learning_rate: 3e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 32
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: cosine_with_restarts
lr_scheduler_warmup_ratio: 0.1
lr_scheduler_warmup_steps: 1000
num_epochs: 20
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Accuracy	None Accuracy	Roadwork Accuracy
0.1454	1.0	3966	0.1717	0.9451	0.9107	0.9540
0.0527	2.0	7932	0.1607	0.9627	0.8960	0.9798
0.0643	3.0	11898	0.1583	0.9638	0.9283	0.9728
0.0379	4.0	15864	0.2043	0.9683	0.9084	0.9836
0.0145	5.0	19830	0.1901	0.9671	0.9359	0.9751
0.0248	6.0	23796	0.2259	0.9696	0.9240	0.9813
0.0158	7.0	27762	0.2219	0.9717	0.9292	0.9825
0.018	8.0	31728	0.2804	0.9720	0.9113	0.9876
0.019	9.0	35694	0.2698	0.9727	0.9207	0.9861
0.0056	10.0	39660	0.2698	0.9727	0.9218	0.9857
0.0228	11.0	43626	0.3909	0.9613	0.8351	0.9937
0.0394	12.0	47592	0.1928	0.9680	0.9252	0.9789
0.0302	13.0	51558	0.1897	0.9707	0.9193	0.9838
0.0143	14.0	55524	0.2491	0.9716	0.8999	0.9899
0.0157	15.0	59490	0.2214	0.9728	0.9331	0.9830
0.0214	16.0	63456	0.2423	0.9745	0.9238	0.9874
0.0251	17.0	67422	0.2447	0.9746	0.9217	0.9882
0.0183	18.0	71388	0.2443	0.9753	0.9264	0.9878
0.0181	19.0	75354	0.2839	0.9748	0.9169	0.9897
0.0211	20.0	79320	0.2739	0.9747	0.9201	0.9887

EchoFox0829/natix-001

natix-001