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galaxy10_decals_vit
matthieulel/galaxy10_decals_vit
galaxy10_decals_vit is a image classification model from matthieulel. 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
- vit
- Access
- Public
- Created
- Oct 25, 2023
- Updated
- Mar 20, 2024
- SHA
- a1f90cb1
Base models
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. -->
galaxy10_decals_vit
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.5782
- Accuracy: 0.8391
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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.216 | 1.0 | 363 | 1.1126 | 0.7115 |
| 0.8912 | 2.0 | 727 | 0.8005 | 0.7688 |
| 0.7469 | 3.0 | 1091 | 0.6824 | 0.7920 |
| 0.7641 | 4.0 | 1455 | 0.6010 | 0.8128 |
| 0.6819 | 5.0 | 1818 | 0.5770 | 0.8190 |
| 0.5211 | 6.0 | 2182 | 0.5590 | 0.8167 |
| 0.6417 | 7.0 | 2546 | 0.5780 | 0.8113 |
| 0.5331 | 8.0 | 2910 | 0.5579 | 0.8268 |
| 0.4962 | 9.0 | 3273 | 0.5375 | 0.8415 |
| 0.4047 | 10.0 | 3637 | 0.5290 | 0.8337 |
| 0.3155 | 11.0 | 4001 | 0.5136 | 0.8430 |
| 0.3577 | 12.0 | 4365 | 0.5641 | 0.8283 |
| 0.3345 | 13.0 | 4728 | 0.5634 | 0.8306 |
| 0.299 | 14.0 | 5092 | 0.5855 | 0.8260 |
| 0.2879 | 15.0 | 5456 | 0.5459 | 0.8407 |
| 0.2822 | 16.0 | 5820 | 0.5681 | 0.8368 |
| 0.3435 | 17.0 | 6183 | 0.5806 | 0.8322 |
| 0.2899 | 18.0 | 6547 | 0.5857 | 0.8368 |
| 0.2323 | 19.0 | 6911 | 0.5781 | 0.8337 |
| 0.2266 | 19.96 | 7260 | 0.5782 | 0.8391 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
- Task
- Image Classification
- Library
- transformers
- Type
- vit
- License
- apache-2.0
- Created
- Oct 25, 2023
- Updated
- Mar 20, 2024