Training Loss	Epoch	Step	Validation Loss
No log	0.2	200	0.0386
No log	0.4	400	0.0523
0.1425	0.6	600	1.0542
0.1425	0.8	800	1.0459
0.9177	1.0	1000	0.3677
0.9177	1.2	1200	0.0296
0.9177	1.4	1400	0.0284
0.0421	1.6	1600	0.0275
0.0421	1.8	1800	0.0274
0.029	2.0	2000	0.0264
0.029	2.2	2200	0.0258
0.029	2.4	2400	0.0256
0.0276	2.6	2600	0.0254
0.0276	2.8	2800	0.0252
0.0265	3.0	3000	0.0251
0.0265	3.2	3200	0.0247
0.0265	3.4	3400	0.0247
0.0256	3.6	3600	0.0246
0.0256	3.8	3800	0.0252
0.0262	4.0	4000	0.0249
0.0262	4.2	4200	0.0244
0.0262	4.4	4400	0.0242
0.0255	4.6	4600	0.0242
0.0255	4.8	4800	0.0248
0.0251	5.0	5000	0.0240
0.0251	5.2	5200	0.0242
0.0251	5.4	5400	0.0239
0.0254	5.6	5600	0.0239
0.0254	5.8	5800	0.0237
0.0244	6.0	6000	0.0237
0.0244	6.2	6200	0.0239
0.0244	6.4	6400	0.0237
0.0244	6.6	6600	0.0237
0.0244	6.8	6800	0.0238
0.0246	7.0	7000	0.0236
0.0246	7.2	7200	0.0235
0.0246	7.4	7400	0.0235
0.0242	7.6	7600	0.0235
0.0242	7.8	7800	0.0235
0.0244	8.0	8000	0.0236
0.0244	8.2	8200	0.0234
0.0244	8.4	8400	0.0235
0.0246	8.6	8600	0.0234
0.0246	8.8	8800	0.0234
0.0237	9.0	9000	0.0234
0.0237	9.2	9200	0.0234
0.0237	9.4	9400	0.0234
0.0241	9.6	9600	0.0234
0.0241	9.8	9800	0.0234
0.024	10.0	10000	0.0234

augustocsc/gpt2-p10k-cossine

gpt2-p10k-cossine