|
--- |
|
license: apache-2.0 |
|
base_model: facebook/detr-resnet-50 |
|
tags: |
|
- object-detection |
|
- vision |
|
- generated_from_trainer |
|
model-index: |
|
- name: detr-resnet-50-base-coco |
|
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. --> |
|
|
|
# detr-resnet-50-base-coco |
|
|
|
This model is a fine-tuned version of [facebook/detr-resnet-50](https://huggingface.co/facebook/detr-resnet-50) on the detection-datasets/coco dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 5474.2090 |
|
|
|
## 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: 2e-05 |
|
- train_batch_size: 8 |
|
- eval_batch_size: 8 |
|
- seed: 1337 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- num_epochs: 5.0 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | |
|
|:-------------:|:-----:|:----:|:---------------:| |
|
| No log | 1.0 | 4 | 5475.6172 | |
|
| No log | 2.0 | 8 | 5475.1104 | |
|
| 4957.6352 | 3.0 | 12 | 5474.6855 | |
|
| 4957.6352 | 4.0 | 16 | 5474.3438 | |
|
| 5016.0344 | 5.0 | 20 | 5474.2090 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.32.0.dev0 |
|
- Pytorch 2.0.0+cu117 |
|
- Datasets 2.13.1 |
|
- Tokenizers 0.13.3 |
|
|
