5455	30	0.6176	0.7241	0.6667	29	0.6499	0.8018	0.7179	0.9393
0.2052	8.0	848	0.1775	0.6742	0.8696	0.7595	69	0.5122	0.7241	0.6000	58	0.7514	0.8947	0.8168	152	0.4857	0.5667	0.5231	30	0.7812	0.8621	0.8197	29	0.6683	0.8284	0.7398	0.9431
0.1891	9.0	954	0.1697	0.7045	0.8986	0.7898	69	0.5375	0.7414	0.6232	58	0.7403	0.8816	0.8048	152	0.5429	0.6333	0.5846	30	0.7273	0.8276	0.7742	29	0.6763	0.8343	0.7470	0.9442
0.176	10.0	1060	0.1571	0.7470	0.8986	0.8158	69	0.5294	0.7759	0.6294	58	0.7644	0.875	0.8160	152	0.5641	0.7333	0.6377	30	0.7812	0.8621	0.8197	29	0.6949	0.8491	0.7643	0.9498
0.1684	11.0	1166	0.1611	0.7386	0.9420	0.8280	69	0.5301	0.7586	0.6241	58	0.7268	0.875	0.7940	152	0.6154	0.8	0.6957	30	0.7222	0.8966	0.8000	29	0.6807	0.8639	0.7614	0.9465
0.1609	12.0	1272	0.1457	0.7558	0.9420	0.8387	69	0.5811	0.7414	0.6515	58	0.7746	0.8816	0.8246	152	0.6857	0.8	0.7385	30	0.7941	0.9310	0.8571	29	0.7289	0.8669	0.7919	0.9542
0.1516	13.0	1378	0.1377	0.7531	0.8841	0.8133	69	0.5867	0.7586	0.6617	58	0.7988	0.8882	0.8411	152	0.6111	0.7333	0.6667	30	0.8182	0.9310	0.8710	29	0.7335	0.8550	0.7896	0.9557
0.147	14.0	1484	0.1513	0.7805	0.9275	0.8477	69	0.4945	0.7759	0.6040	58	0.7907	0.8947	0.8395	152	0.7027	0.8667	0.7761	30	0.7429	0.8966	0.8125	29	0.7122	0.8787	0.7868	0.9506
0.1421	15.0	1590	0.1350	0.8101	0.9275	0.8649	69	0.5946	0.7586	0.6667	58	0.8133	0.8882	0.8491	152	0.6571	0.7667	0.7077	30	0.8125	0.8966	0.8525	29	0.7565	0.8639	0.8066	0.9580
0.1368	16.0	1696	0.1334	0.7901	0.9275	0.8533	69	0.5556	0.6897	0.6154	58	0.8036	0.8882	0.8437	152	0.6471	0.7333	0.6875	30	0.8710	0.9310	0.9	29	0.7461	0.8521	0.7956	0.9577
0.1349	17.0	1802	0.1446	0.7529	0.9275	0.8312	69	0.5366	0.7586	0.6286	58	0.7988	0.8882	0.8411	152	0.6410	0.8333	0.7246	30	0.7059	0.8276	0.7619	29	0.7139	0.8639	0.7818	0.9521
0.1331	18.0	1908	0.1384	0.7711	0.9275	0.8421	69	0.5714	0.7586	0.6519	58	0.7861	0.8947	0.8369	152	0.6579	0.8333	0.7353	30	0.7647	0.8966	0.8254	29	0.7284	0.8728	0.7941	0.9547
0.1281	19.0	2014	0.1298	0.7875	0.9130	0.8456	69	0.6027	0.7586	0.6718	58	0.8047	0.8947	0.8474	152	0.6579	0.8333	0.7353	30	0.8182	0.9310	0.8710	29	0.7506	0.8728	0.8071	0.9580
0.1238	20.0	2120	0.1383	0.7590	0.9130	0.8289	69	0.5789	0.7586	0.6567	58	0.8012	0.9013	0.8483	152	0.6316	0.8	0.7059	30	0.7143	0.8621	0.7813	29	0.7270	0.8669	0.7908	0.9549
