aayush14/PeptideGPT_non_hemolytic

output_hemo_neg_3

This model is a fine-tuned version of nferruz/ProtGPT2 on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 3.9794
• Accuracy: 0.4240

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: 1e-06
• train_batch_size: 1
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 500.0

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
5.9415	1.0	38	5.6068	0.3084
5.7302	2.0	76	5.4263	0.3204
5.5675	3.0	114	5.2875	0.3231
5.4594	4.0	152	5.2055	0.3250
5.3808	5.0	190	5.1589	0.3297
5.3353	6.0	228	5.1195	0.3321
5.2946	7.0	266	5.0779	0.3338
5.2632	8.0	304	5.0432	0.3370
5.2279	9.0	342	5.0154	0.3372
5.1999	10.0	380	4.9931	0.3377
5.1853	11.0	418	4.9701	0.3399
5.1619	12.0	456	4.9458	0.3429
5.1395	13.0	494	4.9274	0.3438
5.1179	14.0	532	4.9080	0.3463
5.1048	15.0	570	4.8921	0.3465
5.0837	16.0	608	4.8756	0.3470
5.067	17.0	646	4.8606	0.3492
5.0516	18.0	684	4.8469	0.3507
5.0313	19.0	722	4.8366	0.3522
5.0225	20.0	760	4.8276	0.3526
5.0068	21.0	798	4.8179	0.3522
4.9942	22.0	836	4.8051	0.3522
4.9758	23.0	874	4.7963	0.3526
4.9605	24.0	912	4.7843	0.3529
4.9525	25.0	950	4.7728	0.3531
4.9409	26.0	988	4.7618	0.3524
4.9328	27.0	1026	4.7523	0.3519
4.9168	28.0	1064	4.7444	0.3526
4.9057	29.0	1102	4.7332	0.3551
4.8896	30.0	1140	4.7237	0.3561
4.8869	31.0	1178	4.7156	0.3565
4.8798	32.0	1216	4.7093	0.3568
4.8591	33.0	1254	4.7029	0.3575
4.8548	34.0	1292	4.6946	0.3570
4.8502	35.0	1330	4.6871	0.3595
4.8378	36.0	1368	4.6803	0.3595
4.829	37.0	1406	4.6733	0.3600
4.8177	38.0	1444	4.6643	0.3602
4.809	39.0	1482	4.6591	0.3607
4.8002	40.0	1520	4.6507	0.3607
4.7938	41.0	1558	4.6438	0.3614
4.7787	42.0	1596	4.6367	0.3617
4.7685	43.0	1634	4.6306	0.3629
4.762	44.0	1672	4.6211	0.3636
4.7487	45.0	1710	4.6133	0.3641
4.7451	46.0	1748	4.6058	0.3646
4.7378	47.0	1786	4.6009	0.3658
4.7281	48.0	1824	4.5932	0.3658
4.7196	49.0	1862	4.5889	0.3656
4.7091	50.0	1900	4.5814	0.3666
4.7032	51.0	1938	4.5763	0.3668
4.6978	52.0	1976	4.5731	0.3668
4.6908	53.0	2014	4.5682	0.3673
4.6776	54.0	2052	4.5638	0.3673
4.6667	55.0	2090	4.5588	0.3680
4.6662	56.0	2128	4.5535	0.3685
4.6567	57.0	2166	4.5494	0.3697
4.6492	58.0	2204	4.5433	0.3697
4.6442	59.0	2242	4.5421	0.3697
4.632	60.0	2280	4.5368	0.3700
4.6256	61.0	2318	4.5321	0.3705
4.6215	62.0	2356	4.5286	0.3700
4.6142	63.0	2394	4.5240	0.3702
4.6041	64.0	2432	4.5195	0.3710
4.5984	65.0	2470	4.5147	0.3715
