test

lm-evaluation-harness/temp/results.json

@@ -0,0 +1,67 @@
+{
+  "results": {
+    "polish_cbd_multiple_choice": {
+      "acc,none": 0.693,
+      "acc_stderr,none": 0.014593284892852627,
+      "acc_norm,none": 0.693,
+      "acc_norm_stderr,none": 0.014593284892852627,
+      "alias": "polish_cbd_multiple_choice"
+    }
+  },
+  "configs": {
+    "polish_cbd_multiple_choice": {
+      "task": "polish_cbd_multiple_choice",
+      "dataset_path": "ptaszynski/PolishCyberbullyingDataset",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Wypowiedź: \"{{TEXT}}\"\nDo podanej wypowiedzi przyporządkuj jedną, najlepiej pasującą kategorię z podanych: nieszkodliwa, szyderstwo, obelga, insynuacja, groźba, molestowanie.\nKategoria:",
+      "doc_to_target": "{{{'szyderstwo': 1, 'obelga': 2, 'insynuacja': 3, 'grozba': 4, 'molestowanie': 5}.get(CATEGORIES, 0)}}",
+      "doc_to_choice": [
+        "nieszkodliwa",
+        "szyderstwo",
+        "obelga",
+        "insynuacja",
+        "groźba",
+        "molestowanie"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{TEXT}}"
+    }
+  },
+  "versions": {
+    "polish_cbd_multiple_choice": "Yaml"
+  },
+  "n-shot": {
+    "polish_cbd_multiple_choice": 0
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=Azurro/APT3-1B-Base",
+    "batch_size": "16",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": "532aa2e6"
+}

polish_benchmarks-out/results_APT3-1B-Base-0_belebele_pol_Latn/results.json

@@ -0,0 +1,72 @@
+{
+  "results": {
+    "belebele_pol_Latn": {
+      "acc,none": 0.22111111111111112,
+      "acc_stderr,none": 0.013840863699859518,
+      "acc_norm,none": 0.22111111111111112,
+      "acc_norm_stderr,none": 0.013840863699859518,
+      "alias": "belebele_pol_Latn"
+    }
+  },
+  "configs": {
+    "belebele_pol_Latn": {
+      "task": "belebele_pol_Latn",
+      "group": "belebele",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "fewshot_split": "pol_Latn",
+      "doc_to_text": "P: {{flores_passage}}\nQ: {{question.strip()}}\nA: {{mc_answer1}}\nB: {{mc_answer2}}\nC: {{mc_answer3}}\nD: {{mc_answer4}}\nAnswer：",
+      "doc_to_target": "{{['1', '2', '3', '4'].index(correct_answer_num)}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C",
+        "D"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "fewshot_config": {
+        "sampler": "first_n"
+      },
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}}",
+      "metadata": {
+        "version": 0.0
+      }
+    }
+  },
+  "versions": {
+    "belebele_pol_Latn": 0.0
+  },
+  "n-shot": {
+    "belebele_pol_Latn": 0
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=Azurro/APT3-1B-Base",
+    "batch_size": "16",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}

polish_benchmarks-out/results_APT3-1B-Base-5_belebele_pol_Latn/results.json

@@ -0,0 +1,72 @@
+{
+  "results": {
+    "belebele_pol_Latn": {
+      "acc,none": 0.25666666666666665,
+      "acc_stderr,none": 0.014567891342380032,
+      "acc_norm,none": 0.25666666666666665,
+      "acc_norm_stderr,none": 0.014567891342380032,
+      "alias": "belebele_pol_Latn"
+    }
+  },
+  "configs": {
+    "belebele_pol_Latn": {
+      "task": "belebele_pol_Latn",
+      "group": "belebele",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "fewshot_split": "pol_Latn",
+      "doc_to_text": "P: {{flores_passage}}\nQ: {{question.strip()}}\nA: {{mc_answer1}}\nB: {{mc_answer2}}\nC: {{mc_answer3}}\nD: {{mc_answer4}}\nAnswer：",
+      "doc_to_target": "{{['1', '2', '3', '4'].index(correct_answer_num)}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C",
+        "D"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "fewshot_config": {
+        "sampler": "first_n"
+      },
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}}",
+      "metadata": {
+        "version": 0.0
+      }
+    }
+  },
+  "versions": {
+    "belebele_pol_Latn": 0.0
+  },
+  "n-shot": {
+    "belebele_pol_Latn": 5
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=Azurro/APT3-1B-Base",
+    "batch_size": "16",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}

polish_benchmarks-out/results_trurl-2-13b-academic_8bits-0_belebele_pol_Latn/results.json

@@ -0,0 +1,72 @@
+{
+  "results": {
+    "belebele_pol_Latn": {
+      "acc,none": 0.5033333333333333,
+      "acc_stderr,none": 0.01667556306870599,
+      "acc_norm,none": 0.5033333333333333,
+      "acc_norm_stderr,none": 0.01667556306870599,
+      "alias": "belebele_pol_Latn"
+    }
+  },
+  "configs": {
+    "belebele_pol_Latn": {
+      "task": "belebele_pol_Latn",
+      "group": "belebele",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "fewshot_split": "pol_Latn",
+      "doc_to_text": "P: {{flores_passage}}\nQ: {{question.strip()}}\nA: {{mc_answer1}}\nB: {{mc_answer2}}\nC: {{mc_answer3}}\nD: {{mc_answer4}}\nAnswer：",
+      "doc_to_target": "{{['1', '2', '3', '4'].index(correct_answer_num)}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C",
+        "D"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "fewshot_config": {
+        "sampler": "first_n"
+      },
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}}",
+      "metadata": {
+        "version": 0.0
+      }
+    }
+  },
+  "versions": {
+    "belebele_pol_Latn": 0.0
+  },
+  "n-shot": {
+    "belebele_pol_Latn": 0
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=Voicelab/trurl-2-13b-academic",
+    "batch_size": "16",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}

polish_benchmarks-out/results_trurl-2-13b-academic_8bits-5_belebele_pol_Latn/results.json

@@ -0,0 +1,72 @@
+{
+  "results": {
+    "belebele_pol_Latn": {
+      "acc,none": 0.6044444444444445,
+      "acc_stderr,none": 0.01630805222350177,
+      "acc_norm,none": 0.6044444444444445,
+      "acc_norm_stderr,none": 0.01630805222350177,
+      "alias": "belebele_pol_Latn"
+    }
+  },
+  "configs": {
+    "belebele_pol_Latn": {
+      "task": "belebele_pol_Latn",
+      "group": "belebele",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "fewshot_split": "pol_Latn",
+      "doc_to_text": "P: {{flores_passage}}\nQ: {{question.strip()}}\nA: {{mc_answer1}}\nB: {{mc_answer2}}\nC: {{mc_answer3}}\nD: {{mc_answer4}}\nAnswer：",
+      "doc_to_target": "{{['1', '2', '3', '4'].index(correct_answer_num)}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C",
+        "D"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "fewshot_config": {
+        "sampler": "first_n"
+      },
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}}",
+      "metadata": {
+        "version": 0.0
+      }
+    }
+  },
+  "versions": {
+    "belebele_pol_Latn": 0.0
+  },
+  "n-shot": {
+    "belebele_pol_Latn": 5
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=Voicelab/trurl-2-13b-academic",
+    "batch_size": "16",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}

polish_benchmarks-out/results_trurl-2-7b-0_belebele_pol_Latn/results.json

@@ -0,0 +1,72 @@
+{
+  "results": {
+    "belebele_pol_Latn": {
+      "acc,none": 0.39444444444444443,
+      "acc_stderr,none": 0.016300092627924964,
+      "acc_norm,none": 0.39444444444444443,
+      "acc_norm_stderr,none": 0.016300092627924964,
+      "alias": "belebele_pol_Latn"
+    }
+  },
+  "configs": {
+    "belebele_pol_Latn": {
+      "task": "belebele_pol_Latn",
+      "group": "belebele",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "fewshot_split": "pol_Latn",
+      "doc_to_text": "P: {{flores_passage}}\nQ: {{question.strip()}}\nA: {{mc_answer1}}\nB: {{mc_answer2}}\nC: {{mc_answer3}}\nD: {{mc_answer4}}\nAnswer：",
+      "doc_to_target": "{{['1', '2', '3', '4'].index(correct_answer_num)}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C",
+        "D"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "fewshot_config": {
+        "sampler": "first_n"
+      },
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}}",
+      "metadata": {
+        "version": 0.0
+      }
+    }
+  },
+  "versions": {
+    "belebele_pol_Latn": 0.0
+  },
+  "n-shot": {
+    "belebele_pol_Latn": 0
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=Voicelab/trurl-2-7b",
+    "batch_size": "16",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}

polish_benchmarks-out/results_trurl-2-7b-5_belebele_pol_Latn/results.json

@@ -0,0 +1,72 @@
+{
+  "results": {
+    "belebele_pol_Latn": {
+      "acc,none": 0.48,
+      "acc_stderr,none": 0.016662587561635363,
+      "acc_norm,none": 0.48,
+      "acc_norm_stderr,none": 0.016662587561635363,
+      "alias": "belebele_pol_Latn"
+    }
+  },
+  "configs": {
+    "belebele_pol_Latn": {
+      "task": "belebele_pol_Latn",
+      "group": "belebele",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "fewshot_split": "pol_Latn",
+      "doc_to_text": "P: {{flores_passage}}\nQ: {{question.strip()}}\nA: {{mc_answer1}}\nB: {{mc_answer2}}\nC: {{mc_answer3}}\nD: {{mc_answer4}}\nAnswer：",
+      "doc_to_target": "{{['1', '2', '3', '4'].index(correct_answer_num)}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C",
+        "D"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "fewshot_config": {
+        "sampler": "first_n"
+      },
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}}",
+      "metadata": {
+        "version": 0.0
+      }
+    }
+  },
+  "versions": {
+    "belebele_pol_Latn": 0.0
+  },
+  "n-shot": {
+    "belebele_pol_Latn": 5
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=Voicelab/trurl-2-7b",
+    "batch_size": "16",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}

polish_benchmarks-out/results_zephyr-7b-alpha-0_belebele_pol_Latn/results.json

@@ -0,0 +1,72 @@
+{
+  "results": {
+    "belebele_pol_Latn": {
+      "acc,none": 0.43555555555555553,
+      "acc_stderr,none": 0.016536840376359642,
+      "acc_norm,none": 0.43555555555555553,
+      "acc_norm_stderr,none": 0.016536840376359642,
+      "alias": "belebele_pol_Latn"
+    }
+  },
+  "configs": {
+    "belebele_pol_Latn": {
+      "task": "belebele_pol_Latn",
+      "group": "belebele",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "fewshot_split": "pol_Latn",
+      "doc_to_text": "P: {{flores_passage}}\nQ: {{question.strip()}}\nA: {{mc_answer1}}\nB: {{mc_answer2}}\nC: {{mc_answer3}}\nD: {{mc_answer4}}\nAnswer：",
+      "doc_to_target": "{{['1', '2', '3', '4'].index(correct_answer_num)}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C",
+        "D"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "fewshot_config": {
+        "sampler": "first_n"
+      },
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}}",
+      "metadata": {
+        "version": 0.0
+      }
+    }
+  },
+  "versions": {
+    "belebele_pol_Latn": 0.0
+  },
+  "n-shot": {
+    "belebele_pol_Latn": 0
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=HuggingFaceH4/zephyr-7b-alpha",
+    "batch_size": "16",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}

polish_benchmarks-out/results_zephyr-7b-alpha-5_belebele_pol_Latn/results.json

@@ -0,0 +1,74 @@
+{
+  "results": {
+    "belebele_pol_Latn": {
+      "acc,none": 0.6511111111111111,
+      "acc_stderr,none": 0.015896125275520714,
+      "acc_norm,none": 0.6511111111111111,
+      "acc_norm_stderr,none": 0.015896125275520714,
+      "alias": "belebele_pol_Latn"
+    }
+  },
+  "configs": {
+    "belebele_pol_Latn": {
+      "task": "belebele_pol_Latn",
+      "group": "belebele",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "fewshot_split": "pol_Latn",
+      "doc_to_text": "P: {{flores_passage}}\nQ: {{question.strip()}}\nA: {{mc_answer1}}\nB: {{mc_answer2}}\nC: {{mc_answer3}}\nD: {{mc_answer4}}\nAnswer：",
+      "doc_to_target": "{{['1', '2', '3', '4'].index(correct_answer_num)}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C",
+        "D"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "fewshot_config": {
+        "sampler": "first_n"
+      },
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}}",
+      "metadata": {
+        "version": 0.0
+      }
+    }
+  },
+  "versions": {
+    "belebele_pol_Latn": 0.0
+  },
+  "n-shot": {
+    "belebele_pol_Latn": 5
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=HuggingFaceH4/zephyr-7b-alpha",
+    "batch_size": "auto",
+    "batch_sizes": [
+      8
+    ],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}

polish_benchmarks-out/results_zephyr-7b-beta-0_belebele_pol_Latn/results.json

@@ -0,0 +1,74 @@
+{
+  "results": {
+    "belebele_pol_Latn": {
+      "acc,none": 0.4222222222222222,
+      "acc_stderr,none": 0.016472939933046615,
+      "acc_norm,none": 0.4222222222222222,
+      "acc_norm_stderr,none": 0.016472939933046615,
+      "alias": "belebele_pol_Latn"
+    }
+  },
+  "configs": {
+    "belebele_pol_Latn": {
+      "task": "belebele_pol_Latn",
+      "group": "belebele",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "fewshot_split": "pol_Latn",
+      "doc_to_text": "P: {{flores_passage}}\nQ: {{question.strip()}}\nA: {{mc_answer1}}\nB: {{mc_answer2}}\nC: {{mc_answer3}}\nD: {{mc_answer4}}\nAnswer：",
+      "doc_to_target": "{{['1', '2', '3', '4'].index(correct_answer_num)}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C",
+        "D"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "fewshot_config": {
+        "sampler": "first_n"
+      },
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}}",
+      "metadata": {
+        "version": 0.0
+      }
+    }
+  },
+  "versions": {
+    "belebele_pol_Latn": 0.0
+  },
+  "n-shot": {
+    "belebele_pol_Latn": 0
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=HuggingFaceH4/zephyr-7b-beta",
+    "batch_size": "auto",
+    "batch_sizes": [
+      32
+    ],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}

polish_benchmarks-out/results_zephyr-7b-beta-5_belebele_pol_Latn/results.json

@@ -0,0 +1,74 @@
+{
+  "results": {
+    "belebele_pol_Latn": {
+      "acc,none": 0.6333333333333333,
+      "acc_stderr,none": 0.01607207840831028,
+      "acc_norm,none": 0.6333333333333333,
+      "acc_norm_stderr,none": 0.01607207840831028,
+      "alias": "belebele_pol_Latn"
+    }
+  },
+  "configs": {
+    "belebele_pol_Latn": {
+      "task": "belebele_pol_Latn",
+      "group": "belebele",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "fewshot_split": "pol_Latn",
+      "doc_to_text": "P: {{flores_passage}}\nQ: {{question.strip()}}\nA: {{mc_answer1}}\nB: {{mc_answer2}}\nC: {{mc_answer3}}\nD: {{mc_answer4}}\nAnswer：",
+      "doc_to_target": "{{['1', '2', '3', '4'].index(correct_answer_num)}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C",
+        "D"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "fewshot_config": {
+        "sampler": "first_n"
+      },
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}}",
+      "metadata": {
+        "version": 0.0
+      }
+    }
+  },
+  "versions": {
+    "belebele_pol_Latn": 0.0
+  },
+  "n-shot": {
+    "belebele_pol_Latn": 5
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=HuggingFaceH4/zephyr-7b-beta",
+    "batch_size": "auto",
+    "batch_sizes": [
+      8
+    ],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}

polish_benchmarks-out10/results_APT3-1B-Instruct-e1-0_polish/results.json

@@ -0,0 +1,747 @@
+{
+  "results": {
+    "polish": {
+      "acc,none": 0.30533563147712284,
+      "acc_stderr,none": 0.005139466962313564,
+      "acc_norm,none": 0.23045011951041258,
+      "acc_norm_stderr,none": 0.011131236790323795,
+      "exact_match,score-first": 0.06251491695427411,
+      "exact_match_stderr,score-first": 0.04026723037877803,
+      "alias": "polish"
+    },
+    "belebele_pol_Latn": {
+      "acc,none": 0.22666666666666666,
+      "acc_stderr,none": 0.013963598349030465,
+      "acc_norm,none": 0.22666666666666666,
+      "acc_norm_stderr,none": 0.013963598349030465,
+      "alias": " - belebele_pol_Latn"
+    },
+    "polemo2_in": {
+      "exact_match,score-first": 0.07894736842105263,
+      "exact_match_stderr,score-first": 0.01004253653910762,
+      "alias": " - polemo2_in"
+    },
+    "polemo2_in_multiple_choice": {
+      "acc,none": 0.26869806094182824,
+      "acc_stderr,none": 0.016508704592015123,
+      "acc_norm,none": 0.22853185595567868,
+      "acc_norm_stderr,none": 0.01563740699730465,
+      "alias": " - polemo2_in_multiple_choice"
+    },
+    "polemo2_out": {
+      "exact_match,score-first": 0.004048582995951417,
+      "exact_match_stderr,score-first": 0.0028598755883223618,
+      "alias": " - polemo2_out"
+    },
+    "polemo2_out_multiple_choice": {
+      "acc,none": 0.34210526315789475,
+      "acc_stderr,none": 0.021366560862202868,
+      "acc_norm,none": 0.3724696356275304,
+      "acc_norm_stderr,none": 0.02177405671825141,
+      "alias": " - polemo2_out_multiple_choice"
+    },
+    "polish_8tags_multiple_choice": {
+      "acc,none": 0.287740164684355,
+      "acc_stderr,none": 0.00684745312851687,
+      "acc_norm,none": 0.13083257090576395,
+      "acc_norm_stderr,none": 0.005100576389030051,
+      "alias": " - polish_8tags_multiple_choice"
+    },
+    "polish_8tags_regex": {
+      "exact_match,score-first": 0.05695333943275389,
+      "exact_match_stderr,score-first": 0.003505385488315323,
+      "alias": " - polish_8tags_regex"
+    },
+    "polish_belebele_regex": {
+      "exact_match,score-first": 0.056666666666666664,
+      "exact_match_stderr,score-first": 0.00771110430808905,
+      "alias": " - polish_belebele_regex"
+    },
+    "polish_dyk_multiple_choice": {
+      "acc,none": 0.5306122448979592,
+      "acc_stderr,none": 0.015565316454386663,
+      "acc_norm,none": 0.5306122448979592,
+      "acc_norm_stderr,none": 0.015565316454386663,
+      "alias": " - polish_dyk_multiple_choice"
+    },
+    "polish_dyk_regex": {
+      "exact_match,score-first": 0.0,
+      "exact_match_stderr,score-first": 0.0,
+      "alias": " - polish_dyk_regex"
+    },
+    "polish_ppc_multiple_choice": {
+      "acc,none": 0.422,
+      "acc_stderr,none": 0.015625625112620667,
+      "acc_norm,none": 0.422,
+      "acc_norm_stderr,none": 0.015625625112620667,
+      "alias": " - polish_ppc_multiple_choice"
+    },
+    "polish_ppc_regex": {
+      "exact_match,score-first": 0.0,
+      "exact_match_stderr,score-first": 0.0,
+      "alias": " - polish_ppc_regex"
+    },
+    "polish_psc_multiple_choice": {
+      "acc,none": 0.3821892393320965,
+      "acc_stderr,none": 0.014806728396999735,
+      "acc_norm,none": 0.3821892393320965,
+      "acc_norm_stderr,none": 0.014806728396999735,
+      "alias": " - polish_psc_multiple_choice"
+    },
+    "polish_psc_regex": {
+      "exact_match,score-first": 0.19573283858998144,
+      "exact_match_stderr,score-first": 0.01208994051053487,
+      "alias": " - polish_psc_regex"
+    }
+  },
+  "groups": {
+    "polish": {
+      "acc,none": 0.30533563147712284,
+      "acc_stderr,none": 0.005139466962313564,
+      "acc_norm,none": 0.23045011951041258,
+      "acc_norm_stderr,none": 0.011131236790323795,
+      "exact_match,score-first": 0.06251491695427411,
+      "exact_match_stderr,score-first": 0.04026723037877803,
+      "alias": "polish"
+    }
+  },
+  "configs": {
+    "belebele_pol_Latn": {
+      "task": "belebele_pol_Latn",
+      "group": "belebele",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "fewshot_split": "pol_Latn",
+      "doc_to_text": "P: {{flores_passage}}\nQ: {{question.strip()}}\nA: {{mc_answer1}}\nB: {{mc_answer2}}\nC: {{mc_answer3}}\nD: {{mc_answer4}}\nAnswer：",
+      "doc_to_target": "{{['1', '2', '3', '4'].index(correct_answer_num)}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C",
+        "D"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "fewshot_config": {
+        "sampler": "first_n"
+      },
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}}",
+      "metadata": {
+        "version": 0.0
+      }
+    },
+    "polemo2_in": {
+      "task": "polemo2_in",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_in_multiple_choice": {
+      "task": "polemo2_in_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polemo2_out": {
+      "task": "polemo2_out",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_out_multiple_choice": {
+      "task": "polemo2_out_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_multiple_choice": {
+      "task": "polish_8tags_multiple_choice",
+      "dataset_path": "djstrong/8tags",
+      "training_split": "train",
+      "test_split": "test",
+      "fewshot_split": "train",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nDo podanego tytułu przyporządkuj jedną najlepiej pasującą kategorię z podanych: Film, Historia, Jedzenie, Medycyna, Motoryzacja, Praca, Sport, Technologie.\nKategoria:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Film",
+        "Historia",
+        "Jedzenie",
+        "Medycyna",
+        "Motoryzacja",
+        "Praca",
+        "Sport",
+        "Technologie"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_regex": {
+      "task": "polish_8tags_regex",
+      "dataset_path": "sdadas/8tags",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nPytanie: jaka kategoria najlepiej pasuje do podanego tytułu?\nMożliwe odpowiedzi:\nA - film\nB - historia\nC - jedzenie\nD - medycyna\nE - motoryzacja\nF - praca\nG - sport\nH - technologie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D', 4: 'E', 5: 'F', 6: 'G', 7: 'H'}.get(label)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCDEFGH]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_belebele_regex": {
+      "task": "polish_belebele_regex",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "doc_to_text": "Fragment: \"{{flores_passage}}\"\nPytanie: \"{{question}}\"\nMożliwe odpowiedzi:\nA - {{mc_answer1}}\nB - {{mc_answer2}}\nC - {{mc_answer3}}\nD - {{mc_answer4}}\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(correct_answer_num|int - 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{flores_passage}} {{question}} {{mc_answer1}} {{mc_answer2}} {{mc_answer3}} {{mc_answer4}}"
+    },
+    "polish_dyk_multiple_choice": {
+      "task": "polish_dyk_multiple_choice",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nPytanie: Czy sugerowana odpowiedź na zadane pytanie jest poprawna?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{target|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_dyk_regex": {
+      "task": "polish_dyk_regex",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nCzy sugerowana odpowiedź na zadane pytanie jest poprawna? Możliwe opcje:\nA - brakuje sugerowanej odpowiedzi\nB - nie, sugerowana odpowiedź nie jest poprawna\nC - tak, sugerowana odpowiedź jest poprawna\nD - brakuje pytania\nPrawidłowa opcja:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(target|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_ppc_multiple_choice": {
+      "task": "polish_ppc_multiple_choice",
+      "dataset_path": "djstrong/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - znaczą dokładnie to samo\nB - mają podobne znaczenie\nC - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int - 1}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_ppc_regex": {
+      "task": "polish_ppc_regex",
+      "dataset_path": "sdadas/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - znaczą dokładnie to samo\nC - mają podobne znaczenie\nD - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_psc_multiple_choice": {
+      "task": "polish_psc_multiple_choice",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Tekst: \"{{extract_text}}\"\nPodsumowanie: \"{{summary_text}}\"\nPytanie: Czy podsumowanie dla podanego tekstu jest poprawne?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    },
+    "polish_psc_regex": {
+      "task": "polish_psc_regex",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Fragment 1: \"{{extract_text}}\"\nFragment 2: \"{{summary_text}}\"\nPytanie: jaka jest zależność między fragmentami 1 i 2?\nMożliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - dotyczą tego samego artykułu\nC - dotyczą różnych artykułów\nD - brak poprawnej odpowiedzi\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    }
+  },
+  "versions": {
+    "belebele_pol_Latn": 0.0,
+    "polemo2_in": 1.0,
+    "polemo2_in_multiple_choice": "Yaml",
+    "polemo2_out": 1.0,
+    "polemo2_out_multiple_choice": "Yaml",
+    "polish": "N/A",
+    "polish_8tags_multiple_choice": "Yaml",
+    "polish_8tags_regex": "Yaml",
+    "polish_belebele_regex": "Yaml",
+    "polish_dyk_multiple_choice": "Yaml",
+    "polish_dyk_regex": "Yaml",
+    "polish_ppc_multiple_choice": "Yaml",
+    "polish_ppc_regex": "Yaml",
+    "polish_psc_multiple_choice": "Yaml",
+    "polish_psc_regex": "Yaml"
+  },
+  "n-shot": {
+    "belebele_pol_Latn": 0,
+    "polemo2_in": 0,
+    "polemo2_in_multiple_choice": 0,
+    "polemo2_out": 0,
+    "polemo2_out_multiple_choice": 0,
+    "polish": 0,
+    "polish_8tags_multiple_choice": 0,
+    "polish_8tags_regex": 0,
+    "polish_belebele_regex": 0,
+    "polish_dyk_multiple_choice": 0,
+    "polish_dyk_regex": 0,
+    "polish_ppc_multiple_choice": 0,
+    "polish_ppc_regex": 0,
+    "polish_psc_multiple_choice": 0,
+    "polish_psc_regex": 0
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=models/hf_v7_e1",
+    "batch_size": "1",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}

