metadata
license: apache-2.0
base_model: microsoft/conditional-detr-resnet-50
tags:
- generated_from_trainer
datasets:
- imagefolder
model-index:
- name: conditional-detr-resnet-50_adamw_hf_finetuned_food-roboflow
results: []
conditional-detr-resnet-50_adamw_hf_finetuned_food-roboflow
This model is a fine-tuned version of microsoft/conditional-detr-resnet-50 on the imagefolder dataset. It achieves the following results on the evaluation set:
- Loss: 129.1634
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 15
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 4812.2437 | 0.77 | 50 | 3257.7490 |
| 2205.0228 | 1.54 | 100 | 1453.2478 |
| 1222.5505 | 2.31 | 150 | 949.4603 |
| 888.8566 | 3.08 | 200 | 721.9152 |
| 673.4776 | 3.85 | 250 | 580.5336 |
| 554.9669 | 4.62 | 300 | 477.4659 |
| 443.6898 | 5.38 | 350 | 398.8947 |
| 392.5455 | 6.15 | 400 | 337.2477 |
| 321.1821 | 6.92 | 450 | 288.8497 |
| 289.3218 | 7.69 | 500 | 250.5900 |
| 244.5445 | 8.46 | 550 | 220.2824 |
| 228.1762 | 9.23 | 600 | 196.4913 |
| 181.0313 | 10.0 | 650 | 177.2145 |
| 175.8284 | 10.77 | 700 | 162.3775 |
| 149.3609 | 11.54 | 750 | 150.6808 |
| 155.7112 | 12.31 | 800 | 141.9936 |
| 141.18 | 13.08 | 850 | 135.6279 |
| 139.506 | 13.85 | 900 | 131.5291 |
| 132.3059 | 14.62 | 950 | 129.1634 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1