Training Loss	Epoch	Step	Validation Loss
6.2253	0.03	700	2.8997
3.5361	0.06	1400	2.5143
2.8585	0.09	2100	2.3899
2.7763	0.12	2800	2.3435
2.6044	0.15	3500	2.3001
2.6166	0.18	4200	2.2498
2.5002	0.21	4900	2.1958
2.4498	0.24	5600	2.1454
2.4349	0.27	6300	2.1049
2.3176	0.3	7000	2.0382
2.2667	0.33	7700	1.9124
2.2382	0.36	8400	1.7847
2.1296	0.39	9100	1.6963
2.0856	0.42	9800	1.6489
2.0527	0.45	10500	1.6299
2.0363	0.48	11200	1.6085
1.9999	0.51	11900	1.5947
1.9888	0.54	12600	1.5661
1.9438	0.58	13300	1.5666
1.9365	0.61	14000	1.5636
1.9311	0.64	14700	1.5502
1.9649	0.67	15400	1.5419
1.9782	0.7	16100	1.5309
1.8764	0.73	16800	1.5147
1.9236	0.76	17500	1.5066
1.8818	0.79	18200	1.4963
1.9031	0.82	18900	1.4939
1.8583	0.85	19600	1.4923
1.8436	0.88	20300	1.4948
1.8258	0.91	21000	1.4784
1.8701	0.94	21700	1.4642
1.8413	0.97	22400	1.4807
1.8417	1.0	23100	1.4654
1.7898	1.03	23800	1.4711
1.7661	1.06	24500	1.4632
1.7223	1.09	25200	1.4514
1.7461	1.12	25900	1.4568
1.7457	1.15	26600	1.4492
1.7588	1.18	27300	1.4500
1.6475	1.21	28000	1.4515
1.7428	1.24	28700	1.4377
1.782	1.27	29400	1.4456
1.6906	1.3	30100	1.4435
1.6865	1.33	30800	1.4378
1.7806	1.36	31500	1.4327
1.7444	1.39	32200	1.4372
1.7136	1.42	32900	1.4293
1.7252	1.45	33600	1.4246
1.7209	1.48	34300	1.4218
1.7523	1.51	35000	1.4283
1.6808	1.54	35700	1.4216
1.7167	1.57	36400	1.4246
1.7246	1.6	37100	1.4171
1.7614	1.63	37800	1.4204
1.6704	1.66	38500	1.4116
1.6823	1.7	39200	1.4213
1.6744	1.73	39900	1.4236
1.7086	1.76	40600	1.4197
1.7179	1.79	41300	1.4156
1.6223	1.82	42000	1.4205
1.6817	1.85	42700	1.4159
1.6786	1.88	43400	1.4131
1.7163	1.91	44100	1.4147
1.6381	1.94	44800	1.4131
1.6961	1.97	45500	1.4134
1.6247	2.0	46200	1.4135

arbitropy/banglat5-bcoqa

banglat5-bcoqa