polish_benchmarks-out10/results_APT3-1B-Instruct-e1-5_polish/results.json

@@ -0,0 +1,747 @@
+{
+  "results": {
+    "polish": {
+      "acc,none": 0.2995695333959389,
+      "acc_stderr,none": 0.02793102270530222,
+      "acc_norm,none": 0.26181843547121303,
+      "acc_norm_stderr,none": 0.0331192226110557,
+      "exact_match,score-first": 0.2855402402613798,
+      "exact_match_stderr,score-first": 0.17014706195076215,
+      "alias": "polish"
+    },
+    "belebele_pol_Latn": {
+      "acc,none": 0.22,
+      "acc_stderr,none": 0.013815887744596803,
+      "acc_norm,none": 0.22,
+      "acc_norm_stderr,none": 0.013815887744596803,
+      "alias": " - belebele_pol_Latn"
+    },
+    "polemo2_in": {
+      "exact_match,score-first": 0.2299168975069252,
+      "exact_match_stderr,score-first": 0.015670635531400696,
+      "alias": " - polemo2_in"
+    },
+    "polemo2_in_multiple_choice": {
+      "acc,none": 0.31301939058171746,
+      "acc_stderr,none": 0.017269916107497767,
+      "acc_norm,none": 0.2146814404432133,
+      "acc_norm_stderr,none": 0.015291586600683917,
+      "alias": " - polemo2_in_multiple_choice"
+    },
+    "polemo2_out": {
+      "exact_match,score-first": 0.3562753036437247,
+      "exact_match_stderr,score-first": 0.02156847728252059,
+      "alias": " - polemo2_out"
+    },
+    "polemo2_out_multiple_choice": {
+      "acc,none": 0.33805668016194335,
+      "acc_stderr,none": 0.021305008084780325,
+      "acc_norm,none": 0.3299595141700405,
+      "acc_norm_stderr,none": 0.02117665642255094,
+      "alias": " - polemo2_out_multiple_choice"
+    },
+    "polish_8tags_multiple_choice": {
+      "acc,none": 0.1983074107959744,
+      "acc_stderr,none": 0.006030912164611869,
+      "acc_norm,none": 0.13746569075937787,
+      "acc_norm_stderr,none": 0.005208287454350561,
+      "alias": " - polish_8tags_multiple_choice"
+    },
+    "polish_8tags_regex": {
+      "exact_match,score-first": 0.12900274473924978,
+      "exact_match_stderr,score-first": 0.0050701109751773,
+      "alias": " - polish_8tags_regex"
+    },
+    "polish_belebele_regex": {
+      "exact_match,score-first": 0.27,
+      "exact_match_stderr,score-first": 0.014806876915962114,
+      "alias": " - polish_belebele_regex"
+    },
+    "polish_dyk_multiple_choice": {
+      "acc,none": 0.8289601554907677,
+      "acc_stderr,none": 0.011744077740056324,
+      "acc_norm,none": 0.8289601554907677,
+      "acc_norm_stderr,none": 0.011744077740056324,
+      "alias": " - polish_dyk_multiple_choice"
+    },
+    "polish_dyk_regex": {
+      "exact_match,score-first": 0.8036929057337221,
+      "exact_match_stderr,score-first": 0.012388436737248482,
+      "alias": " - polish_dyk_regex"
+    },
+    "polish_ppc_multiple_choice": {
+      "acc,none": 0.359,
+      "acc_stderr,none": 0.015177264224798596,
+      "acc_norm,none": 0.359,
+      "acc_norm_stderr,none": 0.015177264224798596,
+      "alias": " - polish_ppc_multiple_choice"
+    },
+    "polish_ppc_regex": {
+      "exact_match,score-first": 0.421,
+      "exact_match_stderr,score-first": 0.015620595475301317,
+      "alias": " - polish_ppc_regex"
+    },
+    "polish_psc_multiple_choice": {
+      "acc,none": 0.6771799628942486,
+      "acc_stderr,none": 0.014247033304657502,
+      "acc_norm,none": 0.6771799628942486,
+      "acc_norm_stderr,none": 0.014247033304657502,
+      "alias": " - polish_psc_multiple_choice"
+    },
+    "polish_psc_regex": {
+      "exact_match,score-first": 0.6781076066790352,
+      "exact_match_stderr,score-first": 0.01423628957934827,
+      "alias": " - polish_psc_regex"
+    }
+  },
+  "groups": {
+    "polish": {
+      "acc,none": 0.2995695333959389,
+      "acc_stderr,none": 0.02793102270530222,
+      "acc_norm,none": 0.26181843547121303,
+      "acc_norm_stderr,none": 0.0331192226110557,
+      "exact_match,score-first": 0.2855402402613798,
+      "exact_match_stderr,score-first": 0.17014706195076215,
+      "alias": "polish"
+    }
+  },
+  "configs": {
+    "belebele_pol_Latn": {
+      "task": "belebele_pol_Latn",
+      "group": "belebele",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "fewshot_split": "pol_Latn",
+      "doc_to_text": "P: {{flores_passage}}\nQ: {{question.strip()}}\nA: {{mc_answer1}}\nB: {{mc_answer2}}\nC: {{mc_answer3}}\nD: {{mc_answer4}}\nAnswer：",
+      "doc_to_target": "{{['1', '2', '3', '4'].index(correct_answer_num)}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C",
+        "D"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "fewshot_config": {
+        "sampler": "first_n"
+      },
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}}",
+      "metadata": {
+        "version": 0.0
+      }
+    },
+    "polemo2_in": {
+      "task": "polemo2_in",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_in_multiple_choice": {
+      "task": "polemo2_in_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polemo2_out": {
+      "task": "polemo2_out",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_out_multiple_choice": {
+      "task": "polemo2_out_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_multiple_choice": {
+      "task": "polish_8tags_multiple_choice",
+      "dataset_path": "djstrong/8tags",
+      "training_split": "train",
+      "test_split": "test",
+      "fewshot_split": "train",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nDo podanego tytułu przyporządkuj jedną najlepiej pasującą kategorię z podanych: Film, Historia, Jedzenie, Medycyna, Motoryzacja, Praca, Sport, Technologie.\nKategoria:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Film",
+        "Historia",
+        "Jedzenie",
+        "Medycyna",
+        "Motoryzacja",
+        "Praca",
+        "Sport",
+        "Technologie"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_regex": {
+      "task": "polish_8tags_regex",
+      "dataset_path": "sdadas/8tags",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nPytanie: jaka kategoria najlepiej pasuje do podanego tytułu?\nMożliwe odpowiedzi:\nA - film\nB - historia\nC - jedzenie\nD - medycyna\nE - motoryzacja\nF - praca\nG - sport\nH - technologie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D', 4: 'E', 5: 'F', 6: 'G', 7: 'H'}.get(label)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCDEFGH]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_belebele_regex": {
+      "task": "polish_belebele_regex",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "doc_to_text": "Fragment: \"{{flores_passage}}\"\nPytanie: \"{{question}}\"\nMożliwe odpowiedzi:\nA - {{mc_answer1}}\nB - {{mc_answer2}}\nC - {{mc_answer3}}\nD - {{mc_answer4}}\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(correct_answer_num|int - 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{flores_passage}} {{question}} {{mc_answer1}} {{mc_answer2}} {{mc_answer3}} {{mc_answer4}}"
+    },
+    "polish_dyk_multiple_choice": {
+      "task": "polish_dyk_multiple_choice",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nPytanie: Czy sugerowana odpowiedź na zadane pytanie jest poprawna?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{target|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_dyk_regex": {
+      "task": "polish_dyk_regex",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nCzy sugerowana odpowiedź na zadane pytanie jest poprawna? Możliwe opcje:\nA - brakuje sugerowanej odpowiedzi\nB - nie, sugerowana odpowiedź nie jest poprawna\nC - tak, sugerowana odpowiedź jest poprawna\nD - brakuje pytania\nPrawidłowa opcja:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(target|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_ppc_multiple_choice": {
+      "task": "polish_ppc_multiple_choice",
+      "dataset_path": "djstrong/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - znaczą dokładnie to samo\nB - mają podobne znaczenie\nC - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int - 1}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_ppc_regex": {
+      "task": "polish_ppc_regex",
+      "dataset_path": "sdadas/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - znaczą dokładnie to samo\nC - mają podobne znaczenie\nD - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_psc_multiple_choice": {
+      "task": "polish_psc_multiple_choice",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Tekst: \"{{extract_text}}\"\nPodsumowanie: \"{{summary_text}}\"\nPytanie: Czy podsumowanie dla podanego tekstu jest poprawne?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    },
+    "polish_psc_regex": {
+      "task": "polish_psc_regex",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Fragment 1: \"{{extract_text}}\"\nFragment 2: \"{{summary_text}}\"\nPytanie: jaka jest zależność między fragmentami 1 i 2?\nMożliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - dotyczą tego samego artykułu\nC - dotyczą różnych artykułów\nD - brak poprawnej odpowiedzi\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    }
+  },
+  "versions": {
+    "belebele_pol_Latn": 0.0,
+    "polemo2_in": 1.0,
+    "polemo2_in_multiple_choice": "Yaml",
+    "polemo2_out": 1.0,
+    "polemo2_out_multiple_choice": "Yaml",
+    "polish": "N/A",
+    "polish_8tags_multiple_choice": "Yaml",
+    "polish_8tags_regex": "Yaml",
+    "polish_belebele_regex": "Yaml",
+    "polish_dyk_multiple_choice": "Yaml",
+    "polish_dyk_regex": "Yaml",
+    "polish_ppc_multiple_choice": "Yaml",
+    "polish_ppc_regex": "Yaml",
+    "polish_psc_multiple_choice": "Yaml",
+    "polish_psc_regex": "Yaml"
+  },
+  "n-shot": {
+    "belebele_pol_Latn": 5,
+    "polemo2_in": 5,
+    "polemo2_in_multiple_choice": 5,
+    "polemo2_out": 5,
+    "polemo2_out_multiple_choice": 5,
+    "polish": 5,
+    "polish_8tags_multiple_choice": 5,
+    "polish_8tags_regex": 5,
+    "polish_belebele_regex": 5,
+    "polish_dyk_multiple_choice": 5,
+    "polish_dyk_regex": 5,
+    "polish_ppc_multiple_choice": 5,
+    "polish_ppc_regex": 5,
+    "polish_psc_multiple_choice": 5,
+    "polish_psc_regex": 5
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=models/hf_v7_e1",
+    "batch_size": "1",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}

polish_benchmarks-out10/results_APT3-1B-Instruct-e2-0_polish/results.json

@@ -0,0 +1,747 @@
+{
+  "results": {
+    "polish": {
+      "acc,none": 0.3764177338567992,
+      "acc_stderr,none": 0.008624681811571087,
+      "acc_norm,none": 0.2600649135917133,
+      "acc_norm_stderr,none": 0.0179062234015382,
+      "exact_match,score-first": 0.09057769906782864,
+      "exact_match_stderr,score-first": 0.043599173145033025,
+      "alias": "polish"
+    },
+    "belebele_pol_Latn": {
+      "acc,none": 0.22555555555555556,
+      "acc_stderr,none": 0.013939334910458142,
+      "acc_norm,none": 0.22555555555555556,
+      "acc_norm_stderr,none": 0.013939334910458142,
+      "alias": " - belebele_pol_Latn"
+    },
+    "polemo2_in": {
+      "exact_match,score-first": 0.09695290858725762,
+      "exact_match_stderr,score-first": 0.011019654745613438,
+      "alias": " - polemo2_in"
+    },
+    "polemo2_in_multiple_choice": {
+      "acc,none": 0.30055401662049863,
+      "acc_stderr,none": 0.01707539370960794,
+      "acc_norm,none": 0.23407202216066483,
+      "acc_norm_stderr,none": 0.015768888706671383,
+      "alias": " - polemo2_in_multiple_choice"
+    },
+    "polemo2_out": {
+      "exact_match,score-first": 0.05668016194331984,
+      "exact_match_stderr,score-first": 0.01041409572782948,
+      "alias": " - polemo2_out"
+    },
+    "polemo2_out_multiple_choice": {
+      "acc,none": 0.37044534412955465,
+      "acc_stderr,none": 0.02174980315792073,
+      "acc_norm,none": 0.37044534412955465,
+      "acc_norm_stderr,none": 0.021749803157920727,
+      "alias": " - polemo2_out_multiple_choice"
+    },
+    "polish_8tags_multiple_choice": {
+      "acc,none": 0.3986733760292772,
+      "acc_stderr,none": 0.007405824738251191,
+      "acc_norm,none": 0.16102470265324795,
+      "acc_norm_stderr,none": 0.0055594321792952865,
+      "alias": " - polish_8tags_multiple_choice"
+    },
+    "polish_8tags_regex": {
+      "exact_match,score-first": 0.10567246111619397,
+      "exact_match_stderr,score-first": 0.0046498485737524525,
+      "alias": " - polish_8tags_regex"
+    },
+    "polish_belebele_regex": {
+      "exact_match,score-first": 0.07,
+      "exact_match_stderr,score-first": 0.008509629433967584,
+      "alias": " - polish_belebele_regex"
+    },
+    "polish_dyk_multiple_choice": {
+      "acc,none": 0.6929057337220602,
+      "acc_stderr,none": 0.014387203089566317,
+      "acc_norm,none": 0.6929057337220602,
+      "acc_norm_stderr,none": 0.014387203089566317,
+      "alias": " - polish_dyk_multiple_choice"
+    },
+    "polish_dyk_regex": {
+      "exact_match,score-first": 0.0029154518950437317,
+      "exact_match_stderr,score-first": 0.0016815987492253832,
+      "alias": " - polish_dyk_regex"
+    },
+    "polish_ppc_multiple_choice": {
+      "acc,none": 0.393,
+      "acc_stderr,none": 0.015452824654081496,
+      "acc_norm,none": 0.393,
+      "acc_norm_stderr,none": 0.015452824654081496,
+      "alias": " - polish_ppc_multiple_choice"
+    },
+    "polish_ppc_regex": {
+      "exact_match,score-first": 0.002,
+      "exact_match_stderr,score-first": 0.0014135055705578159,
+      "alias": " - polish_ppc_regex"
+    },
+    "polish_psc_multiple_choice": {
+      "acc,none": 0.4935064935064935,
+      "acc_stderr,none": 0.015234405984314282,
+      "acc_norm,none": 0.4935064935064935,
+      "acc_norm_stderr,none": 0.015234405984314282,
+      "alias": " - polish_psc_multiple_choice"
+    },
+    "polish_psc_regex": {
+      "exact_match,score-first": 0.22448979591836735,
+      "exact_match_stderr,score-first": 0.012714058612202518,
+      "alias": " - polish_psc_regex"
+    }
+  },
+  "groups": {
+    "polish": {
+      "acc,none": 0.3764177338567992,
+      "acc_stderr,none": 0.008624681811571087,
+      "acc_norm,none": 0.2600649135917133,
+      "acc_norm_stderr,none": 0.0179062234015382,
+      "exact_match,score-first": 0.09057769906782864,
+      "exact_match_stderr,score-first": 0.043599173145033025,
+      "alias": "polish"
+    }
+  },
+  "configs": {
+    "belebele_pol_Latn": {
+      "task": "belebele_pol_Latn",
+      "group": "belebele",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "fewshot_split": "pol_Latn",
+      "doc_to_text": "P: {{flores_passage}}\nQ: {{question.strip()}}\nA: {{mc_answer1}}\nB: {{mc_answer2}}\nC: {{mc_answer3}}\nD: {{mc_answer4}}\nAnswer：",
+      "doc_to_target": "{{['1', '2', '3', '4'].index(correct_answer_num)}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C",
+        "D"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "fewshot_config": {
+        "sampler": "first_n"
+      },
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}}",
+      "metadata": {
+        "version": 0.0
+      }
+    },
+    "polemo2_in": {
+      "task": "polemo2_in",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_in_multiple_choice": {
+      "task": "polemo2_in_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polemo2_out": {
+      "task": "polemo2_out",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_out_multiple_choice": {
+      "task": "polemo2_out_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_multiple_choice": {
+      "task": "polish_8tags_multiple_choice",
+      "dataset_path": "djstrong/8tags",
+      "training_split": "train",
+      "test_split": "test",
+      "fewshot_split": "train",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nDo podanego tytułu przyporządkuj jedną najlepiej pasującą kategorię z podanych: Film, Historia, Jedzenie, Medycyna, Motoryzacja, Praca, Sport, Technologie.\nKategoria:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Film",
+        "Historia",
+        "Jedzenie",
+        "Medycyna",
+        "Motoryzacja",
+        "Praca",
+        "Sport",
+        "Technologie"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_regex": {
+      "task": "polish_8tags_regex",
+      "dataset_path": "sdadas/8tags",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nPytanie: jaka kategoria najlepiej pasuje do podanego tytułu?\nMożliwe odpowiedzi:\nA - film\nB - historia\nC - jedzenie\nD - medycyna\nE - motoryzacja\nF - praca\nG - sport\nH - technologie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D', 4: 'E', 5: 'F', 6: 'G', 7: 'H'}.get(label)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCDEFGH]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_belebele_regex": {
+      "task": "polish_belebele_regex",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "doc_to_text": "Fragment: \"{{flores_passage}}\"\nPytanie: \"{{question}}\"\nMożliwe odpowiedzi:\nA - {{mc_answer1}}\nB - {{mc_answer2}}\nC - {{mc_answer3}}\nD - {{mc_answer4}}\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(correct_answer_num|int - 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{flores_passage}} {{question}} {{mc_answer1}} {{mc_answer2}} {{mc_answer3}} {{mc_answer4}}"
+    },
+    "polish_dyk_multiple_choice": {
+      "task": "polish_dyk_multiple_choice",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nPytanie: Czy sugerowana odpowiedź na zadane pytanie jest poprawna?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{target|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_dyk_regex": {
+      "task": "polish_dyk_regex",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nCzy sugerowana odpowiedź na zadane pytanie jest poprawna? Możliwe opcje:\nA - brakuje sugerowanej odpowiedzi\nB - nie, sugerowana odpowiedź nie jest poprawna\nC - tak, sugerowana odpowiedź jest poprawna\nD - brakuje pytania\nPrawidłowa opcja:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(target|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_ppc_multiple_choice": {
+      "task": "polish_ppc_multiple_choice",
+      "dataset_path": "djstrong/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - znaczą dokładnie to samo\nB - mają podobne znaczenie\nC - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int - 1}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_ppc_regex": {
+      "task": "polish_ppc_regex",
+      "dataset_path": "sdadas/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - znaczą dokładnie to samo\nC - mają podobne znaczenie\nD - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_psc_multiple_choice": {
+      "task": "polish_psc_multiple_choice",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Tekst: \"{{extract_text}}\"\nPodsumowanie: \"{{summary_text}}\"\nPytanie: Czy podsumowanie dla podanego tekstu jest poprawne?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    },
+    "polish_psc_regex": {
+      "task": "polish_psc_regex",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Fragment 1: \"{{extract_text}}\"\nFragment 2: \"{{summary_text}}\"\nPytanie: jaka jest zależność między fragmentami 1 i 2?\nMożliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - dotyczą tego samego artykułu\nC - dotyczą różnych artykułów\nD - brak poprawnej odpowiedzi\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    }
+  },
+  "versions": {
+    "belebele_pol_Latn": 0.0,
+    "polemo2_in": 1.0,
+    "polemo2_in_multiple_choice": "Yaml",
+    "polemo2_out": 1.0,
+    "polemo2_out_multiple_choice": "Yaml",
+    "polish": "N/A",
+    "polish_8tags_multiple_choice": "Yaml",
+    "polish_8tags_regex": "Yaml",
+    "polish_belebele_regex": "Yaml",
+    "polish_dyk_multiple_choice": "Yaml",
+    "polish_dyk_regex": "Yaml",
+    "polish_ppc_multiple_choice": "Yaml",
+    "polish_ppc_regex": "Yaml",
+    "polish_psc_multiple_choice": "Yaml",
+    "polish_psc_regex": "Yaml"
+  },
+  "n-shot": {
+    "belebele_pol_Latn": 0,
+    "polemo2_in": 0,
+    "polemo2_in_multiple_choice": 0,
+    "polemo2_out": 0,
+    "polemo2_out_multiple_choice": 0,
+    "polish": 0,
+    "polish_8tags_multiple_choice": 0,
+    "polish_8tags_regex": 0,
+    "polish_belebele_regex": 0,
+    "polish_dyk_multiple_choice": 0,
+    "polish_dyk_regex": 0,
+    "polish_ppc_multiple_choice": 0,
+    "polish_ppc_regex": 0,
+    "polish_psc_multiple_choice": 0,
+    "polish_psc_regex": 0
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=models/hf_v7_e2",
+    "batch_size": "1",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}

polish_benchmarks-out10/results_APT3-1B-Instruct-e2-5_polish/results.json

@@ -0,0 +1,747 @@
+{
+  "results": {
+    "polish": {
+      "acc,none": 0.31024878977878106,
+      "acc_stderr,none": 0.027980216827585686,
+      "acc_norm,none": 0.26879152578135684,
+      "acc_norm_stderr,none": 0.034246705086353024,
+      "exact_match,score-first": 0.30242251545043747,
+      "exact_match_stderr,score-first": 0.15362428559916144,
+      "alias": "polish"
+    },
+    "belebele_pol_Latn": {
+      "acc,none": 0.2788888888888889,
+      "acc_stderr,none": 0.014956736888683079,
+      "acc_norm,none": 0.2788888888888889,
+      "acc_norm_stderr,none": 0.014956736888683079,
+      "alias": " - belebele_pol_Latn"
+    },
+    "polemo2_in": {
+      "exact_match,score-first": 0.2880886426592798,
+      "exact_match_stderr,score-first": 0.016865856350741566,
+      "alias": " - polemo2_in"
+    },
+    "polemo2_in_multiple_choice": {
+      "acc,none": 0.29916897506925205,
+      "acc_stderr,none": 0.01705286304111782,
+      "acc_norm,none": 0.2077562326869806,
+      "acc_norm_stderr,none": 0.01510910759802611,
+      "alias": " - polemo2_in_multiple_choice"
+    },
+    "polemo2_out": {
+      "exact_match,score-first": 0.3340080971659919,
+      "exact_match_stderr,score-first": 0.02124171181612737,
+      "alias": " - polemo2_out"
+    },
+    "polemo2_out_multiple_choice": {
+      "acc,none": 0.38461538461538464,
+      "acc_stderr,none": 0.02191104968830336,
+      "acc_norm,none": 0.340080971659919,
+      "acc_norm_stderr,none": 0.02133600145678249,
+      "alias": " - polemo2_out_multiple_choice"
+    },
+    "polish_8tags_multiple_choice": {
+      "acc,none": 0.18275388838060383,
+      "acc_stderr,none": 0.00584546872481264,
+      "acc_norm,none": 0.11665141811527904,
+      "acc_norm_stderr,none": 0.0048553513926815365,
+      "alias": " - polish_8tags_multiple_choice"
+    },
+    "polish_8tags_regex": {
+      "exact_match,score-first": 0.13060384263494967,
+      "exact_match_stderr,score-first": 0.0050967863903210765,
+      "alias": " - polish_8tags_regex"
+    },
+    "polish_belebele_regex": {
+      "exact_match,score-first": 0.2722222222222222,
+      "exact_match_stderr,score-first": 0.01484503879443395,
+      "alias": " - polish_belebele_regex"
+    },
+    "polish_dyk_multiple_choice": {
+      "acc,none": 0.8241010689990281,
+      "acc_stderr,none": 0.011874772046703725,
+      "acc_norm,none": 0.8241010689990281,
+      "acc_norm_stderr,none": 0.011874772046703725,
+      "alias": " - polish_dyk_multiple_choice"
+    },
+    "polish_dyk_regex": {
+      "exact_match,score-first": 0.7570456754130224,
+      "exact_match_stderr,score-first": 0.01337601666202105,
+      "alias": " - polish_dyk_regex"
+    },
+    "polish_ppc_multiple_choice": {
+      "acc,none": 0.434,
+      "acc_stderr,none": 0.015680876566375054,
+      "acc_norm,none": 0.434,
+      "acc_norm_stderr,none": 0.015680876566375054,
+      "alias": " - polish_ppc_multiple_choice"
+    },
+    "polish_ppc_regex": {
+      "exact_match,score-first": 0.372,
+      "exact_match_stderr,score-first": 0.015292149942040577,
+      "alias": " - polish_ppc_regex"
+    },
+    "polish_psc_multiple_choice": {
+      "acc,none": 0.6836734693877551,
+      "acc_stderr,none": 0.01417047215182454,
+      "acc_norm,none": 0.6836734693877551,
+      "acc_norm_stderr,none": 0.01417047215182454,
+      "alias": " - polish_psc_multiple_choice"
+    },
+    "polish_psc_regex": {
+      "exact_match,score-first": 0.6808905380333952,
+      "exact_match_stderr,score-first": 0.014203672130694803,
+      "alias": " - polish_psc_regex"
+    }
+  },
+  "groups": {
+    "polish": {
+      "acc,none": 0.31024878977878106,
+      "acc_stderr,none": 0.027980216827585686,
+      "acc_norm,none": 0.26879152578135684,
+      "acc_norm_stderr,none": 0.034246705086353024,
+      "exact_match,score-first": 0.30242251545043747,
+      "exact_match_stderr,score-first": 0.15362428559916144,
+      "alias": "polish"
+    }
+  },
+  "configs": {
+    "belebele_pol_Latn": {
+      "task": "belebele_pol_Latn",
+      "group": "belebele",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "fewshot_split": "pol_Latn",
+      "doc_to_text": "P: {{flores_passage}}\nQ: {{question.strip()}}\nA: {{mc_answer1}}\nB: {{mc_answer2}}\nC: {{mc_answer3}}\nD: {{mc_answer4}}\nAnswer：",
+      "doc_to_target": "{{['1', '2', '3', '4'].index(correct_answer_num)}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C",
+        "D"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "fewshot_config": {
+        "sampler": "first_n"
+      },
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}}",
+      "metadata": {
+        "version": 0.0
+      }
+    },
+    "polemo2_in": {
+      "task": "polemo2_in",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_in_multiple_choice": {
+      "task": "polemo2_in_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polemo2_out": {
+      "task": "polemo2_out",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_out_multiple_choice": {
+      "task": "polemo2_out_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_multiple_choice": {
+      "task": "polish_8tags_multiple_choice",
+      "dataset_path": "djstrong/8tags",
+      "training_split": "train",
+      "test_split": "test",
+      "fewshot_split": "train",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nDo podanego tytułu przyporządkuj jedną najlepiej pasującą kategorię z podanych: Film, Historia, Jedzenie, Medycyna, Motoryzacja, Praca, Sport, Technologie.\nKategoria:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Film",
+        "Historia",
+        "Jedzenie",
+        "Medycyna",
+        "Motoryzacja",
+        "Praca",
+        "Sport",
+        "Technologie"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_regex": {
+      "task": "polish_8tags_regex",
+      "dataset_path": "sdadas/8tags",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nPytanie: jaka kategoria najlepiej pasuje do podanego tytułu?\nMożliwe odpowiedzi:\nA - film\nB - historia\nC - jedzenie\nD - medycyna\nE - motoryzacja\nF - praca\nG - sport\nH - technologie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D', 4: 'E', 5: 'F', 6: 'G', 7: 'H'}.get(label)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCDEFGH]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_belebele_regex": {
+      "task": "polish_belebele_regex",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "doc_to_text": "Fragment: \"{{flores_passage}}\"\nPytanie: \"{{question}}\"\nMożliwe odpowiedzi:\nA - {{mc_answer1}}\nB - {{mc_answer2}}\nC - {{mc_answer3}}\nD - {{mc_answer4}}\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(correct_answer_num|int - 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{flores_passage}} {{question}} {{mc_answer1}} {{mc_answer2}} {{mc_answer3}} {{mc_answer4}}"
+    },
+    "polish_dyk_multiple_choice": {
+      "task": "polish_dyk_multiple_choice",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nPytanie: Czy sugerowana odpowiedź na zadane pytanie jest poprawna?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{target|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_dyk_regex": {
+      "task": "polish_dyk_regex",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nCzy sugerowana odpowiedź na zadane pytanie jest poprawna? Możliwe opcje:\nA - brakuje sugerowanej odpowiedzi\nB - nie, sugerowana odpowiedź nie jest poprawna\nC - tak, sugerowana odpowiedź jest poprawna\nD - brakuje pytania\nPrawidłowa opcja:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(target|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_ppc_multiple_choice": {
+      "task": "polish_ppc_multiple_choice",
+      "dataset_path": "djstrong/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - znaczą dokładnie to samo\nB - mają podobne znaczenie\nC - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int - 1}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_ppc_regex": {
+      "task": "polish_ppc_regex",
+      "dataset_path": "sdadas/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - znaczą dokładnie to samo\nC - mają podobne znaczenie\nD - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_psc_multiple_choice": {
+      "task": "polish_psc_multiple_choice",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Tekst: \"{{extract_text}}\"\nPodsumowanie: \"{{summary_text}}\"\nPytanie: Czy podsumowanie dla podanego tekstu jest poprawne?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    },
+    "polish_psc_regex": {
+      "task": "polish_psc_regex",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Fragment 1: \"{{extract_text}}\"\nFragment 2: \"{{summary_text}}\"\nPytanie: jaka jest zależność między fragmentami 1 i 2?\nMożliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - dotyczą tego samego artykułu\nC - dotyczą różnych artykułów\nD - brak poprawnej odpowiedzi\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    }
+  },
+  "versions": {
+    "belebele_pol_Latn": 0.0,
+    "polemo2_in": 1.0,
+    "polemo2_in_multiple_choice": "Yaml",
+    "polemo2_out": 1.0,
+    "polemo2_out_multiple_choice": "Yaml",
+    "polish": "N/A",
+    "polish_8tags_multiple_choice": "Yaml",
+    "polish_8tags_regex": "Yaml",
+    "polish_belebele_regex": "Yaml",
+    "polish_dyk_multiple_choice": "Yaml",
+    "polish_dyk_regex": "Yaml",
+    "polish_ppc_multiple_choice": "Yaml",
+    "polish_ppc_regex": "Yaml",
+    "polish_psc_multiple_choice": "Yaml",
+    "polish_psc_regex": "Yaml"
+  },
+  "n-shot": {
+    "belebele_pol_Latn": 5,
+    "polemo2_in": 5,
+    "polemo2_in_multiple_choice": 5,
+    "polemo2_out": 5,
+    "polemo2_out_multiple_choice": 5,
+    "polish": 5,
+    "polish_8tags_multiple_choice": 5,
+    "polish_8tags_regex": 5,
+    "polish_belebele_regex": 5,
+    "polish_dyk_multiple_choice": 5,
+    "polish_dyk_regex": 5,
+    "polish_ppc_multiple_choice": 5,
+    "polish_ppc_regex": 5,
+    "polish_psc_multiple_choice": 5,
+    "polish_psc_regex": 5
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=models/hf_v7_e2",
+    "batch_size": "1",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}

polish_benchmarks-out10/results_Mistral-7B-v0.1-5_polish_generate/results.json

@@ -0,0 +1,422 @@
+{
+  "results": {
+    "polish_generate": {
+      "exact_match,score-first": 0.6642001042209484,
+      "exact_match_stderr,score-first": 0.11767931063786438,
+      "alias": "polish_generate"
+    },
+    "polemo2_in": {
+      "exact_match,score-first": 0.6966759002770083,
+      "exact_match_stderr,score-first": 0.017119899860129042,
+      "alias": " - polemo2_in"
+    },
+    "polemo2_out": {
+      "exact_match,score-first": 0.6336032388663968,
+      "exact_match_stderr,score-first": 0.021700065645408235,
+      "alias": " - polemo2_out"
+    },
+    "polish_8tags_regex": {
+      "exact_match,score-first": 0.7179780420860018,
+      "exact_match_stderr,score-first": 0.006806230292926995,
+      "alias": " - polish_8tags_regex"
+    },
+    "polish_belebele_regex": {
+      "exact_match,score-first": 0.7211111111111111,
+      "exact_match_stderr,score-first": 0.014956736888683079,
+      "alias": " - polish_belebele_regex"
+    },
+    "polish_dyk_regex": {
+      "exact_match,score-first": 0.8328474246841594,
+      "exact_match_stderr,score-first": 0.011637044694546985,
+      "alias": " - polish_dyk_regex"
+    },
+    "polish_ppc_regex": {
+      "exact_match,score-first": 0.538,
+      "exact_match_stderr,score-first": 0.015773547629015106,
+      "alias": " - polish_ppc_regex"
+    },
+    "polish_psc_regex": {
+      "exact_match,score-first": 0.3469387755102041,
+      "exact_match_stderr,score-first": 0.014504258061361417,
+      "alias": " - polish_psc_regex"
+    }
+  },
+  "groups": {
+    "polish_generate": {
+      "exact_match,score-first": 0.6642001042209484,
+      "exact_match_stderr,score-first": 0.11767931063786438,
+      "alias": "polish_generate"
+    }
+  },
+  "configs": {
+    "polemo2_in": {
+      "task": "polemo2_in",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_out": {
+      "task": "polemo2_out",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polish_8tags_regex": {
+      "task": "polish_8tags_regex",
+      "dataset_path": "sdadas/8tags",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nPytanie: jaka kategoria najlepiej pasuje do podanego tytułu?\nMożliwe odpowiedzi:\nA - film\nB - historia\nC - jedzenie\nD - medycyna\nE - motoryzacja\nF - praca\nG - sport\nH - technologie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D', 4: 'E', 5: 'F', 6: 'G', 7: 'H'}.get(label)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCDEFGH]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_belebele_regex": {
+      "task": "polish_belebele_regex",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "doc_to_text": "Fragment: \"{{flores_passage}}\"\nPytanie: \"{{question}}\"\nMożliwe odpowiedzi:\nA - {{mc_answer1}}\nB - {{mc_answer2}}\nC - {{mc_answer3}}\nD - {{mc_answer4}}\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(correct_answer_num|int - 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{flores_passage}} {{question}} {{mc_answer1}} {{mc_answer2}} {{mc_answer3}} {{mc_answer4}}"
+    },
+    "polish_dyk_regex": {
+      "task": "polish_dyk_regex",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nCzy sugerowana odpowiedź na zadane pytanie jest poprawna? Możliwe opcje:\nA - brakuje sugerowanej odpowiedzi\nB - nie, sugerowana odpowiedź nie jest poprawna\nC - tak, sugerowana odpowiedź jest poprawna\nD - brakuje pytania\nPrawidłowa opcja:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(target|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_ppc_regex": {
+      "task": "polish_ppc_regex",
+      "dataset_path": "sdadas/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - znaczą dokładnie to samo\nC - mają podobne znaczenie\nD - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_psc_regex": {
+      "task": "polish_psc_regex",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Fragment 1: \"{{extract_text}}\"\nFragment 2: \"{{summary_text}}\"\nPytanie: jaka jest zależność między fragmentami 1 i 2?\nMożliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - dotyczą tego samego artykułu\nC - dotyczą różnych artykułów\nD - brak poprawnej odpowiedzi\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    }
+  },
+  "versions": {
+    "polemo2_in": 1.0,
+    "polemo2_out": 1.0,
+    "polish_8tags_regex": "Yaml",
+    "polish_belebele_regex": "Yaml",
+    "polish_dyk_regex": "Yaml",
+    "polish_generate": "N/A",
+    "polish_ppc_regex": "Yaml",
+    "polish_psc_regex": "Yaml"
+  },
+  "n-shot": {
+    "polemo2_in": 5,
+    "polemo2_out": 5,
+    "polish_8tags_regex": 5,
+    "polish_belebele_regex": 5,
+    "polish_dyk_regex": 5,
+    "polish_generate": 5,
+    "polish_ppc_regex": 5,
+    "polish_psc_regex": 5
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=mistralai/Mistral-7B-v0.1",
+    "batch_size": "1",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}

