learning_rate: 1e-05
train_batch_size: 128
eval_batch_size: 128
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: 30
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Accuracy	1-f1	1-recall	1-precision	Balanced Acc
0.5549	1.0	5	0.4841	0.8615	0.7353	0.5814	1.0	0.7907
0.5873	2.0	10	0.4579	0.8692	0.8132	0.8605	0.7708	0.8670
0.4552	3.0	15	0.4112	0.9	0.8434	0.8140	0.875	0.8782
0.3566	4.0	20	0.3635	0.8923	0.8205	0.7442	0.9143	0.8549
0.3533	5.0	25	0.3118	0.9231	0.8810	0.8605	0.9024	0.9072
0.3372	6.0	30	0.3078	0.9077	0.8696	0.9302	0.8163	0.9134
0.1963	7.0	35	0.2485	0.9154	0.8706	0.8605	0.8810	0.9015
0.1598	8.0	40	0.2199	0.9154	0.8736	0.8837	0.8636	0.9074
0.1177	9.0	45	0.2188	0.9154	0.8764	0.9070	0.8478	0.9133
0.0412	10.0	50	0.2444	0.9154	0.8764	0.9070	0.8478	0.9133
0.1093	11.0	55	0.2598	0.9308	0.8966	0.9070	0.8864	0.9248

AnonymousCS/xlmr_english_immigration

xlmr_english_immigration