GS_bert5

This model is a fine-tuned version of biblo0507/GS_bert4 on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.1024
• F1: 0.6894
• Precision: 0.7204
• Recall: 0.6662

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
0.6926	1.0	45	0.6579	0.0484	0.05	0.0472
0.5138	2.0	90	0.4769	0.0246	0.0259	0.0236
0.3914	3.0	135	0.3539	0.0267	0.0278	0.0259
0.2927	4.0	180	0.2713	0.0447	0.0463	0.0435
0.2405	5.0	225	0.2181	0.0685	0.0722	0.0657
0.1995	6.0	270	0.1883	0.0534	0.0574	0.0505
0.1853	7.0	315	0.1732	0.0532	0.0574	0.05
0.1743	8.0	360	0.1660	0.0521	0.0556	0.0495
0.1701	9.0	405	0.1624	0.0767	0.0815	0.0731
0.1672	10.0	450	0.1594	0.1569	0.1648	0.1509
0.163	11.0	495	0.1553	0.2571	0.2704	0.2472
0.1563	12.0	540	0.1507	0.3257	0.3426	0.3130
0.151	13.0	585	0.1458	0.3717	0.3907	0.3574
0.1451	14.0	630	0.1422	0.3929	0.4130	0.3778
0.1388	15.0	675	0.1381	0.4161	0.4370	0.4005
0.1345	16.0	720	0.1349	0.4466	0.4685	0.4301
0.1298	17.0	765	0.1316	0.4757	0.4981	0.4588
0.1248	18.0	810	0.1285	0.4886	0.5111	0.4718
0.1198	19.0	855	0.1255	0.5196	0.5444	0.5009
0.115	20.0	900	0.1229	0.5347	0.5593	0.5162
0.1129	21.0	945	0.1209	0.5423	0.5667	0.5241
0.1083	22.0	990	0.1182	0.5669	0.5926	0.5477
0.1049	23.0	1035	0.1159	0.5836	0.6093	0.5644
0.1036	24.0	1080	0.1142	0.5960	0.6222	0.5764
0.0979	25.0	1125	0.1111	0.6103	0.6370	0.5903
0.0944	26.0	1170	0.1095	0.6175	0.6444	0.5972
0.0893	27.0	1215	0.1076	0.6040	0.6296	0.5847
0.0869	28.0	1260	0.1057	0.6132	0.6407	0.5926
0.0844	29.0	1305	0.1036	0.6384	0.6667	0.6171
0.0816	30.0	1350	0.1024	0.6339	0.6611	0.6134
0.0781	31.0	1395	0.1009	0.6354	0.6630	0.6148
0.0759	32.0	1440	0.0993	0.6333	0.6611	0.6125
0.0738	33.0	1485	0.0979	0.6405	0.6685	0.6194
0.0714	34.0	1530	0.0966	0.6429	0.6704	0.6222
0.0666	35.0	1575	0.0951	0.6534	0.6815	0.6324
0.0658	36.0	1620	0.0948	0.6474	0.6759	0.6259
0.0643	37.0	1665	0.0926	0.6550	0.6833	0.6338
0.0639	38.0	1710	0.0924	0.6492	0.6778	0.6278
0.0594	39.0	1755	0.0914	0.6603	0.6889	0.6389
0.0569	40.0	1800	0.0895	0.6553	0.6833	0.6343
0.0558	41.0	1845	0.0888	0.6638	0.6926	0.6421
0.0547	42.0	1890	0.0878	0.6603	0.6889	0.6389
0.0525	43.0	1935	0.0880	0.6659	0.6944	0.6444
0.0511	44.0	1980	0.0863	0.6556	0.6852	0.6333
0.0487	45.0	2025	0.0859	0.6709	0.7000	0.6491
0.0477	46.0	2070	0.0848	0.6675	0.6963	0.6458
0.0455	47.0	2115	0.0854	0.6606	0.6889	0.6394
0.043	48.0	2160	0.0836	0.6619	0.6907	0.6403
