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apwic/
nerugm-pt-pl20-0

tensorboard

generated_from_trainer

indolem/indobert-base-uncased

finetune

mit

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nerugm-pt-pl20-0

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: 0.1902
Location Precision: 0.8158
Location Recall: 0.8986
Location F1: 0.8552
Location Number: 69
Organization Precision: 0.6957
Organization Recall: 0.8276
Organization F1: 0.7559
Organization Number: 58
Person Precision: 0.8571
Person Recall: 0.9079
Person F1: 0.8818
Person Number: 152
Quantity Precision: 0.7059
Quantity Recall: 0.8
Quantity F1: 0.7500
Quantity Number: 30
Time Precision: 0.7576
Time Recall: 0.8621
Time F1: 0.8065
Time Number: 29
Overall Precision: 0.7962
Overall Recall: 0.8787
Overall F1: 0.8354
Overall Accuracy: 0.9618

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
0.9775	1.0	106	0.5662	0.0	0.0	0.0	69	0.0	0.0	0.0	58	0.2143	0.0197	0.0361	152	0.0	0.0	0.0	30	1.0	0.0345	0.0667	29	0.1818	0.0118	0.0222	0.8428
0.4848	2.0	212	0.3300	0.4783	0.1594	0.2391	69	0.2143	0.1034	0.1395	58	0.5849	0.8158	0.6813	152	0.0714	0.0333	0.0455	30	0.625	0.6897	0.6557	29	0.5243	0.4793	0.5008	0.9024
0.3093	3.0	318	0.2275	0.5213	0.7101	0.6012	69	0.3810	0.5517	0.4507	58	0.7432	0.8947	0.8119	152	0.5	0.7333	0.5946	30	0.7576	0.8621	0.8065	29	0.6027	0.7811	0.6804	0.9265
0.2114	4.0	424	0.2064	0.6044	0.7971	0.6875	69	0.4918	0.5172	0.5042	58	0.7650	0.9211	0.8358	152	0.4490	0.7333	0.5570	30	0.5349	0.7931	0.6389	29	0.6323	0.7988	0.7059	0.9316
0.1833	5.0	530	0.1553	0.7260	0.7681	0.7465	69	0.5556	0.7759	0.6475	58	0.8081	0.9145	0.8580	152	0.5349	0.7667	0.6301	30	0.8125	0.8966	0.8525	29	0.7132	0.8462	0.7740	0.9472
0.1578	6.0	636	0.1649	0.6932	0.8841	0.7771	69	0.5733	0.7414	0.6466	58	0.8092	0.9211	0.8615	152	0.5682	0.8333	0.6757	30	0.575	0.7931	0.6667	29	0.6952	0.8639	0.7704	0.9444
0.1468	7.0	742	0.1410	0.7294	0.8986	0.8052	69	0.5823	0.7931	0.6715	58	0.8274	0.9145	0.8687	152	0.5952	0.8333	0.6944	30	0.8333	0.8621	0.8475	29	0.7351	0.8787	0.8005	0.9544
0.1374	8.0	848	0.1509	0.7625	0.8841	0.8188	69	0.6234	0.8276	0.7111	58	0.8434	0.9211	0.8805	152	0.5952	0.8333	0.6944	30	0.5789	0.7586	0.6567	29	0.7345	0.8757	0.7989	0.9501
