Training Loss	Epoch	Step	Validation Loss
1.3326	0.1	1000	0.9231
0.8619	0.2	2000	0.8089
0.789	0.3	3000	0.7596
0.7543	0.39	4000	0.7328
0.7308	0.49	5000	0.7119
0.7143	0.59	6000	0.6979
0.7023	0.69	7000	0.6885
0.6912	0.79	8000	0.6776
0.683	0.89	9000	0.6705
0.6758	0.98	10000	0.6619
0.668	1.08	11000	0.6625
0.662	1.18	12000	0.6526
0.6574	1.28	13000	0.6470
0.6535	1.38	14000	0.6435
0.6494	1.48	15000	0.6384
0.6458	1.58	16000	0.6346
0.6416	1.67	17000	0.6318
0.6386	1.77	18000	0.6291
0.6356	1.87	19000	0.6258
0.6325	1.97	20000	0.6221
0.6277	2.07	21000	0.6194
0.6244	2.17	22000	0.6178
0.6218	2.27	23000	0.6147
0.6194	2.36	24000	0.6138
0.6176	2.46	25000	0.6104
0.6158	2.56	26000	0.6076
0.6132	2.66	27000	0.6054
0.6108	2.76	28000	0.6030
0.6087	2.86	29000	0.6002
0.6062	2.95	30000	0.5985
0.6017	3.05	31000	0.5965
0.598	3.15	32000	0.5931
0.5961	3.25	33000	0.5907
0.595	3.35	34000	0.5890
0.5925	3.45	35000	0.5873
0.5908	3.55	36000	0.5846
0.5884	3.64	37000	0.5818
0.5867	3.74	38000	0.5806
0.5851	3.84	39000	0.5780
0.5829	3.94	40000	0.5757
0.5784	4.04	41000	0.5744
0.5737	4.14	42000	0.5719
0.572	4.23	43000	0.5700
0.5709	4.33	44000	0.5684
0.5693	4.43	45000	0.5662
0.5676	4.53	46000	0.5644
0.5662	4.63	47000	0.5628
0.5646	4.73	48000	0.5611
0.5629	4.83	49000	0.5595
0.5612	4.92	50000	0.5582
0.5591	5.02	51000	0.5572
0.5531	5.12	52000	0.5562
0.5527	5.22	53000	0.5553
0.552	5.32	54000	0.5544
0.5519	5.42	55000	0.5537
0.5509	5.52	56000	0.5532
0.5509	5.61	57000	0.5528
0.5507	5.71	58000	0.5525
0.5502	5.81	59000	0.5523
0.5504	5.91	60000	0.5522

victornica/molgpt_selfies

molgpt_selfies