learning_rate: 2e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
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
No log	1.0	140	3.2381
No log	2.0	280	3.1353
No log	3.0	420	3.0809
3.2346	4.0	560	3.0432
3.2346	5.0	700	3.0202
3.2346	6.0	840	2.9960
3.2346	7.0	980	2.9784
2.9216	8.0	1120	2.9666
2.9216	9.0	1260	2.9535
2.9216	10.0	1400	2.9435
2.7856	11.0	1540	2.9330
2.7856	12.0	1680	2.9253
2.7856	13.0	1820	2.9221
2.7856	14.0	1960	2.9184
2.6979	15.0	2100	2.9159
2.6979	16.0	2240	2.9133
2.6979	17.0	2380	2.9096
2.6479	18.0	2520	2.9102
2.6479	19.0	2660	2.9080
2.6479	20.0	2800	2.9080

Hiranmai49/CFDistilGPT

CFDistilGPT