0.1338	9.0	954	0.1373	0.8182	0.9130	0.8630	69	0.6515	0.7414	0.6935	58	0.8393	0.9276	0.8812	152	0.6316	0.8	0.7059	30	0.7879	0.8966	0.8387	29	0.7775	0.8787	0.8250	0.9565
0.1207	10.0	1060	0.1364	0.7349	0.8841	0.8026	69	0.6667	0.7931	0.7244	58	0.8598	0.9276	0.8924	152	0.6	0.8	0.6857	30	0.7812	0.8621	0.8197	29	0.7655	0.8787	0.8182	0.9560
0.1175	11.0	1166	0.1448	0.6889	0.8986	0.7799	69	0.6912	0.8103	0.7460	58	0.8642	0.9211	0.8917	152	0.5106	0.8	0.6234	30	0.6389	0.7931	0.7077	29	0.7345	0.8757	0.7989	0.9536
0.1116	12.0	1272	0.1337	0.7317	0.8696	0.7947	69	0.6479	0.7931	0.7132	58	0.8395	0.8947	0.8662	152	0.7143	0.8333	0.7692	30	0.8333	0.8621	0.8475	29	0.7684	0.8639	0.8134	0.9575
0.1083	13.0	1378	0.1300	0.8052	0.8986	0.8493	69	0.6667	0.8276	0.7385	58	0.8519	0.9079	0.8790	152	0.7143	0.8333	0.7692	30	0.7812	0.8621	0.8197	29	0.7884	0.8817	0.8324	0.9606
0.1047	14.0	1484	0.1270	0.8082	0.8551	0.8310	69	0.6615	0.7414	0.6992	58	0.8580	0.9145	0.8854	152	0.6857	0.8	0.7385	30	0.7059	0.8276	0.7619	29	0.7832	0.8550	0.8175	0.9593
0.1001	15.0	1590	0.1409	0.7683	0.9130	0.8344	69	0.6271	0.6379	0.6325	58	0.8383	0.9211	0.8777	152	0.6154	0.8	0.6957	30	0.6970	0.7931	0.7419	29	0.7553	0.8491	0.7994	0.9565
0.1023	16.0	1696	0.1392	0.7654	0.8986	0.8267	69	0.6806	0.8448	0.7538	58	0.8415	0.9079	0.8734	152	0.6857	0.8	0.7385	30	0.6970	0.7931	0.7419	29	0.7688	0.8757	0.8188	0.9593
0.0943	17.0	1802	0.1366	0.7439	0.8841	0.8079	69	0.6438	0.8103	0.7176	58	0.8790	0.9079	0.8932	152	0.6316	0.8	0.7059	30	0.6970	0.7931	0.7419	29	0.7650	0.8669	0.8128	0.9580
0.0907	18.0	1908	0.1363	0.7407	0.8696	0.8000	69	0.6567	0.7586	0.7040	58	0.8782	0.9013	0.8896	152	0.6667	0.8	0.7273	30	0.7188	0.7931	0.7541	29	0.7742	0.8521	0.8113	0.9590
0.0905	19.0	2014	0.1237	0.8	0.8696	0.8333	69	0.6567	0.7586	0.7040	58	0.8385	0.8882	0.8626	152	0.6857	0.8	0.7385	30	0.8333	0.8621	0.8475	29	0.7826	0.8521	0.8159	0.9621
0.0837	20.0	2120	0.1285	0.8611	0.8986	0.8794	69	0.6849	0.8621	0.7634	58	0.8476	0.9145	0.8797	152	0.6667	0.8	0.7273	30	0.7188	0.7931	0.7541	29	0.7905	0.8817	0.8336	0.9634
0.0823	21.0	2226	0.1340	0.7922	0.8841	0.8356	69	0.7	0.8448	0.7656	58	0.8704	0.9276	0.8981	152	0.6667	0.8	0.7273	30	0.7188	0.7931	0.7541	29	0.7905	0.8817	0.8336	0.9608
