Training Loss	Epoch	Step	Validation Loss	Accuracy
3.6569	0.03	10000	3.5764	0.3502
3.4317	0.06	20000	3.3581	0.3727
3.3161	0.09	30000	3.2447	0.3848
3.2463	0.13	40000	3.1761	0.3924
3.1897	0.16	50000	3.1277	0.3977
3.152	0.19	60000	3.0910	0.4022
3.1341	0.22	70000	3.0575	0.4060
3.1006	0.25	80000	3.0363	0.4084
3.0806	0.28	90000	3.0118	0.4115
3.0555	0.31	100000	2.9919	0.4138
3.038	0.34	110000	2.9786	0.4156
3.0291	0.38	120000	2.9651	0.4171
3.0182	0.41	130000	2.9499	0.4191
3.0145	0.44	140000	2.9381	0.4205
2.9891	0.47	150000	2.9272	0.4219
2.9836	0.5	160000	2.9191	0.4230
2.9717	0.53	170000	2.9103	0.4241
2.9651	0.56	180000	2.9039	0.4250
2.9615	0.59	190000	2.8971	0.4258
2.9556	0.63	200000	2.8882	0.4269
2.9452	0.66	210000	2.8825	0.4277
2.9412	0.69	220000	2.8766	0.4284
2.9402	0.72	230000	2.8722	0.4290
2.9299	0.75	240000	2.8675	0.4296
2.9302	0.78	250000	2.8623	0.4304
2.9165	0.81	260000	2.8585	0.4308
2.915	0.84	270000	2.8537	0.4314
2.92	0.88	280000	2.8506	0.4319
2.9186	0.91	290000	2.8484	0.4321
2.9084	0.94	300000	2.8458	0.4325
2.9142	0.97	310000	2.8438	0.4327

jonasknobloch/gpt2-morf_s0-30-x-2_cx-en_00000-00009_50k

gpt2+morf_s0-30-x-2_cx-en_00000-00009_50k