Update README.md

README.md

@@ -1,102 +1,118 @@
 ---
 library_name: transformers
-tags: []
-# #model-index:
-# - name: LLAMA_Harsha_8_B_ORDP_10k
-#   results:
-#   - task:
-#       type: text-generation
-#       name: Text Generation
-#     dataset:
-#       name: IFEval (0-Shot)
-#       type: HuggingFaceH4/ifeval
-#       args:
-#         num_few_shot: 0
-#     metrics:
-#     - type: inst_level_strict_acc and prompt_level_strict_acc
-#       value: 34.64
-#       name: strict accuracy
-#     source:
-#       url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=asharsha30/LLAMA_Harsha_8_B_ORDP_10k
-#       name: Open LLM Leaderboard
-#   - task:
-#       type: text-generation
-#       name: Text Generation
-#     dataset:
-#       name: BBH (3-Shot)
-#       type: BBH
-#       args:
-#         num_few_shot: 3
-#     metrics:
-#     - type: acc_norm
-#       value: 25.73
-#       name: normalized accuracy
-#     source:
-#       url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=asharsha30/LLAMA_Harsha_8_B_ORDP_10k
-#       name: Open LLM Leaderboard
-#   - task:
-#       type: text-generation
-#       name: Text Generation
-#     dataset:
-#       name: MATH Lvl 5 (4-Shot)
-#       type: hendrycks/competition_math
-#       args:
-#         num_few_shot: 4
-#     metrics:
-#     - type: exact_match
-#       value: 5.21
-#       name: exact match
-#     source:
-#       url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=asharsha30/LLAMA_Harsha_8_B_ORDP_10k
-#       name: Open LLM Leaderboard
-#   - task:
-#       type: text-generation
-#       name: Text Generation
-#     dataset:
-#       name: GPQA (0-shot)
-#       type: Idavidrein/gpqa
-#       args:
-#         num_few_shot: 0
-#     metrics:
-#     - type: acc_norm
-#       value: 3.13
-#       name: acc_norm
-#     source:
-#       url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=asharsha30/LLAMA_Harsha_8_B_ORDP_10k
-#       name: Open LLM Leaderboard
-#   - task:
-#       type: text-generation
-#       name: Text Generation
-#     dataset:
-#       name: MuSR (0-shot)
-#       type: TAUR-Lab/MuSR
-#       args:
-#         num_few_shot: 0
-#     metrics:
-#     - type: acc_norm
-#       value: 7.07
-#       name: acc_norm
-#     source:
-#       url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=asharsha30/LLAMA_Harsha_8_B_ORDP_10k
-#       name: Open LLM Leaderboard
-#   - task:
-#       type: text-generation
-#       name: Text Generation
-#     dataset:
-#       name: MMLU-PRO (5-shot)
-#       type: TIGER-Lab/MMLU-Pro
-#       config: main
-#       split: test
-#       args:
-#         num_few_shot: 5
-#     metrics:
-#     - type: acc
-#       value: 20.11
-#       name: accuracy
-#     source:
-#       url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=asharsha30/LLAMA_Harsha_8_B_ORDP_10k
-#       name: Open LLM Leaderboard
-# ---
+tags:
+- orpo
+- llama3-8B
+- Supervised_Training
+model-index:
+- name: LLAMA_Harsha_8_B_ORDP_10k
+  results:
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: IFEval (0-Shot)
+      type: HuggingFaceH4/ifeval
+      args:
+        num_few_shot: 0
+    metrics:
+    - type: inst_level_strict_acc and prompt_level_strict_acc
+      value: 34.64
+      name: strict accuracy
+    source:
+      url: >-
+        https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=asharsha30/LLAMA_Harsha_8_B_ORDP_10k
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: BBH (3-Shot)
+      type: BBH
+      args:
+        num_few_shot: 3
+    metrics:
+    - type: acc_norm
+      value: 25.73
+      name: normalized accuracy
+    source:
+      url: >-
+        https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=asharsha30/LLAMA_Harsha_8_B_ORDP_10k
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: MATH Lvl 5 (4-Shot)
+      type: hendrycks/competition_math
+      args:
+        num_few_shot: 4
+    metrics:
+    - type: exact_match
+      value: 5.21
+      name: exact match
+    source:
+      url: >-
+        https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=asharsha30/LLAMA_Harsha_8_B_ORDP_10k
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: GPQA (0-shot)
+      type: Idavidrein/gpqa
+      args:
+        num_few_shot: 0
+    metrics:
+    - type: acc_norm
+      value: 3.13
+      name: acc_norm
+    source:
+      url: >-
+        https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=asharsha30/LLAMA_Harsha_8_B_ORDP_10k
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: MuSR (0-shot)
+      type: TAUR-Lab/MuSR
+      args:
+        num_few_shot: 0
+    metrics:
+    - type: acc_norm
+      value: 7.07
+      name: acc_norm
+    source:
+      url: >-
+        https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=asharsha30/LLAMA_Harsha_8_B_ORDP_10k
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: MMLU-PRO (5-shot)
+      type: TIGER-Lab/MMLU-Pro
+      config: main
+      split: test
+      args:
+        num_few_shot: 5
+    metrics:
+    - type: acc
+      value: 20.11
+      name: accuracy
+    source:
+      url: >-
+        https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=asharsha30/LLAMA_Harsha_8_B_ORDP_10k
+      name: Open LLM Leaderboard
+license: apache-2.0
+datasets:
+- mlabonne/orpo-dpo-mix-40k
+language:
+- en
+base_model:
+- meta-llama/Llama-3.1-8B
+---
 
 # Model Card for Model ID
 
@@ -373,6 +389,4 @@ Average: 37.96%
 
 Average score: 50.01%
 
-Elapsed time: 02:36:38
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+Elapsed time: 02:36:38