Training Loss	Epoch	Step	Validation Loss
5.983	0.24	500	5.0786
4.7603	0.48	1000	4.6865
4.4521	0.73	1500	4.4635
4.2512	0.97	2000	4.3124
4.0458	1.21	2500	4.2272
3.9687	1.45	3000	4.1443
3.9024	1.69	3500	4.0705
3.8439	1.93	4000	4.0057
3.6791	2.18	4500	3.9845
3.6259	2.42	5000	3.9471
3.6137	2.66	5500	3.9057
3.592	2.9	6000	3.8654
3.4438	3.14	6500	3.8758
3.3844	3.38	7000	3.8570
3.3977	3.63	7500	3.8324
3.4015	3.87	8000	3.8053
3.2638	4.11	8500	3.8300
3.1771	4.35	9000	3.8250
3.1914	4.59	9500	3.8070
3.1993	4.84	10000	3.7853
3.1089	5.08	10500	3.8146
2.9539	5.32	11000	3.8262
2.9853	5.56	11500	3.8173
2.9984	5.8	12000	3.8020
2.9462	6.04	12500	3.8259
2.7343	6.29	13000	3.8527
2.7724	6.53	13500	3.8499
2.7817	6.77	14000	3.8423
2.7789	7.01	14500	3.8510
2.5477	7.25	15000	3.8873
2.5643	7.5	15500	3.8904
2.5842	7.74	16000	3.8896
2.5913	7.98	16500	3.8858
2.4293	8.22	17000	3.9177
2.4253	8.46	17500	3.9231
2.4274	8.7	18000	3.9240
2.4331	8.95	18500	3.9254
2.362	9.19	19000	3.9346
2.3519	9.43	19500	3.9373
2.3498	9.67	20000	3.9378
2.3461	9.91	20500	3.9378

NasimB/gpt2_left_out_switchboard

gpt2_left_out_switchboard