0.1206	21.0	2226	0.1410	0.7711	0.9275	0.8421	69	0.5476	0.7931	0.6479	58	0.8059	0.9013	0.8509	152	0.6579	0.8333	0.7353	30	0.7429	0.8966	0.8125	29	0.7268	0.8817	0.7968	0.9544
0.1203	22.0	2332	0.1311	0.7590	0.9130	0.8289	69	0.55	0.7586	0.6377	58	0.8204	0.9013	0.8589	152	0.7222	0.8667	0.7879	30	0.7647	0.8966	0.8254	29	0.74	0.8757	0.8022	0.9575
0.1186	23.0	2438	0.1342	0.8101	0.9275	0.8649	69	0.5921	0.7759	0.6716	58	0.7977	0.9079	0.8492	152	0.6667	0.8	0.7273	30	0.7576	0.8621	0.8065	29	0.7456	0.8757	0.8054	0.9572
0.1194	24.0	2544	0.1445	0.7901	0.9275	0.8533	69	0.6076	0.8276	0.7007	58	0.7667	0.9079	0.8313	152	0.6316	0.8	0.7059	30	0.7059	0.8276	0.7619	29	0.7233	0.8817	0.7947	0.9539
0.1159	25.0	2650	0.1341	0.7683	0.9130	0.8344	69	0.5696	0.7759	0.6569	58	0.8107	0.9013	0.8536	152	0.6667	0.8	0.7273	30	0.7353	0.8621	0.7937	29	0.735	0.8698	0.7967	0.9567
0.112	26.0	2756	0.1394	0.7619	0.9275	0.8366	69	0.575	0.7931	0.6667	58	0.8059	0.9013	0.8509	152	0.6053	0.7667	0.6765	30	0.7353	0.8621	0.7937	29	0.7266	0.8728	0.7930	0.9554
0.1099	27.0	2862	0.1319	0.7561	0.8986	0.8212	69	0.5775	0.7069	0.6357	58	0.8274	0.9145	0.8687	152	0.6053	0.7667	0.6765	30	0.7812	0.8621	0.8197	29	0.7417	0.8580	0.7956	0.9567
0.112	28.0	2968	0.1301	0.7683	0.9130	0.8344	69	0.5616	0.7069	0.6260	58	0.8323	0.9145	0.8715	152	0.6316	0.8	0.7059	30	0.7353	0.8621	0.7937	29	0.7411	0.8639	0.7978	0.9570
0.1073	29.0	3074	0.1324	0.7805	0.9275	0.8477	69	0.5556	0.6897	0.6154	58	0.8383	0.9211	0.8777	152	0.6053	0.7667	0.6765	30	0.75	0.8276	0.7869	29	0.7442	0.8609	0.7984	0.9565
0.1072	30.0	3180	0.1271	0.7778	0.9130	0.84	69	0.5753	0.7241	0.6412	58	0.8204	0.9013	0.8589	152	0.6053	0.7667	0.6765	30	0.7576	0.8621	0.8065	29	0.7398	0.8580	0.7945	0.9570
0.1054	31.0	3286	0.1269	0.7875	0.9130	0.8456	69	0.6087	0.7241	0.6614	58	0.8023	0.9079	0.8519	152	0.6216	0.7667	0.6866	30	0.7812	0.8621	0.8197	29	0.7462	0.8609	0.7995	0.9575
0.1036	32.0	3392	0.1220	0.7949	0.8986	0.8435	69	0.6232	0.7414	0.6772	58	0.8155	0.9013	0.8562	152	0.6486	0.8	0.7164	30	0.7812	0.8621	0.8197	29	0.7578	0.8609	0.8061	0.9590
0.1035	33.0	3498	0.1218	0.7848	0.8986	0.8378	69	0.6087	0.7241	0.6614	58	0.8373	0.9145	0.8742	152	0.6316	0.8	0.7059	30	0.7812	0.8621	0.8197	29	0.7604	0.8639	0.8089	0.9598
0.0989	34.0	3604	0.1317	0.7975	0.9130	0.8514	69	0.6	0.7759	0.6767	58	0.8758	0.9276	0.9010	152	0.6316	0.8	0.7059	30	0.7273	0.8276	0.7742	29	0.7694	0.8787	0.8204	0.9580
