rfdetr-docvqa-media3-v2

This model is a fine-tuned version of Roboflow/rf-detr-base on an unknown dataset. It achieves the following results on the evaluation set:

Model description

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The following hyperparameters were used during training:

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
lr_scheduler_warmup_steps: 0.05
num_epochs: 10

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 Chart	Mar 100 Chart	Map Image	Mar 100 Image	Map Signature	Mar 100 Signature
40.0459	1.0	33	25.5239	0.0	0.0	0.0	-1.0	0.0	0.0	0.0	0.0	0.0067	-1.0	0.0	0.007	0.0	0.0	0.0	0.0	0.0	0.02
15.4391	2.0	66	25.5408	0.0	0.0003	0.0	-1.0	0.0	0.0	0.0	0.003	0.003	-1.0	0.0	0.0031	0.0	0.0053	0.0001	0.0038	0.0	0.0
13.9985	3.0	99	22.7635	0.0002	0.0004	0.0002	-1.0	0.0	0.0002	0.007	0.0105	0.0155	-1.0	0.0	0.0158	0.0006	0.0316	0.0	0.0	0.0	0.015
13.1759	4.0	132	21.8405	0.0013	0.0063	0.0	-1.0	0.0	0.0013	0.0035	0.0233	0.0392	-1.0	0.0	0.0412	0.0025	0.0421	0.0012	0.0654	0.0001	0.01
12.6280	5.0	165	21.5377	0.0015	0.0042	0.0011	-1.0	0.0059	0.0015	0.0211	0.0228	0.1041	-1.0	0.125	0.1001	0.0037	0.2	0.0008	0.0923	0.0	0.02
12.3205	6.0	198	19.0510	0.0012	0.0046	0.0004	-1.0	0.0042	0.0012	0.0056	0.0642	0.1349	-1.0	0.025	0.1397	0.0019	0.1579	0.0015	0.1769	0.0001	0.07
10.5714	7.0	231	16.7398	0.0023	0.01	0.0006	-1.0	0.0134	0.0023	0.0158	0.0647	0.1626	-1.0	0.15	0.1635	0.0049	0.1474	0.0021	0.3154	0.0001	0.025
10.2309	8.0	264	16.9129	0.0135	0.0575	0.0006	-1.0	0.0072	0.0145	0.0126	0.0607	0.1619	-1.0	0.075	0.1676	0.0125	0.1053	0.028	0.3154	0.0001	0.065
9.5882	9.0	297	16.5097	0.0138	0.0327	0.0006	-1.0	0.0007	0.0142	0.0257	0.0652	0.1964	-1.0	0.05	0.2046	0.034	0.1737	0.0073	0.3654	0.0001	0.05
9.5828	10.0	330	16.2431	0.0037	0.0137	0.0004	-1.0	0.0018	0.0039	0.0203	0.0793	0.1731	-1.0	0.025	0.1816	0.0046	0.1474	0.0062	0.3269	0.0001	0.045