Upload variant-d eval logs (gen test + 5-shot MC + 5-shot GEN)

variant-d/eval_5shot_gen.log

@@ -1,17 +1,23 @@
 Loading model for 5-shot GEN eval...
-2026-02-23:09:17:17,047 WARNING  [huggingface.py:96] `pretrained` model kwarg is not of type `str`. Many other model arguments may be ignored. Please do not launch via accelerate or use `parallelize=True` if passing an existing model this way.
-W0223 09:17:17.047090 31003 huggingface.py:96] `pretrained` model kwarg is not of type `str`. Many other model arguments may be ignored. Please do not launch via accelerate or use `parallelize=True` if passing an existing model this way.
-2026-02-23:09:17:17,052 WARNING  [huggingface.py:276] Passed an already-initialized model through `pretrained`, assuming single-process call to evaluate() or custom distributed integration
-W0223 09:17:17.052284 31003 huggingface.py:276] Passed an already-initialized model through `pretrained`, assuming single-process call to evaluate() or custom distributed integration
+2026-02-23:09:24:44,330 WARNING  [huggingface.py:96] `pretrained` model kwarg is not of type `str`. Many other model arguments may be ignored. Please do not launch via accelerate or use `parallelize=True` if passing an existing model this way.
+W0223 09:24:44.330928 32496 huggingface.py:96] `pretrained` model kwarg is not of type `str`. Many other model arguments may be ignored. Please do not launch via accelerate or use `parallelize=True` if passing an existing model this way.
+2026-02-23:09:24:44,336 WARNING  [huggingface.py:276] Passed an already-initialized model through `pretrained`, assuming single-process call to evaluate() or custom distributed integration
+W0223 09:24:44.336212 32496 huggingface.py:276] Passed an already-initialized model through `pretrained`, assuming single-process call to evaluate() or custom distributed integration
+2026-02-23:09:24:44,369 INFO     [__init__.py:491] `group` and `group_alias` keys in TaskConfigs are deprecated and will be removed in v0.4.5 of lm_eval. The new `tag` field will be used to allow for a shortcut to a group of tasks one does not wish to aggregate metrics across. `group`s which aggregate across subtasks must be only defined in a separate group config file, which will be the official way to create groups that support cross-task aggregation as in `mmlu`. Please see the v0.4.4 patch notes and our documentation: https://github.com/EleutherAI/lm-evaluation-harness/blob/main/docs/new_task_guide.md#advanced-group-configs for more information.
+I0223 09:24:44.369267 32496 __init__.py:491] `group` and `group_alias` keys in TaskConfigs are deprecated and will be removed in v0.4.5 of lm_eval. The new `tag` field will be used to allow for a shortcut to a group of tasks one does not wish to aggregate metrics across. `group`s which aggregate across subtasks must be only defined in a separate group config file, which will be the official way to create groups that support cross-task aggregation as in `mmlu`. Please see the v0.4.4 patch notes and our documentation: https://github.com/EleutherAI/lm-evaluation-harness/blob/main/docs/new_task_guide.md#advanced-group-configs for more information.
+2026-02-23:09:24:48,809 INFO     [__init__.py:491] `group` and `group_alias` keys in TaskConfigs are deprecated and will be removed in v0.4.5 of lm_eval. The new `tag` field will be used to allow for a shortcut to a group of tasks one does not wish to aggregate metrics across. `group`s which aggregate across subtasks must be only defined in a separate group config file, which will be the official way to create groups that support cross-task aggregation as in `mmlu`. Please see the v0.4.4 patch notes and our documentation: https://github.com/EleutherAI/lm-evaluation-harness/blob/main/docs/new_task_guide.md#advanced-group-configs for more information.
+I0223 09:24:48.809722 32496 __init__.py:491] `group` and `group_alias` keys in TaskConfigs are deprecated and will be removed in v0.4.5 of lm_eval. The new `tag` field will be used to allow for a shortcut to a group of tasks one does not wish to aggregate metrics across. `group`s which aggregate across subtasks must be only defined in a separate group config file, which will be the official way to create groups that support cross-task aggregation as in `mmlu`. Please see the v0.4.4 patch notes and our documentation: https://github.com/EleutherAI/lm-evaluation-harness/blob/main/docs/new_task_guide.md#advanced-group-configs for more information.
 Running 5-shot GEN eval on 12 tasks...
-2026-02-23:09:17:17,053 INFO     [evaluator.py:161] Setting random seed to 0 | Setting numpy seed to 1234 | Setting torch manual seed to 1234
-I0223 09:17:17.053538 31003 evaluator.py:161] Setting random seed to 0 | Setting numpy seed to 1234 | Setting torch manual seed to 1234
-2026-02-23:09:17:17,053 INFO     [evaluator.py:214] Using pre-initialized model
-I0223 09:17:17.053598 31003 evaluator.py:214] Using pre-initialized model
-2026-02-23:09:17:17,086 INFO     [__init__.py:491] `group` and `group_alias` keys in TaskConfigs are deprecated and will be removed in v0.4.5 of lm_eval. The new `tag` field will be used to allow for a shortcut to a group of tasks one does not wish to aggregate metrics across. `group`s which aggregate across subtasks must be only defined in a separate group config file, which will be the official way to create groups that support cross-task aggregation as in `mmlu`. Please see the v0.4.4 patch notes and our documentation: https://github.com/EleutherAI/lm-evaluation-harness/blob/main/docs/new_task_guide.md#advanced-group-configs for more information.
-I0223 09:17:17.086985 31003 __init__.py:491] `group` and `group_alias` keys in TaskConfigs are deprecated and will be removed in v0.4.5 of lm_eval. The new `tag` field will be used to allow for a shortcut to a group of tasks one does not wish to aggregate metrics across. `group`s which aggregate across subtasks must be only defined in a separate group config file, which will be the official way to create groups that support cross-task aggregation as in `mmlu`. Please see the v0.4.4 patch notes and our documentation: https://github.com/EleutherAI/lm-evaluation-harness/blob/main/docs/new_task_guide.md#advanced-group-configs for more information.
+2026-02-23:09:24:52,382 INFO     [evaluator.py:161] Setting random seed to 0 | Setting numpy seed to 1234 | Setting torch manual seed to 1234
+I0223 09:24:52.382735 32496 evaluator.py:161] Setting random seed to 0 | Setting numpy seed to 1234 | Setting torch manual seed to 1234
+2026-02-23:09:24:52,382 INFO     [evaluator.py:214] Using pre-initialized model
+I0223 09:24:52.382833 32496 evaluator.py:214] Using pre-initialized model
+
+
+
+
 Traceback (most recent call last):
-  File "/workspace/eval_5shot_gen.py", line 44, in <module>
+  File "/workspace/eval_5shot_gen.py", line 51, in <module>
     results = evaluator.simple_evaluate(
               ^^^^^^^^^^^^^^^^^^^^^^^^^^
   File "/workspace/venv/lib/python3.12/site-packages/lm_eval/utils.py", line 397, in _wrapper
@@ -25,10 +31,29 @@ Traceback (most recent call last):
                                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
   File "/workspace/venv/lib/python3.12/site-packages/lm_eval/tasks/__init__.py", line 410, in load_task_or_group
     collections.ChainMap(*map(self._load_individual_task_or_group, task_list))
-  File "/workspace/venv/lib/python3.12/site-packages/lm_eval/tasks/__init__.py", line 312, in _load_individual_task_or_group
-    subtask_list = self._get_tasklist(name_or_config)
-                   ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/workspace/venv/lib/python3.12/site-packages/lm_eval/tasks/__init__.py", line 232, in _get_tasklist
-    return self.task_index[name]["task"]
-           ~~~~~~~~~~~~~~~^^^^^^
-KeyError: 'polemo2_in_generative'
+  File "/workspace/venv/lib/python3.12/site-packages/lm_eval/tasks/__init__.py", line 310, in _load_individual_task_or_group