0.0979	35.0	3710	0.1354	0.7778	0.9130	0.84	69	0.6081	0.7759	0.6818	58	0.8129	0.9145	0.8607	152	0.6053	0.7667	0.6765	30	0.7576	0.8621	0.8065	29	0.7431	0.8728	0.8027	0.9562
0.0983	36.0	3816	0.1285	0.7949	0.8986	0.8435	69	0.6111	0.7586	0.6769	58	0.8047	0.8947	0.8474	152	0.6316	0.8	0.7059	30	0.7273	0.8276	0.7742	29	0.7436	0.8580	0.7967	0.9575
0.1003	37.0	3922	0.1267	0.7590	0.9130	0.8289	69	0.5890	0.7414	0.6565	58	0.8214	0.9079	0.8625	152	0.6316	0.8	0.7059	30	0.7273	0.8276	0.7742	29	0.7392	0.8639	0.7967	0.9577
0.0933	38.0	4028	0.1350	0.7875	0.9130	0.8456	69	0.6104	0.8103	0.6963	58	0.8383	0.9211	0.8777	152	0.6410	0.8333	0.7246	30	0.75	0.8276	0.7869	29	0.7570	0.8846	0.8158	0.9580
0.0963	39.0	4134	0.1293	0.7875	0.9130	0.8456	69	0.6197	0.7586	0.6822	58	0.8012	0.9013	0.8483	152	0.6316	0.8	0.7059	30	0.7576	0.8621	0.8065	29	0.7455	0.8669	0.8016	0.9577
0.0935	40.0	4240	0.1271	0.7949	0.8986	0.8435	69	0.6286	0.7586	0.6875	58	0.8274	0.9145	0.8687	152	0.6316	0.8	0.7059	30	0.7576	0.8621	0.8065	29	0.7597	0.8698	0.8110	0.9588
0.0936	41.0	4346	0.1237	0.8052	0.8986	0.8493	69	0.6164	0.7759	0.6870	58	0.8434	0.9211	0.8805	152	0.6667	0.8	0.7273	30	0.8065	0.8621	0.8333	29	0.7728	0.8757	0.8211	0.9598
0.091	42.0	4452	0.1286	0.775	0.8986	0.8322	69	0.625	0.7759	0.6923	58	0.8476	0.9145	0.8797	152	0.6316	0.8	0.7059	30	0.7576	0.8621	0.8065	29	0.7623	0.8728	0.8138	0.9590
0.0923	43.0	4558	0.1299	0.7875	0.9130	0.8456	69	0.6081	0.7759	0.6818	58	0.8274	0.9145	0.8687	152	0.6316	0.8	0.7059	30	0.7812	0.8621	0.8197	29	0.7551	0.8757	0.8110	0.9580
0.0919	44.0	4664	0.1245	0.775	0.8986	0.8322	69	0.6429	0.7759	0.7031	58	0.8155	0.9013	0.8562	152	0.6316	0.8	0.7059	30	0.7576	0.8621	0.8065	29	0.7532	0.8669	0.8061	0.9588
0.0889	45.0	4770	0.1310	0.775	0.8986	0.8322	69	0.6338	0.7759	0.6977	58	0.8485	0.9211	0.8833	152	0.6053	0.7667	0.6765	30	0.7576	0.8621	0.8065	29	0.7623	0.8728	0.8138	0.9588
0.0884	46.0	4876	0.1276	0.775	0.8986	0.8322	69	0.6	0.7759	0.6767	58	0.8466	0.9079	0.8762	152	0.6316	0.8	0.7059	30	0.7576	0.8621	0.8065	29	0.7558	0.8698	0.8088	0.9583
0.0887	47.0	4982	0.1309	0.7848	0.8986	0.8378	69	0.625	0.7759	0.6923	58	0.8571	0.9079	0.8818	152	0.6053	0.7667	0.6765	30	0.7576	0.8621	0.8065	29	0.7650	0.8669	0.8128	0.9588
