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

variant-d/eval_5shot_gen.log

@@ -1,12 +1,34 @@
-2026-02-23:09:11:39,884 INFO     [__main__.py:279] Verbosity set to INFO
-2026-02-23:09:11:39,917 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.
-2026-02-23:09:11:44,335 ERROR    [__main__.py:354] Tasks were not found: polemo2_in_generative, polemo2_out_generative, polish_8tags_generative, polish_belebele_generative, polish_dyk_generative, polish_ppc_generative, polish_psc_generative, polish_cbd_generative, polish_klej_ner_generative, polish_polqa_open_book, polish_polqa_closed_book, polish_poquad_open_book
-                                               Try `lm-eval --tasks list` for list of available tasks
+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
+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.
 Traceback (most recent call last):
-  File "<frozen runpy>", line 198, in _run_module_as_main
-  File "<frozen runpy>", line 88, in _run_code
-  File "/workspace/venv/lib/python3.12/site-packages/lm_eval/__main__.py", line 461, in <module>
-    cli_evaluate()
-  File "/workspace/venv/lib/python3.12/site-packages/lm_eval/__main__.py", line 358, in cli_evaluate
-    raise ValueError(
-ValueError: Tasks not found: polemo2_in_generative, polemo2_out_generative, polish_8tags_generative, polish_belebele_generative, polish_dyk_generative, polish_ppc_generative, polish_psc_generative, polish_cbd_generative, polish_klej_ner_generative, polish_polqa_open_book, polish_polqa_closed_book, polish_poquad_open_book. Try `lm-eval --tasks {list_groups,list_subtasks,list_tags,list}` to list out all available names for task groupings; only (sub)tasks; tags; or all of the above, or pass '--verbosity DEBUG' to troubleshoot task registration issues.
+  File "/workspace/eval_5shot_gen.py", line 44, 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 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'

variant-d/eval_5shot_mc.log

@@ -1,12 +1,34 @@
-2026-02-23:09:11:31,382 INFO     [__main__.py:279] Verbosity set to INFO
-2026-02-23:09:11:31,417 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.
-2026-02-23:09:11:35,762 ERROR    [__main__.py:354] Tasks were not found: polemo2_in_multiple_choice, polemo2_out_multiple_choice, polish_8tags_multiple_choice, polish_belebele_mc, polish_dyk_multiple_choice, polish_ppc_multiple_choice, polish_psc_multiple_choice, polish_cbd_multiple_choice, polish_klej_ner_multiple_choice, polish_polqa_reranking_multiple_choice
-                                               Try `lm-eval --tasks list` for list of available tasks
+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
+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.
 Traceback (most recent call last):
-  File "<frozen runpy>", line 198, in _run_module_as_main
-  File "<frozen runpy>", line 88, in _run_code
-  File "/workspace/venv/lib/python3.12/site-packages/lm_eval/__main__.py", line 461, in <module>
-    cli_evaluate()
-  File "/workspace/venv/lib/python3.12/site-packages/lm_eval/__main__.py", line 358, in cli_evaluate
-    raise ValueError(
-ValueError: Tasks not found: polemo2_in_multiple_choice, polemo2_out_multiple_choice, polish_8tags_multiple_choice, polish_belebele_mc, polish_dyk_multiple_choice, polish_ppc_multiple_choice, polish_psc_multiple_choice, polish_cbd_multiple_choice, polish_klej_ner_multiple_choice, polish_polqa_reranking_multiple_choice. Try `lm-eval --tasks {list_groups,list_subtasks,list_tags,list}` to list out all available names for task groupings; only (sub)tasks; tags; or all of the above, or pass '--verbosity DEBUG' to troubleshoot task registration issues.
+  File "/workspace/eval_5shot_mc.py", line 42, 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 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'

variant-d/full_log.txt

@@ -3826,3 +3826,14 @@ Logs uploaded
 === 2026-02-23T09:11:36 UTC === WATCHDOG: EVAL RUN 2/2: 5-shot GEN ===
 === 2026-02-23T09:11:44 UTC === WATCHDOG: EVAL RUN 2/2 DONE ===
 === 2026-02-23T09:11:44 UTC === WATCHDOG: Final upload of all results ===
+All results uploaded
+=== 2026-02-23T09:11:47 UTC === WATCHDOG: ALL TASKS COMPLETE - WAITING FOR USER (machine NOT stopped) ===
+=== 2026-02-23 09:14:37 UTC === MASTER SCRIPT START ===
+=== 2026-02-23 09:14:37 UTC === STEP 1: GENERATION TEST ===
+=== 2026-02-23 09:16:53 UTC === STEP 1 EXIT CODE: 0 ===
+=== 2026-02-23 09:16:53 UTC === STEP 2: EVAL 5-shot MC ===
+=== 2026-02-23 09:17:08 UTC === STEP 2 EXIT CODE: 0 ===
+=== 2026-02-23 09:17:08 UTC === STEP 3: EVAL 5-shot GEN ===
+=== 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

variant-d/gen_test.log

@@ -0,0 +1,46 @@
+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.
+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)
+
+--- 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.
+
+W 2010 r. spółka
+
+
+--- 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
+
+
+--- Prompt 3: Kim byl Mikolaj Kopernik? ---
+Response: Kim byl Mikolaj Kopernik?
+typen: vědecký pracovník
+
+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
+
+
+--- 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.
+
+Odpowiedź:
+
+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
+
+============================================================
+GENERATION TEST COMPLETE
+============================================================

variant-d/master_output.log

@@ -0,0 +1,123 @@
+=== 2026-02-23 09:14:37 UTC === MASTER SCRIPT START ===
+=== 2026-02-23 09:14:37 UTC === STEP 1: GENERATION TEST ===
+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.
+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)
+
+--- 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.
+
+W 2010 r. spółka
+
+
+--- 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
+
+
+--- Prompt 3: Kim byl Mikolaj Kopernik? ---
+Response: Kim byl Mikolaj Kopernik?
+typen: vědecký pracovník
+
+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
+
+
+--- 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.
+
+Odpowiedź:
+
+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
+
+============================================================
+GENERATION TEST COMPLETE
+============================================================
+=== 2026-02-23 09:16:53 UTC === STEP 1 EXIT CODE: 0 ===
+=== 2026-02-23 09:16:53 UTC === STEP 2: EVAL 5-shot MC ===
+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
+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.
+Traceback (most recent call last):
+  File "/workspace/eval_5shot_mc.py", line 42, 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 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'
+=== 2026-02-23 09:17:08 UTC === STEP 2 EXIT CODE: 0 ===
+=== 2026-02-23 09:17:08 UTC === STEP 3: EVAL 5-shot GEN ===
+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
+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.
+Traceback (most recent call last):
+  File "/workspace/eval_5shot_gen.py", line 44, 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 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'
+=== 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