Add Project Page link to model card

README.md

@@ -1,99 +1,99 @@
 ---
-library_name: transformers
-license: apache-2.0
 base_model: mistralai/Mistral-7B-vp0.3
-language: en
 datasets:
 - Word2Li/MiddOptimized
+language: en
+library_name: transformers
+license: apache-2.0
+metrics:
+- accuracy
+pipeline_tag: text-generation
 tags:
 - llama-factory
 - full
-pipeline_tag: text-generation
 model-index:
 - name: Mistral-7B-v0.3-Middo-Alpaca-4o-mini
   results:
-    - task:
-        type: text-generation
-      dataset:
-        name: MMLU
-        type: MMLU
-      metrics:
-        - name: weighted accuracy
-          type: weighted accuracy
-          value: 28.83
-          verified: true
-    - task:
-        type: text-generation
-      dataset:
-        name: IFEval
-        type: IFEval
-      metrics:
-        - name: overall accuracy
-          type: overall accuracy
-          value: 47.92
-          verified: true
-    - task:
-        type: text-generation
-      dataset:
-        name: GSM8K
-        type: GSM8K
-      metrics:
-        - name: accuracy
-          type: accuracy
-          value: 48.90
-          verified: true
-    - task:
-        type: text-generation
-      dataset:
-        name: MATH
-        type: MATH
-      metrics:
-        - name: accuracy
-          type: accuracy
-          value: 11.34 
-          verified: true
-    - task:
-        type: text-generation
-      dataset:
-        name: HumanEval
-        type: HumanEval
-      metrics:
-        - name: humaneval_pass@1
-          type: humaneval_pass@1
-          value: 35.37
-          verified: true
-    - task:
-        type: text-generation
-      dataset:
-        name: MBPP
-        type: MBPP
-      metrics:
-        - name: score
-          type: score
-          value: 38.40
-          verified: true
-    - task:
-        type: text-generation
-      dataset:
-        name: Hellaswag
-        type: Hellaswag
-      metrics:
-        - name: accuracy
-          type: accuracy
-          value: 42.63
-          verified: true
-    - task:
-        type: text-generation
-      dataset:
-        name: GPQA
-        type: GPQA
-      metrics:
-        - name: accuracy
-          type: accuracy
-          value: 27.27
-          verified: true
-metrics:
-- accuracy
+  - task:
+      type: text-generation
+    dataset:
+      name: MMLU
+      type: MMLU
+    metrics:
+    - type: weighted accuracy
+      value: 28.83
+      name: weighted accuracy
+      verified: true
+  - task:
+      type: text-generation
+    dataset:
+      name: IFEval
+      type: IFEval
+    metrics:
+    - type: overall accuracy
+      value: 47.92
+      name: overall accuracy
+      verified: true
+  - task:
+      type: text-generation
+    dataset:
+      name: GSM8K
+      type: GSM8K
+    metrics:
+    - type: accuracy
+      value: 48.9
+      name: accuracy
+      verified: true
+  - task:
+      type: text-generation
+    dataset:
+      name: MATH
+      type: MATH
+    metrics:
+    - type: accuracy
+      value: 11.34
+      name: accuracy
+      verified: true
+  - task:
+      type: text-generation
+    dataset:
+      name: HumanEval
+      type: HumanEval
+    metrics:
+    - type: humaneval_pass@1
+      value: 35.37
+      name: humaneval_pass@1
+      verified: true
+  - task:
+      type: text-generation
+    dataset:
+      name: MBPP
+      type: MBPP
+    metrics:
+    - type: score
+      value: 38.4
+      name: score
+      verified: true
+  - task:
+      type: text-generation
+    dataset:
+      name: Hellaswag
+      type: Hellaswag
+    metrics:
+    - type: accuracy
+      value: 42.63
+      name: accuracy
+      verified: true
+  - task:
+      type: text-generation
+    dataset:
+      name: GPQA
+      type: GPQA
+    metrics:
+    - type: accuracy
+      value: 27.27
+      name: accuracy
+      verified: true
 ---
 
 # Mistral-7B-v0.3-Middo-Alpaca-4o-mini
@@ -102,6 +102,8 @@ Paper: [Middo: Model-Informed Dynamic Data Optimization for Enhanced LLM Fine-Tu
 
 Code: https://github.com/Word2VecT/Middo
 
+Project Page: https://huggingface.co/collections/Word2Li
+
 ## Model description
 
 This model is a fine-tuned version of [mistralai/Mistral-7B-v0.3](https://huggingface.co/mistralai/Mistral-7B-v0.3) on the [MiddOptimzed/llama_alpaca_4o_mini](https://huggingface.co/datasets/Word2Li/MiddOptimized/viewer/default/mistral_alpaca_4o_mini) dataset.
@@ -161,4 +163,4 @@ The following hyperparameters were used during training:
 - Transformers 4.45.2
 - Pytorch 2.5.1+cu121
 - Datasets 2.21.0
-- Tokenizers 0.20.1
+- Tokenizers 0.20.1