mae-vit-base-patch32-224-ct

This model is a fine-tuned version of google/vit-base-patch32-224-in21k on the imagefolder dataset. It achieves the following results on the evaluation set:

• Loss: 0.3803

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: 0.00015
• train_batch_size: 256
• eval_batch_size: 256
• seed: 1337
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• lr_scheduler_warmup_ratio: 0.05
• num_epochs: 1200.0

Training results

Training Loss	Epoch	Step	Validation Loss
1.1257	1.0	51	1.1119
1.0507	2.0	102	1.0434
1.0046	3.0	153	0.9988
0.9761	4.0	204	0.9725
0.9572	5.0	255	0.9529
0.9357	6.0	306	0.9304
0.9128	7.0	357	0.9100
0.9037	8.0	408	0.9004
0.8984	9.0	459	0.8941
0.8904	10.0	510	0.8896
0.8846	11.0	561	0.8802
0.8748	12.0	612	0.8775
0.8692	13.0	663	0.8685
0.8656	14.0	714	0.8665
0.8634	15.0	765	0.8607
0.8565	16.0	816	0.8561
0.8555	17.0	867	0.8548
0.8521	18.0	918	0.8464
0.8478	19.0	969	0.8449
0.847	20.0	1020	0.8455
0.842	21.0	1071	0.8378
0.8385	22.0	1122	0.8358
0.8319	23.0	1173	0.8332
0.8267	24.0	1224	0.8347
0.8266	25.0	1275	0.8247
0.8242	26.0	1326	0.8242
0.8215	27.0	1377	0.8192
0.8171	28.0	1428	0.8213
0.8176	29.0	1479	0.8160
0.8122	30.0	1530	0.8128
0.8107	31.0	1581	0.8036
0.8069	32.0	1632	0.8069
0.8081	33.0	1683	0.8023
0.8043	34.0	1734	0.8048
0.8071	35.0	1785	0.8082
0.8017	36.0	1836	0.7971
0.7965	37.0	1887	0.7953
0.7953	38.0	1938	0.8112
0.7979	39.0	1989	0.7955
0.7887	40.0	2040	0.7966
0.7866	41.0	2091	0.7879
0.7862	42.0	2142	0.7828
0.7836	43.0	2193	0.7865
0.7851	44.0	2244	0.7830
0.7813	45.0	2295	0.7840
0.78	46.0	2346	0.7749
0.779	47.0	2397	0.7825
0.7762	48.0	2448	0.7712
0.7676	49.0	2499	0.7675
0.7638	50.0	2550	0.7645
0.7826	51.0	2601	0.7879
0.7728	52.0	2652	0.7730
0.7629	53.0	2703	0.7606
0.7819	54.0	2754	0.7718
0.7802	55.0	2805	0.7809
0.7632	56.0	2856	0.7577
0.7567	57.0	2907	0.7654
0.7564	58.0	2958	0.7574
0.7535	59.0	3009	0.7555
0.75	60.0	3060	0.7484
0.7512	61.0	3111	0.7487
0.7493	62.0	3162	0.7462
0.742	63.0	3213	0.7450
0.7469	64.0	3264	0.7464
0.7449	65.0	3315	0.7393
0.7321	66.0	3366	0.7425
0.7411	67.0	3417	0.7391
0.7394	68.0	3468	0.7413
0.7301	69.0	3519	0.7344
0.7208	70.0	3570	0.7256
0.7211	71.0	3621	0.7225
0.7273	72.0	3672	0.7264
0.7267	73.0	3723	0.7221
0.7222	74.0	3774	0.7256
0.7175	75.0	3825	0.7202
0.7174	76.0	3876	0.7149
0.7143	77.0	3927	0.7127
0.7106	78.0	3978	0.7061
0.7188	79.0	4029	0.7153
0.7103	80.0	4080	0.7086
0.7055	81.0	4131	0.7098
0.7026	82.0	4182	0.7075
0.7191	83.0	4233	0.7127
0.7027	84.0	4284	0.7172
0.6981	85.0	4335	0.7070