0.0818	22.0	2332	0.1327	0.7848	0.8986	0.8378	69	0.6753	0.8966	0.7704	58	0.8634	0.9145	0.8882	152	0.6857	0.8	0.7385	30	0.7576	0.8621	0.8065	29	0.7844	0.8935	0.8354	0.9616
0.081	23.0	2438	0.1308	0.8611	0.8986	0.8794	69	0.7059	0.8276	0.7619	58	0.8642	0.9211	0.8917	152	0.6667	0.8	0.7273	30	0.7742	0.8276	0.8000	29	0.8076	0.8817	0.8430	0.9634
0.0769	24.0	2544	0.1346	0.8267	0.8986	0.8611	69	0.7059	0.8276	0.7619	58	0.8704	0.9276	0.8981	152	0.6857	0.8	0.7385	30	0.7812	0.8621	0.8197	29	0.8065	0.8876	0.8451	0.9641
0.0746	25.0	2650	0.1360	0.84	0.9130	0.8750	69	0.6267	0.8103	0.7068	58	0.8580	0.9145	0.8854	152	0.6486	0.8	0.7164	30	0.8065	0.8621	0.8333	29	0.7842	0.8817	0.8301	0.9611
0.0721	26.0	2756	0.1336	0.8493	0.8986	0.8732	69	0.6479	0.7931	0.7132	58	0.8671	0.9013	0.8839	152	0.6667	0.8	0.7273	30	0.8065	0.8621	0.8333	29	0.7967	0.8698	0.8317	0.9629
0.0689	27.0	2862	0.1370	0.8194	0.8551	0.8369	69	0.6203	0.8448	0.7153	58	0.8562	0.9013	0.8782	152	0.7059	0.8	0.7500	30	0.7812	0.8621	0.8197	29	0.7798	0.8698	0.8224	0.9601
0.072	28.0	2968	0.1495	0.8133	0.8841	0.8472	69	0.6471	0.7586	0.6984	58	0.8704	0.9276	0.8981	152	0.6	0.8	0.6857	30	0.7059	0.8276	0.7619	29	0.7757	0.8698	0.8201	0.9570
0.0679	29.0	3074	0.1489	0.7625	0.8841	0.8188	69	0.6282	0.8448	0.7206	58	0.8562	0.9013	0.8782	152	0.7059	0.8	0.7500	30	0.7576	0.8621	0.8065	29	0.7688	0.8757	0.8188	0.9588
0.0661	30.0	3180	0.1326	0.8133	0.8841	0.8472	69	0.6462	0.7241	0.6829	58	0.8616	0.9013	0.8810	152	0.7059	0.8	0.7500	30	0.8065	0.8621	0.8333	29	0.7940	0.8550	0.8234	0.9636
0.0619	31.0	3286	0.1410	0.8378	0.8986	0.8671	69	0.6984	0.7586	0.7273	58	0.8625	0.9079	0.8846	152	0.7059	0.8	0.7500	30	0.7812	0.8621	0.8197	29	0.8072	0.8669	0.8359	0.9626
0.0637	32.0	3392	0.1405	0.8052	0.8986	0.8493	69	0.6515	0.7414	0.6935	58	0.8782	0.9013	0.8896	152	0.6667	0.8	0.7273	30	0.7812	0.8621	0.8197	29	0.7929	0.8609	0.8255	0.9618
0.062	33.0	3498	0.1478	0.7949	0.8986	0.8435	69	0.6562	0.7241	0.6885	58	0.8580	0.9145	0.8854	152	0.7059	0.8	0.7500	30	0.7273	0.8276	0.7742	29	0.7844	0.8609	0.8209	0.9613
0.0602	34.0	3604	0.1560	0.7692	0.8696	0.8163	69	0.7	0.8448	0.7656	58	0.8519	0.9079	0.8790	152	0.7059	0.8	0.7500	30	0.7353	0.8621	0.7937	29	0.7831	0.8757	0.8268	0.9588
0.0591	35.0	3710	0.1516	0.7531	0.8841	0.8133	69	0.6901	0.8448	0.7597	58	0.8625	0.9079	0.8846	152	0.6857	0.8	0.7385	30	0.7419	0.7931	0.7667	29	0.7804	0.8728	0.8240	0.9611
