Training Loss	Epoch	Step	Validation Loss
5.9858	0.24	500	5.0593
4.752	0.48	1000	4.6760
4.4497	0.72	1500	4.4435
4.2543	0.96	2000	4.2976
4.0555	1.21	2500	4.2137
3.9693	1.45	3000	4.1335
3.906	1.69	3500	4.0568
3.8429	1.93	4000	3.9920
3.6732	2.17	4500	3.9691
3.6327	2.41	5000	3.9306
3.6116	2.65	5500	3.8914
3.5938	2.89	6000	3.8513
3.455	3.13	6500	3.8610
3.3859	3.38	7000	3.8405
3.3923	3.62	7500	3.8156
3.3951	3.86	8000	3.7887
3.2753	4.1	8500	3.8143
3.1704	4.34	9000	3.8108
3.1945	4.58	9500	3.7931
3.1957	4.82	10000	3.7730
3.1308	5.06	10500	3.7997
2.9454	5.3	11000	3.8140
2.981	5.54	11500	3.8037
2.9917	5.79	12000	3.7886
2.9661	6.03	12500	3.8061
2.7333	6.27	13000	3.8368
2.7658	6.51	13500	3.8365
2.7757	6.75	14000	3.8304
2.7771	6.99	14500	3.8187
2.5518	7.23	15000	3.8726
2.56	7.47	15500	3.8759
2.5737	7.71	16000	3.8764
2.5772	7.96	16500	3.8738
2.4267	8.2	17000	3.9046
2.4129	8.44	17500	3.9102
2.4256	8.68	18000	3.9135
2.4177	8.92	18500	3.9138
2.3675	9.16	19000	3.9222
2.3412	9.4	19500	3.9246
2.3399	9.64	20000	3.9256
2.3381	9.88	20500	3.9256

NasimB/gpt2-og-concat-modified-aochild

gpt2-og-concat-modified-aochild