0.7064	86.0	4386	0.7029
0.6943	87.0	4437	0.7046
0.7025	88.0	4488	0.7036
0.6959	89.0	4539	0.7094
0.6988	90.0	4590	0.6917
0.6912	91.0	4641	0.6926
0.689	92.0	4692	0.6881
0.687	93.0	4743	0.6866
0.6867	94.0	4794	0.6873
0.6832	95.0	4845	0.6820
0.6863	96.0	4896	0.6809
0.6908	97.0	4947	0.6792
0.6891	98.0	4998	0.6796
0.6803	99.0	5049	0.6793
0.6755	100.0	5100	0.6738
0.6735	101.0	5151	0.6750
0.6727	102.0	5202	0.6729
0.6695	103.0	5253	0.6734
0.6678	104.0	5304	0.6702
0.671	105.0	5355	0.6720
0.6654	106.0	5406	0.6686
0.669	107.0	5457	0.6683
0.6628	108.0	5508	0.6639
0.6655	109.0	5559	0.6663
0.6637	110.0	5610	0.6651
0.6643	111.0	5661	0.6639
0.6607	112.0	5712	0.6561
0.6598	113.0	5763	0.6591
0.6589	114.0	5814	0.6610
0.6566	115.0	5865	0.6566
0.6706	116.0	5916	0.6749
0.6688	117.0	5967	0.6670
0.6657	118.0	6018	0.6599
0.6611	119.0	6069	0.6567
0.6528	120.0	6120	0.6591
0.652	121.0	6171	0.6566
0.6488	122.0	6222	0.6528
0.6538	123.0	6273	0.6558
0.6457	124.0	6324	0.6509
0.643	125.0	6375	0.6462
0.6433	126.0	6426	0.6459
0.6451	127.0	6477	0.6454
0.6413	128.0	6528	0.6441
0.6407	129.0	6579	0.6409
0.6381	130.0	6630	0.6422
0.6408	131.0	6681	0.6432
0.6404	132.0	6732	0.6408
0.6412	133.0	6783	0.6354
0.6348	134.0	6834	0.6350
0.6307	135.0	6885	0.6389
0.639	136.0	6936	0.6417
0.6319	137.0	6987	0.6353
0.6306	138.0	7038	0.6385
0.6307	139.0	7089	0.6412
0.6343	140.0	7140	0.6308
0.6289	141.0	7191	0.6337
0.6298	142.0	7242	0.6342
0.6284	143.0	7293	0.6287
0.624	144.0	7344	0.6305
0.6266	145.0	7395	0.6338
0.6253	146.0	7446	0.6281
0.6204	147.0	7497	0.6241
0.6232	148.0	7548	0.6222
0.6213	149.0	7599	0.6201
0.6225	150.0	7650	0.6237
0.6228	151.0	7701	0.6193
0.6191	152.0	7752	0.6200
0.6198	153.0	7803	0.6229
0.6183	154.0	7854	0.6213
0.6181	155.0	7905	0.6213
0.6168	156.0	7956	0.6164
0.6156	157.0	8007	0.6160
0.6125	158.0	8058	0.6153
0.6126	159.0	8109	0.6151
0.6115	160.0	8160	0.6163
0.611	161.0	8211	0.6167
0.6099	162.0	8262	0.6083
0.6089	163.0	8313	0.6104
0.6091	164.0	8364	0.6140
0.6105	165.0	8415	0.6122
0.61	166.0	8466	0.6106
0.6104	167.0	8517	0.6062
0.6067	168.0	8568	0.6095
0.6056	169.0	8619	0.6067
0.607	170.0	8670	0.6091
0.6032	171.0	8721	0.6041
0.6038	172.0	8772	0.6104
0.605	173.0	8823	0.6068
0.6036	174.0	8874	0.6005
0.6035	175.0	8925	0.6055
0.6026	176.0	8976	0.6014
0.6012	177.0	9027	0.6029
0.5945	178.0	9078	0.5967
0.6011	179.0	9129	0.5921
0.5929	180.0	9180	0.5991
0.5981	181.0	9231	0.5954
0.6011	182.0	9282	0.6007
0.5977	183.0	9333	0.6013
0.5947	184.0	9384	0.6023
0.59	185.0	9435	0.5968
0.5924	186.0	9486	0.5987
