--- license: apache-2.0 base_model: IDEA-Research/grounding-dino-tiny tags: - generated_from_trainer model-index: - name: grounding-dino-tiny-aquarium-fine-tune results: [] datasets: - EduardoPacheco/aquarium --- # grounding-dino-tiny-aquarium-fine-tune This model is a fine-tuned version of [IDEA-Research/grounding-dino-tiny](https://huggingface.co/IDEA-Research/grounding-dino-tiny) on an [aquarium dataset](https://huggingface.co/datasets/EduardoPacheco/aquarium). 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