GS_bert6

This model is a fine-tuned version of biblo0507/GS_bert5 on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.0767
• F1: 0.7566
• Precision: 0.7889
• Recall: 0.7324

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: 16
• seed: 42
• optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 500
• num_epochs: 350

Training results

Training Loss	Epoch	Step	Validation Loss	F1	Precision	Recall
0.6976	1.0	45	0.6652	0.0362	0.0370	0.0356
0.5367	2.0	90	0.4968	0.0304	0.0315	0.0296
0.3908	3.0	135	0.3498	0.0320	0.0333	0.0310
0.2893	4.0	180	0.2675	0.0354	0.0370	0.0343
0.2385	5.0	225	0.2163	0.0392	0.0407	0.0380
0.2016	6.0	270	0.1877	0.0460	0.0481	0.0444
0.1847	7.0	315	0.1733	0.0336	0.0352	0.0324
0.1751	8.0	360	0.1663	0.0336	0.0352	0.0324
0.1696	9.0	405	0.1631	0.0360	0.0370	0.0352
0.1695	10.0	450	0.1614	0.0484	0.05	0.0472
0.1666	11.0	495	0.1597	0.0939	0.0981	0.0907
0.1626	12.0	540	0.1565	0.1542	0.1630	0.1477
0.157	13.0	585	0.1519	0.2873	0.3019	0.2764
0.151	14.0	630	0.1463	0.3532	0.3685	0.3417
0.1451	15.0	675	0.1407	0.4304	0.45	0.4157
0.1394	16.0	720	0.1367	0.4529	0.4722	0.4384
0.134	17.0	765	0.1317	0.5127	0.5352	0.4958
0.1273	18.0	810	0.1275	0.5534	0.5778	0.5352
0.1212	19.0	855	0.1245	0.5770	0.6019	0.5583
0.1167	20.0	900	0.1207	0.5992	0.6259	0.5792
0.1145	21.0	945	0.1177	0.6153	0.6426	0.5949
0.1089	22.0	990	0.1146	0.6259	0.6537	0.6051
0.1045	23.0	1035	0.1118	0.6378	0.6667	0.6162
0.1023	24.0	1080	0.1088	0.6614	0.6907	0.6394
0.0963	25.0	1125	0.1059	0.6770	0.7074	0.6542
0.0923	26.0	1170	0.1041	0.6630	0.6926	0.6407
0.0874	27.0	1215	0.1017	0.6725	0.7019	0.6505
0.0852	28.0	1260	0.0999	0.6794	0.7093	0.6569
0.0838	29.0	1305	0.0973	0.6905	0.7204	0.6681
0.0788	30.0	1350	0.0955	0.7005	0.7315	0.6773
0.0753	31.0	1395	0.0935	0.7098	0.7407	0.6866
0.0739	32.0	1440	0.0921	0.6979	0.7278	0.6755
0.0701	33.0	1485	0.0905	0.7146	0.7463	0.6907
0.0692	34.0	1530	0.0889	0.7188	0.75	0.6954
0.0635	35.0	1575	0.0872	0.7257	0.7574	0.7019
0.0625	36.0	1620	0.0861	0.7135	0.7444	0.6903
0.0618	37.0	1665	0.0848	0.7267	0.7593	0.7023
0.0606	38.0	1710	0.0833	0.7257	0.7574	0.7019
0.056	39.0	1755	0.0825	0.7230	0.7556	0.6986
0.0544	40.0	1800	0.0813	0.7312	0.7630	0.7074
0.0541	41.0	1845	0.0803	0.7381	0.7704	0.7139
0.0514	42.0	1890	0.0794	0.7249	0.7574	0.7005
0.05	43.0	1935	0.0782	0.7304	0.7611	0.7074
0.0488	44.0	1980	0.0769	0.7384	0.7704	0.7144
