Renaming Model gg-hf/gemma-7b to google/gemma-7b

#1
by SaylorTwift HF staff - opened
README.md CHANGED
@@ -1,7 +1,7 @@
1
  ---
2
- pretty_name: Evaluation run of gg-hf/gemma-7b
3
  dataset_summary: "Dataset automatically created during the evaluation run of model\
4
- \ [gg-hf/gemma-7b](https://huggingface.co/gg-hf/gemma-7b) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\
5
  \nThe dataset is composed of 63 configuration, each one coresponding to one of the\
6
  \ evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can be\
7
  \ found as a specific split in each configuration, the split being named using the\
@@ -10,9 +10,9 @@ dataset_summary: "Dataset automatically created during the evaluation run of mod
10
  \ run (and is used to compute and display the aggregated metrics on the [Open LLM\
11
  \ Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).\n\
12
  \nTo load the details from a run, you can for instance do the following:\n```python\n\
13
- from datasets import load_dataset\ndata = load_dataset(\"open-llm-leaderboard/details_gg-hf__gemma-7b_private\"\
14
  ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\
15
- These are the [latest results from run 2024-02-16T08:54:11.990054](https://huggingface.co/datasets/open-llm-leaderboard/details_gg-hf__gemma-7b_private/blob/main/results_2024-02-16T08-54-11.990054.json)(note\
16
  \ that their might be results for other tasks in the repos if successive evals didn't\
17
  \ cover the same tasks. You find each in the results and the \"latest\" split for\
18
  \ each eval):\n\n```python\n{\n \"all\": {\n \"acc\": 0.6439877670030717,\n\
@@ -180,7 +180,7 @@ dataset_summary: "Dataset automatically created during the evaluation run of mod
180
  : {\n \"acc\": 0.7900552486187845,\n \"acc_stderr\": 0.011446280629262628\n\
181
  \ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.5087187263078089,\n \
182
  \ \"acc_stderr\": 0.013770390697002123\n }\n}\n```"
183
- repo_url: https://huggingface.co/gg-hf/gemma-7b
184
  leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
185
  point_of_contact: clementine@hf.co
186
  configs:
@@ -810,11 +810,11 @@ configs:
810
  - results_2024-02-16T08-54-11.990054.parquet
811
  ---
812
 
813
- # Dataset Card for Evaluation run of gg-hf/gemma-7b
814
 
815
  <!-- Provide a quick summary of the dataset. -->
816
 
817
- Dataset automatically created during the evaluation run of model [gg-hf/gemma-7b](https://huggingface.co/gg-hf/gemma-7b) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).
818
 
819
  The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
820
 
@@ -825,14 +825,14 @@ An additional configuration "results" store all the aggregated results of the ru
825
  To load the details from a run, you can for instance do the following:
826
  ```python
827
  from datasets import load_dataset
828
- data = load_dataset("open-llm-leaderboard/details_gg-hf__gemma-7b_private",
829
  "harness_winogrande_5",
830
  split="train")
831
  ```
832
 
833
  ## Latest results
834
 
835
- These are the [latest results from run 2024-02-16T08:54:11.990054](https://huggingface.co/datasets/open-llm-leaderboard/details_gg-hf__gemma-7b_private/blob/main/results_2024-02-16T08-54-11.990054.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):
836
 
837
  ```python
838
  {
 
1
  ---
2
+ pretty_name: Evaluation run of google/gemma-7b
3
  dataset_summary: "Dataset automatically created during the evaluation run of model\
4
+ \ [google/gemma-7b](https://huggingface.co/google/gemma-7b) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\
5
  \nThe dataset is composed of 63 configuration, each one coresponding to one of the\
6
  \ evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can be\
7
  \ found as a specific split in each configuration, the split being named using the\
 
10
  \ run (and is used to compute and display the aggregated metrics on the [Open LLM\
11
  \ Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).\n\
12
  \nTo load the details from a run, you can for instance do the following:\n```python\n\
13
+ from datasets import load_dataset\ndata = load_dataset(\"open-llm-leaderboard/details_google__gemma-7b_private\"\
14
  ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\
15
+ These are the [latest results from run 2024-02-16T08:54:11.990054](https://huggingface.co/datasets/open-llm-leaderboard/details_google__gemma-7b_private/blob/main/results_2024-02-16T08-54-11.990054.json)(note\
16
  \ that their might be results for other tasks in the repos if successive evals didn't\
17
  \ cover the same tasks. You find each in the results and the \"latest\" split for\
18
  \ each eval):\n\n```python\n{\n \"all\": {\n \"acc\": 0.6439877670030717,\n\
 
180
  : {\n \"acc\": 0.7900552486187845,\n \"acc_stderr\": 0.011446280629262628\n\
181
  \ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.5087187263078089,\n \
182
  \ \"acc_stderr\": 0.013770390697002123\n }\n}\n```"
183
+ repo_url: https://huggingface.co/google/gemma-7b
184
  leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
185
  point_of_contact: clementine@hf.co
186
  configs:
 
810
  - results_2024-02-16T08-54-11.990054.parquet
811
  ---
812
 
813
+ # Dataset Card for Evaluation run of google/gemma-7b
814
 
815
  <!-- Provide a quick summary of the dataset. -->
816
 
817
+ Dataset automatically created during the evaluation run of model [google/gemma-7b](https://huggingface.co/google/gemma-7b) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).
818
 
819
  The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
820
 
 
825
  To load the details from a run, you can for instance do the following:
826
  ```python
827
  from datasets import load_dataset
828
+ data = load_dataset("open-llm-leaderboard/details_google__gemma-7b_private",
829
  "harness_winogrande_5",
830
  split="train")
831
  ```
832
 
833
  ## Latest results
834
 
835
+ These are the [latest results from run 2024-02-16T08:54:11.990054](https://huggingface.co/datasets/open-llm-leaderboard/details_google__gemma-7b_private/blob/main/results_2024-02-16T08-54-11.990054.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):
836
 
837
  ```python
838
  {
results_2024-02-16T08-54-11.990054.json CHANGED
@@ -9,7 +9,7 @@
9
  "start_time": 5071971.684780109,
10
  "end_time": 5076100.098433536,
11
  "total_evaluation_time_secondes": "4128.413653426804",
12
- "model_name": "gg-hf/gemma-7b",
13
  "model_sha": "1685d3c30e63630be55aa9a8730531732b3bd93c",
14
  "model_dtype": "torch.bfloat16",
15
  "model_size": "16.4 GB"
 
9
  "start_time": 5071971.684780109,
10
  "end_time": 5076100.098433536,
11
  "total_evaluation_time_secondes": "4128.413653426804",
12
+ "model_name": "google/gemma-7b",
13
  "model_sha": "1685d3c30e63630be55aa9a8730531732b3bd93c",
14
  "model_dtype": "torch.bfloat16",
15
  "model_size": "16.4 GB"