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krishna-exe
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brain-tumor-classification

Image Classification
Transformers
TensorBoard
Safetensors
swin
Generated from Trainer
Eval Results (legacy)
Model card Files
xet
Metrics Community
krishna-exe commited on
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Files changed (3) hide show
  1. README.md +8 -8
  2. model.safetensors +1 -1
  3. runs/Oct17_08-59-07_201b64c75d77/events.out.tfevents.1729155600.201b64c75d77.354.0 +2 -2
README.md CHANGED
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  metrics:
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  - name: Accuracy
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  type: accuracy
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- value: 0.9512195121951219
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -33,8 +33,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [microsoft/swin-tiny-patch4-window7-224](https://huggingface.co/microsoft/swin-tiny-patch4-window7-224) on the imagefolder dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.1205
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- - Accuracy: 0.9512
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:------:|:----:|:---------------:|:--------:|
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- | 0.5688 | 0.9877 | 40 | 0.4366 | 0.8188 |
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- | 0.4246 | 2.0 | 81 | 0.2760 | 0.8920 |
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- | 0.2666 | 2.9877 | 121 | 0.1966 | 0.9338 |
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- | 0.2205 | 4.0 | 162 | 0.1422 | 0.9582 |
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- | 0.1729 | 4.9383 | 200 | 0.1205 | 0.9512 |
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  ### Framework versions
 
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  metrics:
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  - name: Accuracy
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  type: accuracy
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+ value: 0.9337979094076655
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
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  This model is a fine-tuned version of [microsoft/swin-tiny-patch4-window7-224](https://huggingface.co/microsoft/swin-tiny-patch4-window7-224) on the imagefolder dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.1675
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+ - Accuracy: 0.9338
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:------:|:----:|:---------------:|:--------:|
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+ | 0.9439 | 0.9877 | 40 | 0.4739 | 0.8397 |
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+ | 0.4044 | 2.0 | 81 | 0.2816 | 0.8920 |
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+ | 0.2937 | 2.9877 | 121 | 0.2262 | 0.9233 |
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+ | 0.2349 | 4.0 | 162 | 0.1719 | 0.9338 |
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+ | 0.2065 | 4.9383 | 200 | 0.1675 | 0.9338 |
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  ### Framework versions
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