0.0858	48.0	5088	0.1291	0.7848	0.8986	0.8378	69	0.6522	0.7759	0.7087	58	0.8263	0.9079	0.8652	152	0.6316	0.8	0.7059	30	0.7576	0.8621	0.8065	29	0.7617	0.8698	0.8122	0.9585
0.0861	49.0	5194	0.1337	0.7975	0.9130	0.8514	69	0.6216	0.7931	0.6970	58	0.8434	0.9211	0.8805	152	0.6486	0.8	0.7164	30	0.7576	0.8621	0.8065	29	0.7661	0.8817	0.8198	0.9580
0.0859	50.0	5300	0.1189	0.8026	0.8841	0.8414	69	0.6515	0.7414	0.6935	58	0.8405	0.9013	0.8698	152	0.6765	0.7667	0.7188	30	0.7812	0.8621	0.8197	29	0.7790	0.8550	0.8152	0.9601
0.0849	51.0	5406	0.1275	0.775	0.8986	0.8322	69	0.625	0.7759	0.6923	58	0.8580	0.9145	0.8854	152	0.6316	0.8	0.7059	30	0.7812	0.8621	0.8197	29	0.7682	0.8728	0.8172	0.9593
0.0817	52.0	5512	0.1322	0.7949	0.8986	0.8435	69	0.6164	0.7759	0.6870	58	0.8545	0.9276	0.8896	152	0.6316	0.8	0.7059	30	0.7273	0.8276	0.7742	29	0.7649	0.8757	0.8166	0.9588
0.0846	53.0	5618	0.1272	0.7848	0.8986	0.8378	69	0.6377	0.7586	0.6929	58	0.8485	0.9211	0.8833	152	0.6316	0.8	0.7059	30	0.8065	0.8621	0.8333	29	0.7723	0.8728	0.8194	0.9603
0.0834	54.0	5724	0.1267	0.7683	0.9130	0.8344	69	0.6197	0.7586	0.6822	58	0.8537	0.9211	0.8861	152	0.6316	0.8	0.7059	30	0.7812	0.8621	0.8197	29	0.7649	0.8757	0.8166	0.9595
0.0826	55.0	5830	0.1322	0.8101	0.9275	0.8649	69	0.6164	0.7759	0.6870	58	0.8424	0.9145	0.8770	152	0.6316	0.8	0.7059	30	0.75	0.8276	0.7869	29	0.7649	0.8757	0.8166	0.9590
0.0823	56.0	5936	0.1269	0.7778	0.9130	0.84	69	0.6562	0.7241	0.6885	58	0.8537	0.9211	0.8861	152	0.6316	0.8	0.7059	30	0.7812	0.8621	0.8197	29	0.7757	0.8698	0.8201	0.9603
0.0793	57.0	6042	0.1286	0.7778	0.9130	0.84	69	0.6429	0.7759	0.7031	58	0.8537	0.9211	0.8861	152	0.6316	0.8	0.7059	30	0.7576	0.8621	0.8065	29	0.7694	0.8787	0.8204	0.9595
0.0788	58.0	6148	0.1271	0.7949	0.8986	0.8435	69	0.625	0.7759	0.6923	58	0.8485	0.9211	0.8833	152	0.6486	0.8	0.7164	30	0.7576	0.8621	0.8065	29	0.7688	0.8757	0.8188	0.9598
0.0778	59.0	6254	0.1287	0.7778	0.9130	0.84	69	0.6164	0.7759	0.6870	58	0.8383	0.9211	0.8777	152	0.6053	0.7667	0.6765	30	0.7576	0.8621	0.8065	29	0.7551	0.8757	0.8110	0.9585
0.0786	60.0	6360	0.1348	0.7683	0.9130	0.8344	69	0.625	0.7759	0.6923	58	0.8424	0.9145	0.8770	152	0.6316	0.8	0.7059	30	0.7576	0.8621	0.8065	29	0.7590	0.8757	0.8132	0.9583
0.0782	61.0	6466	0.1307	0.7975	0.9130	0.8514	69	0.6338	0.7759	0.6977	58	0.8485	0.9211	0.8833	152	0.6053	0.7667	0.6765	30	0.7576	0.8621	0.8065	29	0.7668	0.8757	0.8177	0.9590