polish_benchmarks-out10/results_Mistral-7B-v0.1-5_polish_mc/results.json

@@ -0,0 +1,357 @@
+{
+  "results": {
+    "polish_mc": {
+      "acc,none": 0.718186555497655,
+      "acc_stderr,none": 0.04357151021998618,
+      "acc_norm,none": 0.7141219385096405,
+      "acc_norm_stderr,none": 0.04372608290602946,
+      "alias": "polish_mc"
+    },
+    "belebele_pol_Latn": {
+      "acc,none": 0.6855555555555556,
+      "acc_stderr,none": 0.015485079682471438,
+      "acc_norm,none": 0.6855555555555556,
+      "acc_norm_stderr,none": 0.015485079682471438,
+      "alias": " - belebele_pol_Latn"
+    },
+    "polemo2_in_multiple_choice": {
+      "acc,none": 0.7132963988919667,
+      "acc_stderr,none": 0.01684162361588182,
+      "acc_norm,none": 0.7174515235457064,
+      "acc_norm_stderr,none": 0.016767763260316662,
+      "alias": " - polemo2_in_multiple_choice"
+    },
+    "polemo2_out_multiple_choice": {
+      "acc,none": 0.6902834008097166,
+      "acc_stderr,none": 0.02082439995830139,
+      "acc_norm,none": 0.7145748987854251,
+      "acc_norm_stderr,none": 0.020339791674885366,
+      "alias": " - polemo2_out_multiple_choice"
+    },
+    "polish_8tags_multiple_choice": {
+      "acc,none": 0.72483989021043,
+      "acc_stderr,none": 0.0067549692558673035,
+      "acc_norm,none": 0.7124885635864593,
+      "acc_norm_stderr,none": 0.006845829961519696,
+      "alias": " - polish_8tags_multiple_choice"
+    },
+    "polish_dyk_multiple_choice": {
+      "acc,none": 0.8299319727891157,
+      "acc_stderr,none": 0.011717528745193611,
+      "acc_norm,none": 0.8299319727891157,
+      "acc_norm_stderr,none": 0.011717528745193611,
+      "alias": " - polish_dyk_multiple_choice"
+    },
+    "polish_ppc_multiple_choice": {
+      "acc,none": 0.624,
+      "acc_stderr,none": 0.015325105508898132,
+      "acc_norm,none": 0.624,
+      "acc_norm_stderr,none": 0.015325105508898132,
+      "alias": " - polish_ppc_multiple_choice"
+    },
+    "polish_psc_multiple_choice": {
+      "acc,none": 0.7152133580705009,
+      "acc_stderr,none": 0.013752123513176048,
+      "acc_norm,none": 0.7152133580705009,
+      "acc_norm_stderr,none": 0.013752123513176048,
+      "alias": " - polish_psc_multiple_choice"
+    }
+  },
+  "groups": {
+    "polish_mc": {
+      "acc,none": 0.718186555497655,
+      "acc_stderr,none": 0.04357151021998618,
+      "acc_norm,none": 0.7141219385096405,
+      "acc_norm_stderr,none": 0.04372608290602946,
+      "alias": "polish_mc"
+    }
+  },
+  "configs": {
+    "belebele_pol_Latn": {
+      "task": "belebele_pol_Latn",
+      "group": "belebele",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "fewshot_split": "pol_Latn",
+      "doc_to_text": "P: {{flores_passage}}\nQ: {{question.strip()}}\nA: {{mc_answer1}}\nB: {{mc_answer2}}\nC: {{mc_answer3}}\nD: {{mc_answer4}}\nAnswer：",
+      "doc_to_target": "{{['1', '2', '3', '4'].index(correct_answer_num)}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C",
+        "D"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "fewshot_config": {
+        "sampler": "first_n"
+      },
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}}",
+      "metadata": {
+        "version": 0.0
+      }
+    },
+    "polemo2_in_multiple_choice": {
+      "task": "polemo2_in_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polemo2_out_multiple_choice": {
+      "task": "polemo2_out_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_multiple_choice": {
+      "task": "polish_8tags_multiple_choice",
+      "dataset_path": "djstrong/8tags",
+      "training_split": "train",
+      "test_split": "test",
+      "fewshot_split": "train",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nDo podanego tytułu przyporządkuj jedną najlepiej pasującą kategorię z podanych: Film, Historia, Jedzenie, Medycyna, Motoryzacja, Praca, Sport, Technologie.\nKategoria:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Film",
+        "Historia",
+        "Jedzenie",
+        "Medycyna",
+        "Motoryzacja",
+        "Praca",
+        "Sport",
+        "Technologie"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_dyk_multiple_choice": {
+      "task": "polish_dyk_multiple_choice",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nPytanie: Czy sugerowana odpowiedź na zadane pytanie jest poprawna?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{target|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_ppc_multiple_choice": {
+      "task": "polish_ppc_multiple_choice",
+      "dataset_path": "djstrong/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - znaczą dokładnie to samo\nB - mają podobne znaczenie\nC - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int - 1}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_psc_multiple_choice": {
+      "task": "polish_psc_multiple_choice",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Tekst: \"{{extract_text}}\"\nPodsumowanie: \"{{summary_text}}\"\nPytanie: Czy podsumowanie dla podanego tekstu jest poprawne?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    }
+  },
+  "versions": {
+    "belebele_pol_Latn": 0.0,
+    "polemo2_in_multiple_choice": "Yaml",
+    "polemo2_out_multiple_choice": "Yaml",
+    "polish_8tags_multiple_choice": "Yaml",
+    "polish_dyk_multiple_choice": "Yaml",
+    "polish_mc": "N/A",
+    "polish_ppc_multiple_choice": "Yaml",
+    "polish_psc_multiple_choice": "Yaml"
+  },
+  "n-shot": {
+    "belebele_pol_Latn": 5,
+    "polemo2_in_multiple_choice": 5,
+    "polemo2_out_multiple_choice": 5,
+    "polish_8tags_multiple_choice": 5,
+    "polish_dyk_multiple_choice": 5,
+    "polish_mc": 5,
+    "polish_ppc_multiple_choice": 5,
+    "polish_psc_multiple_choice": 5
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=mistralai/Mistral-7B-v0.1",
+    "batch_size": "1",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}

polish_benchmarks-out10/results_Mistral-7B-v0.1_lora_chp200-5_polish_generate/results.json

@@ -0,0 +1,422 @@
+{
+  "results": {
+    "polish_generate": {
+      "exact_match,score-first": 0.6314747264200105,
+      "exact_match_stderr,score-first": 0.0707242079346716,
+      "alias": "polish_generate"
+    },
+    "polemo2_in": {
+      "exact_match,score-first": 0.7880886426592798,
+      "exact_match_stderr,score-first": 0.015219382031425949,
+      "alias": " - polemo2_in"
+    },
+    "polemo2_out": {
+      "exact_match,score-first": 0.6538461538461539,
+      "exact_match_stderr,score-first": 0.021426385174275118,
+      "alias": " - polemo2_out"
+    },
+    "polish_8tags_regex": {
+      "exact_match,score-first": 0.6790942360475755,
+      "exact_match_stderr,score-first": 0.007060953928205099,
+      "alias": " - polish_8tags_regex"
+    },
+    "polish_belebele_regex": {
+      "exact_match,score-first": 0.5944444444444444,
+      "exact_match_stderr,score-first": 0.016375741266194007,
+      "alias": " - polish_belebele_regex"
+    },
+    "polish_dyk_regex": {
+      "exact_match,score-first": 0.5179786200194364,
+      "exact_match_stderr,score-first": 0.015584486987127225,
+      "alias": " - polish_dyk_regex"
+    },
+    "polish_ppc_regex": {
+      "exact_match,score-first": 0.479,
+      "exact_match_stderr,score-first": 0.015805341148131296,
+      "alias": " - polish_ppc_regex"
+    },
+    "polish_psc_regex": {
+      "exact_match,score-first": 0.6038961038961039,
+      "exact_match_stderr,score-first": 0.014903141306250456,
+      "alias": " - polish_psc_regex"
+    }
+  },
+  "groups": {
+    "polish_generate": {
+      "exact_match,score-first": 0.6314747264200105,
+      "exact_match_stderr,score-first": 0.0707242079346716,
+      "alias": "polish_generate"
+    }
+  },
+  "configs": {
+    "polemo2_in": {
+      "task": "polemo2_in",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_out": {
+      "task": "polemo2_out",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polish_8tags_regex": {
+      "task": "polish_8tags_regex",
+      "dataset_path": "sdadas/8tags",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nPytanie: jaka kategoria najlepiej pasuje do podanego tytułu?\nMożliwe odpowiedzi:\nA - film\nB - historia\nC - jedzenie\nD - medycyna\nE - motoryzacja\nF - praca\nG - sport\nH - technologie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D', 4: 'E', 5: 'F', 6: 'G', 7: 'H'}.get(label)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCDEFGH]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_belebele_regex": {
+      "task": "polish_belebele_regex",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "doc_to_text": "Fragment: \"{{flores_passage}}\"\nPytanie: \"{{question}}\"\nMożliwe odpowiedzi:\nA - {{mc_answer1}}\nB - {{mc_answer2}}\nC - {{mc_answer3}}\nD - {{mc_answer4}}\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(correct_answer_num|int - 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{flores_passage}} {{question}} {{mc_answer1}} {{mc_answer2}} {{mc_answer3}} {{mc_answer4}}"
+    },
+    "polish_dyk_regex": {
+      "task": "polish_dyk_regex",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nCzy sugerowana odpowiedź na zadane pytanie jest poprawna? Możliwe opcje:\nA - brakuje sugerowanej odpowiedzi\nB - nie, sugerowana odpowiedź nie jest poprawna\nC - tak, sugerowana odpowiedź jest poprawna\nD - brakuje pytania\nPrawidłowa opcja:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(target|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_ppc_regex": {
+      "task": "polish_ppc_regex",
+      "dataset_path": "sdadas/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - znaczą dokładnie to samo\nC - mają podobne znaczenie\nD - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_psc_regex": {
+      "task": "polish_psc_regex",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Fragment 1: \"{{extract_text}}\"\nFragment 2: \"{{summary_text}}\"\nPytanie: jaka jest zależność między fragmentami 1 i 2?\nMożliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - dotyczą tego samego artykułu\nC - dotyczą różnych artykułów\nD - brak poprawnej odpowiedzi\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    }
+  },
+  "versions": {
+    "polemo2_in": 1.0,
+    "polemo2_out": 1.0,
+    "polish_8tags_regex": "Yaml",
+    "polish_belebele_regex": "Yaml",
+    "polish_dyk_regex": "Yaml",
+    "polish_generate": "N/A",
+    "polish_ppc_regex": "Yaml",
+    "polish_psc_regex": "Yaml"
+  },
+  "n-shot": {
+    "polemo2_in": 5,
+    "polemo2_out": 5,
+    "polish_8tags_regex": 5,
+    "polish_belebele_regex": 5,
+    "polish_dyk_regex": 5,
+    "polish_generate": 5,
+    "polish_ppc_regex": 5,
+    "polish_psc_regex": 5
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=mistralai/Mistral-7B-v0.1,peft=lora/output/mistral-7b-v0.1-lora-pl/checkpoint-200/adapter_model",
+    "batch_size": "1",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}

polish_benchmarks-out10/results_Mistral-7B-v0.1_lora_chp200-5_polish_mc/results.json

@@ -0,0 +1,357 @@
+{
+  "results": {
+    "polish_mc": {
+      "acc,none": 0.6312662845231891,
+      "acc_stderr,none": 0.10517768892126916,
+      "acc_norm,none": 0.6244919228764981,
+      "acc_norm_stderr,none": 0.10116067524418394,
+      "alias": "polish_mc"
+    },
+    "belebele_pol_Latn": {
+      "acc,none": 0.5466666666666666,
+      "acc_stderr,none": 0.016603141822512064,
+      "acc_norm,none": 0.5466666666666666,
+      "acc_norm_stderr,none": 0.016603141822512064,
+      "alias": " - belebele_pol_Latn"
+    },
+    "polemo2_in_multiple_choice": {
+      "acc,none": 0.7894736842105263,
+      "acc_stderr,none": 0.015182888122718783,
+      "acc_norm,none": 0.7617728531855956,
+      "acc_norm_stderr,none": 0.015865024177194348,
+      "alias": " - polemo2_in_multiple_choice"
+    },
+    "polemo2_out_multiple_choice": {
+      "acc,none": 0.6842105263157895,
+      "acc_stderr,none": 0.02093486866820736,
+      "acc_norm,none": 0.7327935222672065,
+      "acc_norm_stderr,none": 0.019929244821849688,
+      "alias": " - polemo2_out_multiple_choice"
+    },
+    "polish_8tags_multiple_choice": {
+      "acc,none": 0.7335315645013724,
+      "acc_stderr,none": 0.006687162643383958,
+      "acc_norm,none": 0.7177493138151876,
+      "acc_norm_stderr,none": 0.006807905096202593,
+      "alias": " - polish_8tags_multiple_choice"
+    },
+    "polish_dyk_multiple_choice": {
+      "acc,none": 0.4402332361516035,
+      "acc_stderr,none": 0.015482761027859615,
+      "acc_norm,none": 0.4402332361516035,
+      "acc_norm_stderr,none": 0.015482761027859615,
+      "alias": " - polish_dyk_multiple_choice"
+    },
+    "polish_ppc_multiple_choice": {
+      "acc,none": 0.461,
+      "acc_stderr,none": 0.015771104201283186,
+      "acc_norm,none": 0.461,
+      "acc_norm_stderr,none": 0.015771104201283186,
+      "alias": " - polish_ppc_multiple_choice"
+    },
+    "polish_psc_multiple_choice": {
+      "acc,none": 0.4972170686456401,
+      "acc_stderr,none": 0.015235454889651216,
+      "acc_norm,none": 0.4972170686456401,
+      "acc_norm_stderr,none": 0.015235454889651216,
+      "alias": " - polish_psc_multiple_choice"
+    }
+  },
+  "groups": {
+    "polish_mc": {
+      "acc,none": 0.6312662845231891,
+      "acc_stderr,none": 0.10517768892126916,
+      "acc_norm,none": 0.6244919228764981,
+      "acc_norm_stderr,none": 0.10116067524418394,
+      "alias": "polish_mc"
+    }
+  },
+  "configs": {
+    "belebele_pol_Latn": {
+      "task": "belebele_pol_Latn",
+      "group": "belebele",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "fewshot_split": "pol_Latn",
+      "doc_to_text": "P: {{flores_passage}}\nQ: {{question.strip()}}\nA: {{mc_answer1}}\nB: {{mc_answer2}}\nC: {{mc_answer3}}\nD: {{mc_answer4}}\nAnswer：",
+      "doc_to_target": "{{['1', '2', '3', '4'].index(correct_answer_num)}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C",
+        "D"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "fewshot_config": {
+        "sampler": "first_n"
+      },
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}}",
+      "metadata": {
+        "version": 0.0
+      }
+    },
+    "polemo2_in_multiple_choice": {
+      "task": "polemo2_in_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polemo2_out_multiple_choice": {
+      "task": "polemo2_out_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_multiple_choice": {
+      "task": "polish_8tags_multiple_choice",
+      "dataset_path": "djstrong/8tags",
+      "training_split": "train",
+      "test_split": "test",
+      "fewshot_split": "train",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nDo podanego tytułu przyporządkuj jedną najlepiej pasującą kategorię z podanych: Film, Historia, Jedzenie, Medycyna, Motoryzacja, Praca, Sport, Technologie.\nKategoria:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Film",
+        "Historia",
+        "Jedzenie",
+        "Medycyna",
+        "Motoryzacja",
+        "Praca",
+        "Sport",
+        "Technologie"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_dyk_multiple_choice": {
+      "task": "polish_dyk_multiple_choice",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nPytanie: Czy sugerowana odpowiedź na zadane pytanie jest poprawna?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{target|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_ppc_multiple_choice": {
+      "task": "polish_ppc_multiple_choice",
+      "dataset_path": "djstrong/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - znaczą dokładnie to samo\nB - mają podobne znaczenie\nC - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int - 1}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_psc_multiple_choice": {
+      "task": "polish_psc_multiple_choice",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Tekst: \"{{extract_text}}\"\nPodsumowanie: \"{{summary_text}}\"\nPytanie: Czy podsumowanie dla podanego tekstu jest poprawne?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    }
+  },
+  "versions": {
+    "belebele_pol_Latn": 0.0,
+    "polemo2_in_multiple_choice": "Yaml",
+    "polemo2_out_multiple_choice": "Yaml",
+    "polish_8tags_multiple_choice": "Yaml",
+    "polish_dyk_multiple_choice": "Yaml",
+    "polish_mc": "N/A",
+    "polish_ppc_multiple_choice": "Yaml",
+    "polish_psc_multiple_choice": "Yaml"
+  },
+  "n-shot": {
+    "belebele_pol_Latn": 5,
+    "polemo2_in_multiple_choice": 5,
+    "polemo2_out_multiple_choice": 5,
+    "polish_8tags_multiple_choice": 5,
+    "polish_dyk_multiple_choice": 5,
+    "polish_mc": 5,
+    "polish_ppc_multiple_choice": 5,
+    "polish_psc_multiple_choice": 5
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=mistralai/Mistral-7B-v0.1,peft=lora/output/mistral-7b-v0.1-lora-pl/checkpoint-200/adapter_model",
+    "batch_size": "1",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}

polish_benchmarks-out10/results_Mistral-7B-v0.1_lora_chp400-5_polish_generate/results.json

@@ -0,0 +1,422 @@
+{
+  "results": {
+    "polish_generate": {
+      "exact_match,score-first": 0.6364773319437207,
+      "exact_match_stderr,score-first": 0.06182259997601216,
+      "alias": "polish_generate"
+    },
+    "polemo2_in": {
+      "exact_match,score-first": 0.7631578947368421,
+      "exact_match_stderr,score-first": 0.01583321192224942,
+      "alias": " - polemo2_in"
+    },
+    "polemo2_out": {
+      "exact_match,score-first": 0.6437246963562753,
+      "exact_match_stderr,score-first": 0.02156847728252059,
+      "alias": " - polemo2_out"
+    },
+    "polish_8tags_regex": {
+      "exact_match,score-first": 0.6612534309240622,
+      "exact_match_stderr,score-first": 0.007158648172303392,
+      "alias": " - polish_8tags_regex"
+    },
+    "polish_belebele_regex": {
+      "exact_match,score-first": 0.6055555555555555,
+      "exact_match_stderr,score-first": 0.016300092627924964,
+      "alias": " - polish_belebele_regex"
+    },
+    "polish_dyk_regex": {
+      "exact_match,score-first": 0.6073858114674441,
+      "exact_match_stderr,score-first": 0.015230661256517303,
+      "alias": " - polish_dyk_regex"
+    },
+    "polish_ppc_regex": {
+      "exact_match,score-first": 0.455,
+      "exact_match_stderr,score-first": 0.01575510149834709,
+      "alias": " - polish_ppc_regex"
+    },
+    "polish_psc_regex": {
+      "exact_match,score-first": 0.6697588126159555,
+      "exact_match_stderr,score-first": 0.014330686165019315,
+      "alias": " - polish_psc_regex"
+    }
+  },
+  "groups": {
+    "polish_generate": {
+      "exact_match,score-first": 0.6364773319437207,
+      "exact_match_stderr,score-first": 0.06182259997601216,
+      "alias": "polish_generate"
+    }
+  },
+  "configs": {
+    "polemo2_in": {
+      "task": "polemo2_in",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_out": {
+      "task": "polemo2_out",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polish_8tags_regex": {
+      "task": "polish_8tags_regex",
+      "dataset_path": "sdadas/8tags",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nPytanie: jaka kategoria najlepiej pasuje do podanego tytułu?\nMożliwe odpowiedzi:\nA - film\nB - historia\nC - jedzenie\nD - medycyna\nE - motoryzacja\nF - praca\nG - sport\nH - technologie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D', 4: 'E', 5: 'F', 6: 'G', 7: 'H'}.get(label)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCDEFGH]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_belebele_regex": {
+      "task": "polish_belebele_regex",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "doc_to_text": "Fragment: \"{{flores_passage}}\"\nPytanie: \"{{question}}\"\nMożliwe odpowiedzi:\nA - {{mc_answer1}}\nB - {{mc_answer2}}\nC - {{mc_answer3}}\nD - {{mc_answer4}}\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(correct_answer_num|int - 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{flores_passage}} {{question}} {{mc_answer1}} {{mc_answer2}} {{mc_answer3}} {{mc_answer4}}"
+    },
+    "polish_dyk_regex": {
+      "task": "polish_dyk_regex",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nCzy sugerowana odpowiedź na zadane pytanie jest poprawna? Możliwe opcje:\nA - brakuje sugerowanej odpowiedzi\nB - nie, sugerowana odpowiedź nie jest poprawna\nC - tak, sugerowana odpowiedź jest poprawna\nD - brakuje pytania\nPrawidłowa opcja:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(target|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_ppc_regex": {
+      "task": "polish_ppc_regex",
+      "dataset_path": "sdadas/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - znaczą dokładnie to samo\nC - mają podobne znaczenie\nD - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_psc_regex": {
+      "task": "polish_psc_regex",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Fragment 1: \"{{extract_text}}\"\nFragment 2: \"{{summary_text}}\"\nPytanie: jaka jest zależność między fragmentami 1 i 2?\nMożliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - dotyczą tego samego artykułu\nC - dotyczą różnych artykułów\nD - brak poprawnej odpowiedzi\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    }
+  },
+  "versions": {
+    "polemo2_in": 1.0,
+    "polemo2_out": 1.0,
+    "polish_8tags_regex": "Yaml",
+    "polish_belebele_regex": "Yaml",
+    "polish_dyk_regex": "Yaml",
+    "polish_generate": "N/A",
+    "polish_ppc_regex": "Yaml",
+    "polish_psc_regex": "Yaml"
+  },
+  "n-shot": {
+    "polemo2_in": 5,
+    "polemo2_out": 5,
+    "polish_8tags_regex": 5,
+    "polish_belebele_regex": 5,
+    "polish_dyk_regex": 5,
+    "polish_generate": 5,
+    "polish_ppc_regex": 5,
+    "polish_psc_regex": 5
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=mistralai/Mistral-7B-v0.1,peft=lora/output/mistral-7b-v0.1-lora-pl/checkpoint-400/adapter_model",
+    "batch_size": "1",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}

polish_benchmarks-out10/results_Mistral-7B-v0.1_lora_chp400-5_polish_mc/results.json

@@ -0,0 +1,357 @@
+{
+  "results": {
+    "polish_mc": {
+      "acc,none": 0.6686816050026055,
+      "acc_stderr,none": 0.0642513149668469,
+      "acc_norm,none": 0.6594059405940594,
+      "acc_norm_stderr,none": 0.060466983153738094,
+      "alias": "polish_mc"
+    },
+    "belebele_pol_Latn": {
+      "acc,none": 0.5255555555555556,
+      "acc_stderr,none": 0.016654137753608793,
+      "acc_norm,none": 0.5255555555555556,
+      "acc_norm_stderr,none": 0.016654137753608793,
+      "alias": " - belebele_pol_Latn"
+    },
+    "polemo2_in_multiple_choice": {
+      "acc,none": 0.8213296398891967,
+      "acc_stderr,none": 0.014266497739018441,
+      "acc_norm,none": 0.7908587257617729,
+      "acc_norm_stderr,none": 0.015146130619525858,
+      "alias": " - polemo2_in_multiple_choice"
+    },
+    "polemo2_out_multiple_choice": {
+      "acc,none": 0.6558704453441295,
+      "acc_stderr,none": 0.02139668816045485,
+      "acc_norm,none": 0.6821862348178138,
+      "acc_norm_stderr,none": 0.020970769565086225,
+      "alias": " - polemo2_out_multiple_choice"
+    },
+    "polish_8tags_multiple_choice": {
+      "acc,none": 0.7047118023787741,
+      "acc_stderr,none": 0.006899830368155602,
+      "acc_norm,none": 0.6864135407136323,
+      "acc_norm_stderr,none": 0.007017479758060964,
+      "alias": " - polish_8tags_multiple_choice"
+    },
+    "polish_dyk_multiple_choice": {
+      "acc,none": 0.7482993197278912,
+      "acc_stderr,none": 0.013535780793703692,
+      "acc_norm,none": 0.7482993197278912,
+      "acc_norm_stderr,none": 0.013535780793703692,
+      "alias": " - polish_dyk_multiple_choice"
+    },
+    "polish_ppc_multiple_choice": {
+      "acc,none": 0.524,
+      "acc_stderr,none": 0.015801065586651755,
+      "acc_norm,none": 0.524,
+      "acc_norm_stderr,none": 0.015801065586651755,
+      "alias": " - polish_ppc_multiple_choice"
+    },
+    "polish_psc_multiple_choice": {
+      "acc,none": 0.6038961038961039,
+      "acc_stderr,none": 0.01490314130625046,
+      "acc_norm,none": 0.6038961038961039,
+      "acc_norm_stderr,none": 0.01490314130625046,
+      "alias": " - polish_psc_multiple_choice"
+    }
+  },
+  "groups": {
+    "polish_mc": {
+      "acc,none": 0.6686816050026055,
+      "acc_stderr,none": 0.0642513149668469,
+      "acc_norm,none": 0.6594059405940594,
+      "acc_norm_stderr,none": 0.060466983153738094,
+      "alias": "polish_mc"
+    }
+  },
+  "configs": {
+    "belebele_pol_Latn": {
+      "task": "belebele_pol_Latn",
+      "group": "belebele",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "fewshot_split": "pol_Latn",
+      "doc_to_text": "P: {{flores_passage}}\nQ: {{question.strip()}}\nA: {{mc_answer1}}\nB: {{mc_answer2}}\nC: {{mc_answer3}}\nD: {{mc_answer4}}\nAnswer：",
+      "doc_to_target": "{{['1', '2', '3', '4'].index(correct_answer_num)}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C",
+        "D"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "fewshot_config": {
+        "sampler": "first_n"
+      },
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}}",
+      "metadata": {
+        "version": 0.0
+      }
+    },
+    "polemo2_in_multiple_choice": {
+      "task": "polemo2_in_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polemo2_out_multiple_choice": {
+      "task": "polemo2_out_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_multiple_choice": {
+      "task": "polish_8tags_multiple_choice",
+      "dataset_path": "djstrong/8tags",
+      "training_split": "train",
+      "test_split": "test",
+      "fewshot_split": "train",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nDo podanego tytułu przyporządkuj jedną najlepiej pasującą kategorię z podanych: Film, Historia, Jedzenie, Medycyna, Motoryzacja, Praca, Sport, Technologie.\nKategoria:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Film",
+        "Historia",
+        "Jedzenie",
+        "Medycyna",
+        "Motoryzacja",
+        "Praca",
+        "Sport",
+        "Technologie"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_dyk_multiple_choice": {
+      "task": "polish_dyk_multiple_choice",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nPytanie: Czy sugerowana odpowiedź na zadane pytanie jest poprawna?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{target|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_ppc_multiple_choice": {
+      "task": "polish_ppc_multiple_choice",
+      "dataset_path": "djstrong/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - znaczą dokładnie to samo\nB - mają podobne znaczenie\nC - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int - 1}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_psc_multiple_choice": {
+      "task": "polish_psc_multiple_choice",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Tekst: \"{{extract_text}}\"\nPodsumowanie: \"{{summary_text}}\"\nPytanie: Czy podsumowanie dla podanego tekstu jest poprawne?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    }
+  },
+  "versions": {
+    "belebele_pol_Latn": 0.0,
+    "polemo2_in_multiple_choice": "Yaml",
+    "polemo2_out_multiple_choice": "Yaml",
+    "polish_8tags_multiple_choice": "Yaml",
+    "polish_dyk_multiple_choice": "Yaml",
+    "polish_mc": "N/A",
+    "polish_ppc_multiple_choice": "Yaml",
+    "polish_psc_multiple_choice": "Yaml"
+  },
+  "n-shot": {
+    "belebele_pol_Latn": 5,
+    "polemo2_in_multiple_choice": 5,
+    "polemo2_out_multiple_choice": 5,
+    "polish_8tags_multiple_choice": 5,
+    "polish_dyk_multiple_choice": 5,
+    "polish_mc": 5,
+    "polish_ppc_multiple_choice": 5,
+    "polish_psc_multiple_choice": 5
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=mistralai/Mistral-7B-v0.1,peft=lora/output/mistral-7b-v0.1-lora-pl/checkpoint-400/adapter_model",
+    "batch_size": "1",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}

polish_benchmarks-out10/results_Mistral-7B-v0.1_lora_chp600-5_polish_generate/results.json

