|
|
--- |
|
|
library_name: transformers |
|
|
license: apache-2.0 |
|
|
base_model: PekingU/rtdetr_r50vd |
|
|
tags: |
|
|
- generated_from_trainer |
|
|
model-index: |
|
|
- name: rtdetr-cppe5-detection |
|
|
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-cppe5-detection |
|
|
|
|
|
This model is a fine-tuned version of [PekingU/rtdetr_r50vd](https://huggingface.co/PekingU/rtdetr_r50vd) on an unknown dataset. |
|
|
It achieves the following results on the evaluation set: |
|
|
- Loss: 89.3171 |
|
|
|
|
|
## 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: 1e-05 |
|
|
- train_batch_size: 4 |
|
|
- eval_batch_size: 4 |
|
|
- seed: 42 |
|
|
- gradient_accumulation_steps: 4 |
|
|
- total_train_batch_size: 16 |
|
|
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
|
|
- lr_scheduler_type: cosine |
|
|
- lr_scheduler_warmup_ratio: 0.1 |
|
|
- num_epochs: 10 |
|
|
- mixed_precision_training: Native AMP |
|
|
|
|
|
### Training results |
|
|
|
|
|
| Training Loss | Epoch | Step | Validation Loss | |
|
|
|:-------------:|:-----:|:----:|:---------------:| |
|
|
| 237.8671 | 1.0 | 32 | 120.8588 | |
|
|
| 160.6229 | 2.0 | 64 | 87.9866 | |
|
|
| 123.3155 | 3.0 | 96 | 94.9977 | |
|
|
| 116.224 | 4.0 | 128 | 94.1750 | |
|
|
| 119.0437 | 5.0 | 160 | 96.6042 | |
|
|
| 123.0258 | 6.0 | 192 | 95.5089 | |
|
|
| 106.028 | 7.0 | 224 | 91.3961 | |
|
|
| 104.9835 | 8.0 | 256 | 90.3529 | |
|
|
| 103.8652 | 9.0 | 288 | 95.9664 | |
|
|
| 107.2287 | 10.0 | 320 | 89.3171 | |
|
|
|
|
|
|
|
|
### Framework versions |
|
|
|
|
|
- Transformers 4.57.3 |
|
|
- Pytorch 2.9.1+cu128 |
|
|
- Datasets 4.4.1 |
|
|
- Tokenizers 0.22.1 |
|
|
|
