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finetuned-BrainTumor
Dharamanand/finetuned-BrainTumor
finetuned-BrainTumor is a image classification model from Dharamanand. 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 21, 2024
- Updated
- Apr 24, 2024
- SHA
- bb64f933
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. -->
finetuned-BrainTumor
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the BrainTumorMRI dataset. It achieves the following results on the evaluation set:
- Loss: 0.0769
- Accuracy: 0.9763
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: 0.0002
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.5419 | 0.2674 | 100 | 0.2146 | 0.9317 |
| 0.23 | 0.5348 | 200 | 0.3410 | 0.8833 |
| 0.239 | 0.8021 | 300 | 0.1327 | 0.9573 |
| 0.1849 | 1.0695 | 400 | 0.1202 | 0.9649 |
| 0.1073 | 1.3369 | 500 | 0.1510 | 0.9545 |
| 0.1381 | 1.6043 | 600 | 0.0769 | 0.9763 |
| 0.146 | 1.8717 | 700 | 0.0821 | 0.9753 |
Framework versions
- Transformers 4.40.0
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1
- Task
- Image Classification
- Library
- transformers
- Type
- vit
- License
- apache-2.0
- Created
- Apr 21, 2024
- Updated
- Apr 24, 2024