learning_rate: 3e-05
train_batch_size: 32
eval_batch_size: 32
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
lr_scheduler_warmup_ratio: 0.1
num_epochs: 20
mixed_precision_training: Native AMP
label_smoothing_factor: 0.2

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1 Macro	Composite Score
1.059	1.0	1601	1.2371	0.3785	0.2823	0.2366
0.6954	2.0	3202	1.0196	0.6226	0.6144	0.6144
0.6009	3.0	4803	1.0371	0.6468	0.6450	0.6450
0.5632	4.0	6404	1.0776	0.6479	0.6484	0.6484
0.5458	5.0	8005	1.1058	0.6524	0.6498	0.6498
0.5341	6.0	9606	1.1441	0.6468	0.6441	0.6441
0.5237	7.0	11207	1.1527	0.6464	0.6465	0.6465
0.5218	8.0	12808	1.1624	0.6403	0.6342	0.6338

lazymonster/iter2-diacritized

iter2-diacritized