metadata
library_name: transformers
license: apache-2.0
base_model: microsoft/conditional-detr-resnet-50
tags:
- generated_from_trainer
model-index:
- name: detr_finetuned_trashify_box_detector_with_data_aug
results: []
detr_finetuned_trashify_box_detector_with_data_aug
This model is a fine-tuned version of microsoft/conditional-detr-resnet-50 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.0749
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: 0.0001
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 25
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 36.0329 | 1.0 | 50 | 3.4510 |
| 2.8564 | 2.0 | 100 | 2.2827 |
| 2.3323 | 3.0 | 150 | 2.1028 |
| 2.1202 | 4.0 | 200 | 1.8915 |
| 1.9452 | 5.0 | 250 | 1.6696 |
| 1.7582 | 6.0 | 300 | 1.5181 |
| 1.6291 | 7.0 | 350 | 1.4310 |
| 1.5394 | 8.0 | 400 | 1.3669 |
| 1.4751 | 9.0 | 450 | 1.3164 |
| 1.3906 | 10.0 | 500 | 1.2860 |
| 1.394 | 11.0 | 550 | 1.2915 |
| 1.338 | 12.0 | 600 | 1.2461 |
| 1.3071 | 13.0 | 650 | 1.2300 |
| 1.2772 | 14.0 | 700 | 1.2059 |
| 1.2363 | 15.0 | 750 | 1.1639 |
| 1.2213 | 16.0 | 800 | 1.1547 |
| 1.1372 | 17.0 | 850 | 1.1213 |
| 1.1423 | 18.0 | 900 | 1.1322 |
| 1.0991 | 19.0 | 950 | 1.1069 |
| 1.1041 | 20.0 | 1000 | 1.1001 |
| 1.0921 | 21.0 | 1050 | 1.0869 |
| 1.063 | 22.0 | 1100 | 1.0760 |
| 1.0561 | 23.0 | 1150 | 1.0775 |
| 1.0373 | 24.0 | 1200 | 1.0799 |
| 1.0325 | 25.0 | 1250 | 1.0749 |
Framework versions
- Transformers 4.45.0.dev0
- Pytorch 2.4.0+cu124
- Datasets 2.21.0
- Tokenizers 0.19.1