Update README.md

README.md

@@ -5,13 +5,22 @@ datasets:
 language:
 - en
 metrics:
-- f1
-- precision
-- recall
-- accuracy
+- name: F1
+  type: f1
+  value: 0.86
+- name: Precision
+  type: precision
+  value: 0.87
+- name: Recall
+  type: recall
+  value: 0.85
+- name: Accuracy
+  type: accuracy
+  value: 0.87
 base_model:
 - google/efficientnet-b0
 
+
 pipeline_tag: image-classification
 tags:
 - computer-vision
@@ -120,7 +129,7 @@ Input Size:
 
 Dataset Repository:
 
-<HF_DATASET_LINK>
+[![HSRP-Classification Dataset](https://img.shields.io/badge/Dataset-00000)](https://huggingface.co/datasets/Smolry/HSRP_classification_data)
 
 Classes:
 
@@ -229,7 +238,7 @@ The model was trained in two stages:
 | ![Phase 1](training/phase1_loss.png) | ![Phase 2](training/phase2_loss.png) |
 
 The epoch-level training history is available in
-`training/training_history.json`.
+[![Training Hisitory](https://img.shields.io/badge/Training_History-training__history.json-blue?logo=json&logoColor=white)](https://huggingface.co/Smolry/HSRP-classification/blob/main/training/training_history.json)
 
 ---