INFO:mteb.cli:Running with parameters: Namespace(model='sentence-transformers/all-MiniLM-L12-v2', task_types=None, categories=None, tasks=['SIB200Classification'], languages=None, device=None, output_folder='/data/niklas/results', verbosity=2, co2_tracker=True, eval_splits=None, model_revision=None, overwrite=False, func=<function run at 0x7f71eac93010>)
INFO:mteb.models:Model not found in model registry, assuming it is a sentence-transformers model.
INFO:mteb.models:Attempting to extract metadata by loading the model (sentence-transformers/all-MiniLM-L12-v2) using sentence-transformers.
/env/lib/conda/gritkto/lib/python3.10/site-packages/huggingface_hub/file_download.py:1132: FutureWarning: resume_download is deprecated and will be removed in version 1.0.0. Downloads always resume when possible. If you want to force a new download, use force_download=True.
warnings.warn(
INFO:mteb.evaluation.MTEB:
** Evaluating SIB200Classification **
INFO:mteb.evaluation.MTEB:Loading dataset for SIB200Classification
ERROR:mteb.evaluation.MTEB:Error while evaluating SIB200Classification: 429 Client Error: Too Many Requests for url: https://huggingface.co/api/datasets/mteb/sib200/paths-info/a74d7350ea12af010cfb1c21e34f1f81fd2e615b
Traceback (most recent call last):
File "/env/lib/conda/gritkto/lib/python3.10/site-packages/huggingface_hub/utils/_errors.py", line 304, in hf_raise_for_status
response.raise_for_status()
File "/env/lib/conda/gritkto/lib/python3.10/site-packages/requests/models.py", line 1024, in raise_for_status
raise HTTPError(http_error_msg, response=self)
requests.exceptions.HTTPError: 429 Client Error: Too Many Requests for url: https://huggingface.co/api/datasets/mteb/sib200/paths-info/a74d7350ea12af010cfb1c21e34f1f81fd2e615b
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/env/lib/conda/gritkto/bin/mteb", line 8, in
sys.exit(main())
File "/data/niklas/mteb/mteb/cli.py", line 370, in main
args.func(args)
File "/data/niklas/mteb/mteb/cli.py", line 118, in run
eval.run(
File "/data/niklas/mteb/mteb/evaluation/MTEB.py", line 388, in run
raise e
File "/data/niklas/mteb/mteb/evaluation/MTEB.py", line 328, in run
task.load_data(eval_splits=task_eval_splits, kwargs)
File "/data/niklas/mteb/mteb/abstasks/MultiSubsetLoader.py", line 16, in load_data
self.slow_load()
File "/data/niklas/mteb/mteb/abstasks/MultiSubsetLoader.py", line 45, in slow_load
self.dataset[lang] = datasets.load_dataset(
File "/env/lib/conda/gritkto/lib/python3.10/site-packages/datasets/load.py", line 2592, in load_dataset
builder_instance = load_dataset_builder(
File "/env/lib/conda/gritkto/lib/python3.10/site-packages/datasets/load.py", line 2301, in load_dataset_builder
builder_instance: DatasetBuilder = builder_cls(
File "/env/lib/conda/gritkto/lib/python3.10/site-packages/datasets/builder.py", line 374, in init
self.config, self.config_id = self._create_builder_config(
File "/env/lib/conda/gritkto/lib/python3.10/site-packages/datasets/builder.py", line 627, in _create_builder_config
builder_config._resolve_data_files(
File "/env/lib/conda/gritkto/lib/python3.10/site-packages/datasets/builder.py", line 213, in _resolve_data_files
self.data_files = self.data_files.resolve(base_path, download_config)
File "/env/lib/conda/gritkto/lib/python3.10/site-packages/datasets/data_files.py", line 814, in resolve
out[key] = data_files_patterns_list.resolve(base_path, download_config)
File "/env/lib/conda/gritkto/lib/python3.10/site-packages/datasets/data_files.py", line 767, in resolve
resolve_pattern(
File "/env/lib/conda/gritkto/lib/python3.10/site-packages/datasets/data_files.py", line 384, in resolve_pattern
for filepath, info in fs.glob(pattern, detail=True, glob_kwargs).items()
File "/env/lib/conda/gritkto/lib/python3.10/site-packages/huggingface_hub/hf_file_system.py", line 407, in glob
return super().glob(path, *kwargs)
File "/env/lib/conda/gritkto/lib/python3.10/site-packages/fsspec/spec.py", line 580, in glob
return {path: self.info(path)}
File "/env/lib/conda/gritkto/lib/python3.10/site-packages/huggingface_hub/hf_file_system.py", line 527, in info
paths_info = self._api.get_paths_info(
File "/env/lib/conda/gritkto/lib/python3.10/site-packages/huggingface_hub/utils/_validators.py", line 114, in _inner_fn
return fn(args, **kwargs)
File "/env/lib/conda/gritkto/lib/python3.10/site-packages/huggingface_hub/hf_api.py", line 3045, in get_paths_info
hf_raise_for_status(response)
File "/env/lib/conda/gritkto/lib/python3.10/site-packages/huggingface_hub/utils/_errors.py", line 371, in hf_raise_for_status
raise HfHubHTTPError(str(e), response=response) from e
huggingface_hub.utils._errors.HfHubHTTPError: 429 Client Error: Too Many Requests for url: https://huggingface.co/api/datasets/mteb/sib200/paths-info/a74d7350ea12af010cfb1c21e34f1f81fd2e615b
