---
library_name: transformers
license: apache-2.0
base_model: PekingU/rtdetr_r50vd_coco_o365
tags:
- generated_from_trainer
model-index:
- name: rtdetr-r50-ball-handler-finetune
  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. -->

# rtdetr-r50-ball-handler-finetune

This model is a fine-tuned version of [PekingU/rtdetr_r50vd_coco_o365](https://huggingface.co/PekingU/rtdetr_r50vd_coco_o365) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 12.9794
- Map: 0.0003
- Map 50: 0.0015
- Map 75: 0.0
- Map Small: 0.0
- Map Medium: 0.0003
- Map Large: 0.003
- Mar 1: 0.0005
- Mar 10: 0.0067
- Mar 100: 0.0168
- Mar Small: 0.0
- Mar Medium: 0.0174
- Mar Large: 0.0194
- Map Player: 0.0006
- Mar 100 Player: 0.0245
- Map Ball-handler: 0.0
- Mar 100 Ball-handler: 0.009

## 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: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- 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 Player | Mar 100 Player | Map Ball-handler | Mar 100 Ball-handler |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:----------:|:---------:|:------:|:------:|:-------:|:---------:|:----------:|:---------:|:----------:|:--------------:|:----------------:|:--------------------:|
| No log        | 1.0   | 232  | 13.8912         | 0.0003 | 0.0013 | 0.0    | -1.0      | 0.0005     | 0.0001    | 0.0004 | 0.0091 | 0.0195  | -1.0      | 0.0304     | 0.0053    | 0.0004     | 0.0167         | 0.0002           | 0.0223               |
| No log        | 2.0   | 464  | 11.6078         | 0.0002 | 0.001  | 0.0    | -1.0      | 0.0004     | 0.0       | 0.0011 | 0.0105 | 0.0186  | -1.0      | 0.029      | 0.0057    | 0.0003     | 0.0146         | 0.0001           | 0.0226               |
| 30.7716       | 3.0   | 696  | 11.0199         | 0.0003 | 0.0015 | 0.0    | -1.0      | 0.0007     | 0.0       | 0.0029 | 0.0103 | 0.0204  | -1.0      | 0.0332     | 0.0048    | 0.0003     | 0.0169         | 0.0003           | 0.0239               |
| 30.7716       | 4.0   | 928  | 10.8415         | 0.0002 | 0.0012 | 0.0    | -1.0      | 0.0005     | 0.0       | 0.0012 | 0.0122 | 0.0188  | -1.0      | 0.0304     | 0.005     | 0.0003     | 0.0146         | 0.0002           | 0.023                |
| 12.4494       | 5.0   | 1160 | 10.9467         | 0.0002 | 0.001  | 0.0    | -1.0      | 0.0004     | 0.0       | 0.0011 | 0.0106 | 0.0168  | -1.0      | 0.0282     | 0.0025    | 0.0003     | 0.0158         | 0.0001           | 0.0179               |
| 12.4494       | 6.0   | 1392 | 11.2840         | 0.0003 | 0.0013 | 0.0    | -1.0      | 0.0006     | 0.0       | 0.002  | 0.0114 | 0.0207  | -1.0      | 0.0348     | 0.0041    | 0.0003     | 0.0159         | 0.0002           | 0.0255               |
| 10.9839       | 7.0   | 1624 | 11.3669         | 0.0002 | 0.0011 | 0.0    | -1.0      | 0.0005     | 0.0       | 0.0017 | 0.012  | 0.02    | -1.0      | 0.0333     | 0.0035    | 0.0003     | 0.0171         | 0.0002           | 0.023                |
| 10.9839       | 8.0   | 1856 | 11.4150         | 0.0003 | 0.0012 | 0.0    | -1.0      | 0.0006     | 0.0       | 0.0007 | 0.0111 | 0.0194  | -1.0      | 0.0325     | 0.0031    | 0.0003     | 0.0164         | 0.0002           | 0.0223               |
| 10.0392       | 9.0   | 2088 | 11.2706         | 0.0002 | 0.0011 | 0.0    | -1.0      | 0.0005     | 0.0       | 0.0019 | 0.0118 | 0.0198  | -1.0      | 0.0337     | 0.0033    | 0.0003     | 0.0163         | 0.0002           | 0.0233               |
| 10.0392       | 10.0  | 2320 | 11.3800         | 0.0002 | 0.001  | 0.0    | -1.0      | 0.0005     | 0.0001    | 0.0019 | 0.0112 | 0.0189  | -1.0      | 0.0322     | 0.0029    | 0.0003     | 0.0155         | 0.0002           | 0.0223               |


### Framework versions

- Transformers 4.50.0.dev0
- Pytorch 2.5.1+cu124
- Datasets 3.3.2
- Tokenizers 0.21.0