0.0437	49.0	2205	0.0841	0.6585	0.6870	0.6370
0.0422	50.0	2250	0.0833	0.6508	0.6796	0.6292
0.0419	51.0	2295	0.0830	0.6587	0.6870	0.6375
0.0406	52.0	2340	0.0821	0.6709	0.7	0.6491
0.0381	53.0	2385	0.0814	0.6720	0.7019	0.6495
0.0361	54.0	2430	0.0811	0.6566	0.6852	0.6352
0.0356	55.0	2475	0.0811	0.6688	0.6981	0.6468
0.0358	56.0	2520	0.0805	0.6690	0.6981	0.6472
0.0347	57.0	2565	0.0802	0.6688	0.6981	0.6468
0.0325	58.0	2610	0.0801	0.6690	0.6981	0.6472
0.0324	59.0	2655	0.0789	0.6741	0.7037	0.6519
0.0311	60.0	2700	0.0783	0.6688	0.6981	0.6468
0.0308	61.0	2745	0.0792	0.6635	0.6926	0.6417
0.0292	62.0	2790	0.0787	0.6595	0.6889	0.6375
0.0282	63.0	2835	0.0773	0.6664	0.6963	0.6440
0.0283	64.0	2880	0.0783	0.6690	0.6981	0.6472
0.0271	65.0	2925	0.0775	0.6738	0.7037	0.6514
0.027	66.0	2970	0.0786	0.6735	0.7037	0.6509
0.0265	67.0	3015	0.0777	0.6677	0.6963	0.6463
0.0252	68.0	3060	0.0780	0.6630	0.6926	0.6407
0.0249	69.0	3105	0.0760	0.6786	0.7093	0.6556
0.0236	70.0	3150	0.0776	0.6759	0.7056	0.6537
0.0229	71.0	3195	0.0771	0.6688	0.6981	0.6468
0.0232	72.0	3240	0.0766	0.6653	0.6944	0.6435
0.0224	73.0	3285	0.0764	0.6757	0.7056	0.6532
0.0221	74.0	3330	0.0762	0.6667	0.6963	0.6444
0.022	75.0	3375	0.0771	0.6646	0.6944	0.6421
0.0209	76.0	3420	0.0765	0.6725	0.7019	0.6505
0.0209	77.0	3465	0.0765	0.6741	0.7037	0.6519
0.02	78.0	3510	0.0763	0.6847	0.7148	0.6620
0.0196	79.0	3555	0.0767	0.6778	0.7074	0.6556
0.0193	80.0	3600	0.0761	0.6759	0.7056	0.6537
0.0181	81.0	3645	0.0757	0.6759	0.7056	0.6537
0.0183	82.0	3690	0.0764	0.6725	0.7019	0.6505
0.0176	83.0	3735	0.0757	0.6825	0.7130	0.6597
0.018	84.0	3780	0.0761	0.6775	0.7074	0.6551
0.0169	85.0	3825	0.0759	0.6804	0.7111	0.6574
0.0166	86.0	3870	0.0764	0.6762	0.7056	0.6542
0.0159	87.0	3915	0.0750	0.6791	0.7093	0.6565
0.0155	88.0	3960	0.0764	0.6841	0.7148	0.6611
0.0155	89.0	4005	0.0752	0.6807	0.7111	0.6579
0.0151	90.0	4050	0.0760	0.6857	0.7167	0.6625
0.0143	91.0	4095	0.0771	0.6720	0.7019	0.6495
0.015	92.0	4140	0.0764	0.6788	0.7093	0.6560
0.0141	93.0	4185	0.0774	0.6802	0.7111	0.6569
0.0138	94.0	4230	0.0759	0.6778	0.7074	0.6556
0.0133	95.0	4275	0.0763	0.6794	0.7093	0.6569
0.014	96.0	4320	0.0767	0.6717	0.7019	0.6491
0.0131	97.0	4365	0.0776	0.6709	0.7	0.6491
0.0126	98.0	4410	0.0768	0.6852	0.7167	0.6616
0.0124	99.0	4455	0.0777	0.6746	0.7056	0.6514
0.0121	100.0	4500	0.0765	0.6817	0.7130	0.6583