4.5919	66.0	2508	4.5116	0.3727
4.5838	67.0	2546	4.5070	0.3724
4.5733	68.0	2584	4.5035	0.3724
4.5642	69.0	2622	4.5007	0.3722
4.5607	70.0	2660	4.4968	0.3719
4.5543	71.0	2698	4.4928	0.3729
4.5502	72.0	2736	4.4897	0.3729
4.5505	73.0	2774	4.4875	0.3737
4.537	74.0	2812	4.4840	0.3732
4.529	75.0	2850	4.4802	0.3746
4.5201	76.0	2888	4.4764	0.3749
4.5176	77.0	2926	4.4729	0.3751
4.5087	78.0	2964	4.4716	0.3751
4.504	79.0	3002	4.4684	0.3744
4.4914	80.0	3040	4.4634	0.3751
4.4907	81.0	3078	4.4616	0.3751
4.483	82.0	3116	4.4578	0.3754
4.4792	83.0	3154	4.4541	0.3741
4.4705	84.0	3192	4.4511	0.3744
4.4647	85.0	3230	4.4488	0.3749
4.4617	86.0	3268	4.4445	0.3751
4.453	87.0	3306	4.4385	0.3751
4.4488	88.0	3344	4.4353	0.3763
4.4424	89.0	3382	4.4322	0.3766
4.433	90.0	3420	4.4300	0.3766
4.4252	91.0	3458	4.4259	0.3763
4.4226	92.0	3496	4.4215	0.3773
4.4144	93.0	3534	4.4189	0.3771
4.4047	94.0	3572	4.4160	0.3771
4.4071	95.0	3610	4.4131	0.3773
4.3975	96.0	3648	4.4095	0.3773
4.3897	97.0	3686	4.4085	0.3771
4.3869	98.0	3724	4.4052	0.3771
4.3751	99.0	3762	4.4021	0.3773
4.3698	100.0	3800	4.3988	0.3768
4.368	101.0	3838	4.3945	0.3768
4.3643	102.0	3876	4.3918	0.3771
4.3552	103.0	3914	4.3893	0.3766
4.3478	104.0	3952	4.3869	0.3776
4.3438	105.0	3990	4.3848	0.3781
4.3362	106.0	4028	4.3820	0.3773
4.3356	107.0	4066	4.3768	0.3778
4.3263	108.0	4104	4.3764	0.3776
4.3238	109.0	4142	4.3732	0.3778
4.3157	110.0	4180	4.3699	0.3781
4.311	111.0	4218	4.3678	0.3781
4.3048	112.0	4256	4.3646	0.3788
4.2955	113.0	4294	4.3640	0.3793
4.2914	114.0	4332	4.3604	0.3793
4.286	115.0	4370	4.3580	0.3790
4.2857	116.0	4408	4.3541	0.3790
4.2776	117.0	4446	4.3527	0.3793
4.2734	118.0	4484	4.3482	0.3803
4.2646	119.0	4522	4.3461	0.3800
4.2632	120.0	4560	4.3446	0.3803
4.2586	121.0	4598	4.3409	0.3807
4.2564	122.0	4636	4.3400	0.3812
4.2423	123.0	4674	4.3357	0.3807
4.2425	124.0	4712	4.3335	0.3807
4.2367	125.0	4750	4.3306	0.3810
4.2301	126.0	4788	4.3292	0.3815
4.2286	127.0	4826	4.3276	0.3812
4.2184	128.0	4864	4.3246	0.3822
4.2156	129.0	4902	4.3210	0.3827
4.2116	130.0	4940	4.3187	0.3834
4.2008	131.0	4978	4.3165	0.3834
4.1995	132.0	5016	4.3134	0.3834
4.19	133.0	5054	4.3136	0.3842
4.1828	134.0	5092	4.3116	0.3842
4.1815	135.0	5130	4.3065	0.3847
4.1771	136.0	5168	4.3051	0.3839
4.1744	137.0	5206	4.3016	0.3847
4.1717	138.0	5244	4.2975	0.3847
4.1616	139.0	5282	4.2966	0.3847
4.1582	140.0	5320	4.2948	0.3847
