Training Loss	Epoch	Step	Validation Loss
5.9591	0.25	500	5.0479
4.7279	0.49	1000	4.6585
4.4359	0.74	1500	4.4292
4.2425	0.99	2000	4.2868
4.033	1.24	2500	4.1992
3.9641	1.48	3000	4.1132
3.8924	1.73	3500	4.0414
3.8217	1.98	4000	3.9709
3.637	2.22	4500	3.9537
3.6122	2.47	5000	3.9079
3.607	2.72	5500	3.8681
3.5795	2.96	6000	3.8275
3.3865	3.21	6500	3.8409
3.3863	3.46	7000	3.8184
3.3855	3.71	7500	3.7940
3.3706	3.95	8000	3.7687
3.1824	4.2	8500	3.8055
3.169	4.45	9000	3.7896
3.182	4.69	9500	3.7696
3.1913	4.94	10000	3.7502
2.9852	5.19	10500	3.7978
2.9624	5.43	11000	3.7932
2.9763	5.68	11500	3.7807
2.9833	5.93	12000	3.7653
2.7879	6.18	12500	3.8182
2.742	6.42	13000	3.8233
2.7644	6.67	13500	3.8171
2.7652	6.92	14000	3.8087
2.6062	7.16	14500	3.8516
2.5539	7.41	15000	3.8602
2.5546	7.66	15500	3.8614
2.5663	7.91	16000	3.8598
2.4621	8.15	16500	3.8868
2.3987	8.4	17000	3.8939
2.4081	8.65	17500	3.8966
2.4097	8.89	18000	3.8973
2.3573	9.14	18500	3.9061
2.3304	9.39	19000	3.9089
2.3266	9.63	19500	3.9098
2.3276	9.88	20000	3.9100

NasimB/gpt2_left_out_children_stories

gpt2_left_out_children_stories