0.0121	101.0	4545	0.0782	0.6720	0.7019	0.6495
0.0115	102.0	4590	0.0765	0.6894	0.7204	0.6662
0.0116	103.0	4635	0.0779	0.6762	0.7056	0.6542
0.0112	104.0	4680	0.0764	0.6823	0.7130	0.6593
0.011	105.0	4725	0.0779	0.6704	0.7	0.6481
0.0106	106.0	4770	0.0767	0.6788	0.7093	0.6560
0.0102	107.0	4815	0.0778	0.6828	0.7130	0.6602
0.0106	108.0	4860	0.0776	0.6788	0.7093	0.6560
0.0105	109.0	4905	0.0766	0.6923	0.7241	0.6685
0.0101	110.0	4950	0.0781	0.6786	0.7093	0.6556
0.01	111.0	4995	0.0776	0.6720	0.7019	0.6495
0.0095	112.0	5040	0.0773	0.6876	0.7185	0.6644
0.0096	113.0	5085	0.0765	0.6878	0.7185	0.6648
0.0096	114.0	5130	0.0783	0.6857	0.7167	0.6625
0.0091	115.0	5175	0.0769	0.6754	0.7056	0.6528
0.0088	116.0	5220	0.0778	0.6807	0.7111	0.6579
0.0089	117.0	5265	0.0777	0.6878	0.7185	0.6648
0.0086	118.0	5310	0.0768	0.6794	0.7093	0.6569
0.0086	119.0	5355	0.0781	0.6910	0.7222	0.6676
0.0082	120.0	5400	0.0784	0.6878	0.7185	0.6648
0.0082	121.0	5445	0.0789	0.6847	0.7148	0.6620
0.0078	122.0	5490	0.0787	0.6810	0.7111	0.6583
0.0078	123.0	5535	0.0777	0.6788	0.7093	0.6560
0.0077	124.0	5580	0.0790	0.6810	0.7111	0.6583
0.0075	125.0	5625	0.0788	0.6839	0.7148	0.6606
0.0077	126.0	5670	0.0783	0.6841	0.7148	0.6611
0.0073	127.0	5715	0.0798	0.6844	0.7148	0.6616
0.007	128.0	5760	0.0787	0.6910	0.7222	0.6676
0.0071	129.0	5805	0.0798	0.6897	0.7204	0.6667
0.0072	130.0	5850	0.0789	0.6862	0.7167	0.6634
0.0068	131.0	5895	0.0796	0.6817	0.7130	0.6583
0.0066	132.0	5940	0.0796	0.6828	0.7130	0.6602
0.0067	133.0	5985	0.0798	0.6860	0.7167	0.6630
0.0068	134.0	6030	0.0787	0.6892	0.7204	0.6657
0.0061	135.0	6075	0.0789	0.6931	0.7241	0.6699
0.0062	136.0	6120	0.0799	0.6915	0.7222	0.6685
0.0061	137.0	6165	0.0803	0.6825	0.7130	0.6597
0.0058	138.0	6210	0.0803	0.6876	0.7185	0.6644
0.0062	139.0	6255	0.0795	0.6910	0.7222	0.6676
0.0057	140.0	6300	0.0801	0.6892	0.7204	0.6657
0.0054	141.0	6345	0.0810	0.6820	0.7130	0.6588
0.0055	142.0	6390	0.0817	0.6873	0.7185	0.6639
0.0055	143.0	6435	0.0810	0.6783	0.7093	0.6551
0.0053	144.0	6480	0.0806	0.6865	0.7167	0.6639
0.0054	145.0	6525	0.0811	0.6862	0.7167	0.6634
0.0052	146.0	6570	0.0811	0.6807	0.7111	0.6579
0.0054	147.0	6615	0.0812	0.6934	0.7241	0.6704
0.0054	148.0	6660	0.0817	0.6944	0.7259	0.6708
0.0051	149.0	6705	0.0813	0.6847	0.7148	0.6620
0.0049	150.0	6750	0.0814	0.6876	0.7185	0.6644
0.0048	151.0	6795	0.0811	0.6844	0.7148	0.6616