0.0455	45.0	2025	0.0763	0.7357	0.7667	0.7125
0.0455	46.0	2070	0.0753	0.7455	0.7778	0.7213
0.0438	47.0	2115	0.0749	0.7405	0.7722	0.7167
0.0418	48.0	2160	0.0739	0.7476	0.7796	0.7236
0.0412	49.0	2205	0.0735	0.7442	0.7759	0.7204
0.0404	50.0	2250	0.0720	0.7423	0.7741	0.7185
0.0395	51.0	2295	0.0723	0.7455	0.7778	0.7213
0.0376	52.0	2340	0.0707	0.7405	0.7722	0.7167
0.0368	53.0	2385	0.0706	0.7460	0.7778	0.7222
0.0347	54.0	2430	0.0695	0.7553	0.7870	0.7315
0.0337	55.0	2475	0.0697	0.7489	0.7815	0.7245
0.0345	56.0	2520	0.0689	0.7595	0.7926	0.7347
0.0334	57.0	2565	0.0684	0.7532	0.7852	0.7292
0.0319	58.0	2610	0.0687	0.7508	0.7833	0.7264
0.0316	59.0	2655	0.0674	0.7516	0.7833	0.7278
0.0297	60.0	2700	0.0672	0.7487	0.7815	0.7241
0.0292	61.0	2745	0.0670	0.7508	0.7833	0.7264
0.028	62.0	2790	0.0660	0.7471	0.7796	0.7227
0.0279	63.0	2835	0.0659	0.7489	0.7815	0.7245
0.0271	64.0	2880	0.0658	0.7426	0.7741	0.7190
0.0251	65.0	2925	0.0652	0.7458	0.7778	0.7218
0.0258	66.0	2970	0.0657	0.7479	0.7796	0.7241
0.0254	67.0	3015	0.0642	0.7481	0.7796	0.7245
0.024	68.0	3060	0.0648	0.7437	0.7759	0.7194
0.0239	69.0	3105	0.0634	0.7511	0.7833	0.7269
0.0225	70.0	3150	0.0636	0.7548	0.7870	0.7306
0.0225	71.0	3195	0.0640	0.7431	0.7741	0.7199
0.0222	72.0	3240	0.0643	0.7389	0.7704	0.7153
0.021	73.0	3285	0.0653	0.7489	0.7815	0.7245
0.0209	74.0	3330	0.0638	0.7635	0.7963	0.7389
0.021	75.0	3375	0.0632	0.7598	0.7926	0.7352
0.0198	76.0	3420	0.0632	0.7548	0.7870	0.7306
0.0196	77.0	3465	0.0623	0.7598	0.7926	0.7352
0.0192	78.0	3510	0.0627	0.7563	0.7889	0.7319
0.0188	79.0	3555	0.0629	0.7582	0.7907	0.7338
0.0185	80.0	3600	0.0629	0.7434	0.7741	0.7204
0.0178	81.0	3645	0.0615	0.7624	0.7944	0.7384
0.0173	82.0	3690	0.0622	0.7653	0.7981	0.7407
0.0165	83.0	3735	0.0614	0.7563	0.7889	0.7319
0.0173	84.0	3780	0.0631	0.7513	0.7833	0.7273
0.0165	85.0	3825	0.0621	0.7566	0.7889	0.7324
0.0157	86.0	3870	0.0628	0.7537	0.7852	0.7301
0.015	87.0	3915	0.0618	0.7563	0.7889	0.7319
0.0145	88.0	3960	0.0612	0.7606	0.7926	0.7366
0.0145	89.0	4005	0.0624	0.7603	0.7926	0.7361
0.0144	90.0	4050	0.0615	0.7545	0.7870	0.7301
0.0137	91.0	4095	0.0618	0.7563	0.7889	0.7319
0.0145	92.0	4140	0.0605	0.7545	0.7870	0.7301
0.0132	93.0	4185	0.0614	0.7513	0.7833	0.7273
0.0133	94.0	4230	0.0620	0.7566	0.7889	0.7324
0.013	95.0	4275	0.0620	0.7511	0.7833	0.7269
0.0131	96.0	4320	0.0598	0.7638	0.7963	0.7394
0.0125	97.0	4365	0.0607	0.7563	0.7889	0.7319