INFO:mteb.cli:Running with parameters: Namespace(model='sentence-transformers/all-MiniLM-L12-v2', task_types=None, categories=None, tasks=['SIB200Classification'], languages=None, device=None, output_folder='/data/niklas/results', verbosity=2, co2_tracker=True, eval_splits=None, model_revision=None, overwrite=False, func=<function run at 0x7f71eac93010>) INFO:mteb.models:Model not found in model registry, assuming it is a sentence-transformers model. INFO:mteb.models:Attempting to extract metadata by loading the model (sentence-transformers/all-MiniLM-L12-v2) using sentence-transformers. /env/lib/conda/gritkto/lib/python3.10/site-packages/huggingface_hub/file_download.py:1132: FutureWarning:
resume_download
is deprecated and will be removed in version 1.0.0. Downloads always resume when possible. If you want to force a new download, useforce_download=True
. warnings.warn( INFO:mteb.evaluation.MTEB:Evaluating 1 tasks:
─────────────────────────────── Selected tasks ──────────────────────────────── Classification
INFO:mteb.evaluation.MTEB:
** Evaluating SIB200Classification ** INFO:mteb.evaluation.MTEB:Loading dataset for SIB200Classification ERROR:mteb.evaluation.MTEB:Error while evaluating SIB200Classification: 429 Client Error: Too Many Requests for url: https://huggingface.co/api/datasets/mteb/sib200/paths-info/a74d7350ea12af010cfb1c21e34f1f81fd2e615b Traceback (most recent call last): File "/env/lib/conda/gritkto/lib/python3.10/site-packages/huggingface_hub/utils/_errors.py", line 304, in hf_raise_for_status response.raise_for_status() File "/env/lib/conda/gritkto/lib/python3.10/site-packages/requests/models.py", line 1024, in raise_for_status raise HTTPError(http_error_msg, response=self) requests.exceptions.HTTPError: 429 Client Error: Too Many Requests for url: https://huggingface.co/api/datasets/mteb/sib200/paths-info/a74d7350ea12af010cfb1c21e34f1f81fd2e615b
The above exception was the direct cause of the following exception:
Traceback (most recent call last): File "/env/lib/conda/gritkto/bin/mteb", line 8, in
sys.exit(main())
File "/data/niklas/mteb/mteb/cli.py", line 370, in main
args.func(args)
File "/data/niklas/mteb/mteb/cli.py", line 118, in run
eval.run(
File "/data/niklas/mteb/mteb/evaluation/MTEB.py", line 388, in run
raise e
File "/data/niklas/mteb/mteb/evaluation/MTEB.py", line 328, in run
task.load_data(eval_splits=task_eval_splits, kwargs)
File "/data/niklas/mteb/mteb/abstasks/MultiSubsetLoader.py", line 16, in load_data
self.slow_load()
File "/data/niklas/mteb/mteb/abstasks/MultiSubsetLoader.py", line 45, in slow_load
self.dataset[lang] = datasets.load_dataset(
File "/env/lib/conda/gritkto/lib/python3.10/site-packages/datasets/load.py", line 2592, in load_dataset
builder_instance = load_dataset_builder(
File "/env/lib/conda/gritkto/lib/python3.10/site-packages/datasets/load.py", line 2301, in load_dataset_builder
builder_instance: DatasetBuilder = builder_cls(
File "/env/lib/conda/gritkto/lib/python3.10/site-packages/datasets/builder.py", line 374, in init
self.config, self.config_id = self._create_builder_config(
File "/env/lib/conda/gritkto/lib/python3.10/site-packages/datasets/builder.py", line 627, in _create_builder_config
builder_config._resolve_data_files(
File "/env/lib/conda/gritkto/lib/python3.10/site-packages/datasets/builder.py", line 213, in _resolve_data_files
self.data_files = self.data_files.resolve(base_path, download_config)
File "/env/lib/conda/gritkto/lib/python3.10/site-packages/datasets/data_files.py", line 814, in resolve
out[key] = data_files_patterns_list.resolve(base_path, download_config)
File "/env/lib/conda/gritkto/lib/python3.10/site-packages/datasets/data_files.py", line 767, in resolve
resolve_pattern(
File "/env/lib/conda/gritkto/lib/python3.10/site-packages/datasets/data_files.py", line 384, in resolve_pattern
for filepath, info in fs.glob(pattern, detail=True, glob_kwargs).items()
File "/env/lib/conda/gritkto/lib/python3.10/site-packages/huggingface_hub/hf_file_system.py", line 407, in glob
return super().glob(path, *kwargs)
File "/env/lib/conda/gritkto/lib/python3.10/site-packages/fsspec/spec.py", line 580, in glob
return {path: self.info(path)}
File "/env/lib/conda/gritkto/lib/python3.10/site-packages/huggingface_hub/hf_file_system.py", line 527, in info
paths_info = self._api.get_paths_info(
File "/env/lib/conda/gritkto/lib/python3.10/site-packages/huggingface_hub/utils/_validators.py", line 114, in _inner_fn
return fn(args, **kwargs)
File "/env/lib/conda/gritkto/lib/python3.10/site-packages/huggingface_hub/hf_api.py", line 3045, in get_paths_info
hf_raise_for_status(response)
File "/env/lib/conda/gritkto/lib/python3.10/site-packages/huggingface_hub/utils/_errors.py", line 371, in hf_raise_for_status
raise HfHubHTTPError(str(e), response=response) from e
huggingface_hub.utils._errors.HfHubHTTPError: 429 Client Error: Too Many Requests for url: https://huggingface.co/api/datasets/mteb/sib200/paths-info/a74d7350ea12af010cfb1c21e34f1f81fd2e615b