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	Accuracy
No log	1.0	232	0.1063	0.9773
No log	2.0	464	0.0811	0.9773
0.2551	3.0	696	0.0704	0.9830
0.2551	4.0	928	0.0903	0.9830
0.0423	5.0	1160	0.0949	0.9830
0.0423	6.0	1392	0.0890	0.9886
0.0268	7.0	1624	0.0916	0.9886
0.0268	8.0	1856	0.1001	0.9886
0.0246	9.0	2088	0.0965	0.9886
0.0246	10.0	2320	0.1002	0.9886
0.0156	11.0	2552	0.0785	0.9886
0.0156	12.0	2784	0.0904	0.9886
0.0157	13.0	3016	0.0825	0.9886
0.0157	14.0	3248	0.0999	0.9886
0.0157	15.0	3480	0.1004	0.9886
0.0137	16.0	3712	0.1020	0.9886
0.0137	17.0	3944	0.1010	0.9886
0.0152	18.0	4176	0.1002	0.9886
0.0152	19.0	4408	0.0999	0.9886
0.0114	20.0	4640	0.1004	0.9886

ansilmbabl/distilbert-base-uncased-survey-category-0.0.1

distilbert-base-uncased-survey-category-0.0.1