0.0122	98.0	4410	0.0619	0.7616	0.7944	0.7370
0.012	99.0	4455	0.0619	0.7595	0.7926	0.7347
0.0115	100.0	4500	0.0615	0.7563	0.7889	0.7319
0.0117	101.0	4545	0.0605	0.7651	0.7981	0.7403
0.0111	102.0	4590	0.0607	0.7611	0.7944	0.7361
0.0106	103.0	4635	0.0609	0.7619	0.7944	0.7375
0.0108	104.0	4680	0.0619	0.7511	0.7833	0.7269
0.0107	105.0	4725	0.0611	0.7611	0.7944	0.7361
0.0101	106.0	4770	0.0613	0.7561	0.7889	0.7315
0.0101	107.0	4815	0.0614	0.7582	0.7907	0.7338
0.0102	108.0	4860	0.0606	0.7601	0.7926	0.7356
0.0099	109.0	4905	0.0604	0.7601	0.7926	0.7356
0.0097	110.0	4950	0.0609	0.7524	0.7852	0.7278
0.0095	111.0	4995	0.0614	0.7616	0.7944	0.7370
0.0094	112.0	5040	0.0605	0.7582	0.7907	0.7338
0.0092	113.0	5085	0.0612	0.7532	0.7852	0.7292
0.0093	114.0	5130	0.0604	0.7632	0.7963	0.7384
0.0086	115.0	5175	0.0614	0.7601	0.7926	0.7356
0.0082	116.0	5220	0.0616	0.7569	0.7889	0.7329
0.0084	117.0	5265	0.0617	0.7582	0.7907	0.7338
0.0083	118.0	5310	0.0605	0.7616	0.7944	0.7370
0.0081	119.0	5355	0.0612	0.7632	0.7963	0.7384
0.008	120.0	5400	0.0613	0.7622	0.7944	0.7380
0.0077	121.0	5445	0.0608	0.7667	0.8	0.7417
0.0075	122.0	5490	0.0620	0.7497	0.7815	0.7259
0.0075	123.0	5535	0.0607	0.7582	0.7907	0.7338
0.0072	124.0	5580	0.0609	0.7656	0.7981	0.7412
0.0074	125.0	5625	0.0617	0.7585	0.7907	0.7343
0.0071	126.0	5670	0.0615	0.7688	0.8019	0.7440
0.0072	127.0	5715	0.0608	0.7556	0.7870	0.7319
0.0068	128.0	5760	0.0615	0.7651	0.7981	0.7403
0.0068	129.0	5805	0.0614	0.7545	0.7870	0.7301
0.0069	130.0	5850	0.0616	0.7693	0.8019	0.7449
0.0064	131.0	5895	0.0626	0.7656	0.7981	0.7412
0.0063	132.0	5940	0.0626	0.7616	0.7944	0.7370
0.0064	133.0	5985	0.0623	0.7603	0.7926	0.7361
0.0062	134.0	6030	0.0614	0.7579	0.7907	0.7333
0.006	135.0	6075	0.0617	0.7622	0.7944	0.7380
0.0062	136.0	6120	0.0628	0.7653	0.7981	0.7407
0.0059	137.0	6165	0.0621	0.7669	0.8	0.7421
0.0054	138.0	6210	0.0619	0.7616	0.7944	0.7370
0.0055	139.0	6255	0.0626	0.7603	0.7926	0.7361
0.0055	140.0	6300	0.0626	0.7648	0.7981	0.7398
0.0053	141.0	6345	0.0629	0.7685	0.8019	0.7435
0.0054	142.0	6390	0.0622	0.7635	0.7963	0.7389
0.0052	143.0	6435	0.0609	0.7672	0.8000	0.7426
0.0053	144.0	6480	0.0634	0.7616	0.7944	0.7370
0.0052	145.0	6525	0.0630	0.7550	0.7870	0.7310
0.005	146.0	6570	0.0637	0.7569	0.7889	0.7329
0.0052	147.0	6615	0.0630	0.7616	0.7944	0.7370
0.0049	148.0	6660	0.0617	0.7667	0.8	0.7417
0.0049	149.0	6705	0.0636	0.7598	0.7926	0.7352