@@ -0,0 +1,422 @@
+{
+  "results": {
+    "polish_generate": {
+      "exact_match,score-first": 0.5759249609171443,
+      "exact_match_stderr,score-first": 0.10324718697560364,
+      "alias": "polish_generate"
+    },
+    "polemo2_in": {
+      "exact_match,score-first": 0.7617728531855956,
+      "exact_match_stderr,score-first": 0.01586502417719433,
+      "alias": " - polemo2_in"
+    },
+    "polemo2_out": {
+      "exact_match,score-first": 0.6619433198380567,
+      "exact_match_stderr,score-first": 0.02130500808478033,
+      "alias": " - polemo2_out"
+    },
+    "polish_8tags_regex": {
+      "exact_match,score-first": 0.6338060384263495,
+      "exact_match_stderr,score-first": 0.007286909441339264,
+      "alias": " - polish_8tags_regex"
+    },
+    "polish_belebele_regex": {
+      "exact_match,score-first": 0.5633333333333334,
+      "exact_match_stderr,score-first": 0.016541614656655053,
+      "alias": " - polish_belebele_regex"
+    },
+    "polish_dyk_regex": {
+      "exact_match,score-first": 0.28765792031098153,
+      "exact_match_stderr,score-first": 0.014118413935558783,
+      "alias": " - polish_dyk_regex"
+    },
+    "polish_ppc_regex": {
+      "exact_match,score-first": 0.458,
+      "exact_match_stderr,score-first": 0.015763390640483706,
+      "alias": " - polish_ppc_regex"
+    },
+    "polish_psc_regex": {
+      "exact_match,score-first": 0.5723562152133581,
+      "exact_match_stderr,score-first": 0.015075316273392174,
+      "alias": " - polish_psc_regex"
+    }
+  },
+  "groups": {
+    "polish_generate": {
+      "exact_match,score-first": 0.5759249609171443,
+      "exact_match_stderr,score-first": 0.10324718697560364,
+      "alias": "polish_generate"
+    }
+  },
+  "configs": {
+    "polemo2_in": {
+      "task": "polemo2_in",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_out": {
+      "task": "polemo2_out",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polish_8tags_regex": {
+      "task": "polish_8tags_regex",
+      "dataset_path": "sdadas/8tags",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nPytanie: jaka kategoria najlepiej pasuje do podanego tytułu?\nMożliwe odpowiedzi:\nA - film\nB - historia\nC - jedzenie\nD - medycyna\nE - motoryzacja\nF - praca\nG - sport\nH - technologie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D', 4: 'E', 5: 'F', 6: 'G', 7: 'H'}.get(label)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCDEFGH]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_belebele_regex": {
+      "task": "polish_belebele_regex",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "doc_to_text": "Fragment: \"{{flores_passage}}\"\nPytanie: \"{{question}}\"\nMożliwe odpowiedzi:\nA - {{mc_answer1}}\nB - {{mc_answer2}}\nC - {{mc_answer3}}\nD - {{mc_answer4}}\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(correct_answer_num|int - 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{flores_passage}} {{question}} {{mc_answer1}} {{mc_answer2}} {{mc_answer3}} {{mc_answer4}}"
+    },
+    "polish_dyk_regex": {
+      "task": "polish_dyk_regex",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nCzy sugerowana odpowiedź na zadane pytanie jest poprawna? Możliwe opcje:\nA - brakuje sugerowanej odpowiedzi\nB - nie, sugerowana odpowiedź nie jest poprawna\nC - tak, sugerowana odpowiedź jest poprawna\nD - brakuje pytania\nPrawidłowa opcja:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(target|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_ppc_regex": {
+      "task": "polish_ppc_regex",
+      "dataset_path": "sdadas/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - znaczą dokładnie to samo\nC - mają podobne znaczenie\nD - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_psc_regex": {
+      "task": "polish_psc_regex",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Fragment 1: \"{{extract_text}}\"\nFragment 2: \"{{summary_text}}\"\nPytanie: jaka jest zależność między fragmentami 1 i 2?\nMożliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - dotyczą tego samego artykułu\nC - dotyczą różnych artykułów\nD - brak poprawnej odpowiedzi\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    }
+  },
+  "versions": {
+    "polemo2_in": 1.0,
+    "polemo2_out": 1.0,
+    "polish_8tags_regex": "Yaml",
+    "polish_belebele_regex": "Yaml",
+    "polish_dyk_regex": "Yaml",
+    "polish_generate": "N/A",
+    "polish_ppc_regex": "Yaml",
+    "polish_psc_regex": "Yaml"
+  },
+  "n-shot": {
+    "polemo2_in": 5,
+    "polemo2_out": 5,
+    "polish_8tags_regex": 5,
+    "polish_belebele_regex": 5,
+    "polish_dyk_regex": 5,
+    "polish_generate": 5,
+    "polish_ppc_regex": 5,
+    "polish_psc_regex": 5
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=mistralai/Mistral-7B-v0.1,peft=lora/output/mistral-7b-v0.1-lora-pl/checkpoint-600/adapter_model",
+    "batch_size": "1",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}

polish_benchmarks-out10/results_Mistral-7B-v0.1_lora_chp600-5_polish_mc/results.json

@@ -0,0 +1,357 @@
+{
+  "results": {
+    "polish_mc": {
+      "acc,none": 0.6551328817092236,
+      "acc_stderr,none": 0.06798975937561243,
+      "acc_norm,none": 0.6501302761855133,
+      "acc_norm_stderr,none": 0.06581469456865614,
+      "alias": "polish_mc"
+    },
+    "belebele_pol_Latn": {
+      "acc,none": 0.53,
+      "acc_stderr,none": 0.01664588990480914,
+      "acc_norm,none": 0.53,
+      "acc_norm_stderr,none": 0.01664588990480914,
+      "alias": " - belebele_pol_Latn"
+    },
+    "polemo2_in_multiple_choice": {
+      "acc,none": 0.778393351800554,
+      "acc_stderr,none": 0.01546761377296944,
+      "acc_norm,none": 0.7645429362880887,
+      "acc_norm_stderr,none": 0.015801167237739118,
+      "alias": " - polemo2_in_multiple_choice"
+    },
+    "polemo2_out_multiple_choice": {
+      "acc,none": 0.6659919028340081,
+      "acc_stderr,none": 0.021241711816127367,
+      "acc_norm,none": 0.6862348178137652,
+      "acc_norm_stderr,none": 0.02089850837742652,
+      "alias": " - polemo2_out_multiple_choice"
+    },
+    "polish_8tags_multiple_choice": {
+      "acc,none": 0.7053979871912168,
+      "acc_stderr,none": 0.0068951633560859794,
+      "acc_norm,none": 0.6944190301921317,
+      "acc_norm_stderr,none": 0.0069676055457865435,
+      "alias": " - polish_8tags_multiple_choice"
+    },
+    "polish_dyk_multiple_choice": {
+      "acc,none": 0.7006802721088435,
+      "acc_stderr,none": 0.014283382238037845,
+      "acc_norm,none": 0.7006802721088435,
+      "acc_norm_stderr,none": 0.014283382238037845,
+      "alias": " - polish_dyk_multiple_choice"
+    },
+    "polish_ppc_multiple_choice": {
+      "acc,none": 0.479,
+      "acc_stderr,none": 0.015805341148131296,
+      "acc_norm,none": 0.479,
+      "acc_norm_stderr,none": 0.015805341148131296,
+      "alias": " - polish_ppc_multiple_choice"
+    },
+    "polish_psc_multiple_choice": {
+      "acc,none": 0.588126159554731,
+      "acc_stderr,none": 0.014997176459791971,
+      "acc_norm,none": 0.588126159554731,
+      "acc_norm_stderr,none": 0.014997176459791971,
+      "alias": " - polish_psc_multiple_choice"
+    }
+  },
+  "groups": {
+    "polish_mc": {
+      "acc,none": 0.6551328817092236,
+      "acc_stderr,none": 0.06798975937561243,
+      "acc_norm,none": 0.6501302761855133,
+      "acc_norm_stderr,none": 0.06581469456865614,
+      "alias": "polish_mc"
+    }
+  },
+  "configs": {
+    "belebele_pol_Latn": {
+      "task": "belebele_pol_Latn",
+      "group": "belebele",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "fewshot_split": "pol_Latn",
+      "doc_to_text": "P: {{flores_passage}}\nQ: {{question.strip()}}\nA: {{mc_answer1}}\nB: {{mc_answer2}}\nC: {{mc_answer3}}\nD: {{mc_answer4}}\nAnswer：",
+      "doc_to_target": "{{['1', '2', '3', '4'].index(correct_answer_num)}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C",
+        "D"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "fewshot_config": {
+        "sampler": "first_n"
+      },
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}}",
+      "metadata": {
+        "version": 0.0
+      }
+    },
+    "polemo2_in_multiple_choice": {
+      "task": "polemo2_in_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polemo2_out_multiple_choice": {
+      "task": "polemo2_out_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_multiple_choice": {
+      "task": "polish_8tags_multiple_choice",
+      "dataset_path": "djstrong/8tags",
+      "training_split": "train",
+      "test_split": "test",
+      "fewshot_split": "train",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nDo podanego tytułu przyporządkuj jedną najlepiej pasującą kategorię z podanych: Film, Historia, Jedzenie, Medycyna, Motoryzacja, Praca, Sport, Technologie.\nKategoria:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Film",
+        "Historia",
+        "Jedzenie",
+        "Medycyna",
+        "Motoryzacja",
+        "Praca",
+        "Sport",
+        "Technologie"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_dyk_multiple_choice": {
+      "task": "polish_dyk_multiple_choice",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nPytanie: Czy sugerowana odpowiedź na zadane pytanie jest poprawna?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{target|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_ppc_multiple_choice": {
+      "task": "polish_ppc_multiple_choice",
+      "dataset_path": "djstrong/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - znaczą dokładnie to samo\nB - mają podobne znaczenie\nC - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int - 1}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_psc_multiple_choice": {
+      "task": "polish_psc_multiple_choice",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Tekst: \"{{extract_text}}\"\nPodsumowanie: \"{{summary_text}}\"\nPytanie: Czy podsumowanie dla podanego tekstu jest poprawne?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    }
+  },
+  "versions": {
+    "belebele_pol_Latn": 0.0,
+    "polemo2_in_multiple_choice": "Yaml",
+    "polemo2_out_multiple_choice": "Yaml",
+    "polish_8tags_multiple_choice": "Yaml",
+    "polish_dyk_multiple_choice": "Yaml",
+    "polish_mc": "N/A",
+    "polish_ppc_multiple_choice": "Yaml",
+    "polish_psc_multiple_choice": "Yaml"
+  },
+  "n-shot": {
+    "belebele_pol_Latn": 5,
+    "polemo2_in_multiple_choice": 5,
+    "polemo2_out_multiple_choice": 5,
+    "polish_8tags_multiple_choice": 5,
+    "polish_dyk_multiple_choice": 5,
+    "polish_mc": 5,
+    "polish_ppc_multiple_choice": 5,
+    "polish_psc_multiple_choice": 5
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=mistralai/Mistral-7B-v0.1,peft=lora/output/mistral-7b-v0.1-lora-pl/checkpoint-600/adapter_model",
+    "batch_size": "1",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}

polish_benchmarks-out11/results_Mistral-7B-v0.1_lora_chp2000-0_polish/results.json

@@ -0,0 +1,747 @@
+{
+  "results": {
+    "polish": {
+      "acc,none": 0.5413241163615681,
+      "acc_stderr,none": 0.01084163176793659,
+      "acc_norm,none": 0.530481610196644,
+      "acc_norm_stderr,none": 0.008601325987021305,
+      "exact_match,score-first": 0.35592888097277775,
+      "exact_match_stderr,score-first": 0.08551675449050326,
+      "alias": "polish"
+    },
+    "belebele_pol_Latn": {
+      "acc,none": 0.3022222222222222,
+      "acc_stderr,none": 0.01531587871597198,
+      "acc_norm,none": 0.3022222222222222,
+      "acc_norm_stderr,none": 0.01531587871597198,
+      "alias": " - belebele_pol_Latn"
+    },
+    "polemo2_in": {
+      "exact_match,score-first": 0.3268698060941828,
+      "exact_match_stderr,score-first": 0.017469050736806633,
+      "alias": " - polemo2_in"
+    },
+    "polemo2_in_multiple_choice": {
+      "acc,none": 0.649584487534626,
+      "acc_stderr,none": 0.017768135276145475,
+      "acc_norm,none": 0.4903047091412742,
+      "acc_norm_stderr,none": 0.018617472045761484,
+      "alias": " - polemo2_in_multiple_choice"
+    },
+    "polemo2_out": {
+      "exact_match,score-first": 0.4716599190283401,
+      "exact_match_stderr,score-first": 0.022482665840761362,
+      "alias": " - polemo2_out"
+    },
+    "polemo2_out_multiple_choice": {
+      "acc,none": 0.3441295546558704,
+      "acc_stderr,none": 0.02139668816045485,
+      "acc_norm,none": 0.48785425101214575,
+      "acc_norm_stderr,none": 0.022512222543699473,
+      "alias": " - polemo2_out_multiple_choice"
+    },
+    "polish_8tags_multiple_choice": {
+      "acc,none": 0.6788655077767612,
+      "acc_stderr,none": 0.007062280219959377,
+      "acc_norm,none": 0.6710887465690759,
+      "acc_norm_stderr,none": 0.0071062247886994456,
+      "alias": " - polish_8tags_multiple_choice"
+    },
+    "polish_8tags_regex": {
+      "exact_match,score-first": 0.3369167429094236,
+      "exact_match_stderr,score-first": 0.007149158481943187,
+      "alias": " - polish_8tags_regex"
+    },
+    "polish_belebele_regex": {
+      "exact_match,score-first": 0.3622222222222222,
+      "exact_match_stderr,score-first": 0.01603032734626063,
+      "alias": " - polish_belebele_regex"
+    },
+    "polish_dyk_multiple_choice": {
+      "acc,none": 0.3556851311953353,
+      "acc_stderr,none": 0.014930878960690992,
+      "acc_norm,none": 0.3556851311953353,
+      "acc_norm_stderr,none": 0.014930878960690992,
+      "alias": " - polish_dyk_multiple_choice"
+    },
+    "polish_dyk_regex": {
+      "exact_match,score-first": 0.18658892128279883,
+      "exact_match_stderr,score-first": 0.012150703160439388,
+      "alias": " - polish_dyk_regex"
+    },
+    "polish_ppc_multiple_choice": {
+      "acc,none": 0.396,
+      "acc_stderr,none": 0.01547331326585941,
+      "acc_norm,none": 0.396,
+      "acc_norm_stderr,none": 0.01547331326585941,
+      "alias": " - polish_ppc_multiple_choice"
+    },
+    "polish_ppc_regex": {
+      "exact_match,score-first": 0.362,
+      "exact_match_stderr,score-first": 0.015204840912919501,
+      "alias": " - polish_ppc_regex"
+    },
+    "polish_psc_multiple_choice": {
+      "acc,none": 0.6567717996289425,
+      "acc_stderr,none": 0.014467412965736809,
+      "acc_norm,none": 0.6567717996289425,
+      "acc_norm_stderr,none": 0.014467412965736809,
+      "alias": " - polish_psc_multiple_choice"
+    },
+    "polish_psc_regex": {
+      "exact_match,score-first": 0.6549165120593692,
+      "exact_match_stderr,score-first": 0.014485957542249024,
+      "alias": " - polish_psc_regex"
+    }
+  },
+  "groups": {
+    "polish": {
+      "acc,none": 0.5413241163615681,
+      "acc_stderr,none": 0.01084163176793659,
+      "acc_norm,none": 0.530481610196644,
+      "acc_norm_stderr,none": 0.008601325987021305,
+      "exact_match,score-first": 0.35592888097277775,
+      "exact_match_stderr,score-first": 0.08551675449050326,
+      "alias": "polish"
+    }
+  },
+  "configs": {
+    "belebele_pol_Latn": {
+      "task": "belebele_pol_Latn",
+      "group": "belebele",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "fewshot_split": "pol_Latn",
+      "doc_to_text": "P: {{flores_passage}}\nQ: {{question.strip()}}\nA: {{mc_answer1}}\nB: {{mc_answer2}}\nC: {{mc_answer3}}\nD: {{mc_answer4}}\nAnswer：",
+      "doc_to_target": "{{['1', '2', '3', '4'].index(correct_answer_num)}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C",
+        "D"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "fewshot_config": {
+        "sampler": "first_n"
+      },
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}}",
+      "metadata": {
+        "version": 0.0
+      }
+    },
+    "polemo2_in": {
+      "task": "polemo2_in",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_in_multiple_choice": {
+      "task": "polemo2_in_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polemo2_out": {
+      "task": "polemo2_out",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_out_multiple_choice": {
+      "task": "polemo2_out_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_multiple_choice": {
+      "task": "polish_8tags_multiple_choice",
+      "dataset_path": "djstrong/8tags",
+      "training_split": "train",
+      "test_split": "test",
+      "fewshot_split": "train",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nDo podanego tytułu przyporządkuj jedną najlepiej pasującą kategorię z podanych: Film, Historia, Jedzenie, Medycyna, Motoryzacja, Praca, Sport, Technologie.\nKategoria:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Film",
+        "Historia",
+        "Jedzenie",
+        "Medycyna",
+        "Motoryzacja",
+        "Praca",
+        "Sport",
+        "Technologie"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_regex": {
+      "task": "polish_8tags_regex",
+      "dataset_path": "sdadas/8tags",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nPytanie: jaka kategoria najlepiej pasuje do podanego tytułu?\nMożliwe odpowiedzi:\nA - film\nB - historia\nC - jedzenie\nD - medycyna\nE - motoryzacja\nF - praca\nG - sport\nH - technologie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D', 4: 'E', 5: 'F', 6: 'G', 7: 'H'}.get(label)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCDEFGH]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_belebele_regex": {
+      "task": "polish_belebele_regex",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "doc_to_text": "Fragment: \"{{flores_passage}}\"\nPytanie: \"{{question}}\"\nMożliwe odpowiedzi:\nA - {{mc_answer1}}\nB - {{mc_answer2}}\nC - {{mc_answer3}}\nD - {{mc_answer4}}\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(correct_answer_num|int - 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{flores_passage}} {{question}} {{mc_answer1}} {{mc_answer2}} {{mc_answer3}} {{mc_answer4}}"
+    },
+    "polish_dyk_multiple_choice": {
+      "task": "polish_dyk_multiple_choice",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nPytanie: Czy sugerowana odpowiedź na zadane pytanie jest poprawna?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{target|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_dyk_regex": {
+      "task": "polish_dyk_regex",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nCzy sugerowana odpowiedź na zadane pytanie jest poprawna? Możliwe opcje:\nA - brakuje sugerowanej odpowiedzi\nB - nie, sugerowana odpowiedź nie jest poprawna\nC - tak, sugerowana odpowiedź jest poprawna\nD - brakuje pytania\nPrawidłowa opcja:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(target|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_ppc_multiple_choice": {
+      "task": "polish_ppc_multiple_choice",
+      "dataset_path": "djstrong/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - znaczą dokładnie to samo\nB - mają podobne znaczenie\nC - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int - 1}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_ppc_regex": {
+      "task": "polish_ppc_regex",
+      "dataset_path": "sdadas/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - znaczą dokładnie to samo\nC - mają podobne znaczenie\nD - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_psc_multiple_choice": {
+      "task": "polish_psc_multiple_choice",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Tekst: \"{{extract_text}}\"\nPodsumowanie: \"{{summary_text}}\"\nPytanie: Czy podsumowanie dla podanego tekstu jest poprawne?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    },
+    "polish_psc_regex": {
+      "task": "polish_psc_regex",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Fragment 1: \"{{extract_text}}\"\nFragment 2: \"{{summary_text}}\"\nPytanie: jaka jest zależność między fragmentami 1 i 2?\nMożliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - dotyczą tego samego artykułu\nC - dotyczą różnych artykułów\nD - brak poprawnej odpowiedzi\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    }
+  },
+  "versions": {
+    "belebele_pol_Latn": 0.0,
+    "polemo2_in": 1.0,
+    "polemo2_in_multiple_choice": "Yaml",
+    "polemo2_out": 1.0,
+    "polemo2_out_multiple_choice": "Yaml",
+    "polish": "N/A",
+    "polish_8tags_multiple_choice": "Yaml",
+    "polish_8tags_regex": "Yaml",
+    "polish_belebele_regex": "Yaml",
+    "polish_dyk_multiple_choice": "Yaml",
+    "polish_dyk_regex": "Yaml",
+    "polish_ppc_multiple_choice": "Yaml",
+    "polish_ppc_regex": "Yaml",
+    "polish_psc_multiple_choice": "Yaml",
+    "polish_psc_regex": "Yaml"
+  },
+  "n-shot": {
+    "belebele_pol_Latn": 0,
+    "polemo2_in": 0,
+    "polemo2_in_multiple_choice": 0,
+    "polemo2_out": 0,
+    "polemo2_out_multiple_choice": 0,
+    "polish": 0,
+    "polish_8tags_multiple_choice": 0,
+    "polish_8tags_regex": 0,
+    "polish_belebele_regex": 0,
+    "polish_dyk_multiple_choice": 0,
+    "polish_dyk_regex": 0,
+    "polish_ppc_multiple_choice": 0,
+    "polish_ppc_regex": 0,
+    "polish_psc_multiple_choice": 0,
+    "polish_psc_regex": 0
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=mistralai/Mistral-7B-v0.1,peft=lora/output/mistral-7b-v0.1-lora-pl/checkpoint-2000/adapter_model",
+    "batch_size": "1",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}

polish_benchmarks-out11/results_Mistral-7B-v0.1_lora_chp2000-5_polish/results.json

@@ -0,0 +1,747 @@
+{
+  "results": {
+    "polish": {
+      "acc,none": 0.6244787172748504,
+      "acc_stderr,none": 0.007957885214651855,
+      "acc_norm,none": 0.6190519895959236,
+      "acc_norm_stderr,none": 0.007105848761469819,
+      "exact_match,score-first": 0.6531831123790377,
+      "exact_match_stderr,score-first": 0.10636173828524938,
+      "alias": "polish"
+    },
+    "belebele_pol_Latn": {
+      "acc,none": 0.43,
+      "acc_stderr,none": 0.016511700775931788,
+      "acc_norm,none": 0.43,
+      "acc_norm_stderr,none": 0.016511700775931788,
+      "alias": " - belebele_pol_Latn"
+    },
+    "polemo2_in": {
+      "exact_match,score-first": 0.7950138504155124,
+      "exact_match_stderr,score-first": 0.01503425713972699,
+      "alias": " - polemo2_in"
+    },
+    "polemo2_in_multiple_choice": {
+      "acc,none": 0.7548476454293629,
+      "acc_stderr,none": 0.016020647115740538,
+      "acc_norm,none": 0.6814404432132964,
+      "acc_norm_stderr,none": 0.017351684380922532,
+      "alias": " - polemo2_in_multiple_choice"
+    },
+    "polemo2_out": {
+      "exact_match,score-first": 0.6295546558704453,
+      "exact_match_stderr,score-first": 0.02174980315792073,
+      "alias": " - polemo2_out"
+    },
+    "polemo2_out_multiple_choice": {
+      "acc,none": 0.6497975708502024,
+      "acc_stderr,none": 0.021484495459914727,
+      "acc_norm,none": 0.645748987854251,
+      "acc_norm_stderr,none": 0.021540905590766254,
+      "alias": " - polemo2_out_multiple_choice"
+    },
+    "polish_8tags_multiple_choice": {
+      "acc,none": 0.6749771271729186,
+      "acc_stderr,none": 0.00708453070961662,
+      "acc_norm,none": 0.6784080512351327,
+      "acc_norm_stderr,none": 0.007064926974077679,
+      "alias": " - polish_8tags_multiple_choice"
+    },
+    "polish_8tags_regex": {
+      "exact_match,score-first": 0.5720494053064958,
+      "exact_match_stderr,score-first": 0.007483817410724092,
+      "alias": " - polish_8tags_regex"
+    },
+    "polish_belebele_regex": {
+      "exact_match,score-first": 0.46444444444444444,
+      "exact_match_stderr,score-first": 0.016633716862839924,
+      "alias": " - polish_belebele_regex"
+    },
+    "polish_dyk_multiple_choice": {
+      "acc,none": 0.7978620019436345,
+      "acc_stderr,none": 0.012525391634647394,
+      "acc_norm,none": 0.7978620019436345,
+      "acc_norm_stderr,none": 0.012525391634647394,
+      "alias": " - polish_dyk_multiple_choice"
+    },
+    "polish_dyk_regex": {
+      "exact_match,score-first": 0.5393586005830904,
+      "exact_match_stderr,score-first": 0.015546181377068011,
+      "alias": " - polish_dyk_regex"
+    },
+    "polish_ppc_multiple_choice": {
+      "acc,none": 0.445,
+      "acc_stderr,none": 0.015723301886760938,
+      "acc_norm,none": 0.445,
+      "acc_norm_stderr,none": 0.015723301886760938,
+      "alias": " - polish_ppc_multiple_choice"
+    },
+    "polish_ppc_regex": {
+      "exact_match,score-first": 0.391,
+      "exact_match_stderr,score-first": 0.015438826294681782,
+      "alias": " - polish_ppc_regex"
+    },
+    "polish_psc_multiple_choice": {
+      "acc,none": 0.6743970315398887,
+      "acc_stderr,none": 0.014278880242336946,
+      "acc_norm,none": 0.6743970315398887,
+      "acc_norm_stderr,none": 0.014278880242336946,
+      "alias": " - polish_psc_multiple_choice"
+    },
+    "polish_psc_regex": {
+      "exact_match,score-first": 0.6419294990723562,
+      "exact_match_stderr,score-first": 0.014608986476832899,
+      "alias": " - polish_psc_regex"
+    }
+  },
+  "groups": {
+    "polish": {
+      "acc,none": 0.6244787172748504,
+      "acc_stderr,none": 0.007957885214651855,
+      "acc_norm,none": 0.6190519895959236,
+      "acc_norm_stderr,none": 0.007105848761469819,
+      "exact_match,score-first": 0.6531831123790377,
+      "exact_match_stderr,score-first": 0.10636173828524938,
+      "alias": "polish"
+    }
+  },
+  "configs": {
+    "belebele_pol_Latn": {
+      "task": "belebele_pol_Latn",
+      "group": "belebele",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "fewshot_split": "pol_Latn",
+      "doc_to_text": "P: {{flores_passage}}\nQ: {{question.strip()}}\nA: {{mc_answer1}}\nB: {{mc_answer2}}\nC: {{mc_answer3}}\nD: {{mc_answer4}}\nAnswer：",
+      "doc_to_target": "{{['1', '2', '3', '4'].index(correct_answer_num)}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C",
+        "D"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "fewshot_config": {
+        "sampler": "first_n"
+      },
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}}",
+      "metadata": {
+        "version": 0.0
+      }
+    },
+    "polemo2_in": {
+      "task": "polemo2_in",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_in_multiple_choice": {
+      "task": "polemo2_in_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polemo2_out": {
+      "task": "polemo2_out",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_out_multiple_choice": {
+      "task": "polemo2_out_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_multiple_choice": {
+      "task": "polish_8tags_multiple_choice",
+      "dataset_path": "djstrong/8tags",
+      "training_split": "train",
+      "test_split": "test",
+      "fewshot_split": "train",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nDo podanego tytułu przyporządkuj jedną najlepiej pasującą kategorię z podanych: Film, Historia, Jedzenie, Medycyna, Motoryzacja, Praca, Sport, Technologie.\nKategoria:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Film",
+        "Historia",
+        "Jedzenie",
+        "Medycyna",
+        "Motoryzacja",
+        "Praca",
+        "Sport",
+        "Technologie"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_regex": {
+      "task": "polish_8tags_regex",
+      "dataset_path": "sdadas/8tags",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nPytanie: jaka kategoria najlepiej pasuje do podanego tytułu?\nMożliwe odpowiedzi:\nA - film\nB - historia\nC - jedzenie\nD - medycyna\nE - motoryzacja\nF - praca\nG - sport\nH - technologie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D', 4: 'E', 5: 'F', 6: 'G', 7: 'H'}.get(label)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCDEFGH]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_belebele_regex": {
+      "task": "polish_belebele_regex",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "doc_to_text": "Fragment: \"{{flores_passage}}\"\nPytanie: \"{{question}}\"\nMożliwe odpowiedzi:\nA - {{mc_answer1}}\nB - {{mc_answer2}}\nC - {{mc_answer3}}\nD - {{mc_answer4}}\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(correct_answer_num|int - 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{flores_passage}} {{question}} {{mc_answer1}} {{mc_answer2}} {{mc_answer3}} {{mc_answer4}}"
+    },
+    "polish_dyk_multiple_choice": {
+      "task": "polish_dyk_multiple_choice",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nPytanie: Czy sugerowana odpowiedź na zadane pytanie jest poprawna?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{target|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_dyk_regex": {
+      "task": "polish_dyk_regex",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nCzy sugerowana odpowiedź na zadane pytanie jest poprawna? Możliwe opcje:\nA - brakuje sugerowanej odpowiedzi\nB - nie, sugerowana odpowiedź nie jest poprawna\nC - tak, sugerowana odpowiedź jest poprawna\nD - brakuje pytania\nPrawidłowa opcja:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(target|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_ppc_multiple_choice": {
+      "task": "polish_ppc_multiple_choice",
+      "dataset_path": "djstrong/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - znaczą dokładnie to samo\nB - mają podobne znaczenie\nC - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int - 1}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_ppc_regex": {
+      "task": "polish_ppc_regex",
+      "dataset_path": "sdadas/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - znaczą dokładnie to samo\nC - mają podobne znaczenie\nD - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_psc_multiple_choice": {
+      "task": "polish_psc_multiple_choice",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Tekst: \"{{extract_text}}\"\nPodsumowanie: \"{{summary_text}}\"\nPytanie: Czy podsumowanie dla podanego tekstu jest poprawne?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    },
+    "polish_psc_regex": {
+      "task": "polish_psc_regex",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Fragment 1: \"{{extract_text}}\"\nFragment 2: \"{{summary_text}}\"\nPytanie: jaka jest zależność między fragmentami 1 i 2?\nMożliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - dotyczą tego samego artykułu\nC - dotyczą różnych artykułów\nD - brak poprawnej odpowiedzi\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    }
+  },
+  "versions": {
+    "belebele_pol_Latn": 0.0,
+    "polemo2_in": 1.0,
+    "polemo2_in_multiple_choice": "Yaml",
+    "polemo2_out": 1.0,
+    "polemo2_out_multiple_choice": "Yaml",
+    "polish": "N/A",
+    "polish_8tags_multiple_choice": "Yaml",
+    "polish_8tags_regex": "Yaml",
+    "polish_belebele_regex": "Yaml",
+    "polish_dyk_multiple_choice": "Yaml",
+    "polish_dyk_regex": "Yaml",
+    "polish_ppc_multiple_choice": "Yaml",
+    "polish_ppc_regex": "Yaml",
+    "polish_psc_multiple_choice": "Yaml",
+    "polish_psc_regex": "Yaml"
+  },
+  "n-shot": {
+    "belebele_pol_Latn": 5,
+    "polemo2_in": 5,
+    "polemo2_in_multiple_choice": 5,
+    "polemo2_out": 5,
+    "polemo2_out_multiple_choice": 5,
+    "polish": 5,
+    "polish_8tags_multiple_choice": 5,
+    "polish_8tags_regex": 5,
+    "polish_belebele_regex": 5,
+    "polish_dyk_multiple_choice": 5,
+    "polish_dyk_regex": 5,
+    "polish_ppc_multiple_choice": 5,
+    "polish_ppc_regex": 5,
+    "polish_psc_multiple_choice": 5,
+    "polish_psc_regex": 5
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=mistralai/Mistral-7B-v0.1,peft=lora/output/mistral-7b-v0.1-lora-pl/checkpoint-2000/adapter_model",
+    "batch_size": "1",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}

polish_benchmarks-out11/results_Mistral-7B-v0.1_lora_chp2200-0_polish/results.json

