metadata
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: detr-resnet-50-CD45RB-1000-att
results: []
detr-resnet-50-CD45RB-1000-att
This model is a fine-tuned version of facebook/detr-resnet-50 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.7409
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: 0.0001
- 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
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.4338 | 1.0 | 94 | 2.4137 |
| 2.9565 | 2.0 | 188 | 2.1738 |
| 2.7101 | 3.0 | 282 | 2.0122 |
| 2.7515 | 4.0 | 376 | 1.9646 |
| 2.724 | 5.0 | 470 | 2.1284 |
| 2.6193 | 6.0 | 564 | 1.9380 |
| 2.5032 | 7.0 | 658 | 1.9286 |
| 2.5342 | 8.0 | 752 | 1.9366 |
| 2.5519 | 9.0 | 846 | 1.9736 |
| 2.4988 | 10.0 | 940 | 1.8816 |
| 2.5101 | 11.0 | 1034 | 1.8454 |
| 2.4441 | 12.0 | 1128 | 1.8143 |
| 2.3857 | 13.0 | 1222 | 1.7919 |
| 2.2877 | 14.0 | 1316 | 1.7400 |
| 2.3013 | 15.0 | 1410 | 1.7409 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.10.0
- Tokenizers 0.13.2