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smids_deit_base_f1
alperenoguz/smids_deit_base_f1
smids_deit_base_f1 is a image classification model from alperenoguz. 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
- Nov 3, 2023
- Updated
- Nov 3, 2023
- SHA
- ed360176
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. -->
smids_deit_base_f1
This model is a fine-tuned version of facebook/deit-base-patch16-224 on the imagefolder dataset. It achieves the following results on the evaluation set:
- Loss: 0.4898
- Accuracy: 0.8748
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: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.3398 | 1.0 | 375 | 0.4288 | 0.8164 |
| 0.2944 | 2.0 | 750 | 0.4228 | 0.8297 |
| 0.1957 | 3.0 | 1125 | 0.4014 | 0.8497 |
| 0.176 | 4.0 | 1501 | 0.4565 | 0.8514 |
| 0.1333 | 5.0 | 1876 | 0.3698 | 0.8731 |
| 0.1322 | 6.0 | 2251 | 0.5002 | 0.8481 |
| 0.0952 | 7.0 | 2626 | 0.4711 | 0.8648 |
| 0.0941 | 8.0 | 3002 | 0.4872 | 0.8698 |
| 0.0946 | 9.0 | 3377 | 0.5003 | 0.8564 |
| 0.0911 | 9.99 | 3750 | 0.4898 | 0.8748 |
Framework versions
- Transformers 4.32.1
- Pytorch 2.1.0+cu121
- Datasets 2.12.0
- Tokenizers 0.13.2
- Task
- Image Classification
- Library
- transformers
- Type
- vit
- License
- apache-2.0
- Created
- Nov 3, 2023
- Updated
- Nov 3, 2023