Update README.md

README.md

@@ -1,20 +1,60 @@
----
-language:
-- en
----
 ---
+license: mit
+model-index:
+- name: Rubra-Phi-3-mini-128k-instruct
+  results:
+  - task:
+      type: text-generation
+    dataset:
+      type: MMLU
+      name: MMLU
+    metrics:
+    - type: 5-shot
+      value: 66.66
+      verified: false
+  - task:
+      type: text-generation
+    dataset:
+      type: GPQA
+      name: GPQA
+    metrics:
+    - type: 0-shot
+      value: 29.24
+      verified: false
+  - task:
+      type: text-generation
+    dataset:
+      type: GSM-8K
+      name: GSM-8K
+    metrics:
+    - type: 8-shot, CoT
+      value: 74.09
+      verified: false
+  - task:
+      type: text-generation
+    dataset:
+      type: MATH
+      name: MATH
+    metrics:
+    - type: 4-shot, CoT
+      value: 26.84
+      verified: false
+  - task:
+      type: text-generation
+    dataset:
+      type: MT-bench
+      name: MT-bench
+    metrics:
+    - type: GPT-4 as Judge
+      value: 7.45
+      verified: false
+tags:
+- function-calling
+- tool-calling
+- agentic
+- rubra
+language:
+- en
 ---
 
-<!-- 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. -->
-
-# run1_short_8000
-
-This model is a fine-tuned version of [microsoft/Phi-3-mini-128k-instruct](https://huggingface.co/microsoft/Phi-3-mini-128k-instruct) on the rubra_train_v1_phi3_short dataset.
-
-### Framework versions
-
-- Transformers 4.41.2
-- Pytorch 2.3.0+cu121
-- Datasets 2.19.2
-- Tokenizers 0.19.1
+# Phi-3-mini-128k-instruct