0.058	36.0	3816	0.1622	0.8611	0.8986	0.8794	69	0.6456	0.8793	0.7445	58	0.8704	0.9276	0.8981	152	0.7059	0.8	0.7500	30	0.7812	0.8621	0.8197	29	0.7995	0.8964	0.8452	0.9572
0.0579	37.0	3922	0.1531	0.7595	0.8696	0.8108	69	0.6716	0.7759	0.7200	58	0.8580	0.9145	0.8854	152	0.6857	0.8	0.7385	30	0.8065	0.8621	0.8333	29	0.7834	0.8669	0.8230	0.9618
0.0544	38.0	4028	0.1513	0.8182	0.9130	0.8630	69	0.6389	0.7931	0.7077	58	0.8424	0.9145	0.8770	152	0.6486	0.8	0.7164	30	0.7812	0.8621	0.8197	29	0.7755	0.8787	0.8239	0.9616
0.0543	39.0	4134	0.1568	0.8052	0.8986	0.8493	69	0.6857	0.8276	0.75	58	0.8476	0.9145	0.8797	152	0.7059	0.8	0.7500	30	0.75	0.8276	0.7869	29	0.7878	0.8787	0.8308	0.9613
0.0541	40.0	4240	0.1516	0.8243	0.8841	0.8531	69	0.6944	0.8621	0.7692	58	0.8742	0.9145	0.8939	152	0.7059	0.8	0.7500	30	0.7273	0.8276	0.7742	29	0.8011	0.8817	0.8394	0.9601
0.0486	41.0	4346	0.1603	0.8286	0.8406	0.8345	69	0.7042	0.8621	0.7752	58	0.8589	0.9211	0.8889	152	0.7059	0.8	0.7500	30	0.8333	0.8621	0.8475	29	0.8071	0.8787	0.8414	0.9593
0.0528	42.0	4452	0.1503	0.8356	0.8841	0.8592	69	0.7042	0.8621	0.7752	58	0.8734	0.9079	0.8903	152	0.7059	0.8	0.7500	30	0.7576	0.8621	0.8065	29	0.8076	0.8817	0.8430	0.9629
0.0497	43.0	4558	0.1595	0.8219	0.8696	0.8451	69	0.7188	0.7931	0.7541	58	0.8679	0.9079	0.8875	152	0.7059	0.8	0.7500	30	0.7812	0.8621	0.8197	29	0.8094	0.8669	0.8371	0.9616
0.0512	44.0	4664	0.1705	0.7625	0.8841	0.8188	69	0.64	0.8276	0.7218	58	0.8424	0.9145	0.8770	152	0.7059	0.8	0.7500	30	0.7812	0.8621	0.8197	29	0.7694	0.8787	0.8204	0.9577
0.0454	45.0	4770	0.1562	0.8219	0.8696	0.8451	69	0.7302	0.7931	0.7603	58	0.8671	0.9013	0.8839	152	0.7059	0.8	0.7500	30	0.7812	0.8621	0.8197	29	0.8111	0.8639	0.8367	0.9618
0.0451	46.0	4876	0.1602	0.8052	0.8986	0.8493	69	0.6575	0.8276	0.7328	58	0.875	0.9211	0.8974	152	0.6667	0.8	0.7273	30	0.7576	0.8621	0.8065	29	0.7889	0.8846	0.8340	0.9616
0.047	47.0	4982	0.1604	0.7895	0.8696	0.8276	69	0.6667	0.8276	0.7385	58	0.8790	0.9079	0.8932	152	0.7059	0.8	0.7500	30	0.7576	0.8621	0.8065	29	0.7930	0.8728	0.8310	0.9611
0.0439	48.0	5088	0.1613	0.8133	0.8841	0.8472	69	0.7460	0.8103	0.7769	58	0.8634	0.9145	0.8882	152	0.6857	0.8	0.7385	30	0.75	0.8276	0.7869	29	0.8060	0.8728	0.8381	0.9616
