Update README.md

README.md

@@ -1,33 +1,61 @@
----
-language:
-- en
----
 ---
+license: apache-2.0
+model-index:
+- name: Rubra-Meta-Llama-3-8B-Instruct
+  results:
+  - task:
+      type: text-generation
+    dataset:
+      type: MMLU
+      name: MMLU
+    metrics:
+    - type: 5-shot
+      value: 68.88
+      verified: false
+  - task:
+      type: text-generation
+    dataset:
+      type: GPQA
+      name: GPQA
+    metrics:
+    - type: 0-shot
+      value: 30.36
+      verified: false
+  - task:
+      type: text-generation
+    dataset:
+      type: GSM-8K
+      name: GSM-8K
+    metrics:
+    - type: 8-shot, CoT
+      value: 75.82
+      verified: false
+  - task:
+      type: text-generation
+    dataset:
+      type: MATH
+      name: MATH
+    metrics:
+    - type: 4-shot, CoT
+      value: 28.72
+      verified: false
+  - task:
+      type: text-generation
+    dataset:
+      type: MT-bench
+      name: MT-bench
+    metrics:
+    - type: GPT-4 as Judge
+      value: 8.08
+      verified: false
+tags:
+- function-calling
+- tool-calling
+- agentic
+- rubra
+language:
+- en
+- zh
 ---
 
-<!-- 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_20000
-
-This model is a fine-tuned version of [Qwen/Qwen2-7B-Instruct](https://huggingface.co/Qwen/Qwen2-7B-Instruct) on the rubra_train_v1_qwen_short dataset.
-
-### Training hyperparameters
-
-The following hyperparameters were used during training:
-- learning_rate: 2e-05
-- train_batch_size: 1
-- eval_batch_size: 8
-- seed: 42
-- gradient_accumulation_steps: 20
-- total_train_batch_size: 20
-- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
-- lr_scheduler_type: cosine
-- num_epochs: 1.0
-
-### Framework versions
-
-- Transformers 4.41.2
-- Pytorch 2.3.1+cu121
-- Datasets 2.19.2
-- Tokenizers 0.19.1
+# Qwen2 7B Instruct