learning_rate: 1e-05
train_batch_size: 128
eval_batch_size: 128
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 15
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Accuracy	1-f1	1-recall	1-precision	Balanced Acc
0.6344	1.0	25	0.6176	0.6671	0.0	0.0	0.0	0.5
0.4013	2.0	50	0.3130	0.8856	0.8292	0.8340	0.8244	0.8727
0.2427	3.0	75	0.2754	0.9075	0.8442	0.7529	0.9606	0.8687
0.1977	4.0	100	0.2495	0.9062	0.8507	0.8031	0.9043	0.8803
0.2381	5.0	125	0.2475	0.9100	0.8536	0.7876	0.9315	0.8794
0.1376	6.0	150	0.2874	0.8997	0.8539	0.8803	0.8291	0.8949
0.1385	7.0	175	0.2936	0.9113	0.8535	0.7761	0.9481	0.8774

AnonymousCS/xlmr_immigration_combo15_0

xlmr_immigration_combo15_0