0.5906	187.0	9537	0.5915
0.5928	188.0	9588	0.5877
0.5849	189.0	9639	0.5911
0.5913	190.0	9690	0.5954
0.5863	191.0	9741	0.5906
0.588	192.0	9792	0.5942
0.5906	193.0	9843	0.5924
0.5927	194.0	9894	0.5911
0.5857	195.0	9945	0.5852
0.5859	196.0	9996	0.5910
0.5775	197.0	10047	0.5853
0.586	198.0	10098	0.5877
0.5853	199.0	10149	0.5848
0.5824	200.0	10200	0.5854
0.5797	201.0	10251	0.5834
0.5857	202.0	10302	0.5792
0.5863	203.0	10353	0.5824
0.5826	204.0	10404	0.5838
0.579	205.0	10455	0.5808
0.5758	206.0	10506	0.5810
0.5798	207.0	10557	0.5782
0.576	208.0	10608	0.5818
0.5717	209.0	10659	0.5826
0.5774	210.0	10710	0.5800
0.5724	211.0	10761	0.5813
0.5706	212.0	10812	0.5755
0.5737	213.0	10863	0.5788
0.5791	214.0	10914	0.5769
0.5712	215.0	10965	0.5767
0.567	216.0	11016	0.5790
0.5671	217.0	11067	0.5734
0.5733	218.0	11118	0.5722
0.5673	219.0	11169	0.5806
0.5713	220.0	11220	0.5764
0.5669	221.0	11271	0.5694
0.5669	222.0	11322	0.5749
0.5665	223.0	11373	0.5732
0.5676	224.0	11424	0.5676
0.5621	225.0	11475	0.5677
0.5623	226.0	11526	0.5715
0.5695	227.0	11577	0.5676
0.5657	228.0	11628	0.5667
0.565	229.0	11679	0.5644
0.5617	230.0	11730	0.5650
0.5587	231.0	11781	0.5637
0.5591	232.0	11832	0.5652
0.5607	233.0	11883	0.5648
0.559	234.0	11934	0.5681
0.5601	235.0	11985	0.5637
0.5605	236.0	12036	0.5697
0.5555	237.0	12087	0.5593
0.5602	238.0	12138	0.5683
0.5647	239.0	12189	0.5629
0.5575	240.0	12240	0.5611
0.5577	241.0	12291	0.5588
0.5514	242.0	12342	0.5584
0.5581	243.0	12393	0.5566
0.555	244.0	12444	0.5563
0.5571	245.0	12495	0.5541
0.5549	246.0	12546	0.5541
0.5521	247.0	12597	0.5521
0.55	248.0	12648	0.5567
0.5518	249.0	12699	0.5559
0.5522	250.0	12750	0.5536
0.5481	251.0	12801	0.5504
0.5516	252.0	12852	0.5563
0.5524	253.0	12903	0.5503
0.5582	254.0	12954	0.5519
0.5514	255.0	13005	0.5504
0.5498	256.0	13056	0.5520
0.5481	257.0	13107	0.5540
0.551	258.0	13158	0.5503
0.5495	259.0	13209	0.5491
0.5483	260.0	13260	0.5461
0.5468	261.0	13311	0.5586
0.5454	262.0	13362	0.5495
0.5447	263.0	13413	0.5455
0.5475	264.0	13464	0.5511
0.5439	265.0	13515	0.5453
0.542	266.0	13566	0.5477
0.5437	267.0	13617	0.5502
0.5452	268.0	13668	0.5432
0.5397	269.0	13719	0.5443
0.5424	270.0	13770	0.5410
0.5391	271.0	13821	0.5420
0.5368	272.0	13872	0.5402
0.5387	273.0	13923	0.5401
0.5362	274.0	13974	0.5414
0.5374	275.0	14025	0.5418
0.5375	276.0	14076	0.5415
0.5427	277.0	14127	0.5436
0.5382	278.0	14178	0.5366
0.5341	279.0	14229	0.5411
0.5348	280.0	14280	0.5377
0.5339	281.0	14331	0.5393
0.5359	282.0	14382	0.5359
0.536	283.0	14433	0.5368