+    return _load_task(task_config, task=name_or_config)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/workspace/venv/lib/python3.12/site-packages/lm_eval/tasks/__init__.py", line 276, in _load_task
+    task_object = ConfigurableTask(config=config)
+                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/workspace/venv/lib/python3.12/site-packages/lm_eval/api/task.py", line 822, in __init__
+    self.download(self.config.dataset_kwargs)
+  File "/workspace/venv/lib/python3.12/site-packages/lm_eval/api/task.py", line 929, in download
+    self.dataset = datasets.load_dataset(
+                   ^^^^^^^^^^^^^^^^^^^^^^
+  File "/workspace/venv/lib/python3.12/site-packages/datasets/load.py", line 2594, in load_dataset
+    builder_instance = load_dataset_builder(
+                       ^^^^^^^^^^^^^^^^^^^^^
+  File "/workspace/venv/lib/python3.12/site-packages/datasets/load.py", line 2303, in load_dataset_builder
+    builder_instance: DatasetBuilder = builder_cls(
+                                       ^^^^^^^^^^^^
+  File "/workspace/venv/lib/python3.12/site-packages/datasets/builder.py", line 374, in __init__
+    self.config, self.config_id = self._create_builder_config(
+                                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/workspace/venv/lib/python3.12/site-packages/datasets/builder.py", line 586, in _create_builder_config
+    raise ValueError(
+ValueError: Config name is missing.
+Please pick one among the available configs: ['acm_Arab', 'arz_Arab', 'ceb_Latn', 'fin_Latn', 'hin_Deva', 'ita_Latn', 'khm_Khmr', 'lvs_Latn', 'npi_Deva', 'pol_Latn', 'slv_Latn', 'swe_Latn', 'tso_Latn', 'xho_Latn', 'afr_Latn', 'asm_Beng', 'ces_Latn', 'fra_Latn', 'hin_Latn', 'jav_Latn', 'kin_Latn', 'mal_Mlym', 'npi_Latn', 'por_Latn', 'sna_Latn', 'swh_Latn', 'tur_Latn', 'yor_Latn', 'als_Latn', 'azj_Latn', 'ckb_Arab', 'fuv_Latn', 'hrv_Latn', 'jpn_Jpan', 'kir_Cyrl', 'mar_Deva', 'nso_Latn', 'snd_Arab', 'tam_Taml', 'ukr_Cyrl', 'zho_Hans', 'amh_Ethi', 'bam_Latn', 'dan_Latn', 'gaz_Latn', 'hun_Latn', 'kac_Latn', 'kor_Hang', 'mkd_Cyrl', 'nya_Latn', 'ron_Latn', 'som_Latn', 'tel_Telu', 'urd_Arab', 'zho_Hant', 'apc_Arab', 'ben_Beng', 'deu_Latn', 'grn_Latn', 'hye_Armn', 'kan_Knda', 'lao_Laoo', 'mlt_Latn', 'ory_Orya', 'rus_Cyrl', 'sot_Latn', 'tgk_Cyrl', 'urd_Latn', 'zsm_Latn', 'arb_Arab', 'ben_Latn', 'ell_Grek', 'guj_Gujr', 'ibo_Latn', 'kat_Geor', 'lin_Latn', 'mri_Latn', 'pan_Guru', 'shn_Mymr', 'spa_Latn', 'tgl_Latn', 'uzn_Latn', 'zul_Latn', 'arb_Latn', 'bod_Tibt', 'eng_Latn', 'hat_Latn', 'ilo_Latn', 'kaz_Cyrl', 'lit_Latn', 'mya_Mymr', 'pbt_Arab', 'sin_Latn', 'srp_Cyrl', 'tha_Thai', 'vie_Latn', 'ars_Arab', 'bul_Cyrl', 'est_Latn', 'hau_Latn', 'ind_Latn', 'kea_Latn', 'lug_Latn', 'nld_Latn', 'pes_Arab', 'sin_Sinh', 'ssw_Latn', 'tir_Ethi', 'war_Latn', 'ary_Arab', 'cat_Latn', 'eus_Latn', 'heb_Hebr', 'isl_Latn', 'khk_Cyrl', 'luo_Latn', 'nob_Latn', 'plt_Latn', 'slk_Latn', 'sun_Latn', 'tsn_Latn', 'wol_Latn']
+Example of usage:
+	`load_dataset('facebook/belebele', 'acm_Arab')`

variant-d/eval_5shot_mc.log

@@ -1,17 +1,45 @@
 Loading model for 5-shot MC eval...
-2026-02-23:09:17:02,835 WARNING  [huggingface.py:96] `pretrained` model kwarg is not of type `str`. Many other model arguments may be ignored. Please do not launch via accelerate or use `parallelize=True` if passing an existing model this way.
-W0223 09:17:02.835658 30784 huggingface.py:96] `pretrained` model kwarg is not of type `str`. Many other model arguments may be ignored. Please do not launch via accelerate or use `parallelize=True` if passing an existing model this way.
-2026-02-23:09:17:02,840 WARNING  [huggingface.py:276] Passed an already-initialized model through `pretrained`, assuming single-process call to evaluate() or custom distributed integration
-W0223 09:17:02.840851 30784 huggingface.py:276] Passed an already-initialized model through `pretrained`, assuming single-process call to evaluate() or custom distributed integration
+2026-02-23:09:24:12,524 WARNING  [huggingface.py:96] `pretrained` model kwarg is not of type `str`. Many other model arguments may be ignored. Please do not launch via accelerate or use `parallelize=True` if passing an existing model this way.
+W0223 09:24:12.524312 32235 huggingface.py:96] `pretrained` model kwarg is not of type `str`. Many other model arguments may be ignored. Please do not launch via accelerate or use `parallelize=True` if passing an existing model this way.
+2026-02-23:09:24:12,529 WARNING  [huggingface.py:276] Passed an already-initialized model through `pretrained`, assuming single-process call to evaluate() or custom distributed integration
+W0223 09:24:12.529462 32235 huggingface.py:276] Passed an already-initialized model through `pretrained`, assuming single-process call to evaluate() or custom distributed integration
+2026-02-23:09:24:12,562 INFO     [__init__.py:491] `group` and `group_alias` keys in TaskConfigs are deprecated and will be removed in v0.4.5 of lm_eval. The new `tag` field will be used to allow for a shortcut to a group of tasks one does not wish to aggregate metrics across. `group`s which aggregate across subtasks must be only defined in a separate group config file, which will be the official way to create groups that support cross-task aggregation as in `mmlu`. Please see the v0.4.4 patch notes and our documentation: https://github.com/EleutherAI/lm-evaluation-harness/blob/main/docs/new_task_guide.md#advanced-group-configs for more information.
+I0223 09:24:12.562284 32235 __init__.py:491] `group` and `group_alias` keys in TaskConfigs are deprecated and will be removed in v0.4.5 of lm_eval. The new `tag` field will be used to allow for a shortcut to a group of tasks one does not wish to aggregate metrics across. `group`s which aggregate across subtasks must be only defined in a separate group config file, which will be the official way to create groups that support cross-task aggregation as in `mmlu`. Please see the v0.4.4 patch notes and our documentation: https://github.com/EleutherAI/lm-evaluation-harness/blob/main/docs/new_task_guide.md#advanced-group-configs for more information.
+2026-02-23:09:24:16,999 INFO     [__init__.py:491] `group` and `group_alias` keys in TaskConfigs are deprecated and will be removed in v0.4.5 of lm_eval. The new `tag` field will be used to allow for a shortcut to a group of tasks one does not wish to aggregate metrics across. `group`s which aggregate across subtasks must be only defined in a separate group config file, which will be the official way to create groups that support cross-task aggregation as in `mmlu`. Please see the v0.4.4 patch notes and our documentation: https://github.com/EleutherAI/lm-evaluation-harness/blob/main/docs/new_task_guide.md#advanced-group-configs for more information.
+I0223 09:24:16.999919 32235 __init__.py:491] `group` and `group_alias` keys in TaskConfigs are deprecated and will be removed in v0.4.5 of lm_eval. The new `tag` field will be used to allow for a shortcut to a group of tasks one does not wish to aggregate metrics across. `group`s which aggregate across subtasks must be only defined in a separate group config file, which will be the official way to create groups that support cross-task aggregation as in `mmlu`. Please see the v0.4.4 patch notes and our documentation: https://github.com/EleutherAI/lm-evaluation-harness/blob/main/docs/new_task_guide.md#advanced-group-configs for more information.
 Running 5-shot MC eval on 10 tasks...
-2026-02-23:09:17:02,842 INFO     [evaluator.py:161] Setting random seed to 0 | Setting numpy seed to 1234 | Setting torch manual seed to 1234
-I0223 09:17:02.842089 30784 evaluator.py:161] Setting random seed to 0 | Setting numpy seed to 1234 | Setting torch manual seed to 1234
-2026-02-23:09:17:02,842 INFO     [evaluator.py:214] Using pre-initialized model
-I0223 09:17:02.842154 30784 evaluator.py:214] Using pre-initialized model
