learning_rate: 0.07
train_batch_size: 16
eval_batch_size: 16
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_steps: 0.02
num_epochs: 30
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss
3.7801	1.0	240	3.5997
3.6030	2.0	480	3.4122
3.5533	3.0	720	3.4880
3.4716	4.0	960	3.5813
3.3849	5.0	1200	3.8072
3.3499	6.0	1440	3.1296
3.2501	7.0	1680	3.3787
3.2307	8.0	1920	3.2702
3.1690	9.0	2160	3.4604
3.1316	10.0	2400	3.0390
3.1056	11.0	2640	3.6019
3.0999	12.0	2880	3.3648
3.0658	13.0	3120	3.2586
3.0190	14.0	3360	3.3761
2.9633	15.0	3600	3.4629
2.9125	16.0	3840	2.9820
2.8926	17.0	4080	2.9411
2.8830	18.0	4320	2.8852
2.8468	19.0	4560	2.8470
2.8401	20.0	4800	3.1739
2.8407	21.0	5040	2.8360
2.8088	22.0	5280	2.8013
2.7835	23.0	5520	2.7773
2.7627	24.0	5760	2.7736
2.7417	25.0	6000	2.8376
2.7228	26.0	6240	2.7436
2.7087	27.0	6480	2.7369
2.6784	28.0	6720	2.7986
2.6436	29.0	6960	2.7207
2.6153	30.0	7200	5.4534

Starmaster7/bird_genus_image_classification_model

results_final