@@ -0,0 +1,747 @@
+{
+  "results": {
+    "polish": {
+      "acc,none": 0.4721071717287744,
+      "acc_stderr,none": 0.010755498956589112,
+      "acc_norm,none": 0.4566671808932055,
+      "acc_norm_stderr,none": 0.0068765892337264035,
+      "exact_match,score-first": 0.5154242863020202,
+      "exact_match_stderr,score-first": 0.16365606748645156,
+      "alias": "polish"
+    },
+    "belebele_pol_Latn": {
+      "acc,none": 0.30333333333333334,
+      "acc_stderr,none": 0.015331785641933972,
+      "acc_norm,none": 0.30333333333333334,
+      "acc_norm_stderr,none": 0.015331785641933972,
+      "alias": " - belebele_pol_Latn"
+    },
+    "polemo2_in": {
+      "exact_match,score-first": 0.6426592797783933,
+      "exact_match_stderr,score-first": 0.01784695026310191,
+      "alias": " - polemo2_in"
+    },
+    "polemo2_in_multiple_choice": {
+      "acc,none": 0.2880886426592798,
+      "acc_stderr,none": 0.016865856350741566,
+      "acc_norm,none": 0.23822714681440443,
+      "acc_norm_stderr,none": 0.01586502417719433,
+      "alias": " - polemo2_in_multiple_choice"
+    },
+    "polemo2_out": {
+      "exact_match,score-first": 0.6174089068825911,
+      "exact_match_stderr,score-first": 0.021889226400747818,
+      "alias": " - polemo2_out"
+    },
+    "polemo2_out_multiple_choice": {
+      "acc,none": 0.02631578947368421,
+      "acc_stderr,none": 0.007209311746493937,
+      "acc_norm,none": 0.2854251012145749,
+      "acc_norm_stderr,none": 0.02033979167488537,
+      "alias": " - polemo2_out_multiple_choice"
+    },
+    "polish_8tags_multiple_choice": {
+      "acc,none": 0.620768526989936,
+      "acc_stderr,none": 0.007338826630914385,
+      "acc_norm,none": 0.5681610247026533,
+      "acc_norm_stderr,none": 0.00749214603961998,
+      "alias": " - polish_8tags_multiple_choice"
+    },
+    "polish_8tags_regex": {
+      "exact_match,score-first": 0.4714089661482159,
+      "exact_match_stderr,score-first": 0.007550373089263302,
+      "alias": " - polish_8tags_regex"
+    },
+    "polish_belebele_regex": {
+      "exact_match,score-first": 0.3622222222222222,
+      "exact_match_stderr,score-first": 0.016030327346260632,
+      "alias": " - polish_belebele_regex"
+    },
+    "polish_dyk_multiple_choice": {
+      "acc,none": 0.3673469387755102,
+      "acc_stderr,none": 0.015035728051630332,
+      "acc_norm,none": 0.3673469387755102,
+      "acc_norm_stderr,none": 0.015035728051630332,
+      "alias": " - polish_dyk_multiple_choice"
+    },
+    "polish_dyk_regex": {
+      "exact_match,score-first": 0.1749271137026239,
+      "exact_match_stderr,score-first": 0.011848903583973948,
+      "alias": " - polish_dyk_regex"
+    },
+    "polish_ppc_multiple_choice": {
+      "acc,none": 0.475,
+      "acc_stderr,none": 0.015799513429996016,
+      "acc_norm,none": 0.475,
+      "acc_norm_stderr,none": 0.015799513429996016,
+      "alias": " - polish_ppc_multiple_choice"
+    },
+    "polish_ppc_regex": {
+      "exact_match,score-first": 0.0,
+      "exact_match_stderr,score-first": 0.0,
+      "alias": " - polish_ppc_regex"
+    },
+    "polish_psc_multiple_choice": {
+      "acc,none": 0.6948051948051948,
+      "acc_stderr,none": 0.014031763148103638,
+      "acc_norm,none": 0.6948051948051948,
+      "acc_norm_stderr,none": 0.014031763148103638,
+      "alias": " - polish_psc_multiple_choice"
+    },
+    "polish_psc_regex": {
+      "exact_match,score-first": 0.6929499072356216,
+      "exact_match_stderr,score-first": 0.014055544850266423,
+      "alias": " - polish_psc_regex"
+    }
+  },
+  "groups": {
+    "polish": {
+      "acc,none": 0.4721071717287744,
+      "acc_stderr,none": 0.010755498956589112,
+      "acc_norm,none": 0.4566671808932055,
+      "acc_norm_stderr,none": 0.0068765892337264035,
+      "exact_match,score-first": 0.5154242863020202,
+      "exact_match_stderr,score-first": 0.16365606748645156,
+      "alias": "polish"
+    }
+  },
+  "configs": {
+    "belebele_pol_Latn": {
+      "task": "belebele_pol_Latn",
+      "group": "belebele",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "fewshot_split": "pol_Latn",
+      "doc_to_text": "P: {{flores_passage}}\nQ: {{question.strip()}}\nA: {{mc_answer1}}\nB: {{mc_answer2}}\nC: {{mc_answer3}}\nD: {{mc_answer4}}\nAnswer：",
+      "doc_to_target": "{{['1', '2', '3', '4'].index(correct_answer_num)}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C",
+        "D"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "fewshot_config": {
+        "sampler": "first_n"
+      },
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}}",
+      "metadata": {
+        "version": 0.0
+      }
+    },
+    "polemo2_in": {
+      "task": "polemo2_in",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_in_multiple_choice": {
+      "task": "polemo2_in_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polemo2_out": {
+      "task": "polemo2_out",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_out_multiple_choice": {
+      "task": "polemo2_out_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_multiple_choice": {
+      "task": "polish_8tags_multiple_choice",
+      "dataset_path": "djstrong/8tags",
+      "training_split": "train",
+      "test_split": "test",
+      "fewshot_split": "train",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nDo podanego tytułu przyporządkuj jedną najlepiej pasującą kategorię z podanych: Film, Historia, Jedzenie, Medycyna, Motoryzacja, Praca, Sport, Technologie.\nKategoria:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Film",
+        "Historia",
+        "Jedzenie",
+        "Medycyna",
+        "Motoryzacja",
+        "Praca",
+        "Sport",
+        "Technologie"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_regex": {
+      "task": "polish_8tags_regex",
+      "dataset_path": "sdadas/8tags",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nPytanie: jaka kategoria najlepiej pasuje do podanego tytułu?\nMożliwe odpowiedzi:\nA - film\nB - historia\nC - jedzenie\nD - medycyna\nE - motoryzacja\nF - praca\nG - sport\nH - technologie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D', 4: 'E', 5: 'F', 6: 'G', 7: 'H'}.get(label)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCDEFGH]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_belebele_regex": {
+      "task": "polish_belebele_regex",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "doc_to_text": "Fragment: \"{{flores_passage}}\"\nPytanie: \"{{question}}\"\nMożliwe odpowiedzi:\nA - {{mc_answer1}}\nB - {{mc_answer2}}\nC - {{mc_answer3}}\nD - {{mc_answer4}}\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(correct_answer_num|int - 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{flores_passage}} {{question}} {{mc_answer1}} {{mc_answer2}} {{mc_answer3}} {{mc_answer4}}"
+    },
+    "polish_dyk_multiple_choice": {
+      "task": "polish_dyk_multiple_choice",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nPytanie: Czy sugerowana odpowiedź na zadane pytanie jest poprawna?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{target|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_dyk_regex": {
+      "task": "polish_dyk_regex",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nCzy sugerowana odpowiedź na zadane pytanie jest poprawna? Możliwe opcje:\nA - brakuje sugerowanej odpowiedzi\nB - nie, sugerowana odpowiedź nie jest poprawna\nC - tak, sugerowana odpowiedź jest poprawna\nD - brakuje pytania\nPrawidłowa opcja:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(target|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_ppc_multiple_choice": {
+      "task": "polish_ppc_multiple_choice",
+      "dataset_path": "djstrong/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - znaczą dokładnie to samo\nB - mają podobne znaczenie\nC - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int - 1}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_ppc_regex": {
+      "task": "polish_ppc_regex",
+      "dataset_path": "sdadas/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - znaczą dokładnie to samo\nC - mają podobne znaczenie\nD - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_psc_multiple_choice": {
+      "task": "polish_psc_multiple_choice",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Tekst: \"{{extract_text}}\"\nPodsumowanie: \"{{summary_text}}\"\nPytanie: Czy podsumowanie dla podanego tekstu jest poprawne?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    },
+    "polish_psc_regex": {
+      "task": "polish_psc_regex",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Fragment 1: \"{{extract_text}}\"\nFragment 2: \"{{summary_text}}\"\nPytanie: jaka jest zależność między fragmentami 1 i 2?\nMożliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - dotyczą tego samego artykułu\nC - dotyczą różnych artykułów\nD - brak poprawnej odpowiedzi\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    }
+  },
+  "versions": {
+    "belebele_pol_Latn": 0.0,
+    "polemo2_in": 1.0,
+    "polemo2_in_multiple_choice": "Yaml",
+    "polemo2_out": 1.0,
+    "polemo2_out_multiple_choice": "Yaml",
+    "polish": "N/A",
+    "polish_8tags_multiple_choice": "Yaml",
+    "polish_8tags_regex": "Yaml",
+    "polish_belebele_regex": "Yaml",
+    "polish_dyk_multiple_choice": "Yaml",
+    "polish_dyk_regex": "Yaml",
+    "polish_ppc_multiple_choice": "Yaml",
+    "polish_ppc_regex": "Yaml",
+    "polish_psc_multiple_choice": "Yaml",
+    "polish_psc_regex": "Yaml"
+  },
+  "n-shot": {
+    "belebele_pol_Latn": 0,
+    "polemo2_in": 0,
+    "polemo2_in_multiple_choice": 0,
+    "polemo2_out": 0,
+    "polemo2_out_multiple_choice": 0,
+    "polish": 0,
+    "polish_8tags_multiple_choice": 0,
+    "polish_8tags_regex": 0,
+    "polish_belebele_regex": 0,
+    "polish_dyk_multiple_choice": 0,
+    "polish_dyk_regex": 0,
+    "polish_ppc_multiple_choice": 0,
+    "polish_ppc_regex": 0,
+    "polish_psc_multiple_choice": 0,
+    "polish_psc_regex": 0
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=mistralai/Mistral-7B-v0.1,peft=lora/output/mistral-7b-v0.1-lora-pl/checkpoint-2200/adapter_model",
+    "batch_size": "1",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}

polish_benchmarks-out11/results_Mistral-7B-v0.1_lora_chp2200-5_polish/results.json

@@ -0,0 +1,747 @@
+{
+  "results": {
+    "polish": {
+      "acc,none": 0.6053589419074686,
+      "acc_stderr,none": 0.00858516332911257,
+      "acc_norm,none": 0.5988944841086185,
+      "acc_norm_stderr,none": 0.007903150488458166,
+      "exact_match,score-first": 0.639276470277073,
+      "exact_match_stderr,score-first": 0.12203751850722994,
+      "alias": "polish"
+    },
+    "belebele_pol_Latn": {
+      "acc,none": 0.39666666666666667,
+      "acc_stderr,none": 0.016315923768946142,
+      "acc_norm,none": 0.39666666666666667,
+      "acc_norm_stderr,none": 0.016315923768946142,
+      "alias": " - belebele_pol_Latn"
+    },
+    "polemo2_in": {
+      "exact_match,score-first": 0.7839335180055401,
+      "exact_match_stderr,score-first": 0.015327300950997175,
+      "alias": " - polemo2_in"
+    },
+    "polemo2_in_multiple_choice": {
+      "acc,none": 0.760387811634349,
+      "acc_stderr,none": 0.0158966053979867,
+      "acc_norm,none": 0.7146814404432132,
+      "acc_norm_stderr,none": 0.016817197752968662,
+      "alias": " - polemo2_in_multiple_choice"
+    },
+    "polemo2_out": {
+      "exact_match,score-first": 0.611336032388664,
+      "exact_match_stderr,score-first": 0.021953495375745476,
+      "alias": " - polemo2_out"
+    },
+    "polemo2_out_multiple_choice": {
+      "acc,none": 0.5668016194331984,
+      "acc_stderr,none": 0.022316983574495623,
+      "acc_norm,none": 0.5506072874493927,
+      "acc_norm_stderr,none": 0.02240322448797156,
+      "alias": " - polemo2_out_multiple_choice"
+    },
+    "polish_8tags_multiple_choice": {
+      "acc,none": 0.6477584629460201,
+      "acc_stderr,none": 0.007224976326359538,
+      "acc_norm,none": 0.6447849954254345,
+      "acc_norm_stderr,none": 0.0072387355212667984,
+      "alias": " - polish_8tags_multiple_choice"
+    },
+    "polish_8tags_regex": {
+      "exact_match,score-first": 0.5953796889295517,
+      "exact_match_stderr,score-first": 0.0074238714645552826,
+      "alias": " - polish_8tags_regex"
+    },
+    "polish_belebele_regex": {
+      "exact_match,score-first": 0.43555555555555553,
+      "exact_match_stderr,score-first": 0.016536840376359645,
+      "alias": " - polish_belebele_regex"
+    },
+    "polish_dyk_multiple_choice": {
+      "acc,none": 0.8163265306122449,
+      "acc_stderr,none": 0.01207698739519081,
+      "acc_norm,none": 0.8163265306122449,
+      "acc_norm_stderr,none": 0.01207698739519081,
+      "alias": " - polish_dyk_multiple_choice"
+    },
+    "polish_dyk_regex": {
+      "exact_match,score-first": 0.34110787172011664,
+      "exact_match_stderr,score-first": 0.014786196488153141,
+      "alias": " - polish_dyk_regex"
+    },
+    "polish_ppc_multiple_choice": {
+      "acc,none": 0.49,
+      "acc_stderr,none": 0.0158161357527732,
+      "acc_norm,none": 0.49,
+      "acc_norm_stderr,none": 0.0158161357527732,
+      "alias": " - polish_ppc_multiple_choice"
+    },
+    "polish_ppc_regex": {
+      "exact_match,score-first": 0.417,
+      "exact_match_stderr,score-first": 0.015599819048769616,
+      "alias": " - polish_ppc_regex"
+    },
+    "polish_psc_multiple_choice": {
+      "acc,none": 0.6818181818181818,
+      "acc_stderr,none": 0.014192670397052843,
+      "acc_norm,none": 0.6818181818181818,
+      "acc_norm_stderr,none": 0.014192670397052843,
+      "alias": " - polish_psc_multiple_choice"
+    },
+    "polish_psc_regex": {
+      "exact_match,score-first": 0.6048237476808905,
+      "exact_match_stderr,score-first": 0.014897108638787992,
+      "alias": " - polish_psc_regex"
+    }
+  },
+  "groups": {
+    "polish": {
+      "acc,none": 0.6053589419074686,
+      "acc_stderr,none": 0.00858516332911257,
+      "acc_norm,none": 0.5988944841086185,
+      "acc_norm_stderr,none": 0.007903150488458166,
+      "exact_match,score-first": 0.639276470277073,
+      "exact_match_stderr,score-first": 0.12203751850722994,
+      "alias": "polish"
+    }
+  },
+  "configs": {
+    "belebele_pol_Latn": {
+      "task": "belebele_pol_Latn",
+      "group": "belebele",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "fewshot_split": "pol_Latn",
+      "doc_to_text": "P: {{flores_passage}}\nQ: {{question.strip()}}\nA: {{mc_answer1}}\nB: {{mc_answer2}}\nC: {{mc_answer3}}\nD: {{mc_answer4}}\nAnswer：",
+      "doc_to_target": "{{['1', '2', '3', '4'].index(correct_answer_num)}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C",
+        "D"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "fewshot_config": {
+        "sampler": "first_n"
+      },
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}}",
+      "metadata": {
+        "version": 0.0
+      }
+    },
+    "polemo2_in": {
+      "task": "polemo2_in",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_in_multiple_choice": {
+      "task": "polemo2_in_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polemo2_out": {
+      "task": "polemo2_out",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_out_multiple_choice": {
+      "task": "polemo2_out_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_multiple_choice": {
+      "task": "polish_8tags_multiple_choice",
+      "dataset_path": "djstrong/8tags",
+      "training_split": "train",
+      "test_split": "test",
+      "fewshot_split": "train",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nDo podanego tytułu przyporządkuj jedną najlepiej pasującą kategorię z podanych: Film, Historia, Jedzenie, Medycyna, Motoryzacja, Praca, Sport, Technologie.\nKategoria:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Film",
+        "Historia",
+        "Jedzenie",
+        "Medycyna",
+        "Motoryzacja",
+        "Praca",
+        "Sport",
+        "Technologie"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_regex": {
+      "task": "polish_8tags_regex",
+      "dataset_path": "sdadas/8tags",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nPytanie: jaka kategoria najlepiej pasuje do podanego tytułu?\nMożliwe odpowiedzi:\nA - film\nB - historia\nC - jedzenie\nD - medycyna\nE - motoryzacja\nF - praca\nG - sport\nH - technologie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D', 4: 'E', 5: 'F', 6: 'G', 7: 'H'}.get(label)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCDEFGH]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_belebele_regex": {
+      "task": "polish_belebele_regex",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "doc_to_text": "Fragment: \"{{flores_passage}}\"\nPytanie: \"{{question}}\"\nMożliwe odpowiedzi:\nA - {{mc_answer1}}\nB - {{mc_answer2}}\nC - {{mc_answer3}}\nD - {{mc_answer4}}\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(correct_answer_num|int - 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{flores_passage}} {{question}} {{mc_answer1}} {{mc_answer2}} {{mc_answer3}} {{mc_answer4}}"
+    },
+    "polish_dyk_multiple_choice": {
+      "task": "polish_dyk_multiple_choice",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nPytanie: Czy sugerowana odpowiedź na zadane pytanie jest poprawna?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{target|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_dyk_regex": {
+      "task": "polish_dyk_regex",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nCzy sugerowana odpowiedź na zadane pytanie jest poprawna? Możliwe opcje:\nA - brakuje sugerowanej odpowiedzi\nB - nie, sugerowana odpowiedź nie jest poprawna\nC - tak, sugerowana odpowiedź jest poprawna\nD - brakuje pytania\nPrawidłowa opcja:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(target|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_ppc_multiple_choice": {
+      "task": "polish_ppc_multiple_choice",
+      "dataset_path": "djstrong/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - znaczą dokładnie to samo\nB - mają podobne znaczenie\nC - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int - 1}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_ppc_regex": {
+      "task": "polish_ppc_regex",
+      "dataset_path": "sdadas/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - znaczą dokładnie to samo\nC - mają podobne znaczenie\nD - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_psc_multiple_choice": {
+      "task": "polish_psc_multiple_choice",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Tekst: \"{{extract_text}}\"\nPodsumowanie: \"{{summary_text}}\"\nPytanie: Czy podsumowanie dla podanego tekstu jest poprawne?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    },
+    "polish_psc_regex": {
+      "task": "polish_psc_regex",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Fragment 1: \"{{extract_text}}\"\nFragment 2: \"{{summary_text}}\"\nPytanie: jaka jest zależność między fragmentami 1 i 2?\nMożliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - dotyczą tego samego artykułu\nC - dotyczą różnych artykułów\nD - brak poprawnej odpowiedzi\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    }
+  },
+  "versions": {
+    "belebele_pol_Latn": 0.0,
+    "polemo2_in": 1.0,
+    "polemo2_in_multiple_choice": "Yaml",
+    "polemo2_out": 1.0,
+    "polemo2_out_multiple_choice": "Yaml",
+    "polish": "N/A",
+    "polish_8tags_multiple_choice": "Yaml",
+    "polish_8tags_regex": "Yaml",
+    "polish_belebele_regex": "Yaml",
+    "polish_dyk_multiple_choice": "Yaml",
+    "polish_dyk_regex": "Yaml",
+    "polish_ppc_multiple_choice": "Yaml",
+    "polish_ppc_regex": "Yaml",
+    "polish_psc_multiple_choice": "Yaml",
+    "polish_psc_regex": "Yaml"
+  },
+  "n-shot": {
+    "belebele_pol_Latn": 5,
+    "polemo2_in": 5,
+    "polemo2_in_multiple_choice": 5,
+    "polemo2_out": 5,
+    "polemo2_out_multiple_choice": 5,
+    "polish": 5,
+    "polish_8tags_multiple_choice": 5,
+    "polish_8tags_regex": 5,
+    "polish_belebele_regex": 5,
+    "polish_dyk_multiple_choice": 5,
+    "polish_dyk_regex": 5,
+    "polish_ppc_multiple_choice": 5,
+    "polish_ppc_regex": 5,
+    "polish_psc_multiple_choice": 5,
+    "polish_psc_regex": 5
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=mistralai/Mistral-7B-v0.1,peft=lora/output/mistral-7b-v0.1-lora-pl/checkpoint-2200/adapter_model",
+    "batch_size": "1",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}

polish_benchmarks-out13/results_Mistral-7B-v0.1-0_polish/results.json

@@ -0,0 +1,747 @@
+{
+  "results": {
+    "polish": {
+      "acc,none": 0.4343824081976938,
+      "acc_stderr,none": 0.009962623712715304,
+      "acc_norm,none": 0.4525485670942092,
+      "acc_norm_stderr,none": 0.005643694169180114,
+      "exact_match,score-first": 0.3294044653144906,
+      "exact_match_stderr,score-first": 0.10927504635268076,
+      "alias": "polish"
+    },
+    "belebele_pol_Latn": {
+      "acc,none": 0.3888888888888889,
+      "acc_stderr,none": 0.016258969321955842,
+      "acc_norm,none": 0.3888888888888889,
+      "acc_norm_stderr,none": 0.016258969321955842,
+      "alias": " - belebele_pol_Latn"
+    },
+    "polemo2_in": {
+      "exact_match,score-first": 0.2880886426592798,
+      "exact_match_stderr,score-first": 0.016865856350741566,
+      "alias": " - polemo2_in"
+    },
+    "polemo2_in_multiple_choice": {
+      "acc,none": 0.6842105263157895,
+      "acc_stderr,none": 0.017311155919553595,
+      "acc_norm,none": 0.5415512465373962,
+      "acc_norm_stderr,none": 0.018556563224686202,
+      "alias": " - polemo2_in_multiple_choice"
+    },
+    "polemo2_out": {
+      "exact_match,score-first": 0.3117408906882591,
+      "exact_match_stderr,score-first": 0.020861686290680668,
+      "alias": " - polemo2_out"
+    },
+    "polemo2_out_multiple_choice": {
+      "acc,none": 0.6174089068825911,
+      "acc_stderr,none": 0.021889226400747818,
+      "acc_norm,none": 0.5020242914979757,
+      "acc_norm_stderr,none": 0.022518682901144425,
+      "alias": " - polemo2_out_multiple_choice"
+    },
+    "polish_8tags_multiple_choice": {
+      "acc,none": 0.3321134492223239,
+      "acc_stderr,none": 0.007123676308111656,
+      "acc_norm,none": 0.41285452881976215,
+      "acc_norm_stderr,none": 0.00744699360559585,
+      "alias": " - polish_8tags_multiple_choice"
+    },
+    "polish_8tags_regex": {
+      "exact_match,score-first": 0.4556267154620311,
+      "exact_match_stderr,score-first": 0.007532906710515956,
+      "alias": " - polish_8tags_regex"
+    },
+    "polish_belebele_regex": {
+      "exact_match,score-first": 0.5155555555555555,
+      "exact_match_stderr,score-first": 0.016667861366977586,
+      "alias": " - polish_belebele_regex"
+    },
+    "polish_dyk_multiple_choice": {
+      "acc,none": 0.5957240038872692,
+      "acc_stderr,none": 0.015306114946219423,
+      "acc_norm,none": 0.5957240038872692,
+      "acc_norm_stderr,none": 0.015306114946219423,
+      "alias": " - polish_dyk_multiple_choice"
+    },
+    "polish_dyk_regex": {
+      "exact_match,score-first": 0.021379980563654033,
+      "exact_match_stderr,score-first": 0.004511429173283774,
+      "alias": " - polish_dyk_regex"
+    },
+    "polish_ppc_multiple_choice": {
+      "acc,none": 0.412,
+      "acc_stderr,none": 0.015572363292015093,
+      "acc_norm,none": 0.412,
+      "acc_norm_stderr,none": 0.015572363292015093,
+      "alias": " - polish_ppc_multiple_choice"
+    },
+    "polish_ppc_regex": {
+      "exact_match,score-first": 0.396,
+      "exact_match_stderr,score-first": 0.01547331326585941,
+      "alias": " - polish_ppc_regex"
+    },
+    "polish_psc_multiple_choice": {
+      "acc,none": 0.686456400742115,
+      "acc_stderr,none": 0.014136685538524662,
+      "acc_norm,none": 0.686456400742115,
+      "acc_norm_stderr,none": 0.014136685538524662,
+      "alias": " - polish_psc_multiple_choice"
+    },
+    "polish_psc_regex": {
+      "exact_match,score-first": 0.10575139146567718,
+      "exact_match_stderr,score-first": 0.009370533769636572,
+      "alias": " - polish_psc_regex"
+    }
+  },
+  "groups": {
+    "polish": {
+      "acc,none": 0.4343824081976938,
+      "acc_stderr,none": 0.009962623712715304,
+      "acc_norm,none": 0.4525485670942092,
+      "acc_norm_stderr,none": 0.005643694169180114,
+      "exact_match,score-first": 0.3294044653144906,
+      "exact_match_stderr,score-first": 0.10927504635268076,
+      "alias": "polish"
+    }
+  },
+  "configs": {
+    "belebele_pol_Latn": {
+      "task": "belebele_pol_Latn",
+      "group": "belebele",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "fewshot_split": "pol_Latn",
+      "doc_to_text": "P: {{flores_passage}}\nQ: {{question.strip()}}\nA: {{mc_answer1}}\nB: {{mc_answer2}}\nC: {{mc_answer3}}\nD: {{mc_answer4}}\nAnswer：",
+      "doc_to_target": "{{['1', '2', '3', '4'].index(correct_answer_num)}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C",
+        "D"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "fewshot_config": {
+        "sampler": "first_n"
+      },
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}}",
+      "metadata": {
+        "version": 0.0
+      }
+    },
+    "polemo2_in": {
+      "task": "polemo2_in",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_in_multiple_choice": {
+      "task": "polemo2_in_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polemo2_out": {
+      "task": "polemo2_out",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_out_multiple_choice": {
+      "task": "polemo2_out_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_multiple_choice": {
+      "task": "polish_8tags_multiple_choice",
+      "dataset_path": "djstrong/8tags",
+      "training_split": "train",
+      "test_split": "test",
+      "fewshot_split": "train",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nDo podanego tytułu przyporządkuj jedną najlepiej pasującą kategorię z podanych: Film, Historia, Jedzenie, Medycyna, Motoryzacja, Praca, Sport, Technologie.\nKategoria:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Film",
+        "Historia",
+        "Jedzenie",
+        "Medycyna",
+        "Motoryzacja",
+        "Praca",
+        "Sport",
+        "Technologie"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_regex": {
+      "task": "polish_8tags_regex",
+      "dataset_path": "sdadas/8tags",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nPytanie: jaka kategoria najlepiej pasuje do podanego tytułu?\nMożliwe odpowiedzi:\nA - film\nB - historia\nC - jedzenie\nD - medycyna\nE - motoryzacja\nF - praca\nG - sport\nH - technologie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D', 4: 'E', 5: 'F', 6: 'G', 7: 'H'}.get(label)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCDEFGH]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_belebele_regex": {
+      "task": "polish_belebele_regex",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "doc_to_text": "Fragment: \"{{flores_passage}}\"\nPytanie: \"{{question}}\"\nMożliwe odpowiedzi:\nA - {{mc_answer1}}\nB - {{mc_answer2}}\nC - {{mc_answer3}}\nD - {{mc_answer4}}\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(correct_answer_num|int - 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{flores_passage}} {{question}} {{mc_answer1}} {{mc_answer2}} {{mc_answer3}} {{mc_answer4}}"
+    },
+    "polish_dyk_multiple_choice": {
+      "task": "polish_dyk_multiple_choice",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nPytanie: Czy sugerowana odpowiedź na zadane pytanie jest poprawna?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{target|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_dyk_regex": {
+      "task": "polish_dyk_regex",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nCzy sugerowana odpowiedź na zadane pytanie jest poprawna? Możliwe opcje:\nA - brakuje sugerowanej odpowiedzi\nB - nie, sugerowana odpowiedź nie jest poprawna\nC - tak, sugerowana odpowiedź jest poprawna\nD - brakuje pytania\nPrawidłowa opcja:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(target|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_ppc_multiple_choice": {
+      "task": "polish_ppc_multiple_choice",
+      "dataset_path": "djstrong/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - znaczą dokładnie to samo\nB - mają podobne znaczenie\nC - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int - 1}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_ppc_regex": {
+      "task": "polish_ppc_regex",
+      "dataset_path": "sdadas/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - znaczą dokładnie to samo\nC - mają podobne znaczenie\nD - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_psc_multiple_choice": {
+      "task": "polish_psc_multiple_choice",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Tekst: \"{{extract_text}}\"\nPodsumowanie: \"{{summary_text}}\"\nPytanie: Czy podsumowanie dla podanego tekstu jest poprawne?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    },
+    "polish_psc_regex": {
+      "task": "polish_psc_regex",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Fragment 1: \"{{extract_text}}\"\nFragment 2: \"{{summary_text}}\"\nPytanie: jaka jest zależność między fragmentami 1 i 2?\nMożliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - dotyczą tego samego artykułu\nC - dotyczą różnych artykułów\nD - brak poprawnej odpowiedzi\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    }
+  },
+  "versions": {
+    "belebele_pol_Latn": 0.0,
+    "polemo2_in": 1.0,
+    "polemo2_in_multiple_choice": "Yaml",
+    "polemo2_out": 1.0,
+    "polemo2_out_multiple_choice": "Yaml",
+    "polish": "N/A",
+    "polish_8tags_multiple_choice": "Yaml",
+    "polish_8tags_regex": "Yaml",
+    "polish_belebele_regex": "Yaml",
+    "polish_dyk_multiple_choice": "Yaml",
+    "polish_dyk_regex": "Yaml",
+    "polish_ppc_multiple_choice": "Yaml",
+    "polish_ppc_regex": "Yaml",
+    "polish_psc_multiple_choice": "Yaml",
+    "polish_psc_regex": "Yaml"
+  },
+  "n-shot": {
+    "belebele_pol_Latn": 0,
+    "polemo2_in": 0,
+    "polemo2_in_multiple_choice": 0,
+    "polemo2_out": 0,
+    "polemo2_out_multiple_choice": 0,
+    "polish": 0,
+    "polish_8tags_multiple_choice": 0,
+    "polish_8tags_regex": 0,
+    "polish_belebele_regex": 0,
+    "polish_dyk_multiple_choice": 0,
+    "polish_dyk_regex": 0,
+    "polish_ppc_multiple_choice": 0,
+    "polish_ppc_regex": 0,
+    "polish_psc_multiple_choice": 0,
+    "polish_psc_regex": 0
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=mistralai/Mistral-7B-v0.1,load_in_4bit=True",
+    "batch_size": "1",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}