0.5362	284.0	14484	0.5384
0.532	285.0	14535	0.5346
0.5298	286.0	14586	0.5376
0.5352	287.0	14637	0.5373
0.5344	288.0	14688	0.5359
0.5399	289.0	14739	0.5427
0.5329	290.0	14790	0.5349
0.531	291.0	14841	0.5321
0.5317	292.0	14892	0.5361
0.5303	293.0	14943	0.5296
0.5291	294.0	14994	0.5312
0.5335	295.0	15045	0.5244
0.5309	296.0	15096	0.5252
0.5251	297.0	15147	0.5310
0.5266	298.0	15198	0.5301
0.5279	299.0	15249	0.5308
0.5261	300.0	15300	0.5250
0.5214	301.0	15351	0.5252
0.5269	302.0	15402	0.5306
0.5229	303.0	15453	0.5264
0.5234	304.0	15504	0.5263
0.5271	305.0	15555	0.5280
0.525	306.0	15606	0.5233
0.5216	307.0	15657	0.5211
0.5247	308.0	15708	0.5246
0.5203	309.0	15759	0.5279
0.5201	310.0	15810	0.5246
0.5254	311.0	15861	0.5306
0.5166	312.0	15912	0.5224
0.525	313.0	15963	0.5192
0.5224	314.0	16014	0.5247
0.5195	315.0	16065	0.5230
0.5189	316.0	16116	0.5239
0.5226	317.0	16167	0.5180
0.5166	318.0	16218	0.5197
0.5159	319.0	16269	0.5156
0.5156	320.0	16320	0.5204
0.5179	321.0	16371	0.5215
0.5194	322.0	16422	0.5211
0.519	323.0	16473	0.5212
0.5112	324.0	16524	0.5175
0.5163	325.0	16575	0.5225
0.5165	326.0	16626	0.5172
0.5104	327.0	16677	0.5200
0.51	328.0	16728	0.5156
0.5129	329.0	16779	0.5160
0.5084	330.0	16830	0.5207
0.5159	331.0	16881	0.5147
0.5126	332.0	16932	0.5159
0.5132	333.0	16983	0.5156
0.5092	334.0	17034	0.5151
0.5116	335.0	17085	0.5147
0.5113	336.0	17136	0.5121
0.5076	337.0	17187	0.5101
0.5106	338.0	17238	0.5111
0.5117	339.0	17289	0.5094
0.5086	340.0	17340	0.5132
0.5034	341.0	17391	0.5162
0.5061	342.0	17442	0.5142
0.5101	343.0	17493	0.5136
0.5042	344.0	17544	0.5135
0.5091	345.0	17595	0.5083
0.5095	346.0	17646	0.5112
0.5058	347.0	17697	0.5121
0.504	348.0	17748	0.5082
0.5016	349.0	17799	0.5075
0.5042	350.0	17850	0.5090
0.5036	351.0	17901	0.5089
0.5045	352.0	17952	0.5095
0.5067	353.0	18003	0.5087
0.5026	354.0	18054	0.5064
0.5001	355.0	18105	0.5055
0.5036	356.0	18156	0.5057
0.5012	357.0	18207	0.5083
0.5031	358.0	18258	0.5110
0.5021	359.0	18309	0.5128
0.4973	360.0	18360	0.5014
0.4988	361.0	18411	0.5028
0.5013	362.0	18462	0.5035
0.5001	363.0	18513	0.5040
0.4972	364.0	18564	0.5056
0.4994	365.0	18615	0.5070
0.5005	366.0	18666	0.5070
0.4993	367.0	18717	0.5053
0.4975	368.0	18768	0.5036
0.4967	369.0	18819	0.5026
0.4968	370.0	18870	0.5011
0.498	371.0	18921	0.4990
0.5022	372.0	18972	0.5032
0.4959	373.0	19023	0.4972
0.4921	374.0	19074	0.4967
0.4936	375.0	19125	0.4967
0.496	376.0	19176	0.5000
0.4941	377.0	19227	0.4980
0.4937	378.0	19278	0.4975
0.4979	379.0	19329	0.4975
