Renaming Model PulsarAI/Einstein-v3-7B to Weyaxi/Einstein-v3-7B

#1
README.md CHANGED
@@ -1,7 +1,7 @@
1
  ---
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- pretty_name: Evaluation run of PulsarAI/Einstein-v3-7B
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  dataset_summary: "Dataset automatically created during the evaluation run of model\
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- \ [PulsarAI/Einstein-v3-7B](https://huggingface.co/PulsarAI/Einstein-v3-7B) on the\
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  \ [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\
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  \nThe dataset is composed of 63 configuration, each one coresponding to one of the\
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  \ 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
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  \ run (and is used to compute and display the aggregated metrics on the [Open LLM\
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  \ Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).\n\
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  \nTo load the details from a run, you can for instance do the following:\n```python\n\
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- from datasets import load_dataset\ndata = load_dataset(\"open-llm-leaderboard/details_PulsarAI__Einstein-v3-7B\"\
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  ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\
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- These are the [latest results from run 2024-02-09T14:20:50.060350](https://huggingface.co/datasets/open-llm-leaderboard/details_PulsarAI__Einstein-v3-7B/blob/main/results_2024-02-09T14-20-50.060350.json)(note\
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  \ that their might be results for other tasks in the repos if successive evals didn't\
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  \ cover the same tasks. You find each in the results and the \"latest\" split for\
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  \ each eval):\n\n```python\n{\n \"all\": {\n \"acc\": 0.6324191881027033,\n\
@@ -181,7 +181,7 @@ dataset_summary: "Dataset automatically created during the evaluation run of mod
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  : {\n \"acc\": 0.7995264404104183,\n \"acc_stderr\": 0.011251958281205083\n\
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  \ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.44806671721000757,\n \
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  \ \"acc_stderr\": 0.013697992668274523\n }\n}\n```"
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- repo_url: https://huggingface.co/PulsarAI/Einstein-v3-7B
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  leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
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  point_of_contact: [email protected]
187
  configs:
@@ -811,11 +811,11 @@ configs:
811
  - results_2024-02-09T14-20-50.060350.parquet
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  ---
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- # Dataset Card for Evaluation run of PulsarAI/Einstein-v3-7B
815
 
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  <!-- Provide a quick summary of the dataset. -->
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- Dataset automatically created during the evaluation run of model [PulsarAI/Einstein-v3-7B](https://huggingface.co/PulsarAI/Einstein-v3-7B) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).
819
 
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  The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
821
 
@@ -826,14 +826,14 @@ An additional configuration "results" store all the aggregated results of the ru
826
  To load the details from a run, you can for instance do the following:
827
  ```python
828
  from datasets import load_dataset
829
- data = load_dataset("open-llm-leaderboard/details_PulsarAI__Einstein-v3-7B",
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  "harness_winogrande_5",
831
  split="train")
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  ```
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834
  ## Latest results
835
 
836
- These are the [latest results from run 2024-02-09T14:20:50.060350](https://huggingface.co/datasets/open-llm-leaderboard/details_PulsarAI__Einstein-v3-7B/blob/main/results_2024-02-09T14-20-50.060350.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):
837
 
838
  ```python
839
  {
 
1
  ---
2
+ pretty_name: Evaluation run of Weyaxi/Einstein-v3-7B
3
  dataset_summary: "Dataset automatically created during the evaluation run of model\
4
+ \ [Weyaxi/Einstein-v3-7B](https://huggingface.co/Weyaxi/Einstein-v3-7B) on the\
5
  \ [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\
6
  \nThe dataset is composed of 63 configuration, each one coresponding to one of the\
7
  \ evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can be\
 
11
  \ run (and is used to compute and display the aggregated metrics on the [Open LLM\
12
  \ Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).\n\
13
  \nTo load the details from a run, you can for instance do the following:\n```python\n\
14
+ from datasets import load_dataset\ndata = load_dataset(\"open-llm-leaderboard/details_Weyaxi__Einstein-v3-7B\"\
15
  ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\
16
+ These are the [latest results from run 2024-02-09T14:20:50.060350](https://huggingface.co/datasets/open-llm-leaderboard/details_Weyaxi__Einstein-v3-7B/blob/main/results_2024-02-09T14-20-50.060350.json)(note\
17
  \ that their might be results for other tasks in the repos if successive evals didn't\
18
  \ cover the same tasks. You find each in the results and the \"latest\" split for\
19
  \ each eval):\n\n```python\n{\n \"all\": {\n \"acc\": 0.6324191881027033,\n\
 
181
  : {\n \"acc\": 0.7995264404104183,\n \"acc_stderr\": 0.011251958281205083\n\
182
  \ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.44806671721000757,\n \
183
  \ \"acc_stderr\": 0.013697992668274523\n }\n}\n```"
184
+ repo_url: https://huggingface.co/Weyaxi/Einstein-v3-7B
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  leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
186
  point_of_contact: [email protected]
187
  configs:
 
811
  - results_2024-02-09T14-20-50.060350.parquet
812
  ---
813
 
814
+ # Dataset Card for Evaluation run of Weyaxi/Einstein-v3-7B
815
 
816
  <!-- Provide a quick summary of the dataset. -->
817
 
818
+ Dataset automatically created during the evaluation run of model [Weyaxi/Einstein-v3-7B](https://huggingface.co/Weyaxi/Einstein-v3-7B) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).
819
 
820
  The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
821
 
 
826
  To load the details from a run, you can for instance do the following:
827
  ```python
828
  from datasets import load_dataset
829
+ data = load_dataset("open-llm-leaderboard/details_Weyaxi__Einstein-v3-7B",
830
  "harness_winogrande_5",
831
  split="train")
832
  ```
833
 
834
  ## Latest results
835
 
836
+ These are the [latest results from run 2024-02-09T14:20:50.060350](https://huggingface.co/datasets/open-llm-leaderboard/details_Weyaxi__Einstein-v3-7B/blob/main/results_2024-02-09T14-20-50.060350.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):
837
 
838
  ```python
839
  {
results_2024-02-09T14-20-50.060350.json CHANGED
@@ -9,7 +9,7 @@
9
  "start_time": 80679.665167389,
10
  "end_time": 84228.206206423,
11
  "total_evaluation_time_secondes": "3548.5410390339966",
12
- "model_name": "PulsarAI/Einstein-v3-7B",
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  "model_sha": "632d22a529a04a16f0297320ba221ef4091a797c",
14
  "model_dtype": "torch.bfloat16",
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  "model_size": "13.99 GB"
 
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  "start_time": 80679.665167389,
10
  "end_time": 84228.206206423,
11
  "total_evaluation_time_secondes": "3548.5410390339966",
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+ "model_name": "Weyaxi/Einstein-v3-7B",
13
  "model_sha": "632d22a529a04a16f0297320ba221ef4091a797c",
14
  "model_dtype": "torch.bfloat16",
15
  "model_size": "13.99 GB"