0.0044	150.0	6750	0.0631	0.7582	0.7907	0.7338
0.0049	151.0	6795	0.0635	0.7651	0.7981	0.7403
0.0045	152.0	6840	0.0614	0.7669	0.8	0.7421
0.0044	153.0	6885	0.0632	0.7675	0.8	0.7431
0.0046	154.0	6930	0.0638	0.7619	0.7944	0.7375
0.0044	155.0	6975	0.0630	0.7616	0.7944	0.7370
0.0042	156.0	7020	0.0622	0.7675	0.8	0.7431
0.0041	157.0	7065	0.0629	0.7601	0.7926	0.7356
0.0043	158.0	7110	0.0635	0.7632	0.7963	0.7384
0.0043	159.0	7155	0.0633	0.7601	0.7926	0.7356
0.004	160.0	7200	0.0625	0.7640	0.7963	0.7398
0.0041	161.0	7245	0.0631	0.7632	0.7963	0.7384
0.0039	162.0	7290	0.0638	0.7635	0.7963	0.7389
0.004	163.0	7335	0.0641	0.7619	0.7944	0.7375
0.0039	164.0	7380	0.0633	0.7685	0.8019	0.7435
0.0037	165.0	7425	0.0647	0.7563	0.7889	0.7319
0.0038	166.0	7470	0.0636	0.7672	0.8	0.7426
0.0038	167.0	7515	0.0646	0.7688	0.8019	0.7440
0.0036	168.0	7560	0.0643	0.7619	0.7944	0.7375
0.0035	169.0	7605	0.0643	0.7582	0.7907	0.7338
0.0034	170.0	7650	0.0648	0.7667	0.8	0.7417
0.0034	171.0	7695	0.0638	0.7603	0.7926	0.7361
0.0034	172.0	7740	0.0642	0.7685	0.8019	0.7435
0.0034	173.0	7785	0.0642	0.7635	0.7963	0.7389
0.0034	174.0	7830	0.0643	0.7653	0.7981	0.7407
0.0034	175.0	7875	0.0648	0.7619	0.7944	0.7375
0.0033	176.0	7920	0.0651	0.7683	0.8019	0.7431
0.0032	177.0	7965	0.0641	0.7651	0.7981	0.7403
0.0031	178.0	8010	0.0656	0.7601	0.7926	0.7356
0.0031	179.0	8055	0.0650	0.7585	0.7907	0.7343
0.003	180.0	8100	0.0675	0.7622	0.7944	0.7380
0.0029	181.0	8145	0.0661	0.7601	0.7926	0.7356
0.0029	182.0	8190	0.0655	0.7653	0.7981	0.7407
0.0029	183.0	8235	0.0662	0.7619	0.7944	0.7375
0.0029	184.0	8280	0.0658	0.7619	0.7944	0.7375
0.0027	185.0	8325	0.0658	0.7601	0.7926	0.7356
0.0028	186.0	8370	0.0660	0.7648	0.7981	0.7398
0.0027	187.0	8415	0.0666	0.7669	0.8	0.7421
0.0027	188.0	8460	0.0655	0.7685	0.8019	0.7435
0.0027	189.0	8505	0.0663	0.7651	0.7981	0.7403
0.0028	190.0	8550	0.0668	0.7653	0.7981	0.7407
0.0026	191.0	8595	0.0666	0.7653	0.7981	0.7407
0.0026	192.0	8640	0.0655	0.7672	0.8	0.7426
0.0027	193.0	8685	0.0676	0.7616	0.7944	0.7370
0.0026	194.0	8730	0.0668	0.7651	0.7981	0.7403
0.0024	195.0	8775	0.0669	0.7635	0.7963	0.7389
0.0024	196.0	8820	0.0666	0.7616	0.7944	0.7370
0.0024	197.0	8865	0.0669	0.7653	0.7981	0.7407
0.0024	198.0	8910	0.0680	0.7619	0.7944	0.7375
0.0023	199.0	8955	0.0662	0.7688	0.8019	0.7440
0.0023	200.0	9000	0.0670	0.7669	0.8	0.7421
0.0022	201.0	9045	0.0673	0.7656	0.7981	0.7412
