Renaming Model LeroyDyer/Mixtral_AI_128k_bioMedical to LeroyDyer/Mixtral_AI_Cyber_SmartBrain_2_0

README.md

@@ -1,7 +1,7 @@
 ---
-pretty_name: Evaluation run of LeroyDyer/Mixtral_AI_128k_bioMedical
+pretty_name: Evaluation run of LeroyDyer/Mixtral_AI_Cyber_SmartBrain_2_0
 dataset_summary: "Dataset automatically created during the evaluation run of model\
-  \ [LeroyDyer/Mixtral_AI_128k_bioMedical](https://huggingface.co/LeroyDyer/Mixtral_AI_128k_bioMedical)\
+  \ [LeroyDyer/Mixtral_AI_Cyber_SmartBrain_2_0](https://huggingface.co/LeroyDyer/Mixtral_AI_Cyber_SmartBrain_2_0)\
   \ on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\
   \nThe dataset is composed of 63 configuration, each one coresponding to one of the\
   \ evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can be\
@@ -11,9 +11,9 @@ dataset_summary: "Dataset automatically created during the evaluation run of mod
   \ run (and is used to compute and display the aggregated metrics on the [Open LLM\
   \ Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).\n\
   \nTo load the details from a run, you can for instance do the following:\n```python\n\
-  from datasets import load_dataset\ndata = load_dataset(\"open-llm-leaderboard/details_LeroyDyer__Mixtral_AI_128k_bioMedical\"\
+  from datasets import load_dataset\ndata = load_dataset(\"open-llm-leaderboard/details_LeroyDyer__Mixtral_AI_Cyber_SmartBrain_2_0\"\
   ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\
-  These are the [latest results from run 2024-03-21T23:56:56.487650](https://huggingface.co/datasets/open-llm-leaderboard/details_LeroyDyer__Mixtral_AI_128k_bioMedical/blob/main/results_2024-03-21T23-56-56.487650.json)(note\
+  These are the [latest results from run 2024-03-21T23:56:56.487650](https://huggingface.co/datasets/open-llm-leaderboard/details_LeroyDyer__Mixtral_AI_Cyber_SmartBrain_2_0/blob/main/results_2024-03-21T23-56-56.487650.json)(note\
   \ that their might be results for other tasks in the repos if successive evals didn't\
   \ cover the same tasks. You find each in the results and the \"latest\" split for\
   \ each eval):\n\n```python\n{\n    \"all\": {\n        \"acc\": 0.6367474076439339,\n\
@@ -181,7 +181,7 @@ dataset_summary: "Dataset automatically created during the evaluation run of mod
   : {\n        \"acc\": 0.7955801104972375,\n        \"acc_stderr\": 0.011334090612597198\n\
   \    },\n    \"harness|gsm8k|5\": {\n        \"acc\": 0.4806671721000758,\n    \
   \    \"acc_stderr\": 0.013762185709851353\n    }\n}\n```"
-repo_url: https://huggingface.co/LeroyDyer/Mixtral_AI_128k_bioMedical
+repo_url: https://huggingface.co/LeroyDyer/Mixtral_AI_Cyber_SmartBrain_2_0
 leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
 point_of_contact: [email protected]
 configs:
@@ -811,11 +811,11 @@ configs:
     - results_2024-03-21T23-56-56.487650.parquet
 ---
 
-# Dataset Card for Evaluation run of LeroyDyer/Mixtral_AI_128k_bioMedical
+# Dataset Card for Evaluation run of LeroyDyer/Mixtral_AI_Cyber_SmartBrain_2_0
 
 <!-- Provide a quick summary of the dataset. -->
 
-Dataset automatically created during the evaluation run of model [LeroyDyer/Mixtral_AI_128k_bioMedical](https://huggingface.co/LeroyDyer/Mixtral_AI_128k_bioMedical) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).
+Dataset automatically created during the evaluation run of model [LeroyDyer/Mixtral_AI_Cyber_SmartBrain_2_0](https://huggingface.co/LeroyDyer/Mixtral_AI_Cyber_SmartBrain_2_0) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).
 
 The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
 
@@ -826,14 +826,14 @@ An additional configuration "results" store all the aggregated results of the ru
 To load the details from a run, you can for instance do the following:
 ```python
 from datasets import load_dataset
-data = load_dataset("open-llm-leaderboard/details_LeroyDyer__Mixtral_AI_128k_bioMedical",
+data = load_dataset("open-llm-leaderboard/details_LeroyDyer__Mixtral_AI_Cyber_SmartBrain_2_0",
 	"harness_winogrande_5",
 	split="train")
 ```
 
 ## Latest results
 
-These are the [latest results from run 2024-03-21T23:56:56.487650](https://huggingface.co/datasets/open-llm-leaderboard/details_LeroyDyer__Mixtral_AI_128k_bioMedical/blob/main/results_2024-03-21T23-56-56.487650.json)(note that their might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the "latest" split for each eval):
+These are the [latest results from run 2024-03-21T23:56:56.487650](https://huggingface.co/datasets/open-llm-leaderboard/details_LeroyDyer__Mixtral_AI_Cyber_SmartBrain_2_0/blob/main/results_2024-03-21T23-56-56.487650.json)(note that their might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the "latest" split for each eval):
 
 ```python
 {

results_2024-03-21T23-56-56.487650.json

@@ -9,7 +9,7 @@
     "start_time": 1496697.34820928,
     "end_time": 1500305.805514996,
     "total_evaluation_time_secondes": "3608.457305715885",
-    "model_name": "LeroyDyer/Mixtral_AI_128k_bioMedical",
+    "model_name": "LeroyDyer/Mixtral_AI_Cyber_SmartBrain_2_0",
     "model_sha": "24d2766780b4460654703eb2978c03d575ac289e",
     "model_dtype": "torch.float16",
     "model_size": "13.99 GB"