Create README.md

README.md

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+---
+metrics:
+- accuracy
+tags:
+- image classification
+- breast cancer
+- fasterViT
+---
+
+This model is a fine-tuned version of FasterViT on the CBIS-DDSM dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6982
+- Accuracy: 0.6267
+
+# Model card
+
+## Model description
+More information needed
+
+## Intended uses & limitations
+More information needed
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 1e-3
+- train_batch_size: 16
+- eval_batch_size: 16
+
+## Training and evaluation data
+| Training Loss | Epoch | Validation Loss | Accuracy |
+|:-------------:|:-----:|:---------------:|:--------:|
+| 0.8103        | 1.0   | 1.2116          | 0.0000   | 
+| 0.7289        | 2.0   | 0.7354          | 0.5200   |
+| 0.7414        | 3.0   | 0.7137          | 0.5733   |
+| 0.7076        | 4.0   | 0.7624          | 0.4267   |
+| 0.7120        | 5.0   | 0.6934          | 0.2667   |
+| 0.6968        | 6.0   | 0.6982          | 0.6267   |
+
+
+## Framework Versions
+- Pytorch 2.3.1+cu121
+- Datasets 2.21.0
+
+
+---