|
--- |
|
library_name: transformers |
|
license: apache-2.0 |
|
base_model: facebook/detr-resnet-50 |
|
tags: |
|
- generated_from_trainer |
|
datasets: |
|
- imagefolder |
|
model-index: |
|
- name: results |
|
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. --> |
|
|
|
# results |
|
|
|
This model is a fine-tuned version of [facebook/detr-resnet-50](https://huggingface.co/facebook/detr-resnet-50) on the imagefolder dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 1.1423 |
|
|
|
## 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: 5e-05 |
|
- train_batch_size: 4 |
|
- eval_batch_size: 4 |
|
- seed: 42 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- num_epochs: 30 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | |
|
|:-------------:|:-----:|:----:|:---------------:| |
|
| No log | 1.0 | 2 | 5.4207 | |
|
| No log | 2.0 | 4 | 3.5959 | |
|
| No log | 3.0 | 6 | 2.6546 | |
|
| No log | 4.0 | 8 | 2.5924 | |
|
| 4.7135 | 5.0 | 10 | 2.4246 | |
|
| 4.7135 | 6.0 | 12 | 2.3156 | |
|
| 4.7135 | 7.0 | 14 | 2.0630 | |
|
| 4.7135 | 8.0 | 16 | 1.8700 | |
|
| 4.7135 | 9.0 | 18 | 1.9057 | |
|
| 1.9751 | 10.0 | 20 | 1.8555 | |
|
| 1.9751 | 11.0 | 22 | 1.7879 | |
|
| 1.9751 | 12.0 | 24 | 1.6941 | |
|
| 1.9751 | 13.0 | 26 | 1.6313 | |
|
| 1.9751 | 14.0 | 28 | 1.5788 | |
|
| 1.6067 | 15.0 | 30 | 1.5095 | |
|
| 1.6067 | 16.0 | 32 | 1.4926 | |
|
| 1.6067 | 17.0 | 34 | 1.3962 | |
|
| 1.6067 | 18.0 | 36 | 1.3799 | |
|
| 1.6067 | 19.0 | 38 | 1.4024 | |
|
| 1.3628 | 20.0 | 40 | 1.3731 | |
|
| 1.3628 | 21.0 | 42 | 1.3351 | |
|
| 1.3628 | 22.0 | 44 | 1.2939 | |
|
| 1.3628 | 23.0 | 46 | 1.3056 | |
|
| 1.3628 | 24.0 | 48 | 1.2118 | |
|
| 1.2051 | 25.0 | 50 | 1.1925 | |
|
| 1.2051 | 26.0 | 52 | 1.1810 | |
|
| 1.2051 | 27.0 | 54 | 1.1621 | |
|
| 1.2051 | 28.0 | 56 | 1.1491 | |
|
| 1.2051 | 29.0 | 58 | 1.1433 | |
|
| 1.0991 | 30.0 | 60 | 1.1423 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.44.2 |
|
- Pytorch 2.5.0+cu121 |
|
- Datasets 3.1.0 |
|
- Tokenizers 0.19.1 |
|
|
