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FGVCBoeing737
CYK007/FGVCBoeing737
FGVCBoeing737 is a image classification model from CYK007. Use it when you need a label for an image. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Image Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- resnet
- Access
- Public
- Created
- Sep 14, 2026
- Updated
- Sep 18, 2026
- SHA
- 4ffd9cbf
Base models
Datasets
Model card
From the Hugging Face model README
<!-- 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. -->
FGVCBoeing737
This model is a fine-tuned version of microsoft/resnet-50 on the imagefolder dataset. It achieves the following results on the evaluation set:
- Loss: 0.9134
- Accuracy: 0.8239
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: 16
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- num_epochs: 20
- label_smoothing_factor: 0.1
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 2.2723 | 1.0 | 63 | 2.3126 | 0.2590 |
| 2.2044 | 2.0 | 126 | 2.2263 | 0.4819 |
| 2.0267 | 3.0 | 189 | 2.0182 | 0.5422 |
| 1.6565 | 4.0 | 252 | 1.6908 | 0.5904 |
| 1.3822 | 5.0 | 315 | 1.4238 | 0.6717 |
| 1.1317 | 6.0 | 378 | 1.2162 | 0.7169 |
| 1.0107 | 7.0 | 441 | 1.0833 | 0.7801 |
| 0.8907 | 8.0 | 504 | 1.0006 | 0.7982 |
| 0.7858 | 9.0 | 567 | 0.9280 | 0.8163 |
| 0.7806 | 10.0 | 630 | 0.9243 | 0.8373 |
| 0.6625 | 11.0 | 693 | 0.9156 | 0.8223 |
| 0.6463 | 12.0 | 756 | 0.8927 | 0.8404 |
| 0.7098 | 13.0 | 819 | 0.8751 | 0.8434 |
| 0.6272 | 14.0 | 882 | 0.8363 | 0.8464 |
| 0.6315 | 15.0 | 945 | 0.8752 | 0.8434 |
| 0.6549 | 16.0 | 1008 | 0.8558 | 0.8313 |
| 0.6195 | 17.0 | 1071 | 0.8487 | 0.8404 |
| 0.5881 | 18.0 | 1134 | 0.8336 | 0.8614 |
| 0.6305 | 19.0 | 1197 | 0.8696 | 0.8283 |
| 0.6076 | 20.0 | 1260 | 0.8685 | 0.8343 |
Framework versions
- Transformers 5.16.1
- Pytorch 2.11.0+cu128
- Datasets 4.8.5
- Tokenizers 0.23.1
- Task
- Image Classification
- Library
- transformers
- Type
- resnet
- License
- apache-2.0
- Created
- Sep 14, 2026
- Updated
- Sep 18, 2026