|
--- |
|
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: [] |
|
--- |
|
|
|
<!-- 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. --> |
|
|
|
# conditional-detr-resnet-50_adamw_hf_finetuned_food-roboflow |
|
|
|
This model is a fine-tuned version of [microsoft/conditional-detr-resnet-50](https://huggingface.co/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 |
|
|