4.1583	141.0	5358	4.2931	0.3849
4.148	142.0	5396	4.2894	0.3854
4.1417	143.0	5434	4.2861	0.3849
4.1386	144.0	5472	4.2865	0.3861
4.133	145.0	5510	4.2834	0.3861
4.129	146.0	5548	4.2793	0.3864
4.12	147.0	5586	4.2785	0.3861
4.1206	148.0	5624	4.2750	0.3864
4.1226	149.0	5662	4.2744	0.3871
4.1104	150.0	5700	4.2723	0.3866
4.1093	151.0	5738	4.2677	0.3871
4.0989	152.0	5776	4.2654	0.3869
4.1035	153.0	5814	4.2646	0.3878
4.0949	154.0	5852	4.2635	0.3881
4.0921	155.0	5890	4.2606	0.3883
4.0883	156.0	5928	4.2565	0.3886
4.0794	157.0	5966	4.2558	0.3893
4.0754	158.0	6004	4.2530	0.3888
4.0756	159.0	6042	4.2496	0.3893
4.067	160.0	6080	4.2501	0.3888
4.0627	161.0	6118	4.2484	0.3891
4.0586	162.0	6156	4.2439	0.3898
4.0577	163.0	6194	4.2431	0.3893
4.055	164.0	6232	4.2391	0.3895
4.0419	165.0	6270	4.2396	0.3895
4.0411	166.0	6308	4.2365	0.3903
4.0405	167.0	6346	4.2356	0.3908
4.0327	168.0	6384	4.2349	0.3905
4.0262	169.0	6422	4.2312	0.3913
4.0252	170.0	6460	4.2300	0.3913
4.0237	171.0	6498	4.2254	0.3915
4.024	172.0	6536	4.2248	0.3920
4.0137	173.0	6574	4.2218	0.3922
4.0108	174.0	6612	4.2224	0.3927
4.0037	175.0	6650	4.2190	0.3939
4.0021	176.0	6688	4.2180	0.3937
3.9949	177.0	6726	4.2150	0.3942
3.9957	178.0	6764	4.2135	0.3939
3.9923	179.0	6802	4.2094	0.3942
3.9853	180.0	6840	4.2092	0.3949
3.9779	181.0	6878	4.2086	0.3949
3.9826	182.0	6916	4.2045	0.3947
3.9775	183.0	6954	4.2012	0.3949
3.9706	184.0	6992	4.2005	0.3961
3.9672	185.0	7030	4.1992	0.3957
3.9707	186.0	7068	4.1964	0.3966
3.9585	187.0	7106	4.1951	0.3971
3.9552	188.0	7144	4.1927	0.3966
3.9526	189.0	7182	4.1922	0.3966
3.9514	190.0	7220	4.1886	0.3969
3.9464	191.0	7258	4.1886	0.3976
3.9433	192.0	7296	4.1856	0.3981
3.9378	193.0	7334	4.1846	0.3978
3.9362	194.0	7372	4.1831	0.3981
3.9307	195.0	7410	4.1820	0.3981
3.9324	196.0	7448	4.1767	0.3978
3.9223	197.0	7486	4.1794	0.3983
3.9279	198.0	7524	4.1752	0.3986
3.9214	199.0	7562	4.1727	0.3981
3.9122	200.0	7600	4.1746	0.3988
3.9099	201.0	7638	4.1698	0.3996
3.9075	202.0	7676	4.1692	0.3993
3.9095	203.0	7714	4.1661	0.4000
3.9	204.0	7752	4.1637	0.4008
3.9004	205.0	7790	4.1619	0.4003
3.8978	206.0	7828	4.1603	0.4005
3.8918	207.0	7866	4.1583	0.4005
3.8848	208.0	7904	4.1580	0.4008
3.8831	209.0	7942	4.1577	0.4000
3.8821	210.0	7980	4.1550	0.4005
3.8818	211.0	8018	4.1522	0.4008
3.8764	212.0	8056	4.1521	0.4008
3.8704	213.0	8094	4.1491	0.4010
3.8725	214.0	8132	4.1492	0.4010
