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EduardoPacheco/
grounding-dino-tiny-aquarium-fine-tune

Name: grounding-dino-tiny-aquarium-fine-tune
Availability: InStock

tensorboard

safetensors

grounding-dino

generated_from_trainer

EduardoPacheco/aquarium

IDEA-Research/grounding-dino-tiny

finetune

apache-2.0

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grounding-dino-tiny-aquarium-fine-tune

This model is a fine-tuned version of IDEA-Research/grounding-dino-tiny on an aquarium dataset. It achieves the following results on the evaluation set:

Loss: 18.3797
Map: 0.1008
Map 50: 0.1716
Map 75: 0.0971
Map Small: -1.0
Map Medium: 0.1054
Map Large: 0.1024
Mar 1: 0.1063
Mar 10: 0.1758
Mar 100: 0.2843
Mar Small: -1.0
Mar Medium: 0.1848
Mar Large: 0.2881
Map Fish: 0.0827
Mar 100 Fish: 0.411
Map Jellyfish: 0.1291
Mar 100 Jellyfish: 0.4026
Map Penguins: 0.0963
Mar 100 Penguins: 0.426
Map Sharks: 0.0336
Mar 100 Sharks: 0.0561
Map Puffins: 0.04
Mar 100 Puffins: 0.1
Map Stingrays: 0.2407
Mar 100 Stingrays: 0.4042
Map Starfish: 0.0829
Mar 100 Starfish: 0.1906

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 5e-05
train_batch_size: 4
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 300
num_epochs: 10

Training results

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 Fish	Mar 100 Fish	Map Jellyfish	Mar 100 Jellyfish	Map Penguins	Mar 100 Penguins	Map Sharks	Mar 100 Sharks	Map Puffins	Mar 100 Puffins	Map Stingrays	Mar 100 Stingrays	Map Starfish	Mar 100 Starfish
47786.9107	1.0	112	47816.1406	0.0006	0.0019	0.0003	-1.0	0.0012	0.0008	0.0005	0.0071	0.0116	-1.0	0.0455	0.0107	0.0028	0.0491	0.0017	0.0323	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0
36235.5402	2.0	224	26297.4707	0.0036	0.0117	0.0021	-1.0	0.0002	0.0039	0.0014	0.0092	0.0326	-1.0	0.0119	0.0341	0.0182	0.1514	0.0069	0.0768	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0
13131.6674	3.0	336	4944.3315	0.0022	0.0039	0.0016	-1.0	0.0005	0.0022	0.0017	0.005	0.0085	-1.0	0.0107	0.0087	0.0139	0.0546	0.0013	0.0052	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0
1436.2895	4.0	448	160.7001	0.0065	0.0175	0.004	-1.0	0.0074	0.0068	0.0044	0.0129	0.0322	-1.0	0.0119	0.0336	0.0202	0.1621	0.0254	0.0632	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0
48.6727	5.0	560	19.5311	0.0183	0.0474	0.0105	-1.0	0.0086	0.0197	0.0081	0.0338	0.0768	-1.0	0.0399	0.0798	0.0332	0.2379	0.0663	0.211	0.0288	0.0885	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0
19.4237	6.0	672	18.9543	0.0649	0.12	0.0633	-1.0	0.1113	0.0658	0.0817	0.1352	0.2257	-1.0	0.1698	0.2284	0.0611	0.3724	0.0829	0.3542	0.0444	0.3154	0.0	0.0	0.0113	0.0574	0.202	0.3583	0.0529	0.1219
18.6905	7.0	784	18.5298	0.0855	0.1458	0.0805	-1.0	0.0869	0.087	0.109	0.1788	0.2767	-1.0	0.165	0.2801	0.0615	0.3822	0.1007	0.3826	0.0772	0.3538	0.0107	0.0258	0.02	0.0852	0.2416	0.4792	0.0871	0.2281
18.3457	8.0	896	18.6190	0.0808	0.1485	0.0724	-1.0	0.1232	0.0818	0.1071	0.1821	0.2959	-1.0	0.201	0.2993	0.0644	0.4116	0.1096	0.4142	0.0761	0.4067	0.0208	0.0833	0.0386	0.1574	0.2184	0.4542	0.0379	0.1437
18.2089	9.0	1008	18.3819	0.0997	0.1662	0.0979	-1.0	0.0888	0.1015	0.098	0.1657	0.2626	-1.0	0.1938	0.2653	0.0726	0.3886	0.1283	0.3903	0.0993	0.3904	0.0207	0.05	0.0236	0.0593	0.2596	0.425	0.094	0.1344
17.7603	10.0	1120	18.3797	0.1008	0.1716	0.0971	-1.0	0.1054	0.1024	0.1063	0.1758	0.2843	-1.0	0.1848	0.2881	0.0827	0.411	0.1291	0.4026	0.0963	0.426	0.0336	0.0561	0.04	0.1	0.2407	0.4042	0.0829	0.1906

Framework versions

Transformers 4.45.0.dev0
Pytorch 2.1.2
Datasets 2.20.0
Tokenizers 0.19.1

EduardoPacheco/grounding-dino-tiny-aquarium-fine-tune

grounding-dino-tiny-aquarium-fine-tune

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

EduardoPacheco/
grounding-dino-tiny-aquarium-fine-tune