Renaming Model TFLai/OpenOrca-Platypus2-13B-QLoRA-0.80-epoch to PulsarAI/OpenOrca-Platypus2-13B-QLoRA-0.80-epoch

#9
by Weyaxi - opened
README.md CHANGED
@@ -1,7 +1,7 @@
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  ---
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- pretty_name: Evaluation run of TFLai/OpenOrca-Platypus2-13B-QLoRA-0.80-epoch
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  dataset_summary: "Dataset automatically created during the evaluation run of model\
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- \ [TFLai/OpenOrca-Platypus2-13B-QLoRA-0.80-epoch](https://huggingface.co/TFLai/OpenOrca-Platypus2-13B-QLoRA-0.80-epoch)\
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  \ on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\
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  \nThe dataset is composed of 61 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 agregated 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_TFLai__OpenOrca-Platypus2-13B-QLoRA-0.80-epoch\"\
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  ,\n\t\"harness_truthfulqa_mc_0\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\
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- \nThese are the [latest results from run 2023-08-28T22:50:32.447793](https://huggingface.co/datasets/open-llm-leaderboard/details_TFLai__OpenOrca-Platypus2-13B-QLoRA-0.80-epoch/blob/main/results_2023-08-28T22%3A50%3A32.447793.json):\n\
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  \n```python\n{\n \"all\": {\n \"acc\": 0.5944559513864108,\n \"\
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  acc_stderr\": 0.033969711872475335,\n \"acc_norm\": 0.5982758135590844,\n\
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  \ \"acc_norm_stderr\": 0.03394862862431821,\n \"mc1\": 0.36964504283965727,\n\
@@ -176,7 +176,7 @@ dataset_summary: "Dataset automatically created during the evaluation run of mod
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  \ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.36964504283965727,\n\
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  \ \"mc1_stderr\": 0.016898180706973888,\n \"mc2\": 0.5220378272071609,\n\
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  \ \"mc2_stderr\": 0.015680700152502516\n }\n}\n```"
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- repo_url: https://huggingface.co/TFLai/OpenOrca-Platypus2-13B-QLoRA-0.80-epoch
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  leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
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  point_of_contact: clementine@hf.co
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  configs:
@@ -790,19 +790,19 @@ configs:
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  - results_2023-08-28T22:50:32.447793.parquet
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  ---
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- # Dataset Card for Evaluation run of TFLai/OpenOrca-Platypus2-13B-QLoRA-0.80-epoch
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  ## Dataset Description
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  - **Homepage:**
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- - **Repository:** https://huggingface.co/TFLai/OpenOrca-Platypus2-13B-QLoRA-0.80-epoch
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  - **Paper:**
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  - **Leaderboard:** https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
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  - **Point of Contact:** clementine@hf.co
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  ### Dataset Summary
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- Dataset automatically created during the evaluation run of model [TFLai/OpenOrca-Platypus2-13B-QLoRA-0.80-epoch](https://huggingface.co/TFLai/OpenOrca-Platypus2-13B-QLoRA-0.80-epoch) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).
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  The dataset is composed of 61 configuration, each one coresponding to one of the evaluated task.
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@@ -813,14 +813,14 @@ An additional configuration "results" store all the aggregated results of the ru
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  To load the details from a run, you can for instance do the following:
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  ```python
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  from datasets import load_dataset
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- data = load_dataset("open-llm-leaderboard/details_TFLai__OpenOrca-Platypus2-13B-QLoRA-0.80-epoch",
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  "harness_truthfulqa_mc_0",
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  split="train")
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  ```
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  ## Latest results
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- These are the [latest results from run 2023-08-28T22:50:32.447793](https://huggingface.co/datasets/open-llm-leaderboard/details_TFLai__OpenOrca-Platypus2-13B-QLoRA-0.80-epoch/blob/main/results_2023-08-28T22%3A50%3A32.447793.json):
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  ```python
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  {
 