3.8698	215.0	8170	4.1470	0.4010
3.8654	216.0	8208	4.1465	0.4018
3.8608	217.0	8246	4.1451	0.4020
3.8584	218.0	8284	4.1422	0.4015
3.8546	219.0	8322	4.1412	0.4025
3.8494	220.0	8360	4.1408	0.4022
3.8479	221.0	8398	4.1384	0.4025
3.8463	222.0	8436	4.1365	0.4025
3.8422	223.0	8474	4.1326	0.4030
3.8395	224.0	8512	4.1333	0.4022
3.8369	225.0	8550	4.1338	0.4035
3.8357	226.0	8588	4.1299	0.4047
3.8318	227.0	8626	4.1298	0.4042
3.8258	228.0	8664	4.1298	0.4040
3.8265	229.0	8702	4.1276	0.4044
3.8229	230.0	8740	4.1266	0.4042
3.8139	231.0	8778	4.1253	0.4042
3.8132	232.0	8816	4.1251	0.4047
3.8126	233.0	8854	4.1229	0.4047
3.8074	234.0	8892	4.1216	0.4064
3.8072	235.0	8930	4.1218	0.4066
3.8056	236.0	8968	4.1169	0.4066
3.8038	237.0	9006	4.1169	0.4066
3.8025	238.0	9044	4.1151	0.4066
3.7948	239.0	9082	4.1146	0.4069
3.7929	240.0	9120	4.1120	0.4066
3.7922	241.0	9158	4.1118	0.4069
3.7897	242.0	9196	4.1092	0.4076
3.7877	243.0	9234	4.1080	0.4079
3.7829	244.0	9272	4.1083	0.4071
3.7814	245.0	9310	4.1087	0.4076
3.781	246.0	9348	4.1043	0.4071
3.7728	247.0	9386	4.1022	0.4081
3.779	248.0	9424	4.1015	0.4081
3.7716	249.0	9462	4.1030	0.4079
3.7674	250.0	9500	4.0995	0.4079
3.7665	251.0	9538	4.0991	0.4086
3.7603	252.0	9576	4.1002	0.4074
3.7645	253.0	9614	4.0957	0.4086
3.7622	254.0	9652	4.0959	0.4084
3.7583	255.0	9690	4.0955	0.4084
3.752	256.0	9728	4.0930	0.4086
3.7545	257.0	9766	4.0912	0.4091
3.7447	258.0	9804	4.0923	0.4091
3.7483	259.0	9842	4.0894	0.4086
3.7428	260.0	9880	4.0910	0.4086
3.7407	261.0	9918	4.0877	0.4086
3.7405	262.0	9956	4.0891	0.4091
3.7354	263.0	9994	4.0870	0.4088
3.7353	264.0	10032	4.0856	0.4086
3.7312	265.0	10070	4.0838	0.4091
3.7313	266.0	10108	4.0829	0.4091
3.7264	267.0	10146	4.0827	0.4091
3.7221	268.0	10184	4.0815	0.4093
3.7211	269.0	10222	4.0801	0.4091
3.7232	270.0	10260	4.0787	0.4093
3.718	271.0	10298	4.0780	0.4101
3.7208	272.0	10336	4.0771	0.4108
3.7109	273.0	10374	4.0766	0.4115
3.7146	274.0	10412	4.0739	0.4110
3.7071	275.0	10450	4.0737	0.4118
3.7044	276.0	10488	4.0742	0.4123
3.7094	277.0	10526	4.0719	0.4125
3.7028	278.0	10564	4.0718	0.4120
3.7051	279.0	10602	4.0699	0.4120
3.7011	280.0	10640	4.0681	0.4125
3.6954	281.0	10678	4.0668	0.4120
3.6933	282.0	10716	4.0669	0.4123
3.6935	283.0	10754	4.0638	0.4125
3.6867	284.0	10792	4.0650	0.4125
3.6888	285.0	10830	4.0641	0.4120
3.6843	286.0	10868	4.0638	0.4115
3.6824	287.0	10906	4.0621	0.4125
3.6821	288.0	10944	4.0603	0.4123