polish_benchmarks-out13/results_Mistral-7B-v0.1-5_polish/results.json

@@ -0,0 +1,747 @@
+{
+  "results": {
+    "polish": {
+      "acc,none": 0.681789464586842,
+      "acc_stderr,none": 0.0021807667148682464,
+      "acc_norm,none": 0.6829617521438363,
+      "acc_norm_stderr,none": 0.0022133515507959355,
+      "exact_match,score-first": 0.6745926465621607,
+      "exact_match_stderr,score-first": 0.07702933015086402,
+      "alias": "polish"
+    },
+    "belebele_pol_Latn": {
+      "acc,none": 0.63,
+      "acc_stderr,none": 0.01610242521754215,
+      "acc_norm,none": 0.63,
+      "acc_norm_stderr,none": 0.01610242521754215,
+      "alias": " - belebele_pol_Latn"
+    },
+    "polemo2_in": {
+      "exact_match,score-first": 0.7063711911357341,
+      "exact_match_stderr,score-first": 0.016960872466519703,
+      "alias": " - polemo2_in"
+    },
+    "polemo2_in_multiple_choice": {
+      "acc,none": 0.7077562326869806,
+      "acc_stderr,none": 0.016937404043351943,
+      "acc_norm,none": 0.7146814404432132,
+      "acc_norm_stderr,none": 0.016817197752968666,
+      "alias": " - polemo2_in_multiple_choice"
+    },
+    "polemo2_out": {
+      "exact_match,score-first": 0.6255060728744939,
+      "exact_match_stderr,score-first": 0.021797901981018202,
+      "alias": " - polemo2_out"
+    },
+    "polemo2_out_multiple_choice": {
+      "acc,none": 0.6619433198380567,
+      "acc_stderr,none": 0.021305008084780325,
+      "acc_norm,none": 0.6882591093117408,
+      "acc_norm_stderr,none": 0.02086168629068067,
+      "alias": " - polemo2_out_multiple_choice"
+    },
+    "polish_8tags_multiple_choice": {
+      "acc,none": 0.6880146386093321,
+      "acc_stderr,none": 0.007007700697209871,
+      "acc_norm,none": 0.6861848124428179,
+      "acc_norm_stderr,none": 0.007018868833479085,
+      "alias": " - polish_8tags_multiple_choice"
+    },
+    "polish_8tags_regex": {
+      "exact_match,score-first": 0.6882433668801464,
+      "exact_match_stderr,score-first": 0.007006295741006132,
+      "alias": " - polish_8tags_regex"
+    },
+    "polish_belebele_regex": {
+      "exact_match,score-first": 0.6855555555555556,
+      "exact_match_stderr,score-first": 0.015485079682471441,
+      "alias": " - polish_belebele_regex"
+    },
+    "polish_dyk_multiple_choice": {
+      "acc,none": 0.8347910592808552,
+      "acc_stderr,none": 0.011582681398996698,
+      "acc_norm,none": 0.8347910592808552,
+      "acc_norm_stderr,none": 0.011582681398996698,
+      "alias": " - polish_dyk_multiple_choice"
+    },
+    "polish_dyk_regex": {
+      "exact_match,score-first": 0.8182701652089407,
+      "exact_match_stderr,score-first": 0.012027210635031366,
+      "alias": " - polish_dyk_regex"
+    },
+    "polish_ppc_multiple_choice": {
+      "acc,none": 0.594,
+      "acc_stderr,none": 0.015537226438634604,
+      "acc_norm,none": 0.594,
+      "acc_norm_stderr,none": 0.015537226438634604,
+      "alias": " - polish_ppc_multiple_choice"
+    },
+    "polish_ppc_regex": {
+      "exact_match,score-first": 0.534,
+      "exact_match_stderr,score-first": 0.015782683329937625,
+      "alias": " - polish_ppc_regex"
+    },
+    "polish_psc_multiple_choice": {
+      "acc,none": 0.7115027829313544,
+      "acc_stderr,none": 0.013805472143575878,
+      "acc_norm,none": 0.7115027829313544,
+      "acc_norm_stderr,none": 0.013805472143575878,
+      "alias": " - polish_psc_multiple_choice"
+    },
+    "polish_psc_regex": {
+      "exact_match,score-first": 0.42393320964749537,
+      "exact_match_stderr,score-first": 0.015058346547608882,
+      "alias": " - polish_psc_regex"
+    }
+  },
+  "groups": {
+    "polish": {
+      "acc,none": 0.681789464586842,
+      "acc_stderr,none": 0.0021807667148682464,
+      "acc_norm,none": 0.6829617521438363,
+      "acc_norm_stderr,none": 0.0022133515507959355,
+      "exact_match,score-first": 0.6745926465621607,
+      "exact_match_stderr,score-first": 0.07702933015086402,
+      "alias": "polish"
+    }
+  },
+  "configs": {
+    "belebele_pol_Latn": {
+      "task": "belebele_pol_Latn",
+      "group": "belebele",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "fewshot_split": "pol_Latn",
+      "doc_to_text": "P: {{flores_passage}}\nQ: {{question.strip()}}\nA: {{mc_answer1}}\nB: {{mc_answer2}}\nC: {{mc_answer3}}\nD: {{mc_answer4}}\nAnswer：",
+      "doc_to_target": "{{['1', '2', '3', '4'].index(correct_answer_num)}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C",
+        "D"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "fewshot_config": {
+        "sampler": "first_n"
+      },
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}}",
+      "metadata": {
+        "version": 0.0
+      }
+    },
+    "polemo2_in": {
+      "task": "polemo2_in",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_in_multiple_choice": {
+      "task": "polemo2_in_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polemo2_out": {
+      "task": "polemo2_out",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_out_multiple_choice": {
+      "task": "polemo2_out_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_multiple_choice": {
+      "task": "polish_8tags_multiple_choice",
+      "dataset_path": "djstrong/8tags",
+      "training_split": "train",
+      "test_split": "test",
+      "fewshot_split": "train",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nDo podanego tytułu przyporządkuj jedną najlepiej pasującą kategorię z podanych: Film, Historia, Jedzenie, Medycyna, Motoryzacja, Praca, Sport, Technologie.\nKategoria:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Film",
+        "Historia",
+        "Jedzenie",
+        "Medycyna",
+        "Motoryzacja",
+        "Praca",
+        "Sport",
+        "Technologie"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_regex": {
+      "task": "polish_8tags_regex",
+      "dataset_path": "sdadas/8tags",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nPytanie: jaka kategoria najlepiej pasuje do podanego tytułu?\nMożliwe odpowiedzi:\nA - film\nB - historia\nC - jedzenie\nD - medycyna\nE - motoryzacja\nF - praca\nG - sport\nH - technologie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D', 4: 'E', 5: 'F', 6: 'G', 7: 'H'}.get(label)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCDEFGH]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_belebele_regex": {
+      "task": "polish_belebele_regex",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "doc_to_text": "Fragment: \"{{flores_passage}}\"\nPytanie: \"{{question}}\"\nMożliwe odpowiedzi:\nA - {{mc_answer1}}\nB - {{mc_answer2}}\nC - {{mc_answer3}}\nD - {{mc_answer4}}\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(correct_answer_num|int - 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{flores_passage}} {{question}} {{mc_answer1}} {{mc_answer2}} {{mc_answer3}} {{mc_answer4}}"
+    },
+    "polish_dyk_multiple_choice": {
+      "task": "polish_dyk_multiple_choice",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nPytanie: Czy sugerowana odpowiedź na zadane pytanie jest poprawna?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{target|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_dyk_regex": {
+      "task": "polish_dyk_regex",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nCzy sugerowana odpowiedź na zadane pytanie jest poprawna? Możliwe opcje:\nA - brakuje sugerowanej odpowiedzi\nB - nie, sugerowana odpowiedź nie jest poprawna\nC - tak, sugerowana odpowiedź jest poprawna\nD - brakuje pytania\nPrawidłowa opcja:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(target|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_ppc_multiple_choice": {
+      "task": "polish_ppc_multiple_choice",
+      "dataset_path": "djstrong/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - znaczą dokładnie to samo\nB - mają podobne znaczenie\nC - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int - 1}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_ppc_regex": {
+      "task": "polish_ppc_regex",
+      "dataset_path": "sdadas/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - znaczą dokładnie to samo\nC - mają podobne znaczenie\nD - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_psc_multiple_choice": {
+      "task": "polish_psc_multiple_choice",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Tekst: \"{{extract_text}}\"\nPodsumowanie: \"{{summary_text}}\"\nPytanie: Czy podsumowanie dla podanego tekstu jest poprawne?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    },
+    "polish_psc_regex": {
+      "task": "polish_psc_regex",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Fragment 1: \"{{extract_text}}\"\nFragment 2: \"{{summary_text}}\"\nPytanie: jaka jest zależność między fragmentami 1 i 2?\nMożliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - dotyczą tego samego artykułu\nC - dotyczą różnych artykułów\nD - brak poprawnej odpowiedzi\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    }
+  },
+  "versions": {
+    "belebele_pol_Latn": 0.0,
+    "polemo2_in": 1.0,
+    "polemo2_in_multiple_choice": "Yaml",
+    "polemo2_out": 1.0,
+    "polemo2_out_multiple_choice": "Yaml",
+    "polish": "N/A",
+    "polish_8tags_multiple_choice": "Yaml",
+    "polish_8tags_regex": "Yaml",
+    "polish_belebele_regex": "Yaml",
+    "polish_dyk_multiple_choice": "Yaml",
+    "polish_dyk_regex": "Yaml",
+    "polish_ppc_multiple_choice": "Yaml",
+    "polish_ppc_regex": "Yaml",
+    "polish_psc_multiple_choice": "Yaml",
+    "polish_psc_regex": "Yaml"
+  },
+  "n-shot": {
+    "belebele_pol_Latn": 5,
+    "polemo2_in": 5,
+    "polemo2_in_multiple_choice": 5,
+    "polemo2_out": 5,
+    "polemo2_out_multiple_choice": 5,
+    "polish": 5,
+    "polish_8tags_multiple_choice": 5,
+    "polish_8tags_regex": 5,
+    "polish_belebele_regex": 5,
+    "polish_dyk_multiple_choice": 5,
+    "polish_dyk_regex": 5,
+    "polish_ppc_multiple_choice": 5,
+    "polish_ppc_regex": 5,
+    "polish_psc_multiple_choice": 5,
+    "polish_psc_regex": 5
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=mistralai/Mistral-7B-v0.1,load_in_4bit=True",
+    "batch_size": "1",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}

polish_benchmarks-out14/results_Mistral-7B-v0.1-0_polish/results.json

@@ -0,0 +1,747 @@
+{
+  "results": {
+    "polish": {
+      "acc,none": 0.36735172525836796,
+      "acc_stderr,none": 0.0038509677725416733,
+      "acc_norm,none": 0.4663147839437283,
+      "acc_norm_stderr,none": 0.0038461601230822184,
+      "exact_match,score-first": 0.3178566795480225,
+      "exact_match_stderr,score-first": 0.11809034149086765,
+      "alias": "polish"
+    },
+    "belebele_pol_Latn": {
+      "acc,none": 0.3933333333333333,
+      "acc_stderr,none": 0.016292044853162806,
+      "acc_norm,none": 0.3933333333333333,
+      "acc_norm_stderr,none": 0.016292044853162806,
+      "alias": " - belebele_pol_Latn"
+    },
+    "polemo2_in": {
+      "exact_match,score-first": 0.19806094182825484,
+      "exact_match_stderr,score-first": 0.014842343237320114,
+      "alias": " - polemo2_in"
+    },
+    "polemo2_in_multiple_choice": {
+      "acc,none": 0.6426592797783933,
+      "acc_stderr,none": 0.017846950263101943,
+      "acc_norm,none": 0.5581717451523546,
+      "acc_norm_stderr,none": 0.018494518739140306,
+      "alias": " - polemo2_in_multiple_choice"
+    },
+    "polemo2_out": {
+      "exact_match,score-first": 0.20242914979757085,
+      "exact_match_stderr,score-first": 0.018096629806809615,
+      "alias": " - polemo2_out"
+    },
+    "polemo2_out_multiple_choice": {
+      "acc,none": 0.5101214574898786,
+      "acc_stderr,none": 0.022514253141506547,
+      "acc_norm,none": 0.631578947368421,
+      "acc_norm_stderr,none": 0.021725139932578092,
+      "alias": " - polemo2_out_multiple_choice"
+    },
+    "polish_8tags_multiple_choice": {
+      "acc,none": 0.27950594693504116,
+      "acc_stderr,none": 0.006787663803150213,
+      "acc_norm,none": 0.4961116193961574,
+      "acc_norm_stderr,none": 0.007562518813342989,
+      "alias": " - polish_8tags_multiple_choice"
+    },
+    "polish_8tags_regex": {
+      "exact_match,score-first": 0.5205855443732845,
+      "exact_match_stderr,score-first": 0.0075563351383856545,
+      "alias": " - polish_8tags_regex"
+    },
+    "polish_belebele_regex": {
+      "exact_match,score-first": 0.5488888888888889,
+      "exact_match_stderr,score-first": 0.016596027123632052,
+      "alias": " - polish_belebele_regex"
+    },
+    "polish_dyk_multiple_choice": {
+      "acc,none": 0.3304178814382896,
+      "acc_stderr,none": 0.014670237249523797,
+      "acc_norm,none": 0.3304178814382896,
+      "acc_norm_stderr,none": 0.014670237249523797,
+      "alias": " - polish_dyk_multiple_choice"
+    },
+    "polish_dyk_regex": {
+      "exact_match,score-first": 0.06316812439261418,
+      "exact_match_stderr,score-first": 0.007587230238881371,
+      "alias": " - polish_dyk_regex"
+    },
+    "polish_ppc_multiple_choice": {
+      "acc,none": 0.394,
+      "acc_stderr,none": 0.015459721957493379,
+      "acc_norm,none": 0.394,
+      "acc_norm_stderr,none": 0.015459721957493379,
+      "alias": " - polish_ppc_multiple_choice"
+    },
+    "polish_ppc_regex": {
+      "exact_match,score-first": 0.378,
+      "exact_match_stderr,score-first": 0.015341165254026642,
+      "alias": " - polish_ppc_regex"
+    },
+    "polish_psc_multiple_choice": {
+      "acc,none": 0.4202226345083488,
+      "acc_stderr,none": 0.015040507729236048,
+      "acc_norm,none": 0.4202226345083488,
+      "acc_norm_stderr,none": 0.015040507729236048,
+      "alias": " - polish_psc_multiple_choice"
+    },
+    "polish_psc_regex": {
+      "exact_match,score-first": 0.33302411873840443,
+      "exact_match_stderr,score-first": 0.014361012392990771,
+      "alias": " - polish_psc_regex"
+    }
+  },
+  "groups": {
+    "polish": {
+      "acc,none": 0.36735172525836796,
+      "acc_stderr,none": 0.0038509677725416733,
+      "acc_norm,none": 0.4663147839437283,
+      "acc_norm_stderr,none": 0.0038461601230822184,
+      "exact_match,score-first": 0.3178566795480225,
+      "exact_match_stderr,score-first": 0.11809034149086765,
+      "alias": "polish"
+    }
+  },
+  "configs": {
+    "belebele_pol_Latn": {
+      "task": "belebele_pol_Latn",
+      "group": "belebele",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "fewshot_split": "pol_Latn",
+      "doc_to_text": "P: {{flores_passage}}\nQ: {{question.strip()}}\nA: {{mc_answer1}}\nB: {{mc_answer2}}\nC: {{mc_answer3}}\nD: {{mc_answer4}}\nAnswer：",
+      "doc_to_target": "{{['1', '2', '3', '4'].index(correct_answer_num)}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C",
+        "D"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "fewshot_config": {
+        "sampler": "first_n"
+      },
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}}",
+      "metadata": {
+        "version": 0.0
+      }
+    },
+    "polemo2_in": {
+      "task": "polemo2_in",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_in_multiple_choice": {
+      "task": "polemo2_in_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polemo2_out": {
+      "task": "polemo2_out",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_out_multiple_choice": {
+      "task": "polemo2_out_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_multiple_choice": {
+      "task": "polish_8tags_multiple_choice",
+      "dataset_path": "djstrong/8tags",
+      "training_split": "train",
+      "test_split": "test",
+      "fewshot_split": "train",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nDo podanego tytułu przyporządkuj jedną najlepiej pasującą kategorię z podanych: Film, Historia, Jedzenie, Medycyna, Motoryzacja, Praca, Sport, Technologie.\nKategoria:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Film",
+        "Historia",
+        "Jedzenie",
+        "Medycyna",
+        "Motoryzacja",
+        "Praca",
+        "Sport",
+        "Technologie"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_regex": {
+      "task": "polish_8tags_regex",
+      "dataset_path": "sdadas/8tags",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nPytanie: jaka kategoria najlepiej pasuje do podanego tytułu?\nMożliwe odpowiedzi:\nA - film\nB - historia\nC - jedzenie\nD - medycyna\nE - motoryzacja\nF - praca\nG - sport\nH - technologie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D', 4: 'E', 5: 'F', 6: 'G', 7: 'H'}.get(label)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCDEFGH]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_belebele_regex": {
+      "task": "polish_belebele_regex",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "doc_to_text": "Fragment: \"{{flores_passage}}\"\nPytanie: \"{{question}}\"\nMożliwe odpowiedzi:\nA - {{mc_answer1}}\nB - {{mc_answer2}}\nC - {{mc_answer3}}\nD - {{mc_answer4}}\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(correct_answer_num|int - 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{flores_passage}} {{question}} {{mc_answer1}} {{mc_answer2}} {{mc_answer3}} {{mc_answer4}}"
+    },
+    "polish_dyk_multiple_choice": {
+      "task": "polish_dyk_multiple_choice",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nPytanie: Czy sugerowana odpowiedź na zadane pytanie jest poprawna?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{target|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_dyk_regex": {
+      "task": "polish_dyk_regex",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nCzy sugerowana odpowiedź na zadane pytanie jest poprawna? Możliwe opcje:\nA - brakuje sugerowanej odpowiedzi\nB - nie, sugerowana odpowiedź nie jest poprawna\nC - tak, sugerowana odpowiedź jest poprawna\nD - brakuje pytania\nPrawidłowa opcja:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(target|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_ppc_multiple_choice": {
+      "task": "polish_ppc_multiple_choice",
+      "dataset_path": "djstrong/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - znaczą dokładnie to samo\nB - mają podobne znaczenie\nC - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int - 1}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_ppc_regex": {
+      "task": "polish_ppc_regex",
+      "dataset_path": "sdadas/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - znaczą dokładnie to samo\nC - mają podobne znaczenie\nD - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_psc_multiple_choice": {
+      "task": "polish_psc_multiple_choice",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Tekst: \"{{extract_text}}\"\nPodsumowanie: \"{{summary_text}}\"\nPytanie: Czy podsumowanie dla podanego tekstu jest poprawne?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    },
+    "polish_psc_regex": {
+      "task": "polish_psc_regex",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Fragment 1: \"{{extract_text}}\"\nFragment 2: \"{{summary_text}}\"\nPytanie: jaka jest zależność między fragmentami 1 i 2?\nMożliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - dotyczą tego samego artykułu\nC - dotyczą różnych artykułów\nD - brak poprawnej odpowiedzi\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    }
+  },
+  "versions": {
+    "belebele_pol_Latn": 0.0,
+    "polemo2_in": 1.0,
+    "polemo2_in_multiple_choice": "Yaml",
+    "polemo2_out": 1.0,
+    "polemo2_out_multiple_choice": "Yaml",
+    "polish": "N/A",
+    "polish_8tags_multiple_choice": "Yaml",
+    "polish_8tags_regex": "Yaml",
+    "polish_belebele_regex": "Yaml",
+    "polish_dyk_multiple_choice": "Yaml",
+    "polish_dyk_regex": "Yaml",
+    "polish_ppc_multiple_choice": "Yaml",
+    "polish_ppc_regex": "Yaml",
+    "polish_psc_multiple_choice": "Yaml",
+    "polish_psc_regex": "Yaml"
+  },
+  "n-shot": {
+    "belebele_pol_Latn": 0,
+    "polemo2_in": 0,
+    "polemo2_in_multiple_choice": 0,
+    "polemo2_out": 0,
+    "polemo2_out_multiple_choice": 0,
+    "polish": 0,
+    "polish_8tags_multiple_choice": 0,
+    "polish_8tags_regex": 0,
+    "polish_belebele_regex": 0,
+    "polish_dyk_multiple_choice": 0,
+    "polish_dyk_regex": 0,
+    "polish_ppc_multiple_choice": 0,
+    "polish_ppc_regex": 0,
+    "polish_psc_multiple_choice": 0,
+    "polish_psc_regex": 0
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=mistralai/Mistral-7B-v0.1,load_in_8bit=True",
+    "batch_size": "32",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}

polish_benchmarks-out15/results_Mistral-7B-Instruct-v0.1-0_polish/results.json

@@ -0,0 +1,747 @@
+{
+  "results": {
+    "polish": {
+      "acc,none": 0.49398389283315836,
+      "acc_stderr,none": 0.012858915217951268,
+      "acc_norm,none": 0.46690518138156606,
+      "acc_norm_stderr,none": 0.009764315476783709,
+      "exact_match,score-first": 0.49718012068426903,
+      "exact_match_stderr,score-first": 0.05661357060141459,
+      "alias": "polish"
+    },
+    "belebele_pol_Latn": {
+      "acc,none": 0.3888888888888889,
+      "acc_stderr,none": 0.016258969321955846,
+      "acc_norm,none": 0.3888888888888889,
+      "acc_norm_stderr,none": 0.016258969321955846,
+      "alias": " - belebele_pol_Latn"
+    },
+    "polemo2_in": {
+      "exact_match,score-first": 0.49445983379501385,
+      "exact_match_stderr,score-first": 0.0186198299495111,
+      "alias": " - polemo2_in"
+    },
+    "polemo2_in_multiple_choice": {
+      "acc,none": 0.6426592797783933,
+      "acc_stderr,none": 0.017846950263101905,
+      "acc_norm,none": 0.5484764542936288,
+      "acc_norm_stderr,none": 0.018533249102656933,
+      "alias": " - polemo2_in_multiple_choice"
+    },
+    "polemo2_out": {
+      "exact_match,score-first": 0.5060728744939271,
+      "exact_match_stderr,score-first": 0.02251720641142702,
+      "alias": " - polemo2_out"
+    },
+    "polemo2_out_multiple_choice": {
+      "acc,none": 0.6295546558704453,
+      "acc_stderr,none": 0.02174980315792073,
+      "acc_norm,none": 0.6153846153846154,
+      "acc_norm_stderr,none": 0.021911049688303364,
+      "alias": " - polemo2_out_multiple_choice"
+    },
+    "polish_8tags_multiple_choice": {
+      "acc,none": 0.576395242451967,
+      "acc_stderr,none": 0.007473950290939037,
+      "acc_norm,none": 0.5384263494967978,
+      "acc_norm_stderr,none": 0.007540380361885667,
+      "alias": " - polish_8tags_multiple_choice"
+    },
+    "polish_8tags_regex": {
+      "exact_match,score-first": 0.5548947849954254,
+      "exact_match_stderr,score-first": 0.007517029588350812,
+      "alias": " - polish_8tags_regex"
+    },
+    "polish_belebele_regex": {
+      "exact_match,score-first": 0.43333333333333335,
+      "exact_match_stderr,score-first": 0.016527038403575993,
+      "alias": " - polish_belebele_regex"
+    },
+    "polish_dyk_multiple_choice": {
+      "acc,none": 0.16909620991253643,
+      "acc_stderr,none": 0.011690840877120627,
+      "acc_norm,none": 0.16909620991253643,
+      "acc_norm_stderr,none": 0.011690840877120627,
+      "alias": " - polish_dyk_multiple_choice"
+    },
+    "polish_dyk_regex": {
+      "exact_match,score-first": 0.47230320699708456,
+      "exact_match_stderr,score-first": 0.015570627580366102,
+      "alias": " - polish_dyk_regex"
+    },
+    "polish_ppc_multiple_choice": {
+      "acc,none": 0.411,
+      "acc_stderr,none": 0.015566673418599271,
+      "acc_norm,none": 0.411,
+      "acc_norm_stderr,none": 0.015566673418599271,
+      "alias": " - polish_ppc_multiple_choice"
+    },
+    "polish_ppc_regex": {
+      "exact_match,score-first": 0.517,
+      "exact_match_stderr,score-first": 0.015810153729833427,
+      "alias": " - polish_ppc_regex"
+    },
+    "polish_psc_multiple_choice": {
+      "acc,none": 0.3042671614100185,
+      "acc_stderr,none": 0.014019771683156095,
+      "acc_norm,none": 0.3042671614100185,
+      "acc_norm_stderr,none": 0.014019771683156095,
+      "alias": " - polish_psc_multiple_choice"
+    },
+    "polish_psc_regex": {
+      "exact_match,score-first": 0.2894248608534323,
+      "exact_match_stderr,score-first": 0.013818632569955733,
+      "alias": " - polish_psc_regex"
+    }
+  },
+  "groups": {
+    "polish": {
+      "acc,none": 0.49398389283315836,
+      "acc_stderr,none": 0.012858915217951268,
+      "acc_norm,none": 0.46690518138156606,
+      "acc_norm_stderr,none": 0.009764315476783709,
+      "exact_match,score-first": 0.49718012068426903,
+      "exact_match_stderr,score-first": 0.05661357060141459,
+      "alias": "polish"
+    }
+  },
+  "configs": {
+    "belebele_pol_Latn": {
+      "task": "belebele_pol_Latn",
+      "group": "belebele",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "fewshot_split": "pol_Latn",
+      "doc_to_text": "P: {{flores_passage}}\nQ: {{question.strip()}}\nA: {{mc_answer1}}\nB: {{mc_answer2}}\nC: {{mc_answer3}}\nD: {{mc_answer4}}\nAnswer：",
+      "doc_to_target": "{{['1', '2', '3', '4'].index(correct_answer_num)}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C",
+        "D"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "fewshot_config": {
+        "sampler": "first_n"
+      },
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}}",
+      "metadata": {
+        "version": 0.0
+      }
+    },
+    "polemo2_in": {
+      "task": "polemo2_in",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_in_multiple_choice": {
+      "task": "polemo2_in_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polemo2_out": {
+      "task": "polemo2_out",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_out_multiple_choice": {
+      "task": "polemo2_out_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_multiple_choice": {
+      "task": "polish_8tags_multiple_choice",
+      "dataset_path": "djstrong/8tags",
+      "training_split": "train",
+      "test_split": "test",
+      "fewshot_split": "train",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nDo podanego tytułu przyporządkuj jedną najlepiej pasującą kategorię z podanych: Film, Historia, Jedzenie, Medycyna, Motoryzacja, Praca, Sport, Technologie.\nKategoria:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Film",
+        "Historia",
+        "Jedzenie",
+        "Medycyna",
+        "Motoryzacja",
+        "Praca",
+        "Sport",
+        "Technologie"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_regex": {
+      "task": "polish_8tags_regex",
+      "dataset_path": "sdadas/8tags",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nPytanie: jaka kategoria najlepiej pasuje do podanego tytułu?\nMożliwe odpowiedzi:\nA - film\nB - historia\nC - jedzenie\nD - medycyna\nE - motoryzacja\nF - praca\nG - sport\nH - technologie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D', 4: 'E', 5: 'F', 6: 'G', 7: 'H'}.get(label)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCDEFGH]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_belebele_regex": {
+      "task": "polish_belebele_regex",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "doc_to_text": "Fragment: \"{{flores_passage}}\"\nPytanie: \"{{question}}\"\nMożliwe odpowiedzi:\nA - {{mc_answer1}}\nB - {{mc_answer2}}\nC - {{mc_answer3}}\nD - {{mc_answer4}}\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(correct_answer_num|int - 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{flores_passage}} {{question}} {{mc_answer1}} {{mc_answer2}} {{mc_answer3}} {{mc_answer4}}"
+    },
+    "polish_dyk_multiple_choice": {
+      "task": "polish_dyk_multiple_choice",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nPytanie: Czy sugerowana odpowiedź na zadane pytanie jest poprawna?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{target|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_dyk_regex": {
+      "task": "polish_dyk_regex",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nCzy sugerowana odpowiedź na zadane pytanie jest poprawna? Możliwe opcje:\nA - brakuje sugerowanej odpowiedzi\nB - nie, sugerowana odpowiedź nie jest poprawna\nC - tak, sugerowana odpowiedź jest poprawna\nD - brakuje pytania\nPrawidłowa opcja:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(target|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_ppc_multiple_choice": {
+      "task": "polish_ppc_multiple_choice",
+      "dataset_path": "djstrong/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - znaczą dokładnie to samo\nB - mają podobne znaczenie\nC - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int - 1}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_ppc_regex": {
+      "task": "polish_ppc_regex",
+      "dataset_path": "sdadas/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - znaczą dokładnie to samo\nC - mają podobne znaczenie\nD - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_psc_multiple_choice": {
+      "task": "polish_psc_multiple_choice",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Tekst: \"{{extract_text}}\"\nPodsumowanie: \"{{summary_text}}\"\nPytanie: Czy podsumowanie dla podanego tekstu jest poprawne?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    },
+    "polish_psc_regex": {
+      "task": "polish_psc_regex",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Fragment 1: \"{{extract_text}}\"\nFragment 2: \"{{summary_text}}\"\nPytanie: jaka jest zależność między fragmentami 1 i 2?\nMożliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - dotyczą tego samego artykułu\nC - dotyczą różnych artykułów\nD - brak poprawnej odpowiedzi\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    }
+  },
+  "versions": {
+    "belebele_pol_Latn": 0.0,
+    "polemo2_in": 1.0,
+    "polemo2_in_multiple_choice": "Yaml",
+    "polemo2_out": 1.0,
+    "polemo2_out_multiple_choice": "Yaml",
+    "polish": "N/A",
+    "polish_8tags_multiple_choice": "Yaml",
+    "polish_8tags_regex": "Yaml",
+    "polish_belebele_regex": "Yaml",
+    "polish_dyk_multiple_choice": "Yaml",
+    "polish_dyk_regex": "Yaml",
+    "polish_ppc_multiple_choice": "Yaml",
+    "polish_ppc_regex": "Yaml",
+    "polish_psc_multiple_choice": "Yaml",
+    "polish_psc_regex": "Yaml"
+  },
+  "n-shot": {
+    "belebele_pol_Latn": 0,
+    "polemo2_in": 0,
+    "polemo2_in_multiple_choice": 0,
+    "polemo2_out": 0,
+    "polemo2_out_multiple_choice": 0,
+    "polish": 0,
+    "polish_8tags_multiple_choice": 0,
+    "polish_8tags_regex": 0,
+    "polish_belebele_regex": 0,
+    "polish_dyk_multiple_choice": 0,
+    "polish_dyk_regex": 0,
+    "polish_ppc_multiple_choice": 0,
+    "polish_ppc_regex": 0,
+    "polish_psc_multiple_choice": 0,
+    "polish_psc_regex": 0
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=mistralai/Mistral-7B-Instruct-v0.1",
+    "batch_size": "1",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}