0.0046	152.0	6840	0.0826	0.6876	0.7185	0.6644
0.0046	153.0	6885	0.0834	0.6804	0.7111	0.6574
0.0047	154.0	6930	0.0828	0.6854	0.7167	0.6620
0.0045	155.0	6975	0.0834	0.6791	0.7093	0.6565
0.0045	156.0	7020	0.0825	0.6860	0.7167	0.6630
0.0043	157.0	7065	0.0817	0.6944	0.7259	0.6708
0.0043	158.0	7110	0.0828	0.6876	0.7185	0.6644
0.0044	159.0	7155	0.0838	0.6841	0.7148	0.6611
0.004	160.0	7200	0.0840	0.6796	0.7093	0.6574
0.0041	161.0	7245	0.0840	0.6889	0.7204	0.6653
0.004	162.0	7290	0.0850	0.6857	0.7167	0.6625
0.004	163.0	7335	0.0842	0.6913	0.7222	0.6681
0.004	164.0	7380	0.0845	0.6968	0.7278	0.6736
0.0037	165.0	7425	0.0844	0.6918	0.7222	0.6690
0.0038	166.0	7470	0.0824	0.7053	0.7370	0.6815
0.0039	167.0	7515	0.0838	0.6947	0.7259	0.6713
0.0038	168.0	7560	0.0844	0.6915	0.7222	0.6685
0.0036	169.0	7605	0.0840	0.6947	0.7259	0.6713
0.0036	170.0	7650	0.0844	0.6881	0.7185	0.6653
0.0034	171.0	7695	0.0849	0.6963	0.7278	0.6727
0.0035	172.0	7740	0.0850	0.6881	0.7185	0.6653
0.0035	173.0	7785	0.0840	0.6939	0.7241	0.6713
0.0035	174.0	7830	0.0857	0.6952	0.7259	0.6722
0.0036	175.0	7875	0.0855	0.6968	0.7278	0.6736
0.0033	176.0	7920	0.0860	0.6894	0.7204	0.6662
0.0033	177.0	7965	0.0862	0.6804	0.7111	0.6574
0.0033	178.0	8010	0.0864	0.6894	0.7204	0.6662
0.0033	179.0	8055	0.0879	0.6836	0.7148	0.6602
0.0034	180.0	8100	0.0861	0.6963	0.7278	0.6727
0.0032	181.0	8145	0.0869	0.6910	0.7222	0.6676
0.003	182.0	8190	0.0869	0.6931	0.7241	0.6699
0.0031	183.0	8235	0.0857	0.6860	0.7167	0.6630
0.003	184.0	8280	0.0862	0.6897	0.7204	0.6667
0.0028	185.0	8325	0.0866	0.6876	0.7185	0.6644
0.0028	186.0	8370	0.0874	0.6878	0.7185	0.6648
0.0027	187.0	8415	0.0870	0.6929	0.7241	0.6694
0.0029	188.0	8460	0.0882	0.6839	0.7148	0.6606
0.0028	189.0	8505	0.0879	0.6844	0.7148	0.6616
0.003	190.0	8550	0.0877	0.6894	0.7204	0.6662
0.0027	191.0	8595	0.0874	0.6894	0.7204	0.6662
0.0028	192.0	8640	0.0874	0.6878	0.7185	0.6648
0.0028	193.0	8685	0.0871	0.6841	0.7148	0.6611
0.0026	194.0	8730	0.0877	0.6844	0.7148	0.6616
0.0025	195.0	8775	0.0895	0.6847	0.7148	0.6620
0.0025	196.0	8820	0.0886	0.6915	0.7222	0.6685
0.0026	197.0	8865	0.0897	0.6823	0.7130	0.6593
0.0025	198.0	8910	0.0890	0.6894	0.7204	0.6662
0.0025	199.0	8955	0.0887	0.6876	0.7185	0.6644
0.0023	200.0	9000	0.0894	0.6931	0.7241	0.6699
0.0023	201.0	9045	0.0899	0.6878	0.7185	0.6648
0.0024	202.0	9090	0.0885	0.6947	0.7259	0.6713