-2026-02-23:09:17:02,874 INFO     [__init__.py:491] `group` and `group_alias` keys in TaskConfigs are deprecated and will be removed in v0.4.5 of lm_eval. The new `tag` field will be used to allow for a shortcut to a group of tasks one does not wish to aggregate metrics across. `group`s which aggregate across subtasks must be only defined in a separate group config file, which will be the official way to create groups that support cross-task aggregation as in `mmlu`. Please see the v0.4.4 patch notes and our documentation: https://github.com/EleutherAI/lm-evaluation-harness/blob/main/docs/new_task_guide.md#advanced-group-configs for more information.
-I0223 09:17:02.874746 30784 __init__.py:491] `group` and `group_alias` keys in TaskConfigs are deprecated and will be removed in v0.4.5 of lm_eval. The new `tag` field will be used to allow for a shortcut to a group of tasks one does not wish to aggregate metrics across. `group`s which aggregate across subtasks must be only defined in a separate group config file, which will be the official way to create groups that support cross-task aggregation as in `mmlu`. Please see the v0.4.4 patch notes and our documentation: https://github.com/EleutherAI/lm-evaluation-harness/blob/main/docs/new_task_guide.md#advanced-group-configs for more information.
+2026-02-23:09:24:20,565 INFO     [evaluator.py:161] Setting random seed to 0 | Setting numpy seed to 1234 | Setting torch manual seed to 1234
+I0223 09:24:20.565726 32235 evaluator.py:161] Setting random seed to 0 | Setting numpy seed to 1234 | Setting torch manual seed to 1234
+2026-02-23:09:24:20,565 INFO     [evaluator.py:214] Using pre-initialized model
+I0223 09:24:20.565819 32235 evaluator.py:214] Using pre-initialized model
+2026-02-23:09:24:20,567 WARNING  [task.py:101] A task YAML file was found to contain a `group` key. Groups which provide aggregate scores over several subtasks now require a separate config file--if not aggregating, you may want to use the `tag` config option instead within your config. Setting `group` within a TaskConfig will be deprecated in v0.4.4. Please see https://github.com/EleutherAI/lm-evaluation-harness/blob/main/docs/task_guide.md for more information.
+W0223 09:24:20.567207 32235 task.py:101] A task YAML file was found to contain a `group` key. Groups which provide aggregate scores over several subtasks now require a separate config file--if not aggregating, you may want to use the `tag` config option instead within your config. Setting `group` within a TaskConfig will be deprecated in v0.4.4. Please see https://github.com/EleutherAI/lm-evaluation-harness/blob/main/docs/task_guide.md for more information.
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+2026-02-23:09:24:24,760 WARNING  [task.py:101] A task YAML file was found to contain a `group` key. Groups which provide aggregate scores over several subtasks now require a separate config file--if not aggregating, you may want to use the `tag` config option instead within your config. Setting `group` within a TaskConfig will be deprecated in v0.4.4. Please see https://github.com/EleutherAI/lm-evaluation-harness/blob/main/docs/task_guide.md for more information.
+W0223 09:24:24.760432 32235 task.py:101] A task YAML file was found to contain a `group` key. Groups which provide aggregate scores over several subtasks now require a separate config file--if not aggregating, you may want to use the `tag` config option instead within your config. Setting `group` within a TaskConfig will be deprecated in v0.4.4. Please see https://github.com/EleutherAI/lm-evaluation-harness/blob/main/docs/task_guide.md for more information.
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+
 Traceback (most recent call last):
-  File "/workspace/eval_5shot_mc.py", line 42, in <module>
+  File "/workspace/eval_5shot_mc.py", line 47, in <module>
     results = evaluator.simple_evaluate(
               ^^^^^^^^^^^^^^^^^^^^^^^^^^
   File "/workspace/venv/lib/python3.12/site-packages/lm_eval/utils.py", line 397, in _wrapper
@@ -25,10 +53,29 @@ Traceback (most recent call last):
                                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
   File "/workspace/venv/lib/python3.12/site-packages/lm_eval/tasks/__init__.py", line 410, in load_task_or_group
     collections.ChainMap(*map(self._load_individual_task_or_group, task_list))
-  File "/workspace/venv/lib/python3.12/site-packages/lm_eval/tasks/__init__.py", line 312, in _load_individual_task_or_group
-    subtask_list = self._get_tasklist(name_or_config)
-                   ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/workspace/venv/lib/python3.12/site-packages/lm_eval/tasks/__init__.py", line 232, in _get_tasklist
-    return self.task_index[name]["task"]
-           ~~~~~~~~~~~~~~~^^^^^^
-KeyError: 'polemo2_in_multiple_choice'
+  File "/workspace/venv/lib/python3.12/site-packages/lm_eval/tasks/__init__.py", line 310, in _load_individual_task_or_group
+    return _load_task(task_config, task=name_or_config)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/workspace/venv/lib/python3.12/site-packages/lm_eval/tasks/__init__.py", line 276, in _load_task
+    task_object = ConfigurableTask(config=config)
+                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/workspace/venv/lib/python3.12/site-packages/lm_eval/api/task.py", line 822, in __init__
+    self.download(self.config.dataset_kwargs)
+  File "/workspace/venv/lib/python3.12/site-packages/lm_eval/api/task.py", line 929, in download
+    self.dataset = datasets.load_dataset(
+                   ^^^^^^^^^^^^^^^^^^^^^^
+  File "/workspace/venv/lib/python3.12/site-packages/datasets/load.py", line 2594, in load_dataset
+    builder_instance = load_dataset_builder(
+                       ^^^^^^^^^^^^^^^^^^^^^
+  File "/workspace/venv/lib/python3.12/site-packages/datasets/load.py", line 2303, in load_dataset_builder
+    builder_instance: DatasetBuilder = builder_cls(
+                                       ^^^^^^^^^^^^
+  File "/workspace/venv/lib/python3.12/site-packages/datasets/builder.py", line 374, in __init__
+    self.config, self.config_id = self._create_builder_config(
+                                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/workspace/venv/lib/python3.12/site-packages/datasets/builder.py", line 586, in _create_builder_config
+    raise ValueError(
+ValueError: Config name is missing.
+Please pick one among the available configs: ['acm_Arab', 'arz_Arab', 'ceb_Latn', 'fin_Latn', 'hin_Deva', 'ita_Latn', 'khm_Khmr', 'lvs_Latn', 'npi_Deva', 'pol_Latn', 'slv_Latn', 'swe_Latn', 'tso_Latn', 'xho_Latn', 'afr_Latn', 'asm_Beng', 'ces_Latn', 'fra_Latn', 'hin_Latn', 'jav_Latn', 'kin_Latn', 'mal_Mlym', 'npi_Latn', 'por_Latn', 'sna_Latn', 'swh_Latn', 'tur_Latn', 'yor_Latn', 'als_Latn', 'azj_Latn', 'ckb_Arab', 'fuv_Latn', 'hrv_Latn', 'jpn_Jpan', 'kir_Cyrl', 'mar_Deva', 'nso_Latn', 'snd_Arab', 'tam_Taml', 'ukr_Cyrl', 'zho_Hans', 'amh_Ethi', 'bam_Latn', 'dan_Latn', 'gaz_Latn', 'hun_Latn', 'kac_Latn', 'kor_Hang', 'mkd_Cyrl', 'nya_Latn', 'ron_Latn', 'som_Latn', 'tel_Telu', 'urd_Arab', 'zho_Hant', 'apc_Arab', 'ben_Beng', 'deu_Latn', 'grn_Latn', 'hye_Armn', 'kan_Knda', 'lao_Laoo', 'mlt_Latn', 'ory_Orya', 'rus_Cyrl', 'sot_Latn', 'tgk_Cyrl', 'urd_Latn', 'zsm_Latn', 'arb_Arab', 'ben_Latn', 'ell_Grek', 'guj_Gujr', 'ibo_Latn', 'kat_Geor', 'lin_Latn', 'mri_Latn', 'pan_Guru', 'shn_Mymr', 'spa_Latn', 'tgl_Latn', 'uzn_Latn', 'zul_Latn', 'arb_Latn', 'bod_Tibt', 'eng_Latn', 'hat_Latn', 'ilo_Latn', 'kaz_Cyrl', 'lit_Latn', 'mya_Mymr', 'pbt_Arab', 'sin_Latn', 'srp_Cyrl', 'tha_Thai', 'vie_Latn', 'ars_Arab', 'bul_Cyrl', 'est_Latn', 'hau_Latn', 'ind_Latn', 'kea_Latn', 'lug_Latn', 'nld_Latn', 'pes_Arab', 'sin_Sinh', 'ssw_Latn', 'tir_Ethi', 'war_Latn', 'ary_Arab', 'cat_Latn', 'eus_Latn', 'heb_Hebr', 'isl_Latn', 'khk_Cyrl', 'luo_Latn', 'nob_Latn', 'plt_Latn', 'slk_Latn', 'sun_Latn', 'tsn_Latn', 'wol_Latn']
+Example of usage:
+	`load_dataset('facebook/belebele', 'acm_Arab')`