0.0451	49.0	5194	0.1852	0.7531	0.8841	0.8133	69	0.5714	0.8276	0.6761	58	0.8679	0.9079	0.8875	152	0.6857	0.8	0.7385	30	0.75	0.8276	0.7869	29	0.7545	0.8728	0.8093	0.9511
0.0441	50.0	5300	0.1629	0.8026	0.8841	0.8414	69	0.6923	0.7759	0.7317	58	0.8671	0.9013	0.8839	152	0.7273	0.8	0.7619	30	0.8125	0.8966	0.8525	29	0.8049	0.8669	0.8348	0.9606
0.0438	51.0	5406	0.1646	0.8219	0.8696	0.8451	69	0.6806	0.8448	0.7538	58	0.8625	0.9079	0.8846	152	0.7273	0.8	0.7619	30	0.7742	0.8276	0.8000	29	0.7995	0.8728	0.8345	0.9608
0.0429	52.0	5512	0.1735	0.8219	0.8696	0.8451	69	0.6282	0.8448	0.7206	58	0.8571	0.9079	0.8818	152	0.7059	0.8	0.7500	30	0.7273	0.8276	0.7742	29	0.7784	0.8728	0.8229	0.9575
0.0421	53.0	5618	0.1621	0.8194	0.8551	0.8369	69	0.6986	0.8793	0.7786	58	0.8625	0.9079	0.8846	152	0.7273	0.8	0.7619	30	0.75	0.8276	0.7869	29	0.8	0.8757	0.8362	0.9618
0.0399	54.0	5724	0.1734	0.7895	0.8696	0.8276	69	0.6812	0.8103	0.7402	58	0.8466	0.9079	0.8762	152	0.7273	0.8	0.7619	30	0.7812	0.8621	0.8197	29	0.7882	0.8698	0.8270	0.9603
0.0431	55.0	5830	0.1641	0.8194	0.8551	0.8369	69	0.6857	0.8276	0.75	58	0.8861	0.9211	0.9032	152	0.7273	0.8	0.7619	30	0.8333	0.8621	0.8475	29	0.8154	0.8757	0.8445	0.9616
0.0397	56.0	5936	0.1687	0.8108	0.8696	0.8392	69	0.7049	0.7414	0.7227	58	0.8688	0.9145	0.8910	152	0.6857	0.8	0.7385	30	0.7576	0.8621	0.8065	29	0.8017	0.8609	0.8302	0.9598
0.0367	57.0	6042	0.1653	0.8133	0.8841	0.8472	69	0.6769	0.7586	0.7154	58	0.875	0.9211	0.8974	152	0.7273	0.8	0.7619	30	0.7812	0.8621	0.8197	29	0.8055	0.8698	0.8364	0.9613
0.0387	58.0	6148	0.1771	0.8052	0.8986	0.8493	69	0.6622	0.8448	0.7424	58	0.8679	0.9079	0.8875	152	0.7273	0.8	0.7619	30	0.8	0.8276	0.8136	29	0.7962	0.8787	0.8354	0.9585
0.0385	59.0	6254	0.1702	0.8077	0.9130	0.8571	69	0.6714	0.8103	0.7344	58	0.8696	0.9211	0.8946	152	0.7273	0.8	0.7619	30	0.7576	0.8621	0.8065	29	0.7973	0.8846	0.8387	0.9613
0.0373	60.0	6360	0.1737	0.8077	0.9130	0.8571	69	0.7	0.8448	0.7656	58	0.8696	0.9211	0.8946	152	0.7059	0.8	0.7500	30	0.7742	0.8276	0.8000	29	0.8021	0.8876	0.8427	0.9613
0.0382	61.0	6466	0.1632	0.8	0.8696	0.8333	69	0.6667	0.7241	0.6942	58	0.8688	0.9145	0.8910	152	0.7273	0.8	0.7619	30	0.8276	0.8276	0.8276	29	0.8028	0.8550	0.8281	0.9621
