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---
license: apache-2.0
base_model: hustvl/yolos-tiny
tags:
- generated_from_trainer
model-index:
- name: Yolo_test
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. -->
# Yolo_test
This model is a fine-tuned version of [hustvl/yolos-tiny](https://huggingface.co/hustvl/yolos-tiny) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.3290
- Map: 0.1338
- Map 50: 0.2829
- Map 75: 0.1119
- Map Small: 0.0653
- Map Medium: 0.1961
- Map Large: -1.0
- Mar 1: 0.1889
- Mar 10: 0.3333
- Mar 100: 0.3815
- Mar Small: 0.38
- Mar Medium: 0.3824
- Mar Large: -1.0
- Map Background : -1.0
- Mar 100 Background : -1.0
- Map Score: 0.1338
- Mar 100 Score: 0.3815
## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 30
### 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 Background | Mar 100 Background | Map Score | Mar 100 Score |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:----------:|:---------:|:------:|:------:|:-------:|:---------:|:----------:|:---------:|:----------------:|:--------------------:|:---------:|:-------------:|
| No log | 1.0 | 93 | 1.3889 | 0.0097 | 0.0437 | 0.0002 | 0.0124 | 0.0108 | -1.0 | 0.0259 | 0.1444 | 0.1852 | 0.19 | 0.1824 | -1.0 | -1.0 | -1.0 | 0.0097 | 0.1852 |
| No log | 2.0 | 186 | 1.3371 | 0.0379 | 0.1162 | 0.0014 | 0.0348 | 0.0454 | -1.0 | 0.0407 | 0.2037 | 0.2185 | 0.2 | 0.2294 | -1.0 | -1.0 | -1.0 | 0.0379 | 0.2185 |
| No log | 3.0 | 279 | 1.6085 | 0.0058 | 0.0317 | 0.0014 | 0.0017 | 0.0102 | -1.0 | 0.0222 | 0.1037 | 0.1037 | 0.02 | 0.1529 | -1.0 | -1.0 | -1.0 | 0.0058 | 0.1037 |
| No log | 4.0 | 372 | 1.2737 | 0.0119 | 0.0385 | 0.0021 | 0.0285 | 0.0056 | -1.0 | 0.0185 | 0.2074 | 0.2519 | 0.37 | 0.1824 | -1.0 | -1.0 | -1.0 | 0.0119 | 0.2519 |
| No log | 5.0 | 465 | 1.0391 | 0.0218 | 0.0505 | 0.0203 | 0.0556 | 0.0103 | -1.0 | 0.0296 | 0.3148 | 0.437 | 0.73 | 0.2647 | -1.0 | -1.0 | -1.0 | 0.0218 | 0.437 |
| 1.0243 | 6.0 | 558 | 1.2415 | 0.0105 | 0.0342 | 0.0022 | 0.0126 | 0.0123 | -1.0 | 0.0185 | 0.1444 | 0.2926 | 0.27 | 0.3059 | -1.0 | -1.0 | -1.0 | 0.0105 | 0.2926 |
| 1.0243 | 7.0 | 651 | 1.0791 | 0.0244 | 0.0722 | 0.0063 | 0.0412 | 0.0226 | -1.0 | 0.0481 | 0.3111 | 0.3741 | 0.48 | 0.3118 | -1.0 | -1.0 | -1.0 | 0.0244 | 0.3741 |
| 1.0243 | 8.0 | 744 | 1.1443 | 0.0388 | 0.1407 | 0.0012 | 0.0482 | 0.0422 | -1.0 | 0.0667 | 0.2815 | 0.3259 | 0.34 | 0.3176 | -1.0 | -1.0 | -1.0 | 0.0388 | 0.3259 |
| 1.0243 | 9.0 | 837 | 1.1221 | 0.0366 | 0.1054 | 0.0035 | 0.0414 | 0.0372 | -1.0 | 0.0407 | 0.2963 | 0.3815 | 0.44 | 0.3471 | -1.0 | -1.0 | -1.0 | 0.0366 | 0.3815 |
| 1.0243 | 10.0 | 930 | 1.1264 | 0.0445 | 0.1488 | 0.009 | 0.0899 | 0.0362 | -1.0 | 0.0963 | 0.3259 | 0.4074 | 0.48 | 0.3647 | -1.0 | -1.0 | -1.0 | 0.0445 | 0.4074 |
| 0.6487 | 11.0 | 1023 | 1.1333 | 0.0471 | 0.1532 | 0.0118 | 0.0442 | 0.0676 | -1.0 | 0.0593 | 0.2778 | 0.2889 | 0.24 | 0.3176 | -1.0 | -1.0 | -1.0 | 0.0471 | 0.2889 |
| 0.6487 | 12.0 | 1116 | 1.2594 | 0.0448 | 0.1664 | 0.0006 | 0.0413 | 0.0583 | -1.0 | 0.0667 | 0.2444 | 0.263 | 0.26 | 0.2647 | -1.0 | -1.0 | -1.0 | 0.0448 | 0.263 |