0.0782	62.0	6572	0.1289	0.7654	0.8986	0.8267	69	0.5972	0.7414	0.6615	58	0.8204	0.9013	0.8589	152	0.6053	0.7667	0.6765	30	0.7576	0.8621	0.8065	29	0.7417	0.8580	0.7956	0.9570
0.0774	63.0	6678	0.1315	0.7778	0.9130	0.84	69	0.6143	0.7414	0.6719	58	0.8274	0.9145	0.8687	152	0.6053	0.7667	0.6765	30	0.7576	0.8621	0.8065	29	0.7513	0.8669	0.8049	0.9572
0.0782	64.0	6784	0.1349	0.7778	0.9130	0.84	69	0.625	0.7759	0.6923	58	0.8393	0.9276	0.8812	152	0.6316	0.8	0.7059	30	0.7812	0.8621	0.8197	29	0.7621	0.8817	0.8176	0.9585
0.0779	65.0	6890	0.1343	0.7683	0.9130	0.8344	69	0.625	0.7759	0.6923	58	0.8485	0.9211	0.8833	152	0.6316	0.8	0.7059	30	0.7812	0.8621	0.8197	29	0.7635	0.8787	0.8171	0.9590
0.0769	66.0	6996	0.1354	0.7683	0.9130	0.8344	69	0.6027	0.7586	0.6718	58	0.8485	0.9211	0.8833	152	0.6316	0.8	0.7059	30	0.7576	0.8621	0.8065	29	0.7570	0.8757	0.8121	0.9580
0.0738	67.0	7102	0.1397	0.7901	0.9275	0.8533	69	0.6081	0.7759	0.6818	58	0.8383	0.9211	0.8777	152	0.6579	0.8333	0.7353	30	0.7576	0.8621	0.8065	29	0.7608	0.8846	0.8181	0.9577
0.0758	68.0	7208	0.1368	0.7590	0.9130	0.8289	69	0.5946	0.7586	0.6667	58	0.8598	0.9276	0.8924	152	0.6410	0.8333	0.7246	30	0.7576	0.8621	0.8065	29	0.7583	0.8817	0.8153	0.9580
0.0772	69.0	7314	0.1326	0.7821	0.8841	0.8299	69	0.6286	0.7586	0.6875	58	0.8485	0.9211	0.8833	152	0.6667	0.8	0.7273	30	0.7812	0.8621	0.8197	29	0.7717	0.8698	0.8178	0.9595
0.0733	70.0	7420	0.1326	0.7821	0.8841	0.8299	69	0.6286	0.7586	0.6875	58	0.8494	0.9276	0.8868	152	0.6486	0.8	0.7164	30	0.7812	0.8621	0.8197	29	0.7702	0.8728	0.8183	0.9593
0.0744	71.0	7526	0.1298	0.7848	0.8986	0.8378	69	0.6338	0.7759	0.6977	58	0.8598	0.9276	0.8924	152	0.6389	0.7667	0.6970	30	0.7812	0.8621	0.8197	29	0.7749	0.8757	0.8222	0.9606
0.0748	72.0	7632	0.1274	0.7821	0.8841	0.8299	69	0.6232	0.7414	0.6772	58	0.8476	0.9145	0.8797	152	0.6216	0.7667	0.6866	30	0.7812	0.8621	0.8197	29	0.7658	0.8609	0.8106	0.9593
0.0741	73.0	7738	0.1280	0.7821	0.8841	0.8299	69	0.6232	0.7414	0.6772	58	0.8253	0.9013	0.8616	152	0.6216	0.7667	0.6866	30	0.7812	0.8621	0.8197	29	0.7565	0.8550	0.8028	0.9588
0.0743	74.0	7844	0.1388	0.7778	0.9130	0.84	69	0.6164	0.7759	0.6870	58	0.8434	0.9211	0.8805	152	0.6316	0.8	0.7059	30	0.7812	0.8621	0.8197	29	0.7615	0.8787	0.8159	0.9580