0.0023	203.0	9135	0.0890	0.6918	0.7222	0.6690
0.0024	204.0	9180	0.0900	0.6788	0.7093	0.6560
0.0024	205.0	9225	0.0894	0.6950	0.7259	0.6718
0.0022	206.0	9270	0.0920	0.6878	0.7185	0.6648
0.0022	207.0	9315	0.0910	0.6910	0.7222	0.6676
0.0023	208.0	9360	0.0896	0.6947	0.7259	0.6713
0.0038	209.0	9405	0.0896	0.6804	0.7111	0.6574
0.0049	210.0	9450	0.0951	0.6807	0.7111	0.6579
0.0029	211.0	9495	0.0962	0.6635	0.6926	0.6417
0.0029	212.0	9540	0.0957	0.6725	0.7019	0.6505
0.0025	213.0	9585	0.0966	0.6709	0.7000	0.6491
0.0022	214.0	9630	0.0937	0.6810	0.7111	0.6583
0.0021	215.0	9675	0.0931	0.6791	0.7093	0.6565
0.002	216.0	9720	0.0937	0.6823	0.7130	0.6593
0.002	217.0	9765	0.0934	0.6844	0.7148	0.6616
0.0019	218.0	9810	0.0938	0.6775	0.7074	0.6551
0.0018	219.0	9855	0.0936	0.6791	0.7093	0.6565
0.0019	220.0	9900	0.0926	0.6844	0.7148	0.6616
0.0019	221.0	9945	0.0934	0.6839	0.7148	0.6606
0.0017	222.0	9990	0.0928	0.6894	0.7204	0.6662
0.0017	223.0	10035	0.0938	0.6878	0.7185	0.6648
0.0018	224.0	10080	0.0937	0.6812	0.7111	0.6588
0.0017	225.0	10125	0.0940	0.6878	0.7185	0.6648
0.0018	226.0	10170	0.0942	0.6841	0.7148	0.6611
0.0018	227.0	10215	0.0943	0.6810	0.7111	0.6583
0.0018	228.0	10260	0.0937	0.6860	0.7167	0.6630
0.0016	229.0	10305	0.0948	0.6860	0.7167	0.6630
0.0017	230.0	10350	0.0947	0.6894	0.7204	0.6662
0.0016	231.0	10395	0.0952	0.6807	0.7111	0.6579
0.0015	232.0	10440	0.0947	0.6807	0.7111	0.6579
0.0016	233.0	10485	0.0943	0.6841	0.7148	0.6611
0.0016	234.0	10530	0.0951	0.6860	0.7167	0.6630
0.0016	235.0	10575	0.0949	0.6876	0.7185	0.6644
0.0015	236.0	10620	0.0948	0.6860	0.7167	0.6630
0.0016	237.0	10665	0.0956	0.6825	0.7130	0.6597
0.0015	238.0	10710	0.0957	0.6841	0.7148	0.6611
0.0015	239.0	10755	0.0956	0.6860	0.7167	0.6630
0.0016	240.0	10800	0.0954	0.6844	0.7148	0.6616
0.0015	241.0	10845	0.0963	0.6810	0.7111	0.6583
0.0015	242.0	10890	0.0959	0.6876	0.7185	0.6644
0.0014	243.0	10935	0.0965	0.6913	0.7222	0.6681
0.0015	244.0	10980	0.0969	0.6878	0.7185	0.6648
0.0015	245.0	11025	0.0958	0.6854	0.7167	0.6620
0.0014	246.0	11070	0.0967	0.6892	0.7204	0.6657
0.0014	247.0	11115	0.0961	0.6894	0.7204	0.6662
0.0014	248.0	11160	0.0968	0.6931	0.7241	0.6699
0.0014	249.0	11205	0.0955	0.6926	0.7241	0.6690
0.0014	250.0	11250	0.0973	0.6913	0.7222	0.6681
0.0013	251.0	11295	0.0968	0.6844	0.7148	0.6616
0.0014	252.0	11340	0.0970	0.6915	0.7222	0.6685
