Update README.md

README.md

@@ -6,9 +6,58 @@ language:
 - en
 metrics:
 - accuracy
-library_name: adapter-transformers
 pipeline_tag: image-classification
 tags:
 - medical
 - biology
----
+---
+
+
+# Brain_Tumor_Classification
+
+This model is a fine-tuned version on the braTS20 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0272
+- Accuracy: 0.9912
+
+
+## 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: 0.000001
+- min_lr=0.000001
+- train_batch_size: 32
+- eval_batch_size: 32
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 5
+
+### Training results
+
+| Training Loss |Epoch| Step | Validation Loss| Accuracy | 
+|:-------------:|:--:|:----:|:---------------:|:--------:|
+| 0.3208        | 1  | 83   | 0.3162          | 0.9461   |
+| 0.0392        | 2  | 166  | 0.1177          | 0.9893   | 
+| 0.0326        | 3  | 249  | 0.2596          | 0.9899   | 
+| 0.0351        | 4  | 332  | 0.3398          | 0.9888   | 
+| 0.0272        | 5  | 415  | 0.2636          | 0.9912   |
+### Framework 
+
+- Keras 
+- Pytorch 
+- TensorFlow
+- Datasets