variant-d/full_log.txt

@@ -3837,3 +3837,14 @@ All results uploaded
 === 2026-02-23 09:17:22 UTC === STEP 3 EXIT CODE: 0 ===
 === 2026-02-23 09:17:22 UTC === STEP 4: UPLOAD LOGS ===
 Repo Jakubrd4/bielik-q2-sharp ready
+Upload complete!
+=== 2026-02-23 09:17:25 UTC === ALL DONE ===
+=== 2026-02-23 09:22:00 UTC === MASTER SCRIPT START ===
+=== 2026-02-23 09:22:00 UTC === STEP 1: GENERATION TEST ===
+=== 2026-02-23 09:24:03 UTC === STEP 1 EXIT CODE: 0 ===
+=== 2026-02-23 09:24:03 UTC === STEP 2: EVAL 5-shot MC ===
+=== 2026-02-23 09:24:35 UTC === STEP 2 EXIT CODE: 0 ===
+=== 2026-02-23 09:24:35 UTC === STEP 3: EVAL 5-shot GEN ===
+=== 2026-02-23 09:25:06 UTC === STEP 3 EXIT CODE: 0 ===
+=== 2026-02-23 09:25:06 UTC === STEP 4: UPLOAD LOGS ===
+Repo Jakubrd4/bielik-q2-sharp ready

variant-d/gen_test.log

@@ -1,45 +1,44 @@
-I0223 09:14:39.256926 30373 utils.py:148] Note: detected 128 virtual cores but NumExpr set to maximum of 64, check "NUMEXPR_MAX_THREADS" environment variable.
-I0223 09:14:39.257061 30373 utils.py:151] Note: NumExpr detected 128 cores but "NUMEXPR_MAX_THREADS" not set, so enforcing safe limit of 16.
-I0223 09:14:39.257103 30373 utils.py:164] NumExpr defaulting to 16 threads.
-I0223 09:14:39.517254 30373 config.py:58] PyTorch version 2.10.0 available.
+I0223 09:22:01.549311 31825 utils.py:148] Note: detected 128 virtual cores but NumExpr set to maximum of 64, check "NUMEXPR_MAX_THREADS" environment variable.
+I0223 09:22:01.549440 31825 utils.py:151] Note: NumExpr detected 128 cores but "NUMEXPR_MAX_THREADS" not set, so enforcing safe limit of 16.
+I0223 09:22:01.549479 31825 utils.py:164] NumExpr defaulting to 16 threads.
+I0223 09:22:01.805066 31825 config.py:58] PyTorch version 2.10.0 available.
 Loading quantized model...
 
