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tumour
essam24/tumour
tumour is a image classification model from essam24. Use it when you need a label for an image. 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
- License
- apache-2.0
- Model type
- resnet
- Access
- Public
- Created
- Sep 2, 2024
- Updated
- Sep 2, 2024
- SHA
- 37060efc
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. -->
tumour
This model is a fine-tuned version of microsoft/resnet-50 on the essam24/brain-tumour-v1 dataset. It achieves the following results on the evaluation set:
- Loss: 0.8286
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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 195 | 4.5083 |
| No log | 2.0 | 390 | 1.4575 |
| 3.0791 | 3.0 | 585 | 0.9050 |
| 3.0791 | 4.0 | 780 | 0.8538 |
| 3.0791 | 5.0 | 975 | 0.8286 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1
- Task
- Image Classification
- Type
- resnet
- License
- apache-2.0
- Created
- Sep 2, 2024
- Updated
- Sep 2, 2024