learning_rate: 2e-05
train_batch_size: 32
eval_batch_size: 32
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: 10
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Precision	Recall	Mse	Mae
1.9914	1.0	157	1.7086	0.404	0.2561	0.3800	0.404	10.332	1.95
1.5651	2.0	314	1.6295	0.419	0.3343	0.4048	0.419	7.397	1.591
1.3878	3.0	471	1.6456	0.421	0.3666	0.4605	0.421	6.147	1.473
1.1967	4.0	628	1.7054	0.42	0.3790	0.3598	0.42	5.874	1.44
1.1002	5.0	785	1.7713	0.414	0.3896	0.3701	0.414	5.647	1.419
0.9412	6.0	942	1.8481	0.425	0.4068	0.4371	0.425	5.314	1.37
0.8737	7.0	1099	1.9534	0.407	0.4007	0.4025	0.407	5.141	1.375
0.757	8.0	1256	2.0153	0.401	0.3932	0.3918	0.401	5.227	1.385
0.6973	9.0	1413	2.0556	0.404	0.3979	0.4004	0.404	5.176	1.376
0.6573	10.0	1570	2.0672	0.408	0.4008	0.4003	0.408	5.179	1.373

TeamBlueEdifai/BERT

results