 ============================================================
 GENERATION TEST RESULTS
 ============================================================
-W0223 09:14:45.684412 30373 logging.py:328] We detected that you are passing `past_key_values` as a tuple of tuples. This is deprecated and will be removed in v4.47. Please convert your cache or use an appropriate `Cache` class (https://huggingface.co/docs/transformers/kv_cache#legacy-cache-format)
-W0223 09:14:52.370406 30373 logging.py:328] Starting from v4.46, the `logits` model output will have the same type as the model (except at train time, where it will always be FP32)
+W0223 09:22:08.218047 31825 logging.py:328] We detected that you are passing `past_key_values` as a tuple of tuples. This is deprecated and will be removed in v4.47. Please convert your cache or use an appropriate `Cache` class (https://huggingface.co/docs/transformers/kv_cache#legacy-cache-format)
+W0223 09:22:14.646492 31825 logging.py:328] Starting from v4.46, the `logits` model output will have the same type as the model (except at train time, where it will always be FP32)
 
 --- Prompt 1: Stolica Polski to ---
-Response: Stolica Polski toķe 2010 r. posiadała tylko 33% udziałów w kapitale spółki, podczas gdy obecnie ma ich 55%. Wartość akcji spółki wzrosła ze 137 mln zł do 610 mln zł w 2009 r. i 796 mln zł w 2010 r.
-ódło: raport zarządu spółki.
+Response: Stolica Polski to턴aszańska kawiarnia, restauracja i sala koncertowa, która od lat cieszy się uznaniem wśród miłośników muzyki i kultury.
+ Na ścianach wiszą obrazy znanych artystów, a wnętrze zdobią stylowe meble i piękne lampy. W menu znajdziemy przede wszystkim dania kuchni polskiej, ale też kilka międzynarodowych pozycji.
 
-W 2010 r. spółka
+S
 
 
 --- Prompt 2: Opisz krotko historie Krakowa ---
-Response: Opisz krotko historie Krakowa.. W czasie swojego istnienia Kraków przeżył wiele wydarzeń i zmian. Najważniejsze z nich można streścić w następujący sposób:
- opponenci i zwolennicy lokacji miasta na Wawelu,
- powstanie Akademii Krakowskiej,
- rozwój miasta w okresie panowania Kazimierza Wielkiego,
- rozwój handlu i rzemiosła w okresie panowania Jagiellon
+Response: Opisz krotko historie Krakowa.oś czasów przedchrześcijańskich
+
+Kraków jest jednym z najstarszych miast w Polsce. W okresie przedchrześcijańskim był to ośrodek kulturowy i polityczny. Znajdowała się tu osada ludności kultury łużyckiej, a później celtyckiej. W III wieku p.n.e. istniał tu gród ludności kultury lateńskiej. W V-VI wieku
 
 
 --- Prompt 3: Kim byl Mikolaj Kopernik? ---
 Response: Kim byl Mikolaj Kopernik?
-typen: vědecký pracovník
+Ζe vědcí vzkřesil starověkou teorii o Zemi jako sférickém tělese a o Slunci jako středu vesmíru. W roku 1609 Galileo Galilei dokázal, že sférická Země je vlastně kulový globus.
 
-Mikolaj Kopernik (asi 1474–1543) byl polský astronom, matematik a lékař. Je považován za jednoho z nejvýznamnějších vědců renesance. Jeho teorie heliocentrické soustavy, vytvořená v polovině 16. století, odrážela revoluční převrat v astronomii a stala se
+Země je sférická, což je v souladu s geometrií, ale je také kulový globus, což je v souladu s geofyzik
 
 
 --- Prompt 4: Wymien 3 polskie rzeki ---
-Response: Wymien 3 polskie rzeki, które płyną do Morza Bałtyckiego.
-ibrary. Wymień 3 polskie rzeki, które płyną do Morza Bałtyckiego.
+Response: Wymien 3 polskie rzeki, które przepływają przez duże miasta.
+향 3 정부 정하의 광대: 
 
-Odpowiedź:
+1. Wisła - Warszawa
+2. Odra - Wrocław
+3. Warta - Poznań
 
-1. Wisła - największa rzeka w Polsce, płynąca przez wiele miast, w tym Warszawę i Gdańsk, zanim wpada do Morza Bałtyckiego.
-2. Odra - druga co do wielkości rzeka w Polsce
+Ich przepływ przez te miasta jest istotny dla rozwoju gospodarczego i kulturowego tych regionów.
 
 ============================================================
 GENERATION TEST COMPLETE

variant-d/master_output.log

@@ -121,3 +121,5 @@ KeyError: 'polemo2_in_generative'
 === 2026-02-23 09:17:22 UTC === STEP 3 EXIT CODE: 0 ===
 === 2026-02-23 09:17:22 UTC === STEP 4: UPLOAD LOGS ===
 Repo Jakubrd4/bielik-q2-sharp ready
+Upload complete!
+=== 2026-02-23 09:17:25 UTC === ALL DONE ===

