The dataset viewer is not available for this subset.
Exception: HfHubHTTPError
Message: 504 Server Error: Gateway Time-out for url: https://huggingface.co/api/datasets/JalilH/fine_tuned_gemma_ml_results/tree/09c8aaf49ff9079b3a679c8e1002210f4be54e55?recursive=True&expand=False
<html>
<head><title>504 Gateway Time-out</title></head>
<body>
<center><h1>504 Gateway Time-out</h1></center>
</body>
</html>
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/split_names.py", line 65, in compute_split_names_from_streaming_response
for split in get_dataset_split_names(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 352, in get_dataset_split_names
info = get_dataset_config_info(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 277, in get_dataset_config_info
builder = load_dataset_builder(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1853, in load_dataset_builder
dataset_module = dataset_module_factory(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1729, in dataset_module_factory
raise e1 from None
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1686, in dataset_module_factory
return HubDatasetModuleFactoryWithoutScript(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1065, in get_module
data_files = DataFilesDict.from_patterns(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/data_files.py", line 721, in from_patterns
else DataFilesList.from_patterns(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/data_files.py", line 624, in from_patterns
resolve_pattern(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/data_files.py", line 388, in resolve_pattern
for filepath, info in fs.glob(pattern, detail=True, **glob_kwargs).items()
File "/src/services/worker/.venv/lib/python3.9/site-packages/huggingface_hub/hf_file_system.py", line 409, in glob
return super().glob(path, **kwargs)
File "/src/services/worker/.venv/lib/python3.9/site-packages/fsspec/spec.py", line 604, in glob
allpaths = self.find(root, maxdepth=depth, withdirs=True, detail=True, **kwargs)
File "/src/services/worker/.venv/lib/python3.9/site-packages/huggingface_hub/hf_file_system.py", line 429, in find
out = self._ls_tree(path, recursive=True, refresh=refresh, revision=resolved_path.revision, **kwargs)
File "/src/services/worker/.venv/lib/python3.9/site-packages/huggingface_hub/hf_file_system.py", line 375, in _ls_tree
for path_info in tree:
File "/src/services/worker/.venv/lib/python3.9/site-packages/huggingface_hub/hf_api.py", line 3006, in list_repo_tree
for path_info in paginate(path=tree_url, headers=headers, params={"recursive": recursive, "expand": expand}):
File "/src/services/worker/.venv/lib/python3.9/site-packages/huggingface_hub/utils/_pagination.py", line 37, in paginate
hf_raise_for_status(r)
File "/src/services/worker/.venv/lib/python3.9/site-packages/huggingface_hub/utils/_http.py", line 477, in hf_raise_for_status
raise _format(HfHubHTTPError, str(e), response) from e
huggingface_hub.errors.HfHubHTTPError: 504 Server Error: Gateway Time-out for url: https://huggingface.co/api/datasets/JalilH/fine_tuned_gemma_ml_results/tree/09c8aaf49ff9079b3a679c8e1002210f4be54e55?recursive=True&expand=False
<html>
<head><title>504 Gateway Time-out</title></head>
<body>
<center><h1>504 Gateway Time-out</h1></center>
</body>
</html>Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
Dataset Card for Evaluation run of JalilH/fine_tuned_gemma
Dataset automatically created during the evaluation run of model JalilH/fine_tuned_gemma The dataset is composed of 0 configuration(s), each one corresponding to one of the evaluated task.
The dataset has been created from 2 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results.
An additional configuration "results" store all the aggregated results of the run.
To load the details from a run, you can for instance do the following:
from datasets import load_dataset
data = load_dataset(
"JalilH/fine_tuned_gemma_ml_results",
name="JalilH__fine_tuned_gemma__arc_ml",
split="latest"
)
Latest results
These are the latest results from run 2025-02-03T08-03-40.337507 (note that there 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):
{
"all": {
"arc_ml": {
"alias": "arc_ml",
"acc,none": 0.20928196147110334,
"acc_stderr,none": 0.012042978180886241,
"acc_norm,none": 0.28021015761821366,
"acc_norm_stderr,none": 0.013295417264341438
}
},
"arc_ml": {
"alias": "arc_ml",
"acc,none": 0.20928196147110334,
"acc_stderr,none": 0.012042978180886241,
"acc_norm,none": 0.28021015761821366,
"acc_norm_stderr,none": 0.013295417264341438
}
}
Dataset Details
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