0.0013	253.0	11385	0.0963	0.6931	0.7241	0.6699
0.0013	254.0	11430	0.0970	0.6862	0.7167	0.6634
0.0012	255.0	11475	0.0966	0.6860	0.7167	0.6630
0.0013	256.0	11520	0.0969	0.6828	0.7130	0.6602
0.0013	257.0	11565	0.0969	0.6823	0.7130	0.6593
0.0013	258.0	11610	0.0967	0.6878	0.7185	0.6648
0.0013	259.0	11655	0.0974	0.6897	0.7204	0.6667
0.0013	260.0	11700	0.0980	0.6878	0.7185	0.6648
0.0012	261.0	11745	0.0985	0.6862	0.7167	0.6634
0.0013	262.0	11790	0.0984	0.6876	0.7185	0.6644
0.0012	263.0	11835	0.0981	0.6825	0.7130	0.6597
0.0012	264.0	11880	0.0977	0.6899	0.7204	0.6671
0.0012	265.0	11925	0.0982	0.6878	0.7185	0.6648
0.0012	266.0	11970	0.0984	0.6984	0.7296	0.675
0.0012	267.0	12015	0.0972	0.6910	0.7222	0.6676
0.0012	268.0	12060	0.0975	0.6913	0.7222	0.6681
0.0012	269.0	12105	0.0984	0.6931	0.7241	0.6699
0.0012	270.0	12150	0.0980	0.6913	0.7222	0.6681
0.0012	271.0	12195	0.0983	0.6947	0.7259	0.6713
0.0011	272.0	12240	0.0992	0.6913	0.7222	0.6681
0.0012	273.0	12285	0.0983	0.6878	0.7185	0.6648
0.0012	274.0	12330	0.0983	0.6865	0.7167	0.6639
0.0011	275.0	12375	0.0982	0.6934	0.7241	0.6704
0.0011	276.0	12420	0.0988	0.6902	0.7204	0.6676
0.0012	277.0	12465	0.0988	0.6950	0.7259	0.6718
0.0011	278.0	12510	0.0984	0.6931	0.7241	0.6699
0.0011	279.0	12555	0.0979	0.6873	0.7185	0.6639
0.0011	280.0	12600	0.0981	0.6926	0.7241	0.6690
0.0011	281.0	12645	0.0986	0.6913	0.7222	0.6681
0.0011	282.0	12690	0.0994	0.6881	0.7185	0.6653
0.0011	283.0	12735	0.0996	0.6841	0.7148	0.6611
0.0011	284.0	12780	0.1000	0.6876	0.7185	0.6644
0.0011	285.0	12825	0.1001	0.6860	0.7167	0.6630
0.001	286.0	12870	0.0998	0.6860	0.7167	0.6630
0.0011	287.0	12915	0.1001	0.6894	0.7204	0.6662
0.001	288.0	12960	0.1005	0.6878	0.7185	0.6648
0.001	289.0	13005	0.1001	0.6960	0.7278	0.6722
0.001	290.0	13050	0.1002	0.6963	0.7278	0.6727
0.0011	291.0	13095	0.1007	0.6947	0.7259	0.6713
0.001	292.0	13140	0.1006	0.6876	0.7185	0.6644
0.001	293.0	13185	0.0998	0.6929	0.7241	0.6694
0.001	294.0	13230	0.1008	0.6894	0.7204	0.6662
0.0009	295.0	13275	0.1005	0.6860	0.7167	0.6630
0.001	296.0	13320	0.1006	0.6892	0.7204	0.6657
0.001	297.0	13365	0.1011	0.6929	0.7241	0.6694
0.001	298.0	13410	0.1011	0.6873	0.7185	0.6639
0.0009	299.0	13455	0.1007	0.6892	0.7204	0.6657
0.0009	300.0	13500	0.1006	0.6929	0.7241	0.6694
0.0009	301.0	13545	0.1009	0.6860	0.7167	0.6630
0.0009	302.0	13590	0.1015	0.6857	0.7167	0.6625
