Training Loss	Epoch	Step	Validation Loss
No log	0.2	200	0.0558
No log	0.4	400	0.1944
0.2826	0.6	600	0.3970
0.2826	0.8	800	0.6245
0.8928	1.0	1000	2.0545
0.8928	1.2	1200	0.3789
0.8928	1.4	1400	0.4120
0.5735	1.6	1600	0.9738
0.5735	1.8	1800	1.4284
3.2584	2.0	2000	3.8628
3.2584	2.2	2200	0.6803
3.2584	2.4	2400	0.4168
1.1454	2.6	2600	0.0628
1.1454	2.8	2800	0.0353
0.0693	3.0	3000	0.0301
0.0693	3.2	3200	0.0294
0.0693	3.4	3400	0.0284
0.0299	3.6	3600	0.0279
0.0299	3.8	3800	0.0274
0.0287	4.0	4000	0.0274
0.0287	4.2	4200	0.0271
0.0287	4.4	4400	0.0260
0.0274	4.6	4600	0.0260
0.0274	4.8	4800	0.0261
0.0267	5.0	5000	0.0257
0.0267	5.2	5200	0.0255
0.0267	5.4	5400	0.0255
0.0263	5.6	5600	0.0254
0.0263	5.8	5800	0.0250
0.0259	6.0	6000	0.0250
0.0259	6.2	6200	0.0252
0.0259	6.4	6400	0.0253
0.0256	6.6	6600	0.0250
0.0256	6.8	6800	0.0247
0.0253	7.0	7000	0.0256
0.0253	7.2	7200	0.0247
0.0253	7.4	7400	0.0245
0.0251	7.6	7600	0.0245
0.0251	7.8	7800	0.0245
0.0251	8.0	8000	0.0246
0.0251	8.2	8200	0.0244
0.0251	8.4	8400	0.0246
0.0252	8.6	8600	0.0243
0.0252	8.8	8800	0.0242
0.0244	9.0	9000	0.0242
0.0244	9.2	9200	0.0242
0.0244	9.4	9400	0.0242
0.0247	9.6	9600	0.0242
0.0247	9.8	9800	0.0241
0.0245	10.0	10000	0.0241

augustocsc/gpt2-p10k

gpt2-p10k