learning_rate: 5e-05
train_batch_size: 8
eval_batch_size: 4
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
lr_scheduler_warmup_steps: 500
num_epochs: 20

Training Loss	Epoch	Step	Validation Loss
1.6415	1.0	868	1.7265
1.6881	2.0	1736	1.3475
1.5645	3.0	2604	1.0214
1.0915	4.0	3472	0.7177
0.6687	5.0	4340	0.4303
0.4507	6.0	5208	0.3196
0.5139	7.0	6076	0.1659
0.5381	8.0	6944	0.1550
0.2482	9.0	7812	0.0851
0.0942	10.0	8680	0.0824
0.1959	11.0	9548	0.0536
0.0547	12.0	10416	0.0248
0.0049	13.0	11284	0.0127
0.0451	14.0	12152	0.0096
0.0001	15.0	13020	0.0091
0.0	16.0	13888	0.0085
0.0	17.0	14756	0.0000
0.0	18.0	15624	0.0000
0.0	19.0	16492	0.0000
0.0	20.0	17360	0.0000

jtatman/deberta-myers-briggs-classifier

deberta-myers-briggs-classifier