0.0022	202.0	9090	0.0672	0.7653	0.7981	0.7407
0.0022	203.0	9135	0.0673	0.7651	0.7981	0.7403
0.0023	204.0	9180	0.0677	0.7653	0.7981	0.7407
0.0021	205.0	9225	0.0682	0.7616	0.7944	0.7370
0.0021	206.0	9270	0.0683	0.7635	0.7963	0.7389
0.002	207.0	9315	0.0678	0.7635	0.7963	0.7389
0.0021	208.0	9360	0.0685	0.7653	0.7981	0.7407
0.002	209.0	9405	0.0673	0.7601	0.7926	0.7356
0.0021	210.0	9450	0.0679	0.7638	0.7963	0.7394
0.002	211.0	9495	0.0682	0.7653	0.7981	0.7407
0.002	212.0	9540	0.0676	0.7653	0.7981	0.7407
0.002	213.0	9585	0.0687	0.7653	0.7981	0.7407
0.002	214.0	9630	0.0685	0.7619	0.7944	0.7375
0.0019	215.0	9675	0.0682	0.7632	0.7963	0.7384
0.0019	216.0	9720	0.0684	0.7601	0.7926	0.7356
0.0019	217.0	9765	0.0689	0.7563	0.7889	0.7319
0.002	218.0	9810	0.0699	0.7585	0.7907	0.7343
0.0019	219.0	9855	0.0699	0.7616	0.7944	0.7370
0.002	220.0	9900	0.0680	0.7706	0.8037	0.7458
0.0018	221.0	9945	0.0687	0.7616	0.7944	0.7370
0.0024	222.0	9990	0.0716	0.7542	0.7870	0.7296
0.0025	223.0	10035	0.0776	0.7458	0.7778	0.7218
0.0029	224.0	10080	0.0735	0.7476	0.7796	0.7236
0.0028	225.0	10125	0.0720	0.7553	0.7870	0.7315
0.0019	226.0	10170	0.0708	0.7532	0.7852	0.7292
0.0018	227.0	10215	0.0696	0.7622	0.7944	0.7380
0.0017	228.0	10260	0.0706	0.7606	0.7926	0.7366
0.0016	229.0	10305	0.0706	0.7624	0.7944	0.7384
0.0021	230.0	10350	0.0706	0.7616	0.7944	0.7370
0.0015	231.0	10395	0.0704	0.7688	0.8019	0.7440
0.0015	232.0	10440	0.0701	0.7672	0.8	0.7426
0.0016	233.0	10485	0.0710	0.7622	0.7944	0.7380
0.0015	234.0	10530	0.0710	0.7601	0.7926	0.7356
0.0015	235.0	10575	0.0708	0.7638	0.7963	0.7394
0.0015	236.0	10620	0.0712	0.7635	0.7963	0.7389
0.0016	237.0	10665	0.0710	0.7603	0.7926	0.7361
0.0014	238.0	10710	0.0719	0.7622	0.7944	0.7380
0.0014	239.0	10755	0.0718	0.7585	0.7907	0.7343
0.0015	240.0	10800	0.0712	0.7638	0.7963	0.7394
0.0014	241.0	10845	0.0720	0.7606	0.7926	0.7366
0.0014	242.0	10890	0.0716	0.7640	0.7963	0.7398
0.0014	243.0	10935	0.0717	0.7622	0.7944	0.7380
0.0015	244.0	10980	0.0720	0.7603	0.7926	0.7361
0.0015	245.0	11025	0.0726	0.7619	0.7944	0.7375
0.0013	246.0	11070	0.0721	0.7603	0.7926	0.7361
0.0013	247.0	11115	0.0722	0.7606	0.7926	0.7366
0.0013	248.0	11160	0.0720	0.7635	0.7963	0.7389
0.0013	249.0	11205	0.0721	0.7619	0.7944	0.7375
0.0012	250.0	11250	0.0730	0.7638	0.7963	0.7394
0.0013	251.0	11295	0.0722	0.7638	0.7963	0.7394