3.6802	289.0	10982	4.0622	0.4125
3.6789	290.0	11020	4.0579	0.4128
3.6767	291.0	11058	4.0579	0.4130
3.6751	292.0	11096	4.0582	0.4137
3.6726	293.0	11134	4.0556	0.4137
3.6704	294.0	11172	4.0583	0.4137
3.6703	295.0	11210	4.0556	0.4142
3.6662	296.0	11248	4.0518	0.4147
3.6643	297.0	11286	4.0521	0.4147
3.6623	298.0	11324	4.0544	0.4145
3.6626	299.0	11362	4.0518	0.4147
3.661	300.0	11400	4.0496	0.4147
3.6553	301.0	11438	4.0482	0.4150
3.6573	302.0	11476	4.0472	0.4147
3.6548	303.0	11514	4.0460	0.4152
3.6531	304.0	11552	4.0470	0.4147
3.6549	305.0	11590	4.0461	0.4150
3.6485	306.0	11628	4.0461	0.4147
3.6441	307.0	11666	4.0465	0.4150
3.6438	308.0	11704	4.0425	0.4159
3.6435	309.0	11742	4.0410	0.4157
3.6397	310.0	11780	4.0407	0.4159
3.6363	311.0	11818	4.0424	0.4154
3.6315	312.0	11856	4.0436	0.4154
3.6323	313.0	11894	4.0409	0.4157
3.6386	314.0	11932	4.0386	0.4157
3.6303	315.0	11970	4.0389	0.4154
3.6336	316.0	12008	4.0394	0.4164
3.6281	317.0	12046	4.0389	0.4167
3.6249	318.0	12084	4.0379	0.4176
3.6277	319.0	12122	4.0371	0.4176
3.6232	320.0	12160	4.0353	0.4172
3.6177	321.0	12198	4.0363	0.4176
3.626	322.0	12236	4.0319	0.4174
3.6181	323.0	12274	4.0319	0.4172
3.6183	324.0	12312	4.0329	0.4176
3.6169	325.0	12350	4.0328	0.4176
3.6094	326.0	12388	4.0318	0.4179
3.6138	327.0	12426	4.0294	0.4179
3.6101	328.0	12464	4.0311	0.4181
3.6062	329.0	12502	4.0299	0.4184
3.6093	330.0	12540	4.0276	0.4181
3.6071	331.0	12578	4.0301	0.4181
3.6064	332.0	12616	4.0277	0.4184
3.5982	333.0	12654	4.0288	0.4184
3.6064	334.0	12692	4.0256	0.4179
3.6023	335.0	12730	4.0252	0.4184
3.5992	336.0	12768	4.0240	0.4186
3.5997	337.0	12806	4.0237	0.4189
3.5955	338.0	12844	4.0235	0.4186
3.5929	339.0	12882	4.0233	0.4186
3.5953	340.0	12920	4.0210	0.4189
3.5915	341.0	12958	4.0210	0.4184
3.5835	342.0	12996	4.0226	0.4189
3.5852	343.0	13034	4.0227	0.4189
3.5894	344.0	13072	4.0222	0.4191
3.5864	345.0	13110	4.0227	0.4194
3.5854	346.0	13148	4.0190	0.4194
3.5841	347.0	13186	4.0180	0.4191
3.5821	348.0	13224	4.0189	0.4194
3.5823	349.0	13262	4.0176	0.4191
3.5772	350.0	13300	4.0164	0.4191
3.5827	351.0	13338	4.0147	0.4186
3.5747	352.0	13376	4.0148	0.4194
3.5745	353.0	13414	4.0169	0.4194
3.576	354.0	13452	4.0162	0.4194
3.5723	355.0	13490	4.0123	0.4194
3.5669	356.0	13528	4.0144	0.4196
3.5721	357.0	13566	4.0136	0.4189
3.5725	358.0	13604	4.0124	0.4194
3.5627	359.0	13642	4.0129	0.4196