0.0726	75.0	7950	0.1335	0.7821	0.8841	0.8299	69	0.6377	0.7586	0.6929	58	0.8589	0.9211	0.8889	152	0.6316	0.8	0.7059	30	0.7576	0.8621	0.8065	29	0.7717	0.8698	0.8178	0.9590
0.0723	76.0	8056	0.1318	0.7722	0.8841	0.8243	69	0.6377	0.7586	0.6929	58	0.8485	0.9211	0.8833	152	0.6216	0.7667	0.6866	30	0.7812	0.8621	0.8197	29	0.7670	0.8669	0.8139	0.9588
0.0727	77.0	8162	0.1338	0.7821	0.8841	0.8299	69	0.6471	0.7586	0.6984	58	0.8434	0.9211	0.8805	152	0.6216	0.7667	0.6866	30	0.7812	0.8621	0.8197	29	0.7690	0.8669	0.8150	0.9590
0.0732	78.0	8268	0.1336	0.7821	0.8841	0.8299	69	0.6429	0.7759	0.7031	58	0.8373	0.9145	0.8742	152	0.6216	0.7667	0.6866	30	0.7812	0.8621	0.8197	29	0.7650	0.8669	0.8128	0.9590
0.0725	79.0	8374	0.1303	0.7821	0.8841	0.8299	69	0.6471	0.7586	0.6984	58	0.8466	0.9079	0.8762	152	0.6216	0.7667	0.6866	30	0.7812	0.8621	0.8197	29	0.7698	0.8609	0.8128	0.9595
0.0718	80.0	8480	0.1375	0.7778	0.9130	0.84	69	0.6338	0.7759	0.6977	58	0.8434	0.9211	0.8805	152	0.6053	0.7667	0.6765	30	0.7576	0.8621	0.8065	29	0.7609	0.8757	0.8143	0.9585
0.0722	81.0	8586	0.1344	0.7848	0.8986	0.8378	69	0.6522	0.7759	0.7087	58	0.8424	0.9145	0.8770	152	0.6154	0.8	0.6957	30	0.7812	0.8621	0.8197	29	0.7682	0.8728	0.8172	0.9590
0.0707	82.0	8692	0.1353	0.7848	0.8986	0.8378	69	0.6522	0.7759	0.7087	58	0.8424	0.9145	0.8770	152	0.6316	0.8	0.7059	30	0.7812	0.8621	0.8197	29	0.7702	0.8728	0.8183	0.9595
0.0717	83.0	8798	0.1314	0.7722	0.8841	0.8243	69	0.6418	0.7414	0.688	58	0.8303	0.9013	0.8644	152	0.6216	0.7667	0.6866	30	0.7812	0.8621	0.8197	29	0.7605	0.8550	0.8050	0.9580
0.0715	84.0	8904	0.1348	0.7821	0.8841	0.8299	69	0.6522	0.7759	0.7087	58	0.8424	0.9145	0.8770	152	0.6486	0.8	0.7164	30	0.7812	0.8621	0.8197	29	0.7717	0.8698	0.8178	0.9595
0.0708	85.0	9010	0.1344	0.7848	0.8986	0.8378	69	0.6338	0.7759	0.6977	58	0.8476	0.9145	0.8797	152	0.6316	0.8	0.7059	30	0.7812	0.8621	0.8197	29	0.7682	0.8728	0.8172	0.9590
0.0712	86.0	9116	0.1333	0.7821	0.8841	0.8299	69	0.6471	0.7586	0.6984	58	0.8424	0.9145	0.8770	152	0.6486	0.8	0.7164	30	0.7812	0.8621	0.8197	29	0.7711	0.8669	0.8162	0.9590
0.0702	87.0	9222	0.1361	0.7848	0.8986	0.8378	69	0.6429	0.7759	0.7031	58	0.8434	0.9211	0.8805	152	0.6486	0.8	0.7164	30	0.7812	0.8621	0.8197	29	0.7708	0.8757	0.8199	0.9595
0.0681	88.0	9328	0.1335	0.775	0.8986	0.8322	69	0.6429	0.7759	0.7031	58	0.8485	0.9211	0.8833	152	0.6216	0.7667	0.6866	30	0.7812	0.8621	0.8197	29	0.7682	0.8728	0.8172	0.9595