0.001	303.0	13635	0.1014	0.6929	0.7241	0.6694
0.001	304.0	13680	0.1007	0.6926	0.7241	0.6690
0.0009	305.0	13725	0.1011	0.6929	0.7241	0.6694
0.0009	306.0	13770	0.1009	0.6913	0.7222	0.6681
0.001	307.0	13815	0.1007	0.6947	0.7259	0.6713
0.0009	308.0	13860	0.1009	0.6929	0.7241	0.6694
0.0009	309.0	13905	0.1005	0.6894	0.7204	0.6662
0.0009	310.0	13950	0.1011	0.6878	0.7185	0.6648
0.0009	311.0	13995	0.1011	0.6878	0.7185	0.6648
0.0008	312.0	14040	0.1009	0.6876	0.7185	0.6644
0.0009	313.0	14085	0.1009	0.6913	0.7222	0.6681
0.0009	314.0	14130	0.1014	0.6931	0.7241	0.6699
0.0009	315.0	14175	0.1004	0.6910	0.7222	0.6676
0.0008	316.0	14220	0.1013	0.6860	0.7167	0.6630
0.0009	317.0	14265	0.1010	0.6910	0.7222	0.6676
0.0009	318.0	14310	0.1020	0.6910	0.7222	0.6676
0.0009	319.0	14355	0.1020	0.6878	0.7185	0.6648
0.0009	320.0	14400	0.1022	0.6878	0.7185	0.6648
0.0008	321.0	14445	0.1021	0.6878	0.7185	0.6648
0.0009	322.0	14490	0.1022	0.6878	0.7185	0.6648
0.0008	323.0	14535	0.1019	0.6929	0.7241	0.6694
0.0009	324.0	14580	0.1018	0.6878	0.7185	0.6648
0.0008	325.0	14625	0.1020	0.6860	0.7167	0.6630
0.0008	326.0	14670	0.1018	0.6910	0.7222	0.6676
0.0009	327.0	14715	0.1022	0.6892	0.7204	0.6657
0.0009	328.0	14760	0.1025	0.6894	0.7204	0.6662
0.0009	329.0	14805	0.1024	0.6897	0.7204	0.6667
0.0008	330.0	14850	0.1025	0.6857	0.7167	0.6625
0.0008	331.0	14895	0.1024	0.6876	0.7185	0.6644
0.0008	332.0	14940	0.1022	0.6910	0.7222	0.6676
0.0008	333.0	14985	0.1026	0.6876	0.7185	0.6644
0.0008	334.0	15030	0.1027	0.6876	0.7185	0.6644
0.0008	335.0	15075	0.1028	0.6857	0.7167	0.6625
0.0008	336.0	15120	0.1027	0.6876	0.7185	0.6644
0.0008	337.0	15165	0.1024	0.6910	0.7222	0.6676
0.0008	338.0	15210	0.1023	0.6913	0.7222	0.6681
0.0008	339.0	15255	0.1025	0.6878	0.7185	0.6648
0.0008	340.0	15300	0.1025	0.6876	0.7185	0.6644
0.0008	341.0	15345	0.1023	0.6876	0.7185	0.6644
0.0008	342.0	15390	0.1023	0.6876	0.7185	0.6644
0.0008	343.0	15435	0.1022	0.6894	0.7204	0.6662
0.0008	344.0	15480	0.1023	0.6894	0.7204	0.6662
0.0008	345.0	15525	0.1023	0.6894	0.7204	0.6662
0.0008	346.0	15570	0.1024	0.6894	0.7204	0.6662
0.0008	347.0	15615	0.1023	0.6894	0.7204	0.6662
0.0008	348.0	15660	0.1024	0.6894	0.7204	0.6662
0.0008	349.0	15705	0.1024	0.6894	0.7204	0.6662
0.0008	350.0	15750	0.1024	0.6894	0.7204	0.6662

Framework versions

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