polish_benchmarks-out15/results_Mistral-7B-Instruct-v0.1-5_polish/results.json

@@ -0,0 +1,747 @@
+{
+  "results": {
+    "polish": {
+      "acc,none": 0.6462052618292959,
+      "acc_stderr,none": 0.0015615769015835921,
+      "acc_norm,none": 0.6389874814590853,
+      "acc_norm_stderr,none": 0.001474434059209013,
+      "exact_match,score-first": 0.6367861534741802,
+      "exact_match_stderr,score-first": 0.06797895137677959,
+      "alias": "polish"
+    },
+    "belebele_pol_Latn": {
+      "acc,none": 0.56,
+      "acc_stderr,none": 0.016555431546228898,
+      "acc_norm,none": 0.56,
+      "acc_norm_stderr,none": 0.016555431546228898,
+      "alias": " - belebele_pol_Latn"
+    },
+    "polemo2_in": {
+      "exact_match,score-first": 0.6371191135734072,
+      "exact_match_stderr,score-first": 0.017907078257599084,
+      "alias": " - polemo2_in"
+    },
+    "polemo2_in_multiple_choice": {
+      "acc,none": 0.6454293628808865,
+      "acc_stderr,none": 0.017815914141239345,
+      "acc_norm,none": 0.6121883656509696,
+      "acc_norm_stderr,none": 0.018146184424594067,
+      "alias": " - polemo2_in_multiple_choice"
+    },
+    "polemo2_out": {
+      "exact_match,score-first": 0.631578947368421,
+      "exact_match_stderr,score-first": 0.021725139932578096,
+      "alias": " - polemo2_out"
+    },
+    "polemo2_out_multiple_choice": {
+      "acc,none": 0.6396761133603239,
+      "acc_stderr,none": 0.021622361995133323,
+      "acc_norm,none": 0.631578947368421,
+      "acc_norm_stderr,none": 0.021725139932578092,
+      "alias": " - polemo2_out_multiple_choice"
+    },
+    "polish_8tags_multiple_choice": {
+      "acc,none": 0.6825251601097896,
+      "acc_stderr,none": 0.0070408255818903516,
+      "acc_norm,none": 0.67451967063129,
+      "acc_norm_stderr,none": 0.007087111733661532,
+      "alias": " - polish_8tags_multiple_choice"
+    },
+    "polish_8tags_regex": {
+      "exact_match,score-first": 0.6690301921317475,
+      "exact_match_stderr,score-first": 0.007117486371656686,
+      "alias": " - polish_8tags_regex"
+    },
+    "polish_belebele_regex": {
+      "exact_match,score-first": 0.5166666666666667,
+      "exact_match_stderr,score-first": 0.016666666666666774,
+      "alias": " - polish_belebele_regex"
+    },
+    "polish_dyk_multiple_choice": {
+      "acc,none": 0.7482993197278912,
+      "acc_stderr,none": 0.01353578079370368,
+      "acc_norm,none": 0.7482993197278912,
+      "acc_norm_stderr,none": 0.01353578079370368,
+      "alias": " - polish_dyk_multiple_choice"
+    },
+    "polish_dyk_regex": {
+      "exact_match,score-first": 0.7978620019436345,
+      "exact_match_stderr,score-first": 0.012525391634647394,
+      "alias": " - polish_dyk_regex"
+    },
+    "polish_ppc_multiple_choice": {
+      "acc,none": 0.609,
+      "acc_stderr,none": 0.015438826294681787,
+      "acc_norm,none": 0.609,
+      "acc_norm_stderr,none": 0.015438826294681787,
+      "alias": " - polish_ppc_multiple_choice"
+    },
+    "polish_ppc_regex": {
+      "exact_match,score-first": 0.637,
+      "exact_match_stderr,score-first": 0.015213890444671288,
+      "alias": " - polish_ppc_regex"
+    },
+    "polish_psc_multiple_choice": {
+      "acc,none": 0.5974025974025974,
+      "acc_stderr,none": 0.014943804796035598,
+      "acc_norm,none": 0.5974025974025974,
+      "acc_norm_stderr,none": 0.014943804796035598,
+      "alias": " - polish_psc_multiple_choice"
+    },
+    "polish_psc_regex": {
+      "exact_match,score-first": 0.43042671614100186,
+      "exact_match_stderr,score-first": 0.015087474995477622,
+      "alias": " - polish_psc_regex"
+    }
+  },
+  "groups": {
+    "polish": {
+      "acc,none": 0.6462052618292959,
+      "acc_stderr,none": 0.0015615769015835921,
+      "acc_norm,none": 0.6389874814590853,
+      "acc_norm_stderr,none": 0.001474434059209013,
+      "exact_match,score-first": 0.6367861534741802,
+      "exact_match_stderr,score-first": 0.06797895137677959,
+      "alias": "polish"
+    }
+  },
+  "configs": {
+    "belebele_pol_Latn": {
+      "task": "belebele_pol_Latn",
+      "group": "belebele",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "fewshot_split": "pol_Latn",
+      "doc_to_text": "P: {{flores_passage}}\nQ: {{question.strip()}}\nA: {{mc_answer1}}\nB: {{mc_answer2}}\nC: {{mc_answer3}}\nD: {{mc_answer4}}\nAnswer：",
+      "doc_to_target": "{{['1', '2', '3', '4'].index(correct_answer_num)}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C",
+        "D"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "fewshot_config": {
+        "sampler": "first_n"
+      },
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}}",
+      "metadata": {
+        "version": 0.0
+      }
+    },
+    "polemo2_in": {
+      "task": "polemo2_in",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_in_multiple_choice": {
+      "task": "polemo2_in_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polemo2_out": {
+      "task": "polemo2_out",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_out_multiple_choice": {
+      "task": "polemo2_out_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_multiple_choice": {
+      "task": "polish_8tags_multiple_choice",
+      "dataset_path": "djstrong/8tags",
+      "training_split": "train",
+      "test_split": "test",
+      "fewshot_split": "train",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nDo podanego tytułu przyporządkuj jedną najlepiej pasującą kategorię z podanych: Film, Historia, Jedzenie, Medycyna, Motoryzacja, Praca, Sport, Technologie.\nKategoria:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Film",
+        "Historia",
+        "Jedzenie",
+        "Medycyna",
+        "Motoryzacja",
+        "Praca",
+        "Sport",
+        "Technologie"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_regex": {
+      "task": "polish_8tags_regex",
+      "dataset_path": "sdadas/8tags",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nPytanie: jaka kategoria najlepiej pasuje do podanego tytułu?\nMożliwe odpowiedzi:\nA - film\nB - historia\nC - jedzenie\nD - medycyna\nE - motoryzacja\nF - praca\nG - sport\nH - technologie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D', 4: 'E', 5: 'F', 6: 'G', 7: 'H'}.get(label)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCDEFGH]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_belebele_regex": {
+      "task": "polish_belebele_regex",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "doc_to_text": "Fragment: \"{{flores_passage}}\"\nPytanie: \"{{question}}\"\nMożliwe odpowiedzi:\nA - {{mc_answer1}}\nB - {{mc_answer2}}\nC - {{mc_answer3}}\nD - {{mc_answer4}}\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(correct_answer_num|int - 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{flores_passage}} {{question}} {{mc_answer1}} {{mc_answer2}} {{mc_answer3}} {{mc_answer4}}"
+    },
+    "polish_dyk_multiple_choice": {
+      "task": "polish_dyk_multiple_choice",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nPytanie: Czy sugerowana odpowiedź na zadane pytanie jest poprawna?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{target|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_dyk_regex": {
+      "task": "polish_dyk_regex",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nCzy sugerowana odpowiedź na zadane pytanie jest poprawna? Możliwe opcje:\nA - brakuje sugerowanej odpowiedzi\nB - nie, sugerowana odpowiedź nie jest poprawna\nC - tak, sugerowana odpowiedź jest poprawna\nD - brakuje pytania\nPrawidłowa opcja:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(target|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_ppc_multiple_choice": {
+      "task": "polish_ppc_multiple_choice",
+      "dataset_path": "djstrong/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - znaczą dokładnie to samo\nB - mają podobne znaczenie\nC - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int - 1}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_ppc_regex": {
+      "task": "polish_ppc_regex",
+      "dataset_path": "sdadas/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - znaczą dokładnie to samo\nC - mają podobne znaczenie\nD - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_psc_multiple_choice": {
+      "task": "polish_psc_multiple_choice",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Tekst: \"{{extract_text}}\"\nPodsumowanie: \"{{summary_text}}\"\nPytanie: Czy podsumowanie dla podanego tekstu jest poprawne?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    },
+    "polish_psc_regex": {
+      "task": "polish_psc_regex",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Fragment 1: \"{{extract_text}}\"\nFragment 2: \"{{summary_text}}\"\nPytanie: jaka jest zależność między fragmentami 1 i 2?\nMożliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - dotyczą tego samego artykułu\nC - dotyczą różnych artykułów\nD - brak poprawnej odpowiedzi\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    }
+  },
+  "versions": {
+    "belebele_pol_Latn": 0.0,
+    "polemo2_in": 1.0,
+    "polemo2_in_multiple_choice": "Yaml",
+    "polemo2_out": 1.0,
+    "polemo2_out_multiple_choice": "Yaml",
+    "polish": "N/A",
+    "polish_8tags_multiple_choice": "Yaml",
+    "polish_8tags_regex": "Yaml",
+    "polish_belebele_regex": "Yaml",
+    "polish_dyk_multiple_choice": "Yaml",
+    "polish_dyk_regex": "Yaml",
+    "polish_ppc_multiple_choice": "Yaml",
+    "polish_ppc_regex": "Yaml",
+    "polish_psc_multiple_choice": "Yaml",
+    "polish_psc_regex": "Yaml"
+  },
+  "n-shot": {
+    "belebele_pol_Latn": 5,
+    "polemo2_in": 5,
+    "polemo2_in_multiple_choice": 5,
+    "polemo2_out": 5,
+    "polemo2_out_multiple_choice": 5,
+    "polish": 5,
+    "polish_8tags_multiple_choice": 5,
+    "polish_8tags_regex": 5,
+    "polish_belebele_regex": 5,
+    "polish_dyk_multiple_choice": 5,
+    "polish_dyk_regex": 5,
+    "polish_ppc_multiple_choice": 5,
+    "polish_ppc_regex": 5,
+    "polish_psc_multiple_choice": 5,
+    "polish_psc_regex": 5
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=mistralai/Mistral-7B-Instruct-v0.1",
+    "batch_size": "1",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}

polish_benchmarks-out15/results_phi-2-0_polish/results.json

@@ -0,0 +1,747 @@
+{
+  "results": {
+    "polish": {
+      "acc,none": 0.27007257007836166,
+      "acc_stderr,none": 0.03582238048710471,
+      "acc_norm,none": 0.285109793494696,
+      "acc_norm_stderr,none": 0.03337929811581892,
+      "exact_match,score-first": 0.11447466303954626,
+      "exact_match_stderr,score-first": 0.0650463530525679,
+      "alias": "polish"
+    },
+    "belebele_pol_Latn": {
+      "acc,none": 0.2788888888888889,
+      "acc_stderr,none": 0.014956736888683079,
+      "acc_norm,none": 0.2788888888888889,
+      "acc_norm_stderr,none": 0.014956736888683079,
+      "alias": " - belebele_pol_Latn"
+    },
+    "polemo2_in": {
+      "exact_match,score-first": 0.16204986149584488,
+      "exact_match_stderr,score-first": 0.013723528490778158,
+      "alias": " - polemo2_in"
+    },
+    "polemo2_in_multiple_choice": {
+      "acc,none": 0.16204986149584488,
+      "acc_stderr,none": 0.013723528490778158,
+      "acc_norm,none": 0.16066481994459833,
+      "acc_norm_stderr,none": 0.01367604360268079,
+      "alias": " - polemo2_in_multiple_choice"
+    },
+    "polemo2_out": {
+      "exact_match,score-first": 0.0020242914979757085,
+      "exact_match_stderr,score-first": 0.0020242914979757094,
+      "alias": " - polemo2_out"
+    },
+    "polemo2_out_multiple_choice": {
+      "acc,none": 0.0020242914979757085,
+      "acc_stderr,none": 0.0020242914979757094,
+      "acc_norm,none": 0.01417004048582996,
+      "acc_norm_stderr,none": 0.0053230812117738635,
+      "alias": " - polemo2_out_multiple_choice"
+    },
+    "polish_8tags_multiple_choice": {
+      "acc,none": 0.16628545288197621,
+      "acc_stderr,none": 0.005631776551377185,
+      "acc_norm,none": 0.19762122598353157,
+      "acc_norm_stderr,none": 0.006023044988006115,
+      "alias": " - polish_8tags_multiple_choice"
+    },
+    "polish_8tags_regex": {
+      "exact_match,score-first": 0.12580054894784995,
+      "exact_match_stderr,score-first": 0.005015983850697009,
+      "alias": " - polish_8tags_regex"
+    },
+    "polish_belebele_regex": {
+      "exact_match,score-first": 0.23444444444444446,
+      "exact_match_stderr,score-first": 0.01412955496811077,
+      "alias": " - polish_belebele_regex"
+    },
+    "polish_dyk_multiple_choice": {
+      "acc,none": 0.8299319727891157,
+      "acc_stderr,none": 0.011717528745193611,
+      "acc_norm,none": 0.8299319727891157,
+      "acc_norm_stderr,none": 0.011717528745193611,
+      "alias": " - polish_dyk_multiple_choice"
+    },
+    "polish_dyk_regex": {
+      "exact_match,score-first": 0.0,
+      "exact_match_stderr,score-first": 0.0,
+      "alias": " - polish_dyk_regex"
+    },
+    "polish_ppc_multiple_choice": {
+      "acc,none": 0.419,
+      "acc_stderr,none": 0.015610338967577795,
+      "acc_norm,none": 0.419,
+      "acc_norm_stderr,none": 0.015610338967577795,
+      "alias": " - polish_ppc_multiple_choice"
+    },
+    "polish_ppc_regex": {
+      "exact_match,score-first": 0.0,
+      "exact_match_stderr,score-first": 0.0,
+      "alias": " - polish_ppc_regex"
+    },
+    "polish_psc_multiple_choice": {
+      "acc,none": 0.6957328385899815,
+      "acc_stderr,none": 0.014019771683156095,
+      "acc_norm,none": 0.6957328385899815,
+      "acc_norm_stderr,none": 0.014019771683156095,
+      "alias": " - polish_psc_multiple_choice"
+    },
+    "polish_psc_regex": {
+      "exact_match,score-first": 0.0,
+      "exact_match_stderr,score-first": 0.0,
+      "alias": " - polish_psc_regex"
+    }
+  },
+  "groups": {
+    "polish": {
+      "acc,none": 0.27007257007836166,
+      "acc_stderr,none": 0.03582238048710471,
+      "acc_norm,none": 0.285109793494696,
+      "acc_norm_stderr,none": 0.03337929811581892,
+      "exact_match,score-first": 0.11447466303954626,
+      "exact_match_stderr,score-first": 0.0650463530525679,
+      "alias": "polish"
+    }
+  },
+  "configs": {
+    "belebele_pol_Latn": {
+      "task": "belebele_pol_Latn",
+      "group": "belebele",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "fewshot_split": "pol_Latn",
+      "doc_to_text": "P: {{flores_passage}}\nQ: {{question.strip()}}\nA: {{mc_answer1}}\nB: {{mc_answer2}}\nC: {{mc_answer3}}\nD: {{mc_answer4}}\nAnswer：",
+      "doc_to_target": "{{['1', '2', '3', '4'].index(correct_answer_num)}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C",
+        "D"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "fewshot_config": {
+        "sampler": "first_n"
+      },
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}}",
+      "metadata": {
+        "version": 0.0
+      }
+    },
+    "polemo2_in": {
+      "task": "polemo2_in",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_in_multiple_choice": {
+      "task": "polemo2_in_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polemo2_out": {
+      "task": "polemo2_out",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_out_multiple_choice": {
+      "task": "polemo2_out_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_multiple_choice": {
+      "task": "polish_8tags_multiple_choice",
+      "dataset_path": "djstrong/8tags",
+      "training_split": "train",
+      "test_split": "test",
+      "fewshot_split": "train",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nDo podanego tytułu przyporządkuj jedną najlepiej pasującą kategorię z podanych: Film, Historia, Jedzenie, Medycyna, Motoryzacja, Praca, Sport, Technologie.\nKategoria:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Film",
+        "Historia",
+        "Jedzenie",
+        "Medycyna",
+        "Motoryzacja",
+        "Praca",
+        "Sport",
+        "Technologie"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_regex": {
+      "task": "polish_8tags_regex",
+      "dataset_path": "sdadas/8tags",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nPytanie: jaka kategoria najlepiej pasuje do podanego tytułu?\nMożliwe odpowiedzi:\nA - film\nB - historia\nC - jedzenie\nD - medycyna\nE - motoryzacja\nF - praca\nG - sport\nH - technologie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D', 4: 'E', 5: 'F', 6: 'G', 7: 'H'}.get(label)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCDEFGH]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_belebele_regex": {
+      "task": "polish_belebele_regex",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "doc_to_text": "Fragment: \"{{flores_passage}}\"\nPytanie: \"{{question}}\"\nMożliwe odpowiedzi:\nA - {{mc_answer1}}\nB - {{mc_answer2}}\nC - {{mc_answer3}}\nD - {{mc_answer4}}\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(correct_answer_num|int - 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{flores_passage}} {{question}} {{mc_answer1}} {{mc_answer2}} {{mc_answer3}} {{mc_answer4}}"
+    },
+    "polish_dyk_multiple_choice": {
+      "task": "polish_dyk_multiple_choice",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nPytanie: Czy sugerowana odpowiedź na zadane pytanie jest poprawna?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{target|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_dyk_regex": {
+      "task": "polish_dyk_regex",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nCzy sugerowana odpowiedź na zadane pytanie jest poprawna? Możliwe opcje:\nA - brakuje sugerowanej odpowiedzi\nB - nie, sugerowana odpowiedź nie jest poprawna\nC - tak, sugerowana odpowiedź jest poprawna\nD - brakuje pytania\nPrawidłowa opcja:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(target|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_ppc_multiple_choice": {
+      "task": "polish_ppc_multiple_choice",
+      "dataset_path": "djstrong/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - znaczą dokładnie to samo\nB - mają podobne znaczenie\nC - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int - 1}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_ppc_regex": {
+      "task": "polish_ppc_regex",
+      "dataset_path": "sdadas/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - znaczą dokładnie to samo\nC - mają podobne znaczenie\nD - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_psc_multiple_choice": {
+      "task": "polish_psc_multiple_choice",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Tekst: \"{{extract_text}}\"\nPodsumowanie: \"{{summary_text}}\"\nPytanie: Czy podsumowanie dla podanego tekstu jest poprawne?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    },
+    "polish_psc_regex": {
+      "task": "polish_psc_regex",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Fragment 1: \"{{extract_text}}\"\nFragment 2: \"{{summary_text}}\"\nPytanie: jaka jest zależność między fragmentami 1 i 2?\nMożliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - dotyczą tego samego artykułu\nC - dotyczą różnych artykułów\nD - brak poprawnej odpowiedzi\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    }
+  },
+  "versions": {
+    "belebele_pol_Latn": 0.0,
+    "polemo2_in": 1.0,
+    "polemo2_in_multiple_choice": "Yaml",
+    "polemo2_out": 1.0,
+    "polemo2_out_multiple_choice": "Yaml",
+    "polish": "N/A",
+    "polish_8tags_multiple_choice": "Yaml",
+    "polish_8tags_regex": "Yaml",
+    "polish_belebele_regex": "Yaml",
+    "polish_dyk_multiple_choice": "Yaml",
+    "polish_dyk_regex": "Yaml",
+    "polish_ppc_multiple_choice": "Yaml",
+    "polish_ppc_regex": "Yaml",
+    "polish_psc_multiple_choice": "Yaml",
+    "polish_psc_regex": "Yaml"
+  },
+  "n-shot": {
+    "belebele_pol_Latn": 0,
+    "polemo2_in": 0,
+    "polemo2_in_multiple_choice": 0,
+    "polemo2_out": 0,
+    "polemo2_out_multiple_choice": 0,
+    "polish": 0,
+    "polish_8tags_multiple_choice": 0,
+    "polish_8tags_regex": 0,
+    "polish_belebele_regex": 0,
+    "polish_dyk_multiple_choice": 0,
+    "polish_dyk_regex": 0,
+    "polish_ppc_multiple_choice": 0,
+    "polish_ppc_regex": 0,
+    "polish_psc_multiple_choice": 0,
+    "polish_psc_regex": 0
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=microsoft/phi-2",
+    "batch_size": "8",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}

polish_benchmarks-out15/results_phi-2-5_polish/results.json

@@ -0,0 +1,747 @@
+{
+  "results": {
+    "polish": {
+      "acc,none": 0.3691258686580846,
+      "acc_stderr,none": 0.018175209512165027,
+      "acc_norm,none": 0.3731501947501108,
+      "acc_norm_stderr,none": 0.017798235118430115,
+      "exact_match,score-first": 0.31161270116954054,
+      "exact_match_stderr,score-first": 0.08765716963110161,
+      "alias": "polish"
+    },
+    "belebele_pol_Latn": {
+      "acc,none": 0.3188888888888889,
+      "acc_stderr,none": 0.015543500457982978,
+      "acc_norm,none": 0.3188888888888889,
+      "acc_norm_stderr,none": 0.015543500457982978,
+      "alias": " - belebele_pol_Latn"
+    },
+    "polemo2_in": {
+      "exact_match,score-first": 0.3047091412742382,
+      "exact_match_stderr,score-first": 0.017141876783613008,
+      "alias": " - polemo2_in"
+    },
+    "polemo2_in_multiple_choice": {
+      "acc,none": 0.25761772853185594,
+      "acc_stderr,none": 0.01628673526099632,
+      "acc_norm,none": 0.25069252077562326,
+      "acc_norm_stderr,none": 0.016141098584878066,
+      "alias": " - polemo2_in_multiple_choice"
+    },
+    "polemo2_out": {
+      "exact_match,score-first": 0.23684210526315788,
+      "exact_match_stderr,score-first": 0.019147549344973702,
+      "alias": " - polemo2_out"
+    },
+    "polemo2_out_multiple_choice": {
+      "acc,none": 0.26720647773279355,
+      "acc_stderr,none": 0.01992924482184967,
+      "acc_norm,none": 0.2894736842105263,
+      "acc_norm_stderr,none": 0.02042542813065894,
+      "alias": " - polemo2_out_multiple_choice"
+    },
+    "polish_8tags_multiple_choice": {
+      "acc,none": 0.3266239707227813,
+      "acc_stderr,none": 0.0070935306571683265,
+      "acc_norm,none": 0.33417200365965233,
+      "acc_norm_stderr,none": 0.007134698974088815,
+      "alias": " - polish_8tags_multiple_choice"
+    },
+    "polish_8tags_regex": {
+      "exact_match,score-first": 0.2584629460201281,
+      "exact_match_stderr,score-first": 0.00662178644480435,
+      "alias": " - polish_8tags_regex"
+    },
+    "polish_belebele_regex": {
+      "exact_match,score-first": 0.30444444444444446,
+      "exact_match_stderr,score-first": 0.01534758660383228,
+      "alias": " - polish_belebele_regex"
+    },
+    "polish_dyk_multiple_choice": {
+      "acc,none": 0.8172983479105929,
+      "acc_stderr,none": 0.012052162826921252,
+      "acc_norm,none": 0.8172983479105929,
+      "acc_norm_stderr,none": 0.012052162826921252,
+      "alias": " - polish_dyk_multiple_choice"
+    },
+    "polish_dyk_regex": {
+      "exact_match,score-first": 0.6530612244897959,
+      "exact_match_stderr,score-first": 0.014845909626683668,
+      "alias": " - polish_dyk_regex"
+    },
+    "polish_ppc_multiple_choice": {
+      "acc,none": 0.361,
+      "acc_stderr,none": 0.015195720118175129,
+      "acc_norm,none": 0.361,
+      "acc_norm_stderr,none": 0.015195720118175129,
+      "alias": " - polish_ppc_multiple_choice"
+    },
+    "polish_ppc_regex": {
+      "exact_match,score-first": 0.294,
+      "exact_match_stderr,score-first": 0.014414290540008206,
+      "alias": " - polish_ppc_regex"
+    },
+    "polish_psc_multiple_choice": {
+      "acc,none": 0.6595547309833024,
+      "acc_stderr,none": 0.014439136432948205,
+      "acc_norm,none": 0.6595547309833024,
+      "acc_norm_stderr,none": 0.014439136432948205,
+      "alias": " - polish_psc_multiple_choice"
+    },
+    "polish_psc_regex": {
+      "exact_match,score-first": 0.3942486085343228,
+      "exact_match_stderr,score-first": 0.014891019870970914,
+      "alias": " - polish_psc_regex"
+    }
+  },
+  "groups": {
+    "polish": {
+      "acc,none": 0.3691258686580846,
+      "acc_stderr,none": 0.018175209512165027,
+      "acc_norm,none": 0.3731501947501108,
+      "acc_norm_stderr,none": 0.017798235118430115,
+      "exact_match,score-first": 0.31161270116954054,
+      "exact_match_stderr,score-first": 0.08765716963110161,
+      "alias": "polish"
+    }
+  },
+  "configs": {
+    "belebele_pol_Latn": {
+      "task": "belebele_pol_Latn",
+      "group": "belebele",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "fewshot_split": "pol_Latn",
+      "doc_to_text": "P: {{flores_passage}}\nQ: {{question.strip()}}\nA: {{mc_answer1}}\nB: {{mc_answer2}}\nC: {{mc_answer3}}\nD: {{mc_answer4}}\nAnswer：",
+      "doc_to_target": "{{['1', '2', '3', '4'].index(correct_answer_num)}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C",
+        "D"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "fewshot_config": {
+        "sampler": "first_n"
+      },
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}}",
+      "metadata": {
+        "version": 0.0
+      }
+    },
+    "polemo2_in": {
+      "task": "polemo2_in",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_in_multiple_choice": {
+      "task": "polemo2_in_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polemo2_out": {
+      "task": "polemo2_out",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_out_multiple_choice": {
+      "task": "polemo2_out_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_multiple_choice": {
+      "task": "polish_8tags_multiple_choice",
+      "dataset_path": "djstrong/8tags",
+      "training_split": "train",
+      "test_split": "test",
+      "fewshot_split": "train",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nDo podanego tytułu przyporządkuj jedną najlepiej pasującą kategorię z podanych: Film, Historia, Jedzenie, Medycyna, Motoryzacja, Praca, Sport, Technologie.\nKategoria:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Film",
+        "Historia",
+        "Jedzenie",
+        "Medycyna",
+        "Motoryzacja",
+        "Praca",
+        "Sport",
+        "Technologie"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_regex": {
+      "task": "polish_8tags_regex",
+      "dataset_path": "sdadas/8tags",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nPytanie: jaka kategoria najlepiej pasuje do podanego tytułu?\nMożliwe odpowiedzi:\nA - film\nB - historia\nC - jedzenie\nD - medycyna\nE - motoryzacja\nF - praca\nG - sport\nH - technologie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D', 4: 'E', 5: 'F', 6: 'G', 7: 'H'}.get(label)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCDEFGH]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_belebele_regex": {
+      "task": "polish_belebele_regex",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "doc_to_text": "Fragment: \"{{flores_passage}}\"\nPytanie: \"{{question}}\"\nMożliwe odpowiedzi:\nA - {{mc_answer1}}\nB - {{mc_answer2}}\nC - {{mc_answer3}}\nD - {{mc_answer4}}\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(correct_answer_num|int - 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{flores_passage}} {{question}} {{mc_answer1}} {{mc_answer2}} {{mc_answer3}} {{mc_answer4}}"
+    },
+    "polish_dyk_multiple_choice": {
+      "task": "polish_dyk_multiple_choice",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nPytanie: Czy sugerowana odpowiedź na zadane pytanie jest poprawna?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{target|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_dyk_regex": {
+      "task": "polish_dyk_regex",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nCzy sugerowana odpowiedź na zadane pytanie jest poprawna? Możliwe opcje:\nA - brakuje sugerowanej odpowiedzi\nB - nie, sugerowana odpowiedź nie jest poprawna\nC - tak, sugerowana odpowiedź jest poprawna\nD - brakuje pytania\nPrawidłowa opcja:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(target|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_ppc_multiple_choice": {
+      "task": "polish_ppc_multiple_choice",
+      "dataset_path": "djstrong/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - znaczą dokładnie to samo\nB - mają podobne znaczenie\nC - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int - 1}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_ppc_regex": {
+      "task": "polish_ppc_regex",
+      "dataset_path": "sdadas/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - znaczą dokładnie to samo\nC - mają podobne znaczenie\nD - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_psc_multiple_choice": {
+      "task": "polish_psc_multiple_choice",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Tekst: \"{{extract_text}}\"\nPodsumowanie: \"{{summary_text}}\"\nPytanie: Czy podsumowanie dla podanego tekstu jest poprawne?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    },
+    "polish_psc_regex": {
+      "task": "polish_psc_regex",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Fragment 1: \"{{extract_text}}\"\nFragment 2: \"{{summary_text}}\"\nPytanie: jaka jest zależność między fragmentami 1 i 2?\nMożliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - dotyczą tego samego artykułu\nC - dotyczą różnych artykułów\nD - brak poprawnej odpowiedzi\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    }
+  },
+  "versions": {
+    "belebele_pol_Latn": 0.0,
+    "polemo2_in": 1.0,
+    "polemo2_in_multiple_choice": "Yaml",
+    "polemo2_out": 1.0,
+    "polemo2_out_multiple_choice": "Yaml",
+    "polish": "N/A",
+    "polish_8tags_multiple_choice": "Yaml",
+    "polish_8tags_regex": "Yaml",
+    "polish_belebele_regex": "Yaml",
+    "polish_dyk_multiple_choice": "Yaml",
+    "polish_dyk_regex": "Yaml",
+    "polish_ppc_multiple_choice": "Yaml",
+    "polish_ppc_regex": "Yaml",
+    "polish_psc_multiple_choice": "Yaml",
+    "polish_psc_regex": "Yaml"
+  },
+  "n-shot": {
+    "belebele_pol_Latn": 5,
+    "polemo2_in": 5,
+    "polemo2_in_multiple_choice": 5,
+    "polemo2_out": 5,
+    "polemo2_out_multiple_choice": 5,
+    "polish": 5,
+    "polish_8tags_multiple_choice": 5,
+    "polish_8tags_regex": 5,
+    "polish_belebele_regex": 5,
+    "polish_dyk_multiple_choice": 5,
+    "polish_dyk_regex": 5,
+    "polish_ppc_multiple_choice": 5,
+    "polish_ppc_regex": 5,
+    "polish_psc_multiple_choice": 5,
+    "polish_psc_regex": 5
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=microsoft/phi-2",
+    "batch_size": "8",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}