| 0.6487 | 13.0 | 1209 | 1.1627 | 0.033 | 0.1218 | 0.003 | 0.0487 | 0.0377 | -1.0 | 0.0333 | 0.3 | 0.3148 | 0.38 | 0.2765 | -1.0 | -1.0 | -1.0 | 0.033 | 0.3148 |
| 0.6487 | 14.0 | 1302 | 1.2219 | 0.0669 | 0.2662 | 0.014 | 0.0835 | 0.0711 | -1.0 | 0.1148 | 0.2889 | 0.3148 | 0.3 | 0.3235 | -1.0 | -1.0 | -1.0 | 0.0669 | 0.3148 |
| 0.6487 | 15.0 | 1395 | 1.1355 | 0.0994 | 0.2971 | 0.0248 | 0.1038 | 0.1244 | -1.0 | 0.1519 | 0.337 | 0.3741 | 0.35 | 0.3882 | -1.0 | -1.0 | -1.0 | 0.0994 | 0.3741 |
| 0.6487 | 16.0 | 1488 | 1.1675 | 0.1154 | 0.3476 | 0.026 | 0.1273 | 0.1285 | -1.0 | 0.1667 | 0.3 | 0.3444 | 0.34 | 0.3471 | -1.0 | -1.0 | -1.0 | 0.1154 | 0.3444 |
| 0.4946 | 17.0 | 1581 | 1.2258 | 0.0976 | 0.2925 | 0.0282 | 0.0668 | 0.1497 | -1.0 | 0.1444 | 0.3148 | 0.3704 | 0.33 | 0.3941 | -1.0 | -1.0 | -1.0 | 0.0976 | 0.3704 |
| 0.4946 | 18.0 | 1674 | 1.2367 | 0.1138 | 0.3025 | 0.045 | 0.0959 | 0.1453 | -1.0 | 0.1778 | 0.3481 | 0.4 | 0.43 | 0.3824 | -1.0 | -1.0 | -1.0 | 0.1138 | 0.4 |
| 0.4946 | 19.0 | 1767 | 1.2897 | 0.1208 | 0.3045 | 0.0764 | 0.0784 | 0.1481 | -1.0 | 0.1778 | 0.3296 | 0.3704 | 0.39 | 0.3588 | -1.0 | -1.0 | -1.0 | 0.1208 | 0.3704 |
| 0.4946 | 20.0 | 1860 | 1.2484 | 0.1321 | 0.3143 | 0.0969 | 0.092 | 0.1805 | -1.0 | 0.1926 | 0.3444 | 0.3889 | 0.38 | 0.3941 | -1.0 | -1.0 | -1.0 | 0.1321 | 0.3889 |
| 0.4946 | 21.0 | 1953 | 1.2827 | 0.1272 | 0.3247 | 0.1094 | 0.0998 | 0.1661 | -1.0 | 0.1926 | 0.3259 | 0.363 | 0.34 | 0.3765 | -1.0 | -1.0 | -1.0 | 0.1272 | 0.363 |
| 0.3004 | 22.0 | 2046 | 1.3022 | 0.1311 | 0.2813 | 0.1268 | 0.0728 | 0.1852 | -1.0 | 0.1852 | 0.3296 | 0.3778 | 0.37 | 0.3824 | -1.0 | -1.0 | -1.0 | 0.1311 | 0.3778 |
| 0.3004 | 23.0 | 2139 | 1.3196 | 0.1319 | 0.2916 | 0.127 | 0.0644 | 0.1938 | -1.0 | 0.1852 | 0.3222 | 0.3667 | 0.34 | 0.3824 | -1.0 | -1.0 | -1.0 | 0.1319 | 0.3667 |
| 0.3004 | 24.0 | 2232 | 1.3351 | 0.137 | 0.2932 | 0.1095 | 0.0663 | 0.1992 | -1.0 | 0.1852 | 0.3407 | 0.3889 | 0.37 | 0.4 | -1.0 | -1.0 | -1.0 | 0.137 | 0.3889 |
| 0.3004 | 25.0 | 2325 | 1.2901 | 0.1343 | 0.279 | 0.1256 | 0.0743 | 0.1898 | -1.0 | 0.1963 | 0.3444 | 0.3852 | 0.4 | 0.3765 | -1.0 | -1.0 | -1.0 | 0.1343 | 0.3852 |
| 0.3004 | 26.0 | 2418 | 1.3259 | 0.1361 | 0.2762 | 0.1092 | 0.0648 | 0.2014 | -1.0 | 0.1889 | 0.337 | 0.3889 | 0.39 | 0.3882 | -1.0 | -1.0 | -1.0 | 0.1361 | 0.3889 |
| 0.1909 | 27.0 | 2511 | 1.3338 | 0.1297 | 0.2823 | 0.1118 | 0.0651 | 0.1881 | -1.0 | 0.1852 | 0.3296 | 0.3778 | 0.38 | 0.3765 | -1.0 | -1.0 | -1.0 | 0.1297 | 0.3778 |
| 0.1909 | 28.0 | 2604 | 1.3253 | 0.1346 | 0.2831 | 0.1119 | 0.0676 | 0.1961 | -1.0 | 0.1889 | 0.337 | 0.3852 | 0.39 | 0.3824 | -1.0 | -1.0 | -1.0 | 0.1346 | 0.3852 |
| 0.1909 | 29.0 | 2697 | 1.3243 | 0.1338 | 0.2829 | 0.1119 | 0.0653 | 0.1961 | -1.0 | 0.1889 | 0.3333 | 0.3815 | 0.38 | 0.3824 | -1.0 | -1.0 | -1.0 | 0.1338 | 0.3815 |
| 0.1909 | 30.0 | 2790 | 1.3290 | 0.1338 | 0.2829 | 0.1119 | 0.0653 | 0.1961 | -1.0 | 0.1889 | 0.3333 | 0.3815 | 0.38 | 0.3824 | -1.0 | -1.0 | -1.0 | 0.1338 | 0.3815 |
### Framework versions
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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