0.0367	62.0	6572	0.1705	0.8158	0.8986	0.8552	69	0.6912	0.8103	0.7460	58	0.8797	0.9145	0.8968	152	0.6857	0.8	0.7385	30	0.7742	0.8276	0.8000	29	0.8043	0.8757	0.8385	0.9613
0.0357	63.0	6678	0.1700	0.8356	0.8841	0.8592	69	0.6852	0.6379	0.6607	58	0.8616	0.9013	0.8810	152	0.7353	0.8333	0.7812	30	0.8333	0.8621	0.8475	29	0.8143	0.8432	0.8285	0.9618
0.0359	64.0	6784	0.1739	0.8158	0.8986	0.8552	69	0.6712	0.8448	0.7481	58	0.8634	0.9145	0.8882	152	0.7059	0.8	0.7500	30	0.75	0.8276	0.7869	29	0.7926	0.8817	0.8347	0.9613
0.0313	65.0	6890	0.1798	0.7922	0.8841	0.8356	69	0.7101	0.8448	0.7717	58	0.8476	0.9145	0.8797	152	0.7059	0.8	0.7500	30	0.7576	0.8621	0.8065	29	0.7905	0.8817	0.8336	0.9618
0.0341	66.0	6996	0.1790	0.8267	0.8986	0.8611	69	0.6866	0.7931	0.736	58	0.8364	0.9079	0.8707	152	0.7059	0.8	0.7500	30	0.7879	0.8966	0.8387	29	0.7914	0.8757	0.8315	0.9608
0.0348	67.0	7102	0.1764	0.7922	0.8841	0.8356	69	0.6528	0.8103	0.7231	58	0.8476	0.9145	0.8797	152	0.7059	0.8	0.7500	30	0.7879	0.8966	0.8387	29	0.7816	0.8787	0.8273	0.9606
0.0352	68.0	7208	0.1702	0.8052	0.8986	0.8493	69	0.7164	0.8276	0.768	58	0.8846	0.9079	0.8961	152	0.7059	0.8	0.7500	30	0.7353	0.8621	0.7937	29	0.8071	0.8787	0.8414	0.9644
0.0333	69.0	7314	0.1720	0.8052	0.8986	0.8493	69	0.6765	0.7931	0.7302	58	0.8562	0.9013	0.8782	152	0.7059	0.8	0.7500	30	0.7576	0.8621	0.8065	29	0.7903	0.8698	0.8282	0.9603
0.0325	70.0	7420	0.1798	0.7922	0.8841	0.8356	69	0.6714	0.8103	0.7344	58	0.8589	0.9211	0.8889	152	0.7059	0.8	0.7500	30	0.7576	0.8621	0.8065	29	0.7878	0.8787	0.8308	0.9603
0.0345	71.0	7526	0.1763	0.8108	0.8696	0.8392	69	0.6857	0.8276	0.75	58	0.8616	0.9013	0.8810	152	0.6765	0.7667	0.7188	30	0.7576	0.8621	0.8065	29	0.7919	0.8669	0.8277	0.9613
0.0314	72.0	7632	0.1739	0.8133	0.8841	0.8472	69	0.7018	0.6897	0.6957	58	0.8625	0.9079	0.8846	152	0.7059	0.8	0.7500	30	0.7353	0.8621	0.7937	29	0.8	0.8521	0.8252	0.9618
0.0321	73.0	7738	0.1832	0.8052	0.8986	0.8493	69	0.7101	0.8448	0.7717	58	0.8580	0.9145	0.8854	152	0.7273	0.8	0.7619	30	0.7879	0.8966	0.8387	29	0.8021	0.8876	0.8427	0.9618
0.0308	74.0	7844	0.1869	0.7949	0.8986	0.8435	69	0.6912	0.8103	0.7460	58	0.8509	0.9013	0.8754	152	0.7059	0.8	0.7500	30	0.7273	0.8276	0.7742	29	0.7861	0.8698	0.8258	0.9595
0.0316	75.0	7950	0.1842	0.8052	0.8986	0.8493	69	0.6912	0.8103	0.7460	58	0.8679	0.9079	0.8875	152	0.7059	0.8	0.7500	30	0.7353	0.8621	0.7937	29	0.7957	0.8757	0.8338	0.9598