0.4996	380.0	19380	0.4932
0.4961	381.0	19431	0.4983
0.4903	382.0	19482	0.4974
0.4899	383.0	19533	0.4953
0.4924	384.0	19584	0.4953
0.4895	385.0	19635	0.4964
0.4965	386.0	19686	0.5006
0.4896	387.0	19737	0.4938
0.497	388.0	19788	0.4956
0.4924	389.0	19839	0.4960
0.4904	390.0	19890	0.4972
0.5	391.0	19941	0.4958
0.4961	392.0	19992	0.4906
0.491	393.0	20043	0.4918
0.4878	394.0	20094	0.4954
0.4881	395.0	20145	0.4916
0.49	396.0	20196	0.4946
0.4881	397.0	20247	0.4924
0.4871	398.0	20298	0.4959
0.492	399.0	20349	0.4867
0.4883	400.0	20400	0.4891
0.4864	401.0	20451	0.4946
0.4898	402.0	20502	0.4922
0.4841	403.0	20553	0.4902
0.4879	404.0	20604	0.4921
0.4801	405.0	20655	0.4914
0.4877	406.0	20706	0.4882
0.4858	407.0	20757	0.4882
0.4856	408.0	20808	0.4872
0.4825	409.0	20859	0.4871
0.4865	410.0	20910	0.4853
0.4834	411.0	20961	0.4908
0.4815	412.0	21012	0.4847
0.4828	413.0	21063	0.4919
0.487	414.0	21114	0.4899
0.4842	415.0	21165	0.4876
0.4902	416.0	21216	0.4873
0.4809	417.0	21267	0.4913
0.4825	418.0	21318	0.4832
0.4797	419.0	21369	0.4872
0.4852	420.0	21420	0.4868
0.4879	421.0	21471	0.4833
0.4823	422.0	21522	0.4824
0.4729	423.0	21573	0.4793
0.4825	424.0	21624	0.4812
0.4739	425.0	21675	0.4831
0.4767	426.0	21726	0.4848
0.4806	427.0	21777	0.4858
0.4736	428.0	21828	0.4831
0.4857	429.0	21879	0.4785
0.4819	430.0	21930	0.4805
0.4767	431.0	21981	0.4845
0.4765	432.0	22032	0.4803
0.4785	433.0	22083	0.4826
0.4758	434.0	22134	0.4814
0.4677	435.0	22185	0.4815
0.4735	436.0	22236	0.4811
0.4764	437.0	22287	0.4749
0.4743	438.0	22338	0.4846
0.4736	439.0	22389	0.4825
0.4732	440.0	22440	0.4783
0.4706	441.0	22491	0.4810
0.4735	442.0	22542	0.4780
0.4796	443.0	22593	0.4881
0.4724	444.0	22644	0.4785
0.4701	445.0	22695	0.4753
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0.3801	895.0	45645	0.3941
0.3832	896.0	45696	0.3930
0.3886	897.0	45747	0.3933
0.3871	898.0	45798	0.3917
0.3892	899.0	45849	0.3927
0.3864	900.0	45900	0.3934
0.3827	901.0	45951	0.3916
0.3838	902.0	46002	0.3932
0.3859	903.0	46053	0.3901
0.382	904.0	46104	0.3918
0.3824	905.0	46155	0.3939
0.3799	906.0	46206	0.3907
0.3851	907.0	46257	0.3891
0.3854	908.0	46308	0.3885
0.3855	909.0	46359	0.3912
0.3855	910.0	46410	0.3912
0.3799	911.0	46461	0.3882
0.387	912.0	46512	0.3894
0.3792	913.0	46563	0.3887
0.3831	914.0	46614	0.3875
0.3821	915.0	46665	0.3863
0.3853	916.0	46716	0.3884
0.381	917.0	46767	0.3873
0.3847	918.0	46818	0.3850
0.3813	919.0	46869	0.3875
0.3853	920.0	46920	0.3860
0.3849	921.0	46971	0.3880
0.3771	922.0	47022	0.3891
0.3815	923.0	47073	0.3887
