learning_rate: 5e-05
train_batch_size: 8
eval_batch_size: 8
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
num_epochs: 3

Training Loss	Epoch	Step	Validation Loss	Map	Map 50	Map 75	Map Small	Map Medium	Map Large	Mar 1	Mar 10	Mar 100	Mar Small	Mar Medium	Mar Large	Map Group	Mar 100 Group	Map Image	Mar 100 Image	Map Rectangle	Mar 100 Rectangle	Map Text	Mar 100 Text
13.1884	1.0	834	11.8293	0.12	0.2083	0.1168	0.0658	0.1201	0.1711	0.0424	0.2184	0.4053	0.2725	0.4063	0.5371	0.0976	0.4292	0.115	0.4454	0.1046	0.3205	0.1627	0.4263
10.6173	2.0	1668	11.4860	0.1974	0.3124	0.1987	0.1219	0.2041	0.2696	0.052	0.2881	0.5082	0.3476	0.5195	0.6644	0.1251	0.5347	0.2301	0.5594	0.2077	0.4596	0.2268	0.4792
9.9421	3.0	2502	11.2941	0.2168	0.3333	0.2202	0.1391	0.221	0.2988	0.0541	0.3024	0.5255	0.3717	0.5325	0.6828	0.1443	0.5592	0.2562	0.574	0.2237	0.4755	0.2428	0.4934

victorbarra/rf_detr_finetuned_mobile_ui

rf_detr_finetuned_mobile_ui