0.0303	76.0	8056	0.1888	0.8158	0.8986	0.8552	69	0.6438	0.8103	0.7176	58	0.8528	0.9145	0.8825	152	0.7059	0.8	0.7500	30	0.7353	0.8621	0.7937	29	0.7816	0.8787	0.8273	0.9588
0.0311	77.0	8162	0.1830	0.8378	0.8986	0.8671	69	0.7206	0.8448	0.7778	58	0.8742	0.9145	0.8939	152	0.7059	0.8	0.7500	30	0.7353	0.8621	0.7937	29	0.8103	0.8846	0.8458	0.9639
0.0321	78.0	8268	0.1817	0.8158	0.8986	0.8552	69	0.6812	0.8103	0.7402	58	0.8734	0.9079	0.8903	152	0.7059	0.8	0.7500	30	0.7353	0.8621	0.7937	29	0.7978	0.8757	0.8350	0.9624
0.0282	79.0	8374	0.1787	0.8243	0.8841	0.8531	69	0.6957	0.8276	0.7559	58	0.8679	0.9079	0.8875	152	0.7059	0.8	0.7500	30	0.7879	0.8966	0.8387	29	0.8049	0.8787	0.8402	0.9626
0.0299	80.0	8480	0.1872	0.7922	0.8841	0.8356	69	0.6765	0.7931	0.7302	58	0.8528	0.9145	0.8825	152	0.7059	0.8	0.7500	30	0.7576	0.8621	0.8065	29	0.7867	0.8728	0.8275	0.9585
0.0287	81.0	8586	0.1829	0.8182	0.9130	0.8630	69	0.7121	0.8103	0.7581	58	0.8580	0.9145	0.8854	152	0.7059	0.8	0.7500	30	0.7353	0.8621	0.7937	29	0.7989	0.8817	0.8383	0.9621
0.0288	82.0	8692	0.1831	0.8267	0.8986	0.8611	69	0.6389	0.7931	0.7077	58	0.8679	0.9079	0.8875	152	0.7059	0.8	0.7500	30	0.7879	0.8966	0.8387	29	0.7936	0.8757	0.8326	0.9611
0.0265	83.0	8798	0.1842	0.8158	0.8986	0.8552	69	0.6812	0.8103	0.7402	58	0.8625	0.9079	0.8846	152	0.7059	0.8	0.7500	30	0.7812	0.8621	0.8197	29	0.7978	0.8757	0.8350	0.9618
0.0284	84.0	8904	0.1857	0.8052	0.8986	0.8493	69	0.7077	0.7931	0.7480	58	0.8688	0.9145	0.8910	152	0.7059	0.8	0.7500	30	0.8125	0.8966	0.8525	29	0.8071	0.8787	0.8414	0.9626
0.031	85.0	9010	0.1889	0.8267	0.8986	0.8611	69	0.6857	0.8276	0.75	58	0.8634	0.9145	0.8882	152	0.7059	0.8	0.7500	30	0.7353	0.8621	0.7937	29	0.7968	0.8817	0.8371	0.9606
0.0267	86.0	9116	0.1885	0.8267	0.8986	0.8611	69	0.7059	0.8276	0.7619	58	0.8519	0.9079	0.8790	152	0.7059	0.8	0.7500	30	0.7576	0.8621	0.8065	29	0.7984	0.8787	0.8366	0.9603
0.029	87.0	9222	0.1881	0.8026	0.8841	0.8414	69	0.6818	0.7759	0.7258	58	0.8580	0.9145	0.8854	152	0.7059	0.8	0.7500	30	0.7576	0.8621	0.8065	29	0.7925	0.8698	0.8293	0.9601
0.0269	88.0	9328	0.1848	0.8133	0.8841	0.8472	69	0.6818	0.7759	0.7258	58	0.8625	0.9079	0.8846	152	0.7059	0.8	0.7500	30	0.7879	0.8966	0.8387	29	0.7989	0.8698	0.8329	0.9611
