Training Loss	Epoch	Step	Validation Loss
5.9695	0.27	500	5.0679
4.7417	0.53	1000	4.6811
4.4136	0.8	1500	4.4369
4.2076	1.06	2000	4.2985
4.0279	1.33	2500	4.2048
3.9505	1.59	3000	4.1137
3.8781	1.86	3500	4.0482
3.7338	2.12	4000	4.0046
3.6392	2.39	4500	3.9628
3.6228	2.65	5000	3.9115
3.5944	2.92	5500	3.8738
3.4222	3.18	6000	3.8797
3.3836	3.45	6500	3.8576
3.3995	3.71	7000	3.8251
3.3827	3.98	7500	3.7995
3.1568	4.24	8000	3.8348
3.1778	4.51	8500	3.8171
3.1853	4.77	9000	3.7963
3.1451	5.04	9500	3.8059
2.9278	5.31	10000	3.8298
2.9608	5.57	10500	3.8176
2.9762	5.84	11000	3.8047
2.8716	6.1	11500	3.8433
2.7239	6.37	12000	3.8523
2.7435	6.63	12500	3.8541
2.7524	6.9	13000	3.8446
2.6032	7.16	13500	3.8854
2.5322	7.43	14000	3.8967
2.5369	7.69	14500	3.8983
2.5467	7.96	15000	3.8966
2.3979	8.22	15500	3.9284
2.3767	8.49	16000	3.9334
2.3852	8.75	16500	3.9357
2.3805	9.02	17000	3.9395
2.3012	9.28	17500	3.9463
2.3044	9.55	18000	3.9484
2.3007	9.81	18500	3.9486

NasimB/gpt2_left_out_qed

gpt2_left_out_qed