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  ---
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+ pretty_name: Evaluation run of PulsarAI/OpenOrca-Platypus2-13B-QLoRA-0.80-epoch
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  dataset_summary: "Dataset automatically created during the evaluation run of model\
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+ \ [PulsarAI/OpenOrca-Platypus2-13B-QLoRA-0.80-epoch](https://huggingface.co/PulsarAI/OpenOrca-Platypus2-13B-QLoRA-0.80-epoch)\
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  \ on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\
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  \nThe dataset is composed of 61 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\
 
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  \ run (and is used to compute and display the agregated 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__OpenOrca-Platypus2-13B-QLoRA-0.80-epoch\"\
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  ,\n\t\"harness_truthfulqa_mc_0\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\
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+ \nThese are the [latest results from run 2023-08-28T22:50:32.447793](https://huggingface.co/datasets/open-llm-leaderboard/details_PulsarAI__OpenOrca-Platypus2-13B-QLoRA-0.80-epoch/blob/main/results_2023-08-28T22%3A50%3A32.447793.json):\n\
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  \n```python\n{\n \"all\": {\n \"acc\": 0.5944559513864108,\n \"\
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  acc_stderr\": 0.033969711872475335,\n \"acc_norm\": 0.5982758135590844,\n\
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  \ \"acc_norm_stderr\": 0.03394862862431821,\n \"mc1\": 0.36964504283965727,\n\
 
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  \ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.36964504283965727,\n\
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  \ \"mc1_stderr\": 0.016898180706973888,\n \"mc2\": 0.5220378272071609,\n\
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  \ \"mc2_stderr\": 0.015680700152502516\n }\n}\n```"
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+ repo_url: https://huggingface.co/PulsarAI/OpenOrca-Platypus2-13B-QLoRA-0.80-epoch
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  leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
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  point_of_contact: clementine@hf.co
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  configs:
 
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  - results_2023-08-28T22:50:32.447793.parquet
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  ---
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+ # Dataset Card for Evaluation run of PulsarAI/OpenOrca-Platypus2-13B-QLoRA-0.80-epoch
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  ## Dataset Description
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  - **Homepage:**
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+ - **Repository:** https://huggingface.co/PulsarAI/OpenOrca-Platypus2-13B-QLoRA-0.80-epoch
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  - **Paper:**
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  - **Leaderboard:** https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
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  - **Point of Contact:** clementine@hf.co
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  ### Dataset Summary
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+ Dataset automatically created during the evaluation run of model [PulsarAI/OpenOrca-Platypus2-13B-QLoRA-0.80-epoch](https://huggingface.co/PulsarAI/OpenOrca-Platypus2-13B-QLoRA-0.80-epoch) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).
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  The dataset is composed of 61 configuration, each one coresponding to one of the evaluated task.
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  To load the details from a run, you can for instance do the following:
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  ```python
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  from datasets import load_dataset
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+ data = load_dataset("open-llm-leaderboard/details_PulsarAI__OpenOrca-Platypus2-13B-QLoRA-0.80-epoch",
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  "harness_truthfulqa_mc_0",
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  split="train")
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  ```
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  ## Latest results
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+ These are the [latest results from run 2023-08-28T22:50:32.447793](https://huggingface.co/datasets/open-llm-leaderboard/details_PulsarAI__OpenOrca-Platypus2-13B-QLoRA-0.80-epoch/blob/main/results_2023-08-28T22%3A50%3A32.447793.json):
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  ```python
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  {
results_2023-08-28T22:50:32.447793.json CHANGED
@@ -1,6 +1,6 @@
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  {
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  "config_general": {
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- "model_name": "TFLai/OpenOrca-Platypus2-13B-QLoRA-0.80-epoch",
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  "model_sha": "39ae03b77b4f1d453b02468ce6bb4ddeb6526b77",
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  "model_dtype": "torch.float16",
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  "lighteval_sha": "c8a907ca0dbabbcc3132b1b9d84d5c763d587820",
 
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  {
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  "config_general": {
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+ "model_name": "PulsarAI/OpenOrca-Platypus2-13B-QLoRA-0.80-epoch",
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  "model_sha": "39ae03b77b4f1d453b02468ce6bb4ddeb6526b77",
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  "model_dtype": "torch.float16",
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  "lighteval_sha": "c8a907ca0dbabbcc3132b1b9d84d5c763d587820",