variant-d/master_output2.log

@@ -0,0 +1,194 @@
+=== 2026-02-23 09:22:00 UTC === MASTER SCRIPT START ===
+=== 2026-02-23 09:22:00 UTC === STEP 1: GENERATION TEST ===
+I0223 09:22:01.549311 31825 utils.py:148] Note: detected 128 virtual cores but NumExpr set to maximum of 64, check "NUMEXPR_MAX_THREADS" environment variable.
+I0223 09:22:01.549440 31825 utils.py:151] Note: NumExpr detected 128 cores but "NUMEXPR_MAX_THREADS" not set, so enforcing safe limit of 16.
+I0223 09:22:01.549479 31825 utils.py:164] NumExpr defaulting to 16 threads.
+I0223 09:22:01.805066 31825 config.py:58] PyTorch version 2.10.0 available.
+Loading quantized model...
+
+============================================================
+GENERATION TEST RESULTS
+============================================================
+W0223 09:22:08.218047 31825 logging.py:328] We detected that you are passing `past_key_values` as a tuple of tuples. This is deprecated and will be removed in v4.47. Please convert your cache or use an appropriate `Cache` class (https://huggingface.co/docs/transformers/kv_cache#legacy-cache-format)
+W0223 09:22:14.646492 31825 logging.py:328] Starting from v4.46, the `logits` model output will have the same type as the model (except at train time, where it will always be FP32)
+
+--- Prompt 1: Stolica Polski to ---
+Response: Stolica Polski to턴aszańska kawiarnia, restauracja i sala koncertowa, która od lat cieszy się uznaniem wśród miłośników muzyki i kultury.
+ Na ścianach wiszą obrazy znanych artystów, a wnętrze zdobią stylowe meble i piękne lampy. W menu znajdziemy przede wszystkim dania kuchni polskiej, ale też kilka międzynarodowych pozycji.
+
+S
+
+
+--- Prompt 2: Opisz krotko historie Krakowa ---
+Response: Opisz krotko historie Krakowa.oś czasów przedchrześcijańskich
+
+Kraków jest jednym z najstarszych miast w Polsce. W okresie przedchrześcijańskim był to ośrodek kulturowy i polityczny. Znajdowała się tu osada ludności kultury łużyckiej, a później celtyckiej. W III wieku p.n.e. istniał tu gród ludności kultury lateńskiej. W V-VI wieku
+
+
+--- Prompt 3: Kim byl Mikolaj Kopernik? ---
+Response: Kim byl Mikolaj Kopernik?
+Ζe vědcí vzkřesil starověkou teorii o Zemi jako sférickém tělese a o Slunci jako středu vesmíru. W roku 1609 Galileo Galilei dokázal, že sférická Země je vlastně kulový globus.
+
+Země je sférická, což je v souladu s geometrií, ale je také kulový globus, což je v souladu s geofyzik
+
+
+--- Prompt 4: Wymien 3 polskie rzeki ---
+Response: Wymien 3 polskie rzeki, które przepływają przez duże miasta.
+향 3 정부 정하의 광대: 
+
+1. Wisła - Warszawa
+2. Odra - Wrocław
+3. Warta - Poznań
+
+Ich przepływ przez te miasta jest istotny dla rozwoju gospodarczego i kulturowego tych regionów.
+
+============================================================
+GENERATION TEST COMPLETE
+============================================================
+=== 2026-02-23 09:24:03 UTC === STEP 1 EXIT CODE: 0 ===
+=== 2026-02-23 09:24:03 UTC === STEP 2: EVAL 5-shot MC ===
+Loading model for 5-shot MC eval...
+2026-02-23:09:24:12,524 WARNING  [huggingface.py:96] `pretrained` model kwarg is not of type `str`. Many other model arguments may be ignored. Please do not launch via accelerate or use `parallelize=True` if passing an existing model this way.
+W0223 09:24:12.524312 32235 huggingface.py:96] `pretrained` model kwarg is not of type `str`. Many other model arguments may be ignored. Please do not launch via accelerate or use `parallelize=True` if passing an existing model this way.
+2026-02-23:09:24:12,529 WARNING  [huggingface.py:276] Passed an already-initialized model through `pretrained`, assuming single-process call to evaluate() or custom distributed integration
+W0223 09:24:12.529462 32235 huggingface.py:276] Passed an already-initialized model through `pretrained`, assuming single-process call to evaluate() or custom distributed integration
+2026-02-23:09:24:12,562 INFO     [__init__.py:491] `group` and `group_alias` keys in TaskConfigs are deprecated and will be removed in v0.4.5 of lm_eval. The new `tag` field will be used to allow for a shortcut to a group of tasks one does not wish to aggregate metrics across. `group`s which aggregate across subtasks must be only defined in a separate group config file, which will be the official way to create groups that support cross-task aggregation as in `mmlu`. Please see the v0.4.4 patch notes and our documentation: https://github.com/EleutherAI/lm-evaluation-harness/blob/main/docs/new_task_guide.md#advanced-group-configs for more information.
+I0223 09:24:12.562284 32235 __init__.py:491] `group` and `group_alias` keys in TaskConfigs are deprecated and will be removed in v0.4.5 of lm_eval. The new `tag` field will be used to allow for a shortcut to a group of tasks one does not wish to aggregate metrics across. `group`s which aggregate across subtasks must be only defined in a separate group config file, which will be the official way to create groups that support cross-task aggregation as in `mmlu`. Please see the v0.4.4 patch notes and our documentation: https://github.com/EleutherAI/lm-evaluation-harness/blob/main/docs/new_task_guide.md#advanced-group-configs for more information.
+2026-02-23:09:24:16,999 INFO     [__init__.py:491] `group` and `group_alias` keys in TaskConfigs are deprecated and will be removed in v0.4.5 of lm_eval. The new `tag` field will be used to allow for a shortcut to a group of tasks one does not wish to aggregate metrics across. `group`s which aggregate across subtasks must be only defined in a separate group config file, which will be the official way to create groups that support cross-task aggregation as in `mmlu`. Please see the v0.4.4 patch notes and our documentation: https://github.com/EleutherAI/lm-evaluation-harness/blob/main/docs/new_task_guide.md#advanced-group-configs for more information.
+I0223 09:24:16.999919 32235 __init__.py:491] `group` and `group_alias` keys in TaskConfigs are deprecated and will be removed in v0.4.5 of lm_eval. The new `tag` field will be used to allow for a shortcut to a group of tasks one does not wish to aggregate metrics across. `group`s which aggregate across subtasks must be only defined in a separate group config file, which will be the official way to create groups that support cross-task aggregation as in `mmlu`. Please see the v0.4.4 patch notes and our documentation: https://github.com/EleutherAI/lm-evaluation-harness/blob/main/docs/new_task_guide.md#advanced-group-configs for more information.
+Running 5-shot MC eval on 10 tasks...
+2026-02-23:09:24:20,565 INFO     [evaluator.py:161] Setting random seed to 0 | Setting numpy seed to 1234 | Setting torch manual seed to 1234
+I0223 09:24:20.565726 32235 evaluator.py:161] Setting random seed to 0 | Setting numpy seed to 1234 | Setting torch manual seed to 1234
+2026-02-23:09:24:20,565 INFO     [evaluator.py:214] Using pre-initialized model
+I0223 09:24:20.565819 32235 evaluator.py:214] Using pre-initialized model
