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README.md

@@ -1,65 +1,44 @@
 ---
 library_name: transformers
-license: apache-2.0
-base_model: google/vit-base-patch16-224-in21k
+pipeline_tag: image-classification
 tags:
-- generated_from_trainer
-metrics:
-- accuracy
-model-index:
-- name: vit-beans-sofiane
-  results: []
+- image-classification
+- vit
+- beans
+datasets:
+- AI-Lab-Makerere/beans
 ---
 
-<!-- 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. -->
+# ViT Beans Classifier
 
-# vit-beans-sofiane
+Vision Transformer fine-tuned for bean leaf disease classification.
 
-This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on an unknown dataset.
-It achieves the following results on the evaluation set:
-- Loss: 0.1224
-- Accuracy: 0.9688
+## Repository
 
-## Model description
+`sofiane-isi/vit-beans-sofiane`
 
-More information needed
+## Dataset
 
-## Intended uses & limitations
+`AI-Lab-Makerere/beans`
 
-More information needed
+Classes:
+- angular_leaf_spot
+- bean_rust
+- healthy
 
-## Training and evaluation data
+## Evaluation
 
-More information needed
+- Accuracy: 0.96875
+- Evaluation loss: 0.12236211448907852
 
-## Training procedure
+## Base model
 
-### Training hyperparameters
+`google/vit-base-patch16-224-in21k`
 
-The following hyperparameters were used during training:
-- learning_rate: 5e-05
-- train_batch_size: 16
-- eval_batch_size: 16
-- seed: 42
-- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
-- lr_scheduler_type: linear
-- lr_scheduler_warmup_steps: 26
-- num_epochs: 4
+## MLOps workflow
 
-### Training results
+Dataset → preprocessing → fine-tuning → evaluation → Hugging Face Hub → Model Card → Space.
 
-| Training Loss | Epoch | Step | Validation Loss | Accuracy |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.2800        | 1.0   | 65   | 0.2102          | 0.9699   |
-| 0.1494        | 2.0   | 130  | 0.1203          | 0.9699   |
-| 0.0871        | 3.0   | 195  | 0.1297          | 0.9699   |
-| 0.1232        | 4.0   | 260  | 0.1018          | 0.9774   |
+## Limitations
 
-
-### Framework versions
-
-- Transformers 5.16.1
-- Pytorch 2.11.0+cu128
-- Datasets 5.0.1
-- Tokenizers 0.23.1
+Educational model fine-tuned specifically on the Beans dataset.