learning_rate: 4e-06
train_batch_size: 24
eval_batch_size: 24
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: cosine
lr_scheduler_warmup_ratio: 0.06
num_epochs: 4
label_smoothing_factor: 0.05

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1 Macro
5.0084	0.3145	200	4.5732	0.0961	0.0746
3.1036	0.6289	400	1.9721	0.6426	0.6316
1.2603	0.9434	600	1.0996	0.8535	0.8589
0.794	1.2579	800	0.9419	0.8881	0.8939
0.7224	1.5723	1000	0.8649	0.9103	0.9146
0.6899	1.8868	1200	0.8257	0.9229	0.9277
0.6041	2.2013	1400	0.8044	0.9303	0.9353
0.5701	2.5157	1600	0.7925	0.9355	0.9400
0.5611	2.8302	1800	0.7831	0.9361	0.9407
0.5427	3.1447	2000	0.7813	0.9377	0.9425
0.5288	3.4591	2200	0.7731	0.9406	0.9451
0.5259	3.7736	2400	0.7736	0.9410	0.9457

Huyle2501/ModernBERT-CLINC_au

ModernBERT-CLINC_au