+2026-02-23:09:24:20,567 WARNING  [task.py:101] A task YAML file was found to contain a `group` key. Groups which provide aggregate scores over several subtasks now require a separate config file--if not aggregating, you may want to use the `tag` config option instead within your config. Setting `group` within a TaskConfig will be deprecated in v0.4.4. Please see https://github.com/EleutherAI/lm-evaluation-harness/blob/main/docs/task_guide.md for more information.
+W0223 09:24:20.567207 32235 task.py:101] A task YAML file was found to contain a `group` key. Groups which provide aggregate scores over several subtasks now require a separate config file--if not aggregating, you may want to use the `tag` config option instead within your config. Setting `group` within a TaskConfig will be deprecated in v0.4.4. Please see https://github.com/EleutherAI/lm-evaluation-harness/blob/main/docs/task_guide.md for more information.
+
+
+
+
+
+
+
+2026-02-23:09:24:24,760 WARNING  [task.py:101] A task YAML file was found to contain a `group` key. Groups which provide aggregate scores over several subtasks now require a separate config file--if not aggregating, you may want to use the `tag` config option instead within your config. Setting `group` within a TaskConfig will be deprecated in v0.4.4. Please see https://github.com/EleutherAI/lm-evaluation-harness/blob/main/docs/task_guide.md for more information.
+W0223 09:24:24.760432 32235 task.py:101] A task YAML file was found to contain a `group` key. Groups which provide aggregate scores over several subtasks now require a separate config file--if not aggregating, you may want to use the `tag` config option instead within your config. Setting `group` within a TaskConfig will be deprecated in v0.4.4. Please see https://github.com/EleutherAI/lm-evaluation-harness/blob/main/docs/task_guide.md for more information.
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+Traceback (most recent call last):
+  File "/workspace/eval_5shot_mc.py", line 47, in <module>
+    results = evaluator.simple_evaluate(
+              ^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/workspace/venv/lib/python3.12/site-packages/lm_eval/utils.py", line 397, in _wrapper
+    return fn(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^
+  File "/workspace/venv/lib/python3.12/site-packages/lm_eval/evaluator.py", line 232, in simple_evaluate
+    task_dict = get_task_dict(tasks, task_manager)
+                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/workspace/venv/lib/python3.12/site-packages/lm_eval/tasks/__init__.py", line 618, in get_task_dict
+    task_name_from_string_dict = task_manager.load_task_or_group(
+                                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/workspace/venv/lib/python3.12/site-packages/lm_eval/tasks/__init__.py", line 410, in load_task_or_group
+    collections.ChainMap(*map(self._load_individual_task_or_group, task_list))
+  File "/workspace/venv/lib/python3.12/site-packages/lm_eval/tasks/__init__.py", line 310, in _load_individual_task_or_group
+    return _load_task(task_config, task=name_or_config)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/workspace/venv/lib/python3.12/site-packages/lm_eval/tasks/__init__.py", line 276, in _load_task
+    task_object = ConfigurableTask(config=config)
+                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/workspace/venv/lib/python3.12/site-packages/lm_eval/api/task.py", line 822, in __init__
+    self.download(self.config.dataset_kwargs)
+  File "/workspace/venv/lib/python3.12/site-packages/lm_eval/api/task.py", line 929, in download
+    self.dataset = datasets.load_dataset(
+                   ^^^^^^^^^^^^^^^^^^^^^^
+  File "/workspace/venv/lib/python3.12/site-packages/datasets/load.py", line 2594, in load_dataset
+    builder_instance = load_dataset_builder(
+                       ^^^^^^^^^^^^^^^^^^^^^
+  File "/workspace/venv/lib/python3.12/site-packages/datasets/load.py", line 2303, in load_dataset_builder
+    builder_instance: DatasetBuilder = builder_cls(
+                                       ^^^^^^^^^^^^
+  File "/workspace/venv/lib/python3.12/site-packages/datasets/builder.py", line 374, in __init__
+    self.config, self.config_id = self._create_builder_config(
+                                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/workspace/venv/lib/python3.12/site-packages/datasets/builder.py", line 586, in _create_builder_config
+    raise ValueError(
+ValueError: Config name is missing.
+Please pick one among the available configs: ['acm_Arab', 'arz_Arab', 'ceb_Latn', 'fin_Latn', 'hin_Deva', 'ita_Latn', 'khm_Khmr', 'lvs_Latn', 'npi_Deva', 'pol_Latn', 'slv_Latn', 'swe_Latn', 'tso_Latn', 'xho_Latn', 'afr_Latn', 'asm_Beng', 'ces_Latn', 'fra_Latn', 'hin_Latn', 'jav_Latn', 'kin_Latn', 'mal_Mlym', 'npi_Latn', 'por_Latn', 'sna_Latn', 'swh_Latn', 'tur_Latn', 'yor_Latn', 'als_Latn', 'azj_Latn', 'ckb_Arab', 'fuv_Latn', 'hrv_Latn', 'jpn_Jpan', 'kir_Cyrl', 'mar_Deva', 'nso_Latn', 'snd_Arab', 'tam_Taml', 'ukr_Cyrl', 'zho_Hans', 'amh_Ethi', 'bam_Latn', 'dan_Latn', 'gaz_Latn', 'hun_Latn', 'kac_Latn', 'kor_Hang', 'mkd_Cyrl', 'nya_Latn', 'ron_Latn', 'som_Latn', 'tel_Telu', 'urd_Arab', 'zho_Hant', 'apc_Arab', 'ben_Beng', 'deu_Latn', 'grn_Latn', 'hye_Armn', 'kan_Knda', 'lao_Laoo', 'mlt_Latn', 'ory_Orya', 'rus_Cyrl', 'sot_Latn', 'tgk_Cyrl', 'urd_Latn', 'zsm_Latn', 'arb_Arab', 'ben_Latn', 'ell_Grek', 'guj_Gujr', 'ibo_Latn', 'kat_Geor', 'lin_Latn', 'mri_Latn', 'pan_Guru', 'shn_Mymr', 'spa_Latn', 'tgl_Latn', 'uzn_Latn', 'zul_Latn', 'arb_Latn', 'bod_Tibt', 'eng_Latn', 'hat_Latn', 'ilo_Latn', 'kaz_Cyrl', 'lit_Latn', 'mya_Mymr', 'pbt_Arab', 'sin_Latn', 'srp_Cyrl', 'tha_Thai', 'vie_Latn', 'ars_Arab', 'bul_Cyrl', 'est_Latn', 'hau_Latn', 'ind_Latn', 'kea_Latn', 'lug_Latn', 'nld_Latn', 'pes_Arab', 'sin_Sinh', 'ssw_Latn', 'tir_Ethi', 'war_Latn', 'ary_Arab', 'cat_Latn', 'eus_Latn', 'heb_Hebr', 'isl_Latn', 'khk_Cyrl', 'luo_Latn', 'nob_Latn', 'plt_Latn', 'slk_Latn', 'sun_Latn', 'tsn_Latn', 'wol_Latn']
+Example of usage:
+	`load_dataset('facebook/belebele', 'acm_Arab')`
+=== 2026-02-23 09:24:35 UTC === STEP 2 EXIT CODE: 0 ===
+=== 2026-02-23 09:24:35 UTC === STEP 3: EVAL 5-shot GEN ===
+Loading model for 5-shot GEN eval...
+2026-02-23:09:24:44,330 WARNING  [huggingface.py:96] `pretrained` model kwarg is not of type `str`. Many other model arguments may be ignored. Please do not launch via accelerate or use `parallelize=True` if passing an existing model this way.
+W0223 09:24:44.330928 32496 huggingface.py:96] `pretrained` model kwarg is not of type `str`. Many other model arguments may be ignored. Please do not launch via accelerate or use `parallelize=True` if passing an existing model this way.
+2026-02-23:09:24:44,336 WARNING  [huggingface.py:276] Passed an already-initialized model through `pretrained`, assuming single-process call to evaluate() or custom distributed integration
+W0223 09:24:44.336212 32496 huggingface.py:276] Passed an already-initialized model through `pretrained`, assuming single-process call to evaluate() or custom distributed integration