0.0693	89.0	9434	0.1345	0.7722	0.8841	0.8243	69	0.6377	0.7586	0.6929	58	0.8485	0.9211	0.8833	152	0.6486	0.8	0.7164	30	0.7576	0.8621	0.8065	29	0.7676	0.8698	0.8155	0.9590
0.0674	90.0	9540	0.1362	0.7722	0.8841	0.8243	69	0.6338	0.7759	0.6977	58	0.8485	0.9211	0.8833	152	0.6486	0.8	0.7164	30	0.7812	0.8621	0.8197	29	0.7682	0.8728	0.8172	0.9590
0.0703	91.0	9646	0.1353	0.7722	0.8841	0.8243	69	0.6429	0.7759	0.7031	58	0.8485	0.9211	0.8833	152	0.6316	0.8	0.7059	30	0.7812	0.8621	0.8197	29	0.7682	0.8728	0.8172	0.9588
0.0659	92.0	9752	0.1349	0.7821	0.8841	0.8299	69	0.6429	0.7759	0.7031	58	0.8424	0.9145	0.8770	152	0.6216	0.7667	0.6866	30	0.7812	0.8621	0.8197	29	0.7670	0.8669	0.8139	0.9588
0.0674	93.0	9858	0.1367	0.7821	0.8841	0.8299	69	0.6164	0.7759	0.6870	58	0.8424	0.9145	0.8770	152	0.6154	0.8	0.6957	30	0.7812	0.8621	0.8197	29	0.7597	0.8698	0.8110	0.9577
0.0673	94.0	9964	0.1321	0.7821	0.8841	0.8299	69	0.6377	0.7586	0.6929	58	0.8476	0.9145	0.8797	152	0.6216	0.7667	0.6866	30	0.7812	0.8621	0.8197	29	0.7684	0.8639	0.8134	0.9590
0.07	95.0	10070	0.1335	0.7821	0.8841	0.8299	69	0.6377	0.7586	0.6929	58	0.8424	0.9145	0.8770	152	0.6216	0.7667	0.6866	30	0.7812	0.8621	0.8197	29	0.7664	0.8639	0.8122	0.9588
0.0677	96.0	10176	0.1356	0.7722	0.8841	0.8243	69	0.6377	0.7586	0.6929	58	0.8424	0.9145	0.8770	152	0.5897	0.7667	0.6667	30	0.7576	0.8621	0.8065	29	0.7584	0.8639	0.8077	0.9575
0.0715	97.0	10282	0.1343	0.7821	0.8841	0.8299	69	0.6377	0.7586	0.6929	58	0.8424	0.9145	0.8770	152	0.6053	0.7667	0.6765	30	0.7812	0.8621	0.8197	29	0.7644	0.8639	0.8111	0.9583
0.0664	98.0	10388	0.1353	0.7722	0.8841	0.8243	69	0.6377	0.7586	0.6929	58	0.8424	0.9145	0.8770	152	0.6154	0.8	0.6957	30	0.7576	0.8621	0.8065	29	0.7610	0.8669	0.8105	0.9577
0.0666	99.0	10494	0.1354	0.7722	0.8841	0.8243	69	0.6377	0.7586	0.6929	58	0.8424	0.9145	0.8770	152	0.6154	0.8	0.6957	30	0.7576	0.8621	0.8065	29	0.7610	0.8669	0.8105	0.9577
0.0675	100.0	10600	0.1358	0.7722	0.8841	0.8243	69	0.6377	0.7586	0.6929	58	0.8424	0.9145	0.8770	152	0.6154	0.8	0.6957	30	0.7576	0.8621	0.8065	29	0.7610	0.8669	0.8105	0.9577

Framework versions

Transformers 4.39.3
Pytorch 2.3.0+cu121
Datasets 2.19.1
Tokenizers 0.15.2

apwic/nerugm-lora-r16-0

nerugm-lora-r16-0

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

apwic/
nerugm-lora-r16-0