|
--- |
|
license: apache-2.0 |
|
tags: |
|
- generated_from_trainer |
|
datasets: |
|
- cd45rb |
|
model-index: |
|
- name: detr-r50-cd45rb-8ah-6l |
|
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-r50-cd45rb-8ah-6l |
|
|
|
This model is a fine-tuned version of [facebook/detr-resnet-50](https://huggingface.co/facebook/detr-resnet-50) on the cd45rb dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 1.6313 |
|
|
|
## 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: 4 |
|
- eval_batch_size: 8 |
|
- seed: 42 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- num_epochs: 10 |
|
- mixed_precision_training: Native AMP |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | |
|
|:-------------:|:-----:|:-----:|:---------------:| |
|
| 2.4794 | 1.0 | 4606 | 1.8245 | |
|
| 2.2469 | 2.0 | 9212 | 1.7593 | |
|
| 2.1817 | 3.0 | 13818 | 1.7109 | |
|
| 2.1418 | 4.0 | 18424 | 1.6976 | |
|
| 2.118 | 5.0 | 23030 | 1.6695 | |
|
| 2.1237 | 6.0 | 27636 | 1.6781 | |
|
| 2.1025 | 7.0 | 32242 | 1.6574 | |
|
| 2.0796 | 8.0 | 36848 | 1.6418 | |
|
| 2.0672 | 9.0 | 41454 | 1.6333 | |
|
| 2.0597 | 10.0 | 46060 | 1.6313 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.28.0 |
|
- Pytorch 2.0.1 |
|
- Datasets 2.12.0 |
|
- Tokenizers 0.13.3 |
|
|
