Training Loss	Epoch	Step	Validation Loss	Accuracy
4.6338	0.04	10000	4.5133	0.2968
4.2588	0.07	20000	4.1531	0.3284
4.0955	0.11	30000	3.9906	0.3432
3.9884	0.15	40000	3.8866	0.3530
3.914	0.18	50000	3.8144	0.3601
3.8563	0.22	60000	3.7592	0.3656
3.8136	0.25	70000	3.7137	0.3701
3.7762	0.29	80000	3.6766	0.3740
3.7481	0.33	90000	3.6468	0.3773
3.7199	0.36	100000	3.6194	0.3800
3.6886	0.4	110000	3.5967	0.3824
3.677	0.44	120000	3.5789	0.3843
3.6611	0.47	130000	3.5600	0.3863
3.6442	0.51	140000	3.5443	0.3879
3.6285	0.55	150000	3.5313	0.3894
3.6126	0.58	160000	3.5176	0.3910
3.6051	0.62	170000	3.5063	0.3921
3.5946	0.65	180000	3.4957	0.3933
3.5883	0.69	190000	3.4858	0.3944
3.5789	0.73	200000	3.4788	0.3951
3.5693	0.76	210000	3.4702	0.3963
3.5584	0.8	220000	3.4632	0.3970
3.5546	0.84	230000	3.4574	0.3977
3.5434	0.87	240000	3.4520	0.3983
3.5447	0.91	250000	3.4473	0.3988
3.5353	0.95	260000	3.4427	0.3993
3.5382	0.98	270000	3.4402	0.3997

jonasknobloch/gpt2-ts_cx-cs_00000-00019_50k

gpt2+ts_cx-cs_00000-00019_50k