learning_rate: 0.0001
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 6
total_train_batch_size: 48
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 20

Training Loss	Epoch	Step	Validation Loss
10.4291	1.0	334	1.5553
4.8127	2.0	668	0.8458
2.9138	3.0	1002	0.4572
1.8249	4.0	1336	0.4366
1.1195	5.0	1670	0.2577
1.0455	6.0	2004	0.1916
0.9011	7.0	2338	0.2527
0.5274	8.0	2672	0.2161
0.4131	9.0	3006	0.1683
0.2793	10.0	3340	0.1742
0.2865	11.0	3674	0.1788
0.2515	12.0	4008	0.1852
0.1991	13.0	4342	0.1589
0.1869	14.0	4676	0.1569
0.1761	15.0	5010	0.2064
0.1546	16.0	5344	0.1736
0.1553	17.0	5678	0.1631
0.171	18.0	6012	0.1642
0.1502	19.0	6346	0.1668

bustamiyusoef/Nougat_CH_20k

Nougat_CH_20k