---
license: apache-2.0
base_model: IDEA-Research/grounding-dino-tiny
tags:
- object-detection
- vision
- generated_from_trainer
model-index:
- name: grounding-dino-tiny-finetuned-cppe-5-10k-steps
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# grounding-dino-tiny-finetuned-cppe-5-10k-steps

This model is a fine-tuned version of [IDEA-Research/grounding-dino-tiny](https://huggingface.co/IDEA-Research/grounding-dino-tiny) on the cppe-5 dataset.
It achieves the following results on the evaluation set:
- Loss: 5.5317
- Map: 0.0151
- Map 50: 0.0275
- Map 75: 0.0157
- Map Small: 0.0125
- Map Medium: 0.0149
- Map Large: 0.0236
- Mar 1: 0.0202
- Mar 10: 0.0902
- Mar 100: 0.1127
- Mar Small: 0.0815
- Mar Medium: 0.0975
- Mar Large: 0.1461
- Map Coverall: 0.0755
- Mar 100 Coverall: 0.5636
- Map Face Shield: 0.0
- Mar 100 Face Shield: 0.0
- Map Gloves: 0.0
- Mar 100 Gloves: 0.0
- Map Goggles: 0.0
- Mar 100 Goggles: 0.0
- Map Mask: 0.0
- Mar 100 Mask: 0.0

## 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: 1
- eval_batch_size: 1
- seed: 1337
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10.0

### 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 Coverall | Mar 100 Coverall | Map Face Shield | Mar 100 Face Shield | Map Gloves | Mar 100 Gloves | Map Goggles | Mar 100 Goggles | Map Mask | Mar 100 Mask |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:----------:|:---------:|:------:|:------:|:-------:|:---------:|:----------:|:---------:|:------------:|:----------------:|:---------------:|:-------------------:|:----------:|:--------------:|:-----------:|:---------------:|:--------:|:------------:|
| 8355.9482     | 1.0   | 850  | 6.6137          | 0.014  | 0.0272 | 0.0134 | 0.0048    | 0.0111     | 0.0243    | 0.0149 | 0.0893 | 0.1073  | 0.0523    | 0.0889     | 0.1328    | 0.0702       | 0.5366           | 0.0             | 0.0                 | 0.0        | 0.0            | 0.0         | 0.0             | 0.0      | 0.0          |
| 6.7523        | 2.0   | 1700 | 6.2357          | 0.0162 | 0.0302 | 0.0148 | 0.0106    | 0.0189     | 0.0192    | 0.0247 | 0.0894 | 0.107   | 0.0643    | 0.0968     | 0.1258    | 0.0809       | 0.535            | 0.0             | 0.0                 | 0.0        | 0.0            | 0.0         | 0.0             | 0.0      | 0.0          |
| 6.5566        | 3.0   | 2550 | 6.0890          | 0.0158 | 0.0294 | 0.0134 | 0.01      | 0.0199     | 0.0215    | 0.0222 | 0.0876 | 0.1065  | 0.0671    | 0.0846     | 0.1324    | 0.0791       | 0.5323           | 0.0             | 0.0                 | 0.0        | 0.0            | 0.0         | 0.0             | 0.0      | 0.0          |
| 6.2217        | 4.0   | 3400 | 5.9028          | 0.0144 | 0.0271 | 0.0134 | 0.0066    | 0.0096     | 0.0225    | 0.0232 | 0.0857 | 0.107   | 0.06      | 0.0823     | 0.1397    | 0.0721       | 0.5348           | 0.0             | 0.0                 | 0.0        | 0.0            | 0.0         | 0.0             | 0.0      | 0.0          |
| 6.0963        | 5.0   | 4250 | 5.8411          | 0.0126 | 0.0215 | 0.014  | 0.0055    | 0.0138     | 0.0178    | 0.0201 | 0.0811 | 0.1052  | 0.044     | 0.0942     | 0.1377    | 0.0631       | 0.5258           | 0.0             | 0.0                 | 0.0        | 0.0            | 0.0         | 0.0             | 0.0      | 0.0          |
| 5.996         | 6.0   | 5100 | 5.7244          | 0.0162 | 0.0311 | 0.0166 | 0.0059    | 0.0145     | 0.0221    | 0.0223 | 0.0869 | 0.1088  | 0.0667    | 0.0919     | 0.1328    | 0.0812       | 0.5437           | 0.0             | 0.0                 | 0.0        | 0.0            | 0.0         | 0.0             | 0.0      | 0.0          |
| 5.8971        | 7.0   | 5950 | 5.5473          | 0.0154 | 0.027  | 0.016  | 0.01      | 0.014      | 0.0208    | 0.0244 | 0.0946 | 0.1154  | 0.084     | 0.106      | 0.1311    | 0.0769       | 0.5772           | 0.0             | 0.0                 | 0.0        | 0.0            | 0.0         | 0.0             | 0.0      | 0.0          |
| 5.7451        | 8.0   | 6800 | 5.5231          | 0.0146 | 0.0267 | 0.0148 | 0.0021    | 0.0161     | 0.0183    | 0.0256 | 0.0905 | 0.1125  | 0.0325    | 0.1062     | 0.128     | 0.0731       | 0.5624           | 0.0             | 0.0                 | 0.0        | 0.0            | 0.0         | 0.0             | 0.0      | 0.0          |
| 5.7931        | 9.0   | 7650 | 5.5190          | 0.0182 | 0.032  | 0.0195 | 0.0175    | 0.0147     | 0.0249    | 0.0299 | 0.1048 | 0.1138  | 0.08      | 0.0945     | 0.1309    | 0.091        | 0.5688           | 0.0             | 0.0                 | 0.0        | 0.0            | 0.0         | 0.0             | 0.0      | 0.0          |
| 5.7435        | 10.0  | 8500 | 5.5317          | 0.0151 | 0.0275 | 0.0157 | 0.0125    | 0.0149     | 0.0236    | 0.0202 | 0.0902 | 0.1127  | 0.0815    | 0.0975     | 0.1461    | 0.0755       | 0.5636           | 0.0             | 0.0                 | 0.0        | 0.0            | 0.0         | 0.0             | 0.0      | 0.0          |


### Framework versions

- Transformers 4.45.0.dev0
- Pytorch 2.2.2
- Datasets 2.20.0
- Tokenizers 0.19.1