0.3827	924.0	47124	0.3902
0.3828	925.0	47175	0.3900
0.3861	926.0	47226	0.3915
0.383	927.0	47277	0.3911
0.3785	928.0	47328	0.3837
0.3825	929.0	47379	0.3879
0.3793	930.0	47430	0.3921
0.3836	931.0	47481	0.3893
0.3858	932.0	47532	0.3874
0.387	933.0	47583	0.3881
0.3855	934.0	47634	0.3863
0.3813	935.0	47685	0.3833
0.3787	936.0	47736	0.3876
0.3834	937.0	47787	0.3870
0.3807	938.0	47838	0.3839
0.3788	939.0	47889	0.3863
0.3788	940.0	47940	0.3847
0.3819	941.0	47991	0.3876
0.3814	942.0	48042	0.3845
0.3817	943.0	48093	0.3830
0.3838	944.0	48144	0.3880
0.3787	945.0	48195	0.3880
0.3812	946.0	48246	0.3884
0.3806	947.0	48297	0.3891
0.3816	948.0	48348	0.3855
0.3813	949.0	48399	0.3847
0.3811	950.0	48450	0.3847
0.3776	951.0	48501	0.3831
0.3794	952.0	48552	0.3867
0.3782	953.0	48603	0.3812
0.3834	954.0	48654	0.3852
0.3785	955.0	48705	0.3830
0.3789	956.0	48756	0.3852
0.3801	957.0	48807	0.3882
0.3771	958.0	48858	0.3842
0.3808	959.0	48909	0.3840
0.3762	960.0	48960	0.3849
0.3777	961.0	49011	0.3842
0.3781	962.0	49062	0.3874
0.3781	963.0	49113	0.3838
0.376	964.0	49164	0.3863
0.3777	965.0	49215	0.3827
0.3808	966.0	49266	0.3853
0.3835	967.0	49317	0.3869
0.3801	968.0	49368	0.3859
0.3839	969.0	49419	0.3841
0.3768	970.0	49470	0.3849
0.3797	971.0	49521	0.3844
0.3763	972.0	49572	0.3855
0.3788	973.0	49623	0.3832
0.374	974.0	49674	0.3858
0.3785	975.0	49725	0.3805
0.3752	976.0	49776	0.3855
0.3752	977.0	49827	0.3827
0.3779	978.0	49878	0.3826
0.3769	979.0	49929	0.3824
0.3778	980.0	49980	0.3848
0.3749	981.0	50031	0.3831
0.3756	982.0	50082	0.3879
0.3739	983.0	50133	0.3830
0.3769	984.0	50184	0.3845
0.3737	985.0	50235	0.3894
0.3769	986.0	50286	0.3815
0.373	987.0	50337	0.3797
0.374	988.0	50388	0.3827
0.3778	989.0	50439	0.3844
0.3773	990.0	50490	0.3846
0.3759	991.0	50541	0.3826
0.3752	992.0	50592	0.3843
0.3747	993.0	50643	0.3817
0.3781	994.0	50694	0.3784
0.3751	995.0	50745	0.3832
0.3758	996.0	50796	0.3800
0.3718	997.0	50847	0.3837
0.3745	998.0	50898	0.3823
0.3757	999.0	50949	0.3798
0.3786	1000.0	51000	0.3794
0.3738	1001.0	51051	0.3781
0.3779	1002.0	51102	0.3851
0.3735	1003.0	51153	0.3844
0.3753	1004.0	51204	0.3841
0.3701	1005.0	51255	0.3805
0.3738	1006.0	51306	0.3826
0.3729	1007.0	51357	0.3793
0.3765	1008.0	51408	0.3825
0.3725	1009.0	51459	0.3817
0.3766	1010.0	51510	0.3813
0.3736	1011.0	51561	0.3834
0.3747	1012.0	51612	0.3800
0.3726	1013.0	51663	0.3817
0.3819	1014.0	51714	0.3840
0.3799	1015.0	51765	0.3834
0.3754	1016.0	51816	0.3818
0.3762	1017.0	51867	0.3769
0.3718	1018.0	51918	0.3794