3.5632	360.0	13680	4.0127	0.4194
3.5641	361.0	13718	4.0104	0.4196
3.5636	362.0	13756	4.0100	0.4194
3.5566	363.0	13794	4.0127	0.4194
3.5556	364.0	13832	4.0131	0.4198
3.5606	365.0	13870	4.0108	0.4194
3.5573	366.0	13908	4.0095	0.4196
3.5603	367.0	13946	4.0079	0.4191
3.5552	368.0	13984	4.0073	0.4191
3.5594	369.0	14022	4.0080	0.4194
3.5557	370.0	14060	4.0067	0.4194
3.5523	371.0	14098	4.0065	0.4196
3.5516	372.0	14136	4.0070	0.4194
3.5466	373.0	14174	4.0073	0.4196
3.5474	374.0	14212	4.0040	0.4194
3.5481	375.0	14250	4.0032	0.4196
3.5496	376.0	14288	4.0051	0.4194
3.5489	377.0	14326	4.0035	0.4194
3.5439	378.0	14364	4.0032	0.4198
3.5464	379.0	14402	4.0029	0.4206
3.5455	380.0	14440	4.0037	0.4198
3.5439	381.0	14478	4.0024	0.4206
3.542	382.0	14516	4.0011	0.4203
3.5366	383.0	14554	4.0011	0.4203
3.5368	384.0	14592	4.0015	0.4206
3.5382	385.0	14630	4.0018	0.4211
3.5358	386.0	14668	4.0002	0.4201
3.5324	387.0	14706	3.9990	0.4198
3.5378	388.0	14744	4.0002	0.4206
3.5334	389.0	14782	3.9985	0.4208
3.5349	390.0	14820	3.9987	0.4211
3.5378	391.0	14858	3.9984	0.4211
3.5304	392.0	14896	3.9977	0.4206
3.5241	393.0	14934	3.9985	0.4213
3.527	394.0	14972	3.9997	0.4211
3.5261	395.0	15010	3.9985	0.4211
3.5233	396.0	15048	3.9983	0.4216
3.5279	397.0	15086	3.9966	0.4213
3.5276	398.0	15124	3.9958	0.4213
3.5214	399.0	15162	3.9957	0.4213
3.5222	400.0	15200	3.9958	0.4211
3.5163	401.0	15238	3.9957	0.4213
3.5208	402.0	15276	3.9953	0.4218
3.5168	403.0	15314	3.9949	0.4218
3.5242	404.0	15352	3.9941	0.4216
3.5205	405.0	15390	3.9937	0.4213
3.5158	406.0	15428	3.9949	0.4218
3.517	407.0	15466	3.9939	0.4213
3.519	408.0	15504	3.9944	0.4216
3.5164	409.0	15542	3.9929	0.4213
3.5133	410.0	15580	3.9925	0.4211
3.5199	411.0	15618	3.9906	0.4211
3.5117	412.0	15656	3.9920	0.4216
3.5151	413.0	15694	3.9906	0.4218
3.5093	414.0	15732	3.9914	0.4218
3.512	415.0	15770	3.9909	0.4216
3.5076	416.0	15808	3.9912	0.4218
3.5059	417.0	15846	3.9916	0.4220
3.5096	418.0	15884	3.9907	0.4213
3.5038	419.0	15922	3.9902	0.4213
3.5089	420.0	15960	3.9895	0.4216
3.5091	421.0	15998	3.9893	0.4213
3.5101	422.0	16036	3.9890	0.4218
3.5061	423.0	16074	3.9900	0.4220
3.5048	424.0	16112	3.9888	0.4218
3.501	425.0	16150	3.9881	0.4218
3.5067	426.0	16188	3.9877	0.4218
3.5037	427.0	16226	3.9866	0.4223
3.5052	428.0	16264	3.9855	0.4223
3.5049	429.0	16302	3.9862	0.4223
3.5017	430.0	16340	3.9873	0.4228
3.5038	431.0	16378	3.9872	0.4228