0.0013	252.0	11340	0.0727	0.7603	0.7926	0.7361
0.0013	253.0	11385	0.0726	0.7603	0.7926	0.7361
0.0012	254.0	11430	0.0727	0.7603	0.7926	0.7361
0.0012	255.0	11475	0.0726	0.7601	0.7926	0.7356
0.0012	256.0	11520	0.0727	0.7622	0.7944	0.7380
0.0012	257.0	11565	0.0727	0.7603	0.7926	0.7361
0.0013	258.0	11610	0.0727	0.7585	0.7907	0.7343
0.0013	259.0	11655	0.0728	0.7585	0.7907	0.7343
0.0012	260.0	11700	0.0733	0.7587	0.7907	0.7347
0.0011	261.0	11745	0.0730	0.7603	0.7926	0.7361
0.0012	262.0	11790	0.0735	0.7587	0.7907	0.7347
0.0012	263.0	11835	0.0732	0.7550	0.7870	0.7310
0.0011	264.0	11880	0.0731	0.7603	0.7926	0.7361
0.0011	265.0	11925	0.0735	0.7566	0.7889	0.7324
0.0011	266.0	11970	0.0734	0.7585	0.7907	0.7343
0.0011	267.0	12015	0.0737	0.7603	0.7926	0.7361
0.0011	268.0	12060	0.0743	0.7566	0.7889	0.7324
0.0011	269.0	12105	0.0738	0.7566	0.7889	0.7324
0.0011	270.0	12150	0.0733	0.7566	0.7889	0.7324
0.001	271.0	12195	0.0733	0.7569	0.7889	0.7329
0.001	272.0	12240	0.0734	0.7619	0.7944	0.7375
0.0011	273.0	12285	0.0735	0.7603	0.7926	0.7361
0.0011	274.0	12330	0.0735	0.7582	0.7907	0.7338
0.0011	275.0	12375	0.0736	0.7585	0.7907	0.7343
0.001	276.0	12420	0.0737	0.7603	0.7926	0.7361
0.0011	277.0	12465	0.0728	0.7603	0.7926	0.7361
0.001	278.0	12510	0.0730	0.7603	0.7926	0.7361
0.001	279.0	12555	0.0734	0.7638	0.7963	0.7394
0.001	280.0	12600	0.0743	0.7622	0.7944	0.7380
0.001	281.0	12645	0.0738	0.7638	0.7963	0.7394
0.001	282.0	12690	0.0740	0.7638	0.7963	0.7394
0.001	283.0	12735	0.0740	0.7603	0.7926	0.7361
0.001	284.0	12780	0.0740	0.7603	0.7926	0.7361
0.001	285.0	12825	0.0743	0.7603	0.7926	0.7361
0.001	286.0	12870	0.0743	0.7622	0.7944	0.7380
0.0009	287.0	12915	0.0744	0.7587	0.7907	0.7347
0.0009	288.0	12960	0.0749	0.7569	0.7889	0.7329
0.001	289.0	13005	0.0750	0.7606	0.7926	0.7366
0.001	290.0	13050	0.0747	0.7585	0.7907	0.7343
0.001	291.0	13095	0.0737	0.7656	0.7981	0.7412
0.0009	292.0	13140	0.0745	0.7587	0.7907	0.7347
0.0009	293.0	13185	0.0744	0.7585	0.7907	0.7343
0.0009	294.0	13230	0.0746	0.7619	0.7944	0.7375
0.0009	295.0	13275	0.0748	0.7616	0.7944	0.7370
0.0009	296.0	13320	0.0742	0.7582	0.7907	0.7338
0.0009	297.0	13365	0.0749	0.7616	0.7944	0.7370
0.0009	298.0	13410	0.0754	0.7566	0.7889	0.7324
0.0008	299.0	13455	0.0747	0.7601	0.7926	0.7356
0.0009	300.0	13500	0.0745	0.7585	0.7907	0.7343
0.0009	301.0	13545	0.0750	0.7585	0.7907	0.7343
0.0009	302.0	13590	0.0751	0.7585	0.7907	0.7343