0.3785	1019.0	51969	0.3825
0.3754	1020.0	52020	0.3827
0.374	1021.0	52071	0.3818
0.3785	1022.0	52122	0.3780
0.3735	1023.0	52173	0.3815
0.3726	1024.0	52224	0.3794
0.3798	1025.0	52275	0.3787
0.3714	1026.0	52326	0.3810
0.3776	1027.0	52377	0.3787
0.3688	1028.0	52428	0.3771
0.375	1029.0	52479	0.3776
0.372	1030.0	52530	0.3795
0.3736	1031.0	52581	0.3781
0.3713	1032.0	52632	0.3815
0.3772	1033.0	52683	0.3802
0.375	1034.0	52734	0.3788
0.3725	1035.0	52785	0.3819
0.3696	1036.0	52836	0.3836
0.3741	1037.0	52887	0.3814
0.3734	1038.0	52938	0.3799
0.3759	1039.0	52989	0.3789
0.3726	1040.0	53040	0.3802
0.3693	1041.0	53091	0.3769
0.3705	1042.0	53142	0.3812
0.3691	1043.0	53193	0.3806
0.3736	1044.0	53244	0.3796
0.3707	1045.0	53295	0.3784
0.3735	1046.0	53346	0.3752
0.3773	1047.0	53397	0.3801
0.3714	1048.0	53448	0.3800
0.3747	1049.0	53499	0.3787
0.3735	1050.0	53550	0.3775
0.3727	1051.0	53601	0.3771
0.3736	1052.0	53652	0.3833
0.3676	1053.0	53703	0.3796
0.3688	1054.0	53754	0.3758
0.369	1055.0	53805	0.3775
0.3696	1056.0	53856	0.3811
0.3707	1057.0	53907	0.3776
0.3765	1058.0	53958	0.3804
0.3697	1059.0	54009	0.3813
0.3718	1060.0	54060	0.3722
0.3699	1061.0	54111	0.3771
0.3725	1062.0	54162	0.3780
0.3705	1063.0	54213	0.3767
0.3698	1064.0	54264	0.3783
0.374	1065.0	54315	0.3775
0.3665	1066.0	54366	0.3813
0.3695	1067.0	54417	0.3801
0.3705	1068.0	54468	0.3805
0.3709	1069.0	54519	0.3780
0.3762	1070.0	54570	0.3758
0.3718	1071.0	54621	0.3801
0.3736	1072.0	54672	0.3769
0.3702	1073.0	54723	0.3763
0.3716	1074.0	54774	0.3791
0.3684	1075.0	54825	0.3745
0.3682	1076.0	54876	0.3796
0.3699	1077.0	54927	0.3784
0.3745	1078.0	54978	0.3794
0.3721	1079.0	55029	0.3780
0.3758	1080.0	55080	0.3792
0.3742	1081.0	55131	0.3781
0.3693	1082.0	55182	0.3819
0.3676	1083.0	55233	0.3746
0.3684	1084.0	55284	0.3812
0.3727	1085.0	55335	0.3745
0.3689	1086.0	55386	0.3743
0.3704	1087.0	55437	0.3785
0.3664	1088.0	55488	0.3774
0.3704	1089.0	55539	0.3757
0.3702	1090.0	55590	0.3790
0.3747	1091.0	55641	0.3798
0.3704	1092.0	55692	0.3756
0.3749	1093.0	55743	0.3783
0.3686	1094.0	55794	0.3759
0.369	1095.0	55845	0.3762
0.3671	1096.0	55896	0.3783
0.3686	1097.0	55947	0.3780
0.3693	1098.0	55998	0.3778
0.3728	1099.0	56049	0.3759
0.3715	1100.0	56100	0.3777
0.3712	1101.0	56151	0.3775
0.3695	1102.0	56202	0.3767
0.3715	1103.0	56253	0.3762
0.3728	1104.0	56304	0.3775
0.368	1105.0	56355	0.3783
0.3705	1106.0	56406	0.3797
0.3705	1107.0	56457	0.3771
0.3734	1108.0	56508	0.3754
0.3701	1109.0	56559	0.3793
0.3707	1110.0	56610	0.3729
0.3677	1111.0	56661	0.3763