3.5072	432.0	16416	3.9853	0.4225
3.5009	433.0	16454	3.9849	0.4225
3.5023	434.0	16492	3.9856	0.4228
3.4982	435.0	16530	3.9860	0.4228
3.4927	436.0	16568	3.9859	0.4230
3.4959	437.0	16606	3.9861	0.4230
3.4984	438.0	16644	3.9860	0.4228
3.5005	439.0	16682	3.9847	0.4230
3.4947	440.0	16720	3.9845	0.4230
3.4964	441.0	16758	3.9843	0.4230
3.4955	442.0	16796	3.9844	0.4233
3.4923	443.0	16834	3.9843	0.4233
3.4993	444.0	16872	3.9842	0.4230
3.4889	445.0	16910	3.9846	0.4233
3.487	446.0	16948	3.9855	0.4233
3.4965	447.0	16986	3.9851	0.4233
3.4873	448.0	17024	3.9852	0.4233
3.4936	449.0	17062	3.9847	0.4233
3.494	450.0	17100	3.9841	0.4233
3.4855	451.0	17138	3.9836	0.4233
3.4898	452.0	17176	3.9830	0.4230
3.4866	453.0	17214	3.9831	0.4233
3.4866	454.0	17252	3.9831	0.4235
3.4886	455.0	17290	3.9836	0.4238
3.4874	456.0	17328	3.9838	0.4238
3.486	457.0	17366	3.9838	0.4238
3.4869	458.0	17404	3.9835	0.4235
3.4845	459.0	17442	3.9833	0.4238
3.4849	460.0	17480	3.9825	0.4238
3.4841	461.0	17518	3.9818	0.4235
3.4924	462.0	17556	3.9814	0.4235
3.571	463.0	17594	3.9815	0.4235
3.4811	464.0	17632	3.9813	0.4235
3.4851	465.0	17670	3.9810	0.4235
3.4776	466.0	17708	3.9813	0.4238
3.4849	467.0	17746	3.9810	0.4235
3.4766	468.0	17784	3.9813	0.4238
3.4791	469.0	17822	3.9815	0.4238
3.4814	470.0	17860	3.9813	0.4238
3.4861	471.0	17898	3.9809	0.4238
3.4861	472.0	17936	3.9806	0.4235
3.4825	473.0	17974	3.9809	0.4235
3.4758	474.0	18012	3.9811	0.4235
3.4811	475.0	18050	3.9807	0.4235
3.4831	476.0	18088	3.9808	0.4238
3.4837	477.0	18126	3.9803	0.4238
3.4843	478.0	18164	3.9803	0.4240
3.4825	479.0	18202	3.9802	0.4240
3.4807	480.0	18240	3.9800	0.4240
3.4808	481.0	18278	3.9797	0.4240
3.4805	482.0	18316	3.9797	0.4240
3.4818	483.0	18354	3.9796	0.4240
3.4821	484.0	18392	3.9794	0.4240
3.4802	485.0	18430	3.9794	0.4240
3.4805	486.0	18468	3.9796	0.4240
3.4831	487.0	18506	3.9796	0.4240
3.4846	488.0	18544	3.9798	0.4240
3.4824	489.0	18582	3.9798	0.4240
3.4807	490.0	18620	3.9799	0.4240
3.4809	491.0	18658	3.9799	0.4240
3.4801	492.0	18696	3.9799	0.4238
3.479	493.0	18734	3.9799	0.4238
3.48	494.0	18772	3.9799	0.4238
3.4828	495.0	18810	3.9799	0.4238
3.4812	496.0	18848	3.9799	0.4238
3.4798	497.0	18886	3.9799	0.4238
3.4866	498.0	18924	3.9799	0.4238
3.4785	499.0	18962	3.9799	0.4238
3.4893	500.0	19000	3.9799	0.4238

Framework versions

• Transformers 4.38.0.dev0
• Pytorch 2.2.0
• Datasets 2.16.1
• Tokenizers 0.15.1