0.0009	303.0	13635	0.0758	0.7566	0.7889	0.7324
0.0009	304.0	13680	0.0752	0.7566	0.7889	0.7324
0.0009	305.0	13725	0.0747	0.7550	0.7870	0.7310
0.0009	306.0	13770	0.0754	0.7582	0.7907	0.7338
0.001	307.0	13815	0.0747	0.7582	0.7907	0.7338
0.0009	308.0	13860	0.0757	0.7582	0.7907	0.7338
0.0009	309.0	13905	0.0752	0.7601	0.7926	0.7356
0.0008	310.0	13950	0.0753	0.7582	0.7907	0.7338
0.0008	311.0	13995	0.0756	0.7603	0.7926	0.7361
0.0008	312.0	14040	0.0757	0.7569	0.7889	0.7329
0.0008	313.0	14085	0.0761	0.7616	0.7944	0.7370
0.0009	314.0	14130	0.0761	0.7582	0.7907	0.7338
0.0008	315.0	14175	0.0758	0.7582	0.7907	0.7338
0.0008	316.0	14220	0.0756	0.7601	0.7926	0.7356
0.0008	317.0	14265	0.0759	0.7656	0.7981	0.7412
0.0008	318.0	14310	0.0762	0.7619	0.7944	0.7375
0.0008	319.0	14355	0.0763	0.7566	0.7889	0.7324
0.0008	320.0	14400	0.0762	0.7550	0.7870	0.7310
0.0008	321.0	14445	0.0765	0.7550	0.7870	0.7310
0.0008	322.0	14490	0.0759	0.7550	0.7870	0.7310
0.0008	323.0	14535	0.0764	0.7566	0.7889	0.7324
0.0008	324.0	14580	0.0764	0.7534	0.7852	0.7296
0.0008	325.0	14625	0.0760	0.7550	0.7870	0.7310
0.0008	326.0	14670	0.0761	0.7566	0.7889	0.7324
0.0008	327.0	14715	0.0762	0.7566	0.7889	0.7324
0.0008	328.0	14760	0.0763	0.7550	0.7870	0.7310
0.0008	329.0	14805	0.0761	0.7601	0.7926	0.7356
0.0007	330.0	14850	0.0764	0.7585	0.7907	0.7343
0.0008	331.0	14895	0.0763	0.7585	0.7907	0.7343
0.0007	332.0	14940	0.0763	0.7582	0.7907	0.7338
0.0008	333.0	14985	0.0763	0.7566	0.7889	0.7324
0.0008	334.0	15030	0.0766	0.7566	0.7889	0.7324
0.0008	335.0	15075	0.0766	0.7566	0.7889	0.7324
0.0008	336.0	15120	0.0766	0.7566	0.7889	0.7324
0.0008	337.0	15165	0.0763	0.7550	0.7870	0.7310
0.0007	338.0	15210	0.0766	0.7550	0.7870	0.7310
0.0008	339.0	15255	0.0767	0.7550	0.7870	0.7310
0.0008	340.0	15300	0.0765	0.7566	0.7889	0.7324
0.0008	341.0	15345	0.0767	0.7550	0.7870	0.7310
0.0008	342.0	15390	0.0767	0.7566	0.7889	0.7324
0.0007	343.0	15435	0.0768	0.7550	0.7870	0.7310
0.0007	344.0	15480	0.0767	0.7550	0.7870	0.7310
0.0007	345.0	15525	0.0767	0.7566	0.7889	0.7324
0.0007	346.0	15570	0.0766	0.7566	0.7889	0.7324
0.0008	347.0	15615	0.0766	0.7566	0.7889	0.7324
0.0007	348.0	15660	0.0767	0.7566	0.7889	0.7324
0.0007	349.0	15705	0.0767	0.7566	0.7889	0.7324
0.0007	350.0	15750	0.0767	0.7566	0.7889	0.7324

Framework versions

• Transformers 4.51.0.dev0
• Pytorch 2.5.1+cu121
• Datasets 3.4.1
• Tokenizers 0.21.0