learning_rate: 1e-05
train_batch_size: 4
eval_batch_size: 4
seed: 42
optimizer: Use OptimizerNames.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: 15

Training Loss	Epoch	Step	Validation Loss
0.1657	1.0	25	0.1833
0.1693	2.0	50	0.1824
0.1676	3.0	75	0.1814
0.1446	4.0	100	0.1807
0.132	5.0	125	0.1800
0.1373	6.0	150	0.1794
0.139	7.0	175	0.1789
0.1406	8.0	200	0.1785
0.1357	9.0	225	0.1779
0.1529	10.0	250	0.1776
0.1575	11.0	275	0.1773
0.1374	12.0	300	0.1771
0.1485	13.0	325	0.1770
0.176	14.0	350	0.1770
0.1539	15.0	375	0.1770

saimanish-1919/flan-t5-base

flan-t5-base