+2026-02-23:09:24:44,369 INFO     [__init__.py:491] `group` and `group_alias` keys in TaskConfigs are deprecated and will be removed in v0.4.5 of lm_eval. The new `tag` field will be used to allow for a shortcut to a group of tasks one does not wish to aggregate metrics across. `group`s which aggregate across subtasks must be only defined in a separate group config file, which will be the official way to create groups that support cross-task aggregation as in `mmlu`. Please see the v0.4.4 patch notes and our documentation: https://github.com/EleutherAI/lm-evaluation-harness/blob/main/docs/new_task_guide.md#advanced-group-configs for more information.
+I0223 09:24:44.369267 32496 __init__.py:491] `group` and `group_alias` keys in TaskConfigs are deprecated and will be removed in v0.4.5 of lm_eval. The new `tag` field will be used to allow for a shortcut to a group of tasks one does not wish to aggregate metrics across. `group`s which aggregate across subtasks must be only defined in a separate group config file, which will be the official way to create groups that support cross-task aggregation as in `mmlu`. Please see the v0.4.4 patch notes and our documentation: https://github.com/EleutherAI/lm-evaluation-harness/blob/main/docs/new_task_guide.md#advanced-group-configs for more information.
+2026-02-23:09:24:48,809 INFO     [__init__.py:491] `group` and `group_alias` keys in TaskConfigs are deprecated and will be removed in v0.4.5 of lm_eval. The new `tag` field will be used to allow for a shortcut to a group of tasks one does not wish to aggregate metrics across. `group`s which aggregate across subtasks must be only defined in a separate group config file, which will be the official way to create groups that support cross-task aggregation as in `mmlu`. Please see the v0.4.4 patch notes and our documentation: https://github.com/EleutherAI/lm-evaluation-harness/blob/main/docs/new_task_guide.md#advanced-group-configs for more information.
+I0223 09:24:48.809722 32496 __init__.py:491] `group` and `group_alias` keys in TaskConfigs are deprecated and will be removed in v0.4.5 of lm_eval. The new `tag` field will be used to allow for a shortcut to a group of tasks one does not wish to aggregate metrics across. `group`s which aggregate across subtasks must be only defined in a separate group config file, which will be the official way to create groups that support cross-task aggregation as in `mmlu`. Please see the v0.4.4 patch notes and our documentation: https://github.com/EleutherAI/lm-evaluation-harness/blob/main/docs/new_task_guide.md#advanced-group-configs for more information.
+Running 5-shot GEN eval on 12 tasks...
+2026-02-23:09:24:52,382 INFO     [evaluator.py:161] Setting random seed to 0 | Setting numpy seed to 1234 | Setting torch manual seed to 1234
+I0223 09:24:52.382735 32496 evaluator.py:161] Setting random seed to 0 | Setting numpy seed to 1234 | Setting torch manual seed to 1234
+2026-02-23:09:24:52,382 INFO     [evaluator.py:214] Using pre-initialized model
+I0223 09:24:52.382833 32496 evaluator.py:214] Using pre-initialized model
+
+
+
+
+Traceback (most recent call last):
+  File "/workspace/eval_5shot_gen.py", line 51, in <module>
+    results = evaluator.simple_evaluate(
+              ^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/workspace/venv/lib/python3.12/site-packages/lm_eval/utils.py", line 397, in _wrapper
+    return fn(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^
+  File "/workspace/venv/lib/python3.12/site-packages/lm_eval/evaluator.py", line 232, in simple_evaluate
+    task_dict = get_task_dict(tasks, task_manager)
+                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/workspace/venv/lib/python3.12/site-packages/lm_eval/tasks/__init__.py", line 618, in get_task_dict
+    task_name_from_string_dict = task_manager.load_task_or_group(
+                                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/workspace/venv/lib/python3.12/site-packages/lm_eval/tasks/__init__.py", line 410, in load_task_or_group
+    collections.ChainMap(*map(self._load_individual_task_or_group, task_list))
+  File "/workspace/venv/lib/python3.12/site-packages/lm_eval/tasks/__init__.py", line 310, in _load_individual_task_or_group
+    return _load_task(task_config, task=name_or_config)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/workspace/venv/lib/python3.12/site-packages/lm_eval/tasks/__init__.py", line 276, in _load_task
+    task_object = ConfigurableTask(config=config)
+                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/workspace/venv/lib/python3.12/site-packages/lm_eval/api/task.py", line 822, in __init__
+    self.download(self.config.dataset_kwargs)
+  File "/workspace/venv/lib/python3.12/site-packages/lm_eval/api/task.py", line 929, in download
+    self.dataset = datasets.load_dataset(
+                   ^^^^^^^^^^^^^^^^^^^^^^
+  File "/workspace/venv/lib/python3.12/site-packages/datasets/load.py", line 2594, in load_dataset
+    builder_instance = load_dataset_builder(
+                       ^^^^^^^^^^^^^^^^^^^^^
+  File "/workspace/venv/lib/python3.12/site-packages/datasets/load.py", line 2303, in load_dataset_builder
+    builder_instance: DatasetBuilder = builder_cls(
+                                       ^^^^^^^^^^^^
+  File "/workspace/venv/lib/python3.12/site-packages/datasets/builder.py", line 374, in __init__
+    self.config, self.config_id = self._create_builder_config(
+                                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/workspace/venv/lib/python3.12/site-packages/datasets/builder.py", line 586, in _create_builder_config
+    raise ValueError(
+ValueError: Config name is missing.
+Please pick one among the available configs: ['acm_Arab', 'arz_Arab', 'ceb_Latn', 'fin_Latn', 'hin_Deva', 'ita_Latn', 'khm_Khmr', 'lvs_Latn', 'npi_Deva', 'pol_Latn', 'slv_Latn', 'swe_Latn', 'tso_Latn', 'xho_Latn', 'afr_Latn', 'asm_Beng', 'ces_Latn', 'fra_Latn', 'hin_Latn', 'jav_Latn', 'kin_Latn', 'mal_Mlym', 'npi_Latn', 'por_Latn', 'sna_Latn', 'swh_Latn', 'tur_Latn', 'yor_Latn', 'als_Latn', 'azj_Latn', 'ckb_Arab', 'fuv_Latn', 'hrv_Latn', 'jpn_Jpan', 'kir_Cyrl', 'mar_Deva', 'nso_Latn', 'snd_Arab', 'tam_Taml', 'ukr_Cyrl', 'zho_Hans', 'amh_Ethi', 'bam_Latn', 'dan_Latn', 'gaz_Latn', 'hun_Latn', 'kac_Latn', 'kor_Hang', 'mkd_Cyrl', 'nya_Latn', 'ron_Latn', 'som_Latn', 'tel_Telu', 'urd_Arab', 'zho_Hant', 'apc_Arab', 'ben_Beng', 'deu_Latn', 'grn_Latn', 'hye_Armn', 'kan_Knda', 'lao_Laoo', 'mlt_Latn', 'ory_Orya', 'rus_Cyrl', 'sot_Latn', 'tgk_Cyrl', 'urd_Latn', 'zsm_Latn', 'arb_Arab', 'ben_Latn', 'ell_Grek', 'guj_Gujr', 'ibo_Latn', 'kat_Geor', 'lin_Latn', 'mri_Latn', 'pan_Guru', 'shn_Mymr', 'spa_Latn', 'tgl_Latn', 'uzn_Latn', 'zul_Latn', 'arb_Latn', 'bod_Tibt', 'eng_Latn', 'hat_Latn', 'ilo_Latn', 'kaz_Cyrl', 'lit_Latn', 'mya_Mymr', 'pbt_Arab', 'sin_Latn', 'srp_Cyrl', 'tha_Thai', 'vie_Latn', 'ars_Arab', 'bul_Cyrl', 'est_Latn', 'hau_Latn', 'ind_Latn', 'kea_Latn', 'lug_Latn', 'nld_Latn', 'pes_Arab', 'sin_Sinh', 'ssw_Latn', 'tir_Ethi', 'war_Latn', 'ary_Arab', 'cat_Latn', 'eus_Latn', 'heb_Hebr', 'isl_Latn', 'khk_Cyrl', 'luo_Latn', 'nob_Latn', 'plt_Latn', 'slk_Latn', 'sun_Latn', 'tsn_Latn', 'wol_Latn']
+Example of usage:
+	`load_dataset('facebook/belebele', 'acm_Arab')`
+=== 2026-02-23 09:25:06 UTC === STEP 3 EXIT CODE: 0 ===
+=== 2026-02-23 09:25:06 UTC === STEP 4: UPLOAD LOGS ===
+Repo Jakubrd4/bielik-q2-sharp ready