0.0268	89.0	9434	0.1855	0.8133	0.8841	0.8472	69	0.6957	0.8276	0.7559	58	0.8519	0.9079	0.8790	152	0.7059	0.8	0.7500	30	0.7576	0.8621	0.8065	29	0.7936	0.8757	0.8326	0.9613
0.0243	90.0	9540	0.1872	0.8158	0.8986	0.8552	69	0.6857	0.8276	0.75	58	0.8580	0.9145	0.8854	152	0.7059	0.8	0.7500	30	0.7879	0.8966	0.8387	29	0.7973	0.8846	0.8387	0.9624
0.0263	91.0	9646	0.1859	0.8133	0.8841	0.8472	69	0.6857	0.8276	0.75	58	0.8634	0.9145	0.8882	152	0.7059	0.8	0.7500	30	0.7576	0.8621	0.8065	29	0.7962	0.8787	0.8354	0.9624
0.0282	92.0	9752	0.1882	0.8158	0.8986	0.8552	69	0.6761	0.8276	0.7442	58	0.8634	0.9145	0.8882	152	0.7059	0.8	0.7500	30	0.7576	0.8621	0.8065	29	0.7947	0.8817	0.8359	0.9616
0.0252	93.0	9858	0.1924	0.8158	0.8986	0.8552	69	0.7	0.8448	0.7656	58	0.8580	0.9145	0.8854	152	0.7059	0.8	0.7500	30	0.7576	0.8621	0.8065	29	0.7973	0.8846	0.8387	0.9616
0.0256	94.0	9964	0.1857	0.8243	0.8841	0.8531	69	0.6957	0.8276	0.7559	58	0.8625	0.9079	0.8846	152	0.7059	0.8	0.7500	30	0.7576	0.8621	0.8065	29	0.8	0.8757	0.8362	0.9618
0.0257	95.0	10070	0.1871	0.8158	0.8986	0.8552	69	0.6957	0.8276	0.7559	58	0.8625	0.9079	0.8846	152	0.7059	0.8	0.7500	30	0.7812	0.8621	0.8197	29	0.8005	0.8787	0.8378	0.9621
0.0245	96.0	10176	0.1873	0.8158	0.8986	0.8552	69	0.7059	0.8276	0.7619	58	0.8519	0.9079	0.8790	152	0.7059	0.8	0.7500	30	0.7576	0.8621	0.8065	29	0.7962	0.8787	0.8354	0.9621
0.026	97.0	10282	0.1885	0.8052	0.8986	0.8493	69	0.6957	0.8276	0.7559	58	0.8571	0.9079	0.8818	152	0.7059	0.8	0.7500	30	0.7576	0.8621	0.8065	29	0.7941	0.8787	0.8343	0.9621
0.0246	98.0	10388	0.1889	0.8158	0.8986	0.8552	69	0.6957	0.8276	0.7559	58	0.8571	0.9079	0.8818	152	0.7059	0.8	0.7500	30	0.7576	0.8621	0.8065	29	0.7962	0.8787	0.8354	0.9618
0.0253	99.0	10494	0.1911	0.8158	0.8986	0.8552	69	0.7	0.8448	0.7656	58	0.8457	0.9013	0.8726	152	0.7059	0.8	0.7500	30	0.7576	0.8621	0.8065	29	0.792	0.8787	0.8331	0.9613
0.0242	100.0	10600	0.1902	0.8158	0.8986	0.8552	69	0.6957	0.8276	0.7559	58	0.8571	0.9079	0.8818	152	0.7059	0.8	0.7500	30	0.7576	0.8621	0.8065	29	0.7962	0.8787	0.8354	0.9618

Framework versions

Transformers 4.39.3
Pytorch 2.3.0+cu121
Datasets 2.19.1
Tokenizers 0.15.2

apwic/nerugm-pt-pl20-0

nerugm-pt-pl20-0

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

apwic/
nerugm-pt-pl20-0