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deit-small-patch16-224-finetuned-MUSCIMApp
nadimkanazi/deit-small-patch16-224-finetuned-MUSCIMApp
deit-small-patch16-224-finetuned-MUSCIMApp is a image classification model from nadimkanazi. 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
- Apr 29, 2024
- Updated
- Apr 29, 2024
- SHA
- e2b029fd
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. -->
deit-small-patch16-224-finetuned-MUSCIMApp
This model is a fine-tuned version of facebook/deit-small-patch16-224 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3384
- Accuracy: 0.8743
- Precision: 0.8675
- Recall: 0.8743
- F1 Score: 0.8584
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: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 Score |
|---|---|---|---|---|---|---|---|
| 0.3723 | 1.0 | 563 | 0.3915 | 0.8646 | 0.8512 | 0.8646 | 0.8453 |
| 0.3147 | 2.0 | 1126 | 0.3384 | 0.8743 | 0.8675 | 0.8743 | 0.8584 |
Framework versions
- Transformers 4.30.0
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.13.3
- Task
- Image Classification
- Library
- transformers
- Type
- vit
- License
- apache-2.0
- Created
- Apr 29, 2024
- Updated
- Apr 29, 2024