learning_rate: 2e-05
train_batch_size: 16
eval_batch_size: 16
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: 20

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	305	1.0953	0.6169
1.2133	2.0	610	0.9744	0.6604
1.2133	3.0	915	0.9648	0.6809
0.5996	4.0	1220	1.1174	0.6710
0.2747	5.0	1525	1.3065	0.6538
0.2747	6.0	1830	1.5355	0.6637
0.0989	7.0	2135	1.7344	0.6579
0.0989	8.0	2440	1.7971	0.6735
0.0493	9.0	2745	1.9623	0.6727
0.0254	10.0	3050	2.0073	0.6776
0.0254	11.0	3355	2.0603	0.6833
0.0163	12.0	3660	2.1403	0.6784
0.0163	13.0	3965	2.1846	0.6792
0.0133	14.0	4270	2.2136	0.6776
0.0069	15.0	4575	2.2117	0.6833
0.0069	16.0	4880	2.2279	0.6776
0.0072	17.0	5185	2.2685	0.6809
0.0072	18.0	5490	2.2847	0.6809
0.0037	19.0	5795	2.2697	0.6809
0.0035	20.0	6100	2.2701	0.6850

maianume/distilbert-frugal-ai-challenge

distilbert-frugal-ai-challenge