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---
library_name: transformers
license: apache-2.0
base_model: PekingU/rtdetr_r50vd_coco_o365
tags:
- generated_from_trainer
model-index:
- name: rtdetr-r50-fruits2-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-fruits2-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: 12.5005
- Map: 0.4374
- Map 50: 0.5647
- Map 75: 0.4601
- Map Small: 0.1357
- Map Medium: 0.3572
- Map Large: 0.617
- Mar 1: 0.2516
- Mar 10: 0.5739
- Mar 100: 0.7003
- Mar Small: 0.3578
- Mar Medium: 0.6855
- Mar Large: 0.8642
- Map Apple: 0.4334
- Mar 100 Apple: 0.6864
- Map Banana: 0.4636
- Mar 100 Banana: 0.7153
- Map Grapes: 0.4037
- Mar 100 Grapes: 0.6071
- Map Orange: 0.305
- Mar 100 Orange: 0.6301
- Map Pineapple: 0.5309
- Mar 100 Pineapple: 0.7449
- Map Watermelon: 0.4881
- Mar 100 Watermelon: 0.8182
## 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: 1
### 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 Apple | Mar 100 Apple | Map Banana | Mar 100 Banana | Map Grapes | Mar 100 Grapes | Map Orange | Mar 100 Orange | Map Pineapple | Mar 100 Pineapple | Map Watermelon | Mar 100 Watermelon |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:----------:|:---------:|:------:|:------:|:-------:|:---------:|:----------:|:---------:|:---------:|:-------------:|:----------:|:--------------:|:----------:|:--------------:|:----------:|:--------------:|:-------------:|:-----------------:|:--------------:|:------------------:|
| 35.0679 | 1.0 | 750 | 12.5005 | 0.4374 | 0.5647 | 0.4601 | 0.1357 | 0.3572 | 0.617 | 0.2516 | 0.5739 | 0.7003 | 0.3578 | 0.6855 | 0.8642 | 0.4334 | 0.6864 | 0.4636 | 0.7153 | 0.4037 | 0.6071 | 0.305 | 0.6301 | 0.5309 | 0.7449 | 0.4881 | 0.8182 |
### Framework versions
- Transformers 4.53.0.dev0
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.21.1
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