ChavyvAkvar/rtdetr-finetuned-multi-pills
By ChavyvAkvar · ↓ 7 · ♥ 0 · Updated 2025-07-08
What's in this repo
This page lists the files in ChavyvAkvar/rtdetr-finetuned-multi-pills, including model_quantized.onnx, model.onnx.
- 2 ONNX models (.onnx files)
- 23 files, including 7 .json, 5 .0, 3 .1, 2 .onnx, 1 .ipynb, 1 .md
- Last updated 2025-07-08
ONNX files
How to use
These ONNX files can be loaded with ONNX Runtime. To inspect a model graph, upload the file to the Netron viewer. Download links point to the original files on Hugging Face.
README
rtdetr-finetuned-multi-pills
This model is a fine-tuned version of PekingU/rtdetr_v2_r18vd on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.4598
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
- 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
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.0462 | 1.0 | 2250 | 1.8173 |
| 2.649 | 2.0 | 4500 | 1.5343 |
| 2.4828 | 3.0 | 6750 | 1.4598 |
Framework versions
- Transformers 4.53.0
- Pytorch 2.6.0+cu124
- Datasets 2.14.4
- Tokenizers 0.21.2
Model info
Created: 2025-07-08
Updated: 2025-07-08
View on Hugging FaceFiles (23)
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