Training Loss	Epoch	Step	Validation Loss	Accuracy
4.3227	0.04	10000	4.2268	0.3161
4.0305	0.07	20000	3.9455	0.3393
3.8916	0.11	30000	3.8194	0.3502
3.8104	0.15	40000	3.7340	0.3580
3.7491	0.19	50000	3.6770	0.3633
3.7062	0.22	60000	3.6288	0.3679
3.6724	0.26	70000	3.5938	0.3714
3.6399	0.3	80000	3.5652	0.3743
3.6147	0.34	90000	3.5396	0.3768
3.5946	0.37	100000	3.5158	0.3791
3.5726	0.41	110000	3.4986	0.3809
3.5631	0.45	120000	3.4819	0.3826
3.5459	0.49	130000	3.4678	0.3842
3.5304	0.52	140000	3.4535	0.3857
3.5245	0.56	150000	3.4430	0.3867
3.5124	0.6	160000	3.4329	0.3877
3.501	0.63	170000	3.4223	0.3890
3.4934	0.67	180000	3.4130	0.3901
3.4863	0.71	190000	3.4042	0.3909
3.4799	0.75	200000	3.3991	0.3914
3.4682	0.78	210000	3.3909	0.3924
3.4667	0.82	220000	3.3852	0.3930
3.4564	0.86	230000	3.3790	0.3936
3.4581	0.9	240000	3.3753	0.3941
3.4553	0.93	250000	3.3710	0.3945
3.4508	0.97	260000	3.3680	0.3949

jonasknobloch/gpt2-morf_u0-30-50-x_cx-en_00000-00009_50k

gpt2+morf_u0-30-50-x_cx-en_00000-00009_50k