0.3734	1112.0	56712	0.3813
0.3714	1113.0	56763	0.3772
0.3654	1114.0	56814	0.3765
0.3692	1115.0	56865	0.3757
0.3721	1116.0	56916	0.3749
0.3741	1117.0	56967	0.3769
0.3649	1118.0	57018	0.3806
0.3709	1119.0	57069	0.3720
0.3721	1120.0	57120	0.3794
0.3701	1121.0	57171	0.3748
0.3674	1122.0	57222	0.3787
0.3669	1123.0	57273	0.3736
0.3726	1124.0	57324	0.3789
0.3672	1125.0	57375	0.3774
0.3674	1126.0	57426	0.3778
0.3702	1127.0	57477	0.3772
0.3717	1128.0	57528	0.3766
0.3703	1129.0	57579	0.3757
0.3695	1130.0	57630	0.3808
0.3729	1131.0	57681	0.3721
0.3657	1132.0	57732	0.3784
0.3676	1133.0	57783	0.3793
0.3684	1134.0	57834	0.3797
0.3703	1135.0	57885	0.3771
0.3705	1136.0	57936	0.3752
0.3691	1137.0	57987	0.3773
0.3673	1138.0	58038	0.3766
0.3715	1139.0	58089	0.3779
0.37	1140.0	58140	0.3750
0.3709	1141.0	58191	0.3786
0.3696	1142.0	58242	0.3776
0.3752	1143.0	58293	0.3758
0.3675	1144.0	58344	0.3762
0.3681	1145.0	58395	0.3741
0.3684	1146.0	58446	0.3794
0.3663	1147.0	58497	0.3720
0.3712	1148.0	58548	0.3742
0.3672	1149.0	58599	0.3786
0.369	1150.0	58650	0.3737
0.3648	1151.0	58701	0.3767
0.3704	1152.0	58752	0.3740
0.3695	1153.0	58803	0.3781
0.3707	1154.0	58854	0.3753
0.3661	1155.0	58905	0.3774
0.367	1156.0	58956	0.3763
0.3657	1157.0	59007	0.3767
0.3638	1158.0	59058	0.3738
0.3728	1159.0	59109	0.3732
0.3748	1160.0	59160	0.3787
0.3753	1161.0	59211	0.3743
0.3663	1162.0	59262	0.3758
0.3694	1163.0	59313	0.3772
0.3657	1164.0	59364	0.3763
0.3643	1165.0	59415	0.3770
0.3679	1166.0	59466	0.3772
0.37	1167.0	59517	0.3724
0.3693	1168.0	59568	0.3752
0.3705	1169.0	59619	0.3732
0.3671	1170.0	59670	0.3767
0.3729	1171.0	59721	0.3723
0.3701	1172.0	59772	0.3768
0.3717	1173.0	59823	0.3782
0.3716	1174.0	59874	0.3721
0.3723	1175.0	59925	0.3712
0.3674	1176.0	59976	0.3746
0.365	1177.0	60027	0.3768
0.3725	1178.0	60078	0.3760
0.3679	1179.0	60129	0.3742
0.3707	1180.0	60180	0.3753
0.3698	1181.0	60231	0.3730
0.3697	1182.0	60282	0.3748
0.368	1183.0	60333	0.3722
0.3689	1184.0	60384	0.3724
0.3667	1185.0	60435	0.3731
0.3708	1186.0	60486	0.3785
0.3684	1187.0	60537	0.3755
0.3701	1188.0	60588	0.3774
0.3685	1189.0	60639	0.3733
0.37	1190.0	60690	0.3773
0.372	1191.0	60741	0.3761
0.3677	1192.0	60792	0.3733
0.367	1193.0	60843	0.3770
0.3641	1194.0	60894	0.3731
0.3679	1195.0	60945	0.3739
0.3709	1196.0	60996	0.3731
0.3668	1197.0	61047	0.3784
0.3678	1198.0	61098	0.3754
0.3642	1199.0	61149	0.3795
0.3717	1200.0	61200	0.3766

Framework versions

• Transformers 4.27.0.dev0
• Pytorch 1.13.0
• Datasets 2.8.0
• Tokenizers 0.13.2