polish_benchmarks-out15/results_plt5-large-0_polish/results.json

@@ -0,0 +1,747 @@
+{
+  "results": {
+    "polish": {
+      "acc,none": 0.27715148073174195,
+      "acc_stderr,none": 0.03330027976782747,
+      "acc_norm,none": 0.2563417704118359,
+      "acc_norm_stderr,none": 0.03668364767449961,
+      "exact_match,score-first": 0.0010576844399036573,
+      "exact_match_stderr,score-first": 0.0012246701124591967,
+      "alias": "polish"
+    },
+    "belebele_pol_Latn": {
+      "acc,none": 0.2788888888888889,
+      "acc_stderr,none": 0.014956736888683087,
+      "acc_norm,none": 0.2788888888888889,
+      "acc_norm_stderr,none": 0.014956736888683087,
+      "alias": " - belebele_pol_Latn"
+    },
+    "polemo2_in": {
+      "exact_match,score-first": 0.0,
+      "exact_match_stderr,score-first": 0.0,
+      "alias": " - polemo2_in"
+    },
+    "polemo2_in_multiple_choice": {
+      "acc,none": 0.203601108033241,
+      "acc_stderr,none": 0.01499642568791465,
+      "acc_norm,none": 0.14958448753462603,
+      "acc_norm_stderr,none": 0.013282848932398793,
+      "alias": " - polemo2_in_multiple_choice"
+    },
+    "polemo2_out": {
+      "exact_match,score-first": 0.0020242914979757085,
+      "exact_match_stderr,score-first": 0.0020242914979757155,
+      "alias": " - polemo2_out"
+    },
+    "polemo2_out_multiple_choice": {
+      "acc,none": 0.36639676113360325,
+      "acc_stderr,none": 0.021700065645408242,
+      "acc_norm,none": 0.32793522267206476,
+      "acc_norm_stderr,none": 0.021143463996780142,
+      "alias": " - polemo2_out_multiple_choice"
+    },
+    "polish_8tags_multiple_choice": {
+      "acc,none": 0.13472095150960658,
+      "acc_stderr,none": 0.005164226257415815,
+      "acc_norm,none": 0.10498627630375114,
+      "acc_norm_stderr,none": 0.004636504762297018,
+      "alias": " - polish_8tags_multiple_choice"
+    },
+    "polish_8tags_regex": {
+      "exact_match,score-first": 0.0029734675205855443,
+      "exact_match_stderr,score-first": 0.0008235586900281045,
+      "alias": " - polish_8tags_regex"
+    },
+    "polish_belebele_regex": {
+      "exact_match,score-first": 0.0,
+      "exact_match_stderr,score-first": 0.0,
+      "alias": " - polish_belebele_regex"
+    },
+    "polish_dyk_multiple_choice": {
+      "acc,none": 0.8309037900874635,
+      "acc_stderr,none": 0.011690840877120627,
+      "acc_norm,none": 0.8309037900874635,
+      "acc_norm_stderr,none": 0.011690840877120627,
+      "alias": " - polish_dyk_multiple_choice"
+    },
+    "polish_dyk_regex": {
+      "exact_match,score-first": 0.0,
+      "exact_match_stderr,score-first": 0.0,
+      "alias": " - polish_dyk_regex"
+    },
+    "polish_ppc_multiple_choice": {
+      "acc,none": 0.397,
+      "acc_stderr,none": 0.015480007449307984,
+      "acc_norm,none": 0.397,
+      "acc_norm_stderr,none": 0.015480007449307984,
+      "alias": " - polish_ppc_multiple_choice"
+    },
+    "polish_ppc_regex": {
+      "exact_match,score-first": 0.001,
+      "exact_match_stderr,score-first": 0.0010000000000000015,
+      "alias": " - polish_ppc_regex"
+    },
+    "polish_psc_multiple_choice": {
+      "acc,none": 0.6957328385899815,
+      "acc_stderr,none": 0.014019771683156095,
+      "acc_norm,none": 0.6957328385899815,
+      "acc_norm_stderr,none": 0.014019771683156095,
+      "alias": " - polish_psc_multiple_choice"
+    },
+    "polish_psc_regex": {
+      "exact_match,score-first": 0.0,
+      "exact_match_stderr,score-first": 0.0,
+      "alias": " - polish_psc_regex"
+    }
+  },
+  "groups": {
+    "polish": {
+      "acc,none": 0.27715148073174195,
+      "acc_stderr,none": 0.03330027976782747,
+      "acc_norm,none": 0.2563417704118359,
+      "acc_norm_stderr,none": 0.03668364767449961,
+      "exact_match,score-first": 0.0010576844399036573,
+      "exact_match_stderr,score-first": 0.0012246701124591967,
+      "alias": "polish"
+    }
+  },
+  "configs": {
+    "belebele_pol_Latn": {
+      "task": "belebele_pol_Latn",
+      "group": "belebele",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "fewshot_split": "pol_Latn",
+      "doc_to_text": "P: {{flores_passage}}\nQ: {{question.strip()}}\nA: {{mc_answer1}}\nB: {{mc_answer2}}\nC: {{mc_answer3}}\nD: {{mc_answer4}}\nAnswer：",
+      "doc_to_target": "{{['1', '2', '3', '4'].index(correct_answer_num)}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C",
+        "D"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "fewshot_config": {
+        "sampler": "first_n"
+      },
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}}",
+      "metadata": {
+        "version": 0.0
+      }
+    },
+    "polemo2_in": {
+      "task": "polemo2_in",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_in_multiple_choice": {
+      "task": "polemo2_in_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polemo2_out": {
+      "task": "polemo2_out",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_out_multiple_choice": {
+      "task": "polemo2_out_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_multiple_choice": {
+      "task": "polish_8tags_multiple_choice",
+      "dataset_path": "djstrong/8tags",
+      "training_split": "train",
+      "test_split": "test",
+      "fewshot_split": "train",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nDo podanego tytułu przyporządkuj jedną najlepiej pasującą kategorię z podanych: Film, Historia, Jedzenie, Medycyna, Motoryzacja, Praca, Sport, Technologie.\nKategoria:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Film",
+        "Historia",
+        "Jedzenie",
+        "Medycyna",
+        "Motoryzacja",
+        "Praca",
+        "Sport",
+        "Technologie"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_regex": {
+      "task": "polish_8tags_regex",
+      "dataset_path": "sdadas/8tags",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nPytanie: jaka kategoria najlepiej pasuje do podanego tytułu?\nMożliwe odpowiedzi:\nA - film\nB - historia\nC - jedzenie\nD - medycyna\nE - motoryzacja\nF - praca\nG - sport\nH - technologie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D', 4: 'E', 5: 'F', 6: 'G', 7: 'H'}.get(label)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCDEFGH]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_belebele_regex": {
+      "task": "polish_belebele_regex",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "doc_to_text": "Fragment: \"{{flores_passage}}\"\nPytanie: \"{{question}}\"\nMożliwe odpowiedzi:\nA - {{mc_answer1}}\nB - {{mc_answer2}}\nC - {{mc_answer3}}\nD - {{mc_answer4}}\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(correct_answer_num|int - 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{flores_passage}} {{question}} {{mc_answer1}} {{mc_answer2}} {{mc_answer3}} {{mc_answer4}}"
+    },
+    "polish_dyk_multiple_choice": {
+      "task": "polish_dyk_multiple_choice",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nPytanie: Czy sugerowana odpowiedź na zadane pytanie jest poprawna?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{target|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_dyk_regex": {
+      "task": "polish_dyk_regex",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nCzy sugerowana odpowiedź na zadane pytanie jest poprawna? Możliwe opcje:\nA - brakuje sugerowanej odpowiedzi\nB - nie, sugerowana odpowiedź nie jest poprawna\nC - tak, sugerowana odpowiedź jest poprawna\nD - brakuje pytania\nPrawidłowa opcja:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(target|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_ppc_multiple_choice": {
+      "task": "polish_ppc_multiple_choice",
+      "dataset_path": "djstrong/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - znaczą dokładnie to samo\nB - mają podobne znaczenie\nC - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int - 1}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_ppc_regex": {
+      "task": "polish_ppc_regex",
+      "dataset_path": "sdadas/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - znaczą dokładnie to samo\nC - mają podobne znaczenie\nD - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_psc_multiple_choice": {
+      "task": "polish_psc_multiple_choice",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Tekst: \"{{extract_text}}\"\nPodsumowanie: \"{{summary_text}}\"\nPytanie: Czy podsumowanie dla podanego tekstu jest poprawne?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    },
+    "polish_psc_regex": {
+      "task": "polish_psc_regex",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Fragment 1: \"{{extract_text}}\"\nFragment 2: \"{{summary_text}}\"\nPytanie: jaka jest zależność między fragmentami 1 i 2?\nMożliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - dotyczą tego samego artykułu\nC - dotyczą różnych artykułów\nD - brak poprawnej odpowiedzi\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    }
+  },
+  "versions": {
+    "belebele_pol_Latn": 0.0,
+    "polemo2_in": 1.0,
+    "polemo2_in_multiple_choice": "Yaml",
+    "polemo2_out": 1.0,
+    "polemo2_out_multiple_choice": "Yaml",
+    "polish": "N/A",
+    "polish_8tags_multiple_choice": "Yaml",
+    "polish_8tags_regex": "Yaml",
+    "polish_belebele_regex": "Yaml",
+    "polish_dyk_multiple_choice": "Yaml",
+    "polish_dyk_regex": "Yaml",
+    "polish_ppc_multiple_choice": "Yaml",
+    "polish_ppc_regex": "Yaml",
+    "polish_psc_multiple_choice": "Yaml",
+    "polish_psc_regex": "Yaml"
+  },
+  "n-shot": {
+    "belebele_pol_Latn": 0,
+    "polemo2_in": 0,
+    "polemo2_in_multiple_choice": 0,
+    "polemo2_out": 0,
+    "polemo2_out_multiple_choice": 0,
+    "polish": 0,
+    "polish_8tags_multiple_choice": 0,
+    "polish_8tags_regex": 0,
+    "polish_belebele_regex": 0,
+    "polish_dyk_multiple_choice": 0,
+    "polish_dyk_regex": 0,
+    "polish_ppc_multiple_choice": 0,
+    "polish_ppc_regex": 0,
+    "polish_psc_multiple_choice": 0,
+    "polish_psc_regex": 0
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=allegro/plt5-large",
+    "batch_size": "1",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}

polish_benchmarks-out15/results_plt5-large-5_polish/results.json

@@ -0,0 +1,747 @@
+{
+  "results": {
+    "polish": {
+      "acc,none": 0.27199468499631047,
+      "acc_stderr,none": 0.033784906809331355,
+      "acc_norm,none": 0.25512605070649047,
+      "acc_norm_stderr,none": 0.036788778161595106,
+      "exact_match,score-first": 0.0007225007392369538,
+      "exact_match_stderr,score-first": 0.0011188492270730265,
+      "alias": "polish"
+    },
+    "belebele_pol_Latn": {
+      "acc,none": 0.2733333333333333,
+      "acc_stderr,none": 0.01486394440941748,
+      "acc_norm,none": 0.2733333333333333,
+      "acc_norm_stderr,none": 0.01486394440941748,
+      "alias": " - belebele_pol_Latn"
+    },
+    "polemo2_in": {
+      "exact_match,score-first": 0.0,
+      "exact_match_stderr,score-first": 0.0,
+      "alias": " - polemo2_in"
+    },
+    "polemo2_in_multiple_choice": {
+      "acc,none": 0.18282548476454294,
+      "acc_stderr,none": 0.014394883071700351,
+      "acc_norm,none": 0.14958448753462603,
+      "acc_norm_stderr,none": 0.013282848932398793,
+      "alias": " - polemo2_in_multiple_choice"
+    },
+    "polemo2_out": {
+      "exact_match,score-first": 0.0,
+      "exact_match_stderr,score-first": 0.0,
+      "alias": " - polemo2_out"
+    },
+    "polemo2_out_multiple_choice": {
+      "acc,none": 0.32793522267206476,
+      "acc_stderr,none": 0.021143463996780142,
+      "acc_norm,none": 0.32793522267206476,
+      "acc_norm_stderr,none": 0.021143463996780142,
+      "alias": " - polemo2_out_multiple_choice"
+    },
+    "polish_8tags_multiple_choice": {
+      "acc,none": 0.13472095150960658,
+      "acc_stderr,none": 0.005164226257415815,
+      "acc_norm,none": 0.10498627630375114,
+      "acc_norm_stderr,none": 0.004636504762297021,
+      "alias": " - polish_8tags_multiple_choice"
+    },
+    "polish_8tags_regex": {
+      "exact_match,score-first": 0.0013723696248856359,
+      "exact_match_stderr,score-first": 0.0005599470156852725,
+      "alias": " - polish_8tags_regex"
+    },
+    "polish_belebele_regex": {
+      "exact_match,score-first": 0.0,
+      "exact_match_stderr,score-first": 0.0,
+      "alias": " - polish_belebele_regex"
+    },
+    "polish_dyk_multiple_choice": {
+      "acc,none": 0.8309037900874635,
+      "acc_stderr,none": 0.011690840877120627,
+      "acc_norm,none": 0.8309037900874635,
+      "acc_norm_stderr,none": 0.011690840877120627,
+      "alias": " - polish_dyk_multiple_choice"
+    },
+    "polish_dyk_regex": {
+      "exact_match,score-first": 0.001943634596695821,
+      "exact_match_stderr,score-first": 0.0013736885791548168,
+      "alias": " - polish_dyk_regex"
+    },
+    "polish_ppc_multiple_choice": {
+      "acc,none": 0.396,
+      "acc_stderr,none": 0.01547331326585941,
+      "acc_norm,none": 0.396,
+      "acc_norm_stderr,none": 0.01547331326585941,
+      "alias": " - polish_ppc_multiple_choice"
+    },
+    "polish_ppc_regex": {
+      "exact_match,score-first": 0.004,
+      "exact_match_stderr,score-first": 0.0019969947390987295,
+      "alias": " - polish_ppc_regex"
+    },
+    "polish_psc_multiple_choice": {
+      "acc,none": 0.6957328385899815,
+      "acc_stderr,none": 0.014019771683156095,
+      "acc_norm,none": 0.6957328385899815,
+      "acc_norm_stderr,none": 0.014019771683156095,
+      "alias": " - polish_psc_multiple_choice"
+    },
+    "polish_psc_regex": {
+      "exact_match,score-first": 0.0,
+      "exact_match_stderr,score-first": 0.0,
+      "alias": " - polish_psc_regex"
+    }
+  },
+  "groups": {
+    "polish": {
+      "acc,none": 0.27199468499631047,
+      "acc_stderr,none": 0.033784906809331355,
+      "acc_norm,none": 0.25512605070649047,
+      "acc_norm_stderr,none": 0.036788778161595106,
+      "exact_match,score-first": 0.0007225007392369538,
+      "exact_match_stderr,score-first": 0.0011188492270730265,
+      "alias": "polish"
+    }
+  },
+  "configs": {
+    "belebele_pol_Latn": {
+      "task": "belebele_pol_Latn",
+      "group": "belebele",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "fewshot_split": "pol_Latn",
+      "doc_to_text": "P: {{flores_passage}}\nQ: {{question.strip()}}\nA: {{mc_answer1}}\nB: {{mc_answer2}}\nC: {{mc_answer3}}\nD: {{mc_answer4}}\nAnswer：",
+      "doc_to_target": "{{['1', '2', '3', '4'].index(correct_answer_num)}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C",
+        "D"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "fewshot_config": {
+        "sampler": "first_n"
+      },
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}}",
+      "metadata": {
+        "version": 0.0
+      }
+    },
+    "polemo2_in": {
+      "task": "polemo2_in",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_in_multiple_choice": {
+      "task": "polemo2_in_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polemo2_out": {
+      "task": "polemo2_out",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_out_multiple_choice": {
+      "task": "polemo2_out_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_multiple_choice": {
+      "task": "polish_8tags_multiple_choice",
+      "dataset_path": "djstrong/8tags",
+      "training_split": "train",
+      "test_split": "test",
+      "fewshot_split": "train",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nDo podanego tytułu przyporządkuj jedną najlepiej pasującą kategorię z podanych: Film, Historia, Jedzenie, Medycyna, Motoryzacja, Praca, Sport, Technologie.\nKategoria:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Film",
+        "Historia",
+        "Jedzenie",
+        "Medycyna",
+        "Motoryzacja",
+        "Praca",
+        "Sport",
+        "Technologie"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_regex": {
+      "task": "polish_8tags_regex",
+      "dataset_path": "sdadas/8tags",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nPytanie: jaka kategoria najlepiej pasuje do podanego tytułu?\nMożliwe odpowiedzi:\nA - film\nB - historia\nC - jedzenie\nD - medycyna\nE - motoryzacja\nF - praca\nG - sport\nH - technologie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D', 4: 'E', 5: 'F', 6: 'G', 7: 'H'}.get(label)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCDEFGH]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_belebele_regex": {
+      "task": "polish_belebele_regex",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "doc_to_text": "Fragment: \"{{flores_passage}}\"\nPytanie: \"{{question}}\"\nMożliwe odpowiedzi:\nA - {{mc_answer1}}\nB - {{mc_answer2}}\nC - {{mc_answer3}}\nD - {{mc_answer4}}\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(correct_answer_num|int - 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{flores_passage}} {{question}} {{mc_answer1}} {{mc_answer2}} {{mc_answer3}} {{mc_answer4}}"
+    },
+    "polish_dyk_multiple_choice": {
+      "task": "polish_dyk_multiple_choice",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nPytanie: Czy sugerowana odpowiedź na zadane pytanie jest poprawna?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{target|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_dyk_regex": {
+      "task": "polish_dyk_regex",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nCzy sugerowana odpowiedź na zadane pytanie jest poprawna? Możliwe opcje:\nA - brakuje sugerowanej odpowiedzi\nB - nie, sugerowana odpowiedź nie jest poprawna\nC - tak, sugerowana odpowiedź jest poprawna\nD - brakuje pytania\nPrawidłowa opcja:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(target|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_ppc_multiple_choice": {
+      "task": "polish_ppc_multiple_choice",
+      "dataset_path": "djstrong/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - znaczą dokładnie to samo\nB - mają podobne znaczenie\nC - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int - 1}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_ppc_regex": {
+      "task": "polish_ppc_regex",
+      "dataset_path": "sdadas/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - znaczą dokładnie to samo\nC - mają podobne znaczenie\nD - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_psc_multiple_choice": {
+      "task": "polish_psc_multiple_choice",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Tekst: \"{{extract_text}}\"\nPodsumowanie: \"{{summary_text}}\"\nPytanie: Czy podsumowanie dla podanego tekstu jest poprawne?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    },
+    "polish_psc_regex": {
+      "task": "polish_psc_regex",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Fragment 1: \"{{extract_text}}\"\nFragment 2: \"{{summary_text}}\"\nPytanie: jaka jest zależność między fragmentami 1 i 2?\nMożliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - dotyczą tego samego artykułu\nC - dotyczą różnych artykułów\nD - brak poprawnej odpowiedzi\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    }
+  },
+  "versions": {
+    "belebele_pol_Latn": 0.0,
+    "polemo2_in": 1.0,
+    "polemo2_in_multiple_choice": "Yaml",
+    "polemo2_out": 1.0,
+    "polemo2_out_multiple_choice": "Yaml",
+    "polish": "N/A",
+    "polish_8tags_multiple_choice": "Yaml",
+    "polish_8tags_regex": "Yaml",
+    "polish_belebele_regex": "Yaml",
+    "polish_dyk_multiple_choice": "Yaml",
+    "polish_dyk_regex": "Yaml",
+    "polish_ppc_multiple_choice": "Yaml",
+    "polish_ppc_regex": "Yaml",
+    "polish_psc_multiple_choice": "Yaml",
+    "polish_psc_regex": "Yaml"
+  },
+  "n-shot": {
+    "belebele_pol_Latn": 5,
+    "polemo2_in": 5,
+    "polemo2_in_multiple_choice": 5,
+    "polemo2_out": 5,
+    "polemo2_out_multiple_choice": 5,
+    "polish": 5,
+    "polish_8tags_multiple_choice": 5,
+    "polish_8tags_regex": 5,
+    "polish_belebele_regex": 5,
+    "polish_dyk_multiple_choice": 5,
+    "polish_dyk_regex": 5,
+    "polish_ppc_multiple_choice": 5,
+    "polish_ppc_regex": 5,
+    "polish_psc_multiple_choice": 5,
+    "polish_psc_regex": 5
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=allegro/plt5-large",
+    "batch_size": "1",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}

polish_benchmarks-out15/results_polish-gpt2-xl-0_polish/results.json

@@ -0,0 +1,747 @@
+{
+  "results": {
+    "polish": {
+      "acc,none": 0.23191934194661715,
+      "acc_stderr,none": 0.017886442846475455,
+      "acc_norm,none": 0.2609556062133738,
+      "acc_norm_stderr,none": 0.014228167702518467,
+      "exact_match,score-first": 0.0017391614971304186,
+      "exact_match_stderr,score-first": 0.002440262666720261,
+      "alias": "polish"
+    },
+    "belebele_pol_Latn": {
+      "acc,none": 0.21666666666666667,
+      "acc_stderr,none": 0.013740087830700175,
+      "acc_norm,none": 0.21666666666666667,
+      "acc_norm_stderr,none": 0.013740087830700175,
+      "alias": " - belebele_pol_Latn"
+    },
+    "polemo2_in": {
+      "exact_match,score-first": 0.0,
+      "exact_match_stderr,score-first": 0.0,
+      "alias": " - polemo2_in"
+    },
+    "polemo2_in_multiple_choice": {
+      "acc,none": 0.16204986149584488,
+      "acc_stderr,none": 0.013723528490778158,
+      "acc_norm,none": 0.16066481994459833,
+      "acc_norm_stderr,none": 0.013676043602680779,
+      "alias": " - polemo2_in_multiple_choice"
+    },
+    "polemo2_out": {
+      "exact_match,score-first": 0.0,
+      "exact_match_stderr,score-first": 0.0,
+      "alias": " - polemo2_out"
+    },
+    "polemo2_out_multiple_choice": {
+      "acc,none": 0.004048582995951417,
+      "acc_stderr,none": 0.0028598755883223574,
+      "acc_norm,none": 0.08704453441295547,
+      "acc_norm_stderr,none": 0.012696151326390646,
+      "alias": " - polemo2_out_multiple_choice"
+    },
+    "polish_8tags_multiple_choice": {
+      "acc,none": 0.17108874656907594,
+      "acc_stderr,none": 0.005696057135228034,
+      "acc_norm,none": 0.22461116193961575,
+      "acc_norm_stderr,none": 0.00631226228845873,
+      "alias": " - polish_8tags_multiple_choice"
+    },
+    "polish_8tags_regex": {
+      "exact_match,score-first": 0.0034309240622140895,
+      "exact_match_stderr,score-first": 0.0008844409715419932,
+      "alias": " - polish_8tags_regex"
+    },
+    "polish_belebele_regex": {
+      "exact_match,score-first": 0.01,
+      "exact_match_stderr,score-first": 0.0033184688965809087,
+      "alias": " - polish_belebele_regex"
+    },
+    "polish_dyk_multiple_choice": {
+      "acc,none": 0.6598639455782312,
+      "acc_stderr,none": 0.014776003225079232,
+      "acc_norm,none": 0.6598639455782312,
+      "acc_norm_stderr,none": 0.014776003225079232,
+      "alias": " - polish_dyk_multiple_choice"
+    },
+    "polish_dyk_regex": {
+      "exact_match,score-first": 0.0,
+      "exact_match_stderr,score-first": 0.0,
+      "alias": " - polish_dyk_regex"
+    },
+    "polish_ppc_multiple_choice": {
+      "acc,none": 0.419,
+      "acc_stderr,none": 0.015610338967577794,
+      "acc_norm,none": 0.419,
+      "acc_norm_stderr,none": 0.015610338967577794,
+      "alias": " - polish_ppc_multiple_choice"
+    },
+    "polish_ppc_regex": {
+      "exact_match,score-first": 0.0,
+      "exact_match_stderr,score-first": 0.0,
+      "alias": " - polish_ppc_regex"
+    },
+    "polish_psc_multiple_choice": {
+      "acc,none": 0.41836734693877553,
+      "acc_stderr,none": 0.015031261449258846,
+      "acc_norm,none": 0.41836734693877553,
+      "acc_norm_stderr,none": 0.015031261449258846,
+      "alias": " - polish_psc_multiple_choice"
+    },
+    "polish_psc_regex": {
+      "exact_match,score-first": 0.0037105751391465678,
+      "exact_match_stderr,score-first": 0.001852701801669208,
+      "alias": " - polish_psc_regex"
+    }
+  },
+  "groups": {
+    "polish": {
+      "acc,none": 0.23191934194661715,
+      "acc_stderr,none": 0.017886442846475455,
+      "acc_norm,none": 0.2609556062133738,
+      "acc_norm_stderr,none": 0.014228167702518467,
+      "exact_match,score-first": 0.0017391614971304186,
+      "exact_match_stderr,score-first": 0.002440262666720261,
+      "alias": "polish"
+    }
+  },
+  "configs": {
+    "belebele_pol_Latn": {
+      "task": "belebele_pol_Latn",
+      "group": "belebele",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "fewshot_split": "pol_Latn",
+      "doc_to_text": "P: {{flores_passage}}\nQ: {{question.strip()}}\nA: {{mc_answer1}}\nB: {{mc_answer2}}\nC: {{mc_answer3}}\nD: {{mc_answer4}}\nAnswer：",
+      "doc_to_target": "{{['1', '2', '3', '4'].index(correct_answer_num)}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C",
+        "D"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "fewshot_config": {
+        "sampler": "first_n"
+      },
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}}",
+      "metadata": {
+        "version": 0.0
+      }
+    },
+    "polemo2_in": {
+      "task": "polemo2_in",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_in_multiple_choice": {
+      "task": "polemo2_in_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polemo2_out": {
+      "task": "polemo2_out",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_out_multiple_choice": {
+      "task": "polemo2_out_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_multiple_choice": {
+      "task": "polish_8tags_multiple_choice",
+      "dataset_path": "djstrong/8tags",
+      "training_split": "train",
+      "test_split": "test",
+      "fewshot_split": "train",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nDo podanego tytułu przyporządkuj jedną najlepiej pasującą kategorię z podanych: Film, Historia, Jedzenie, Medycyna, Motoryzacja, Praca, Sport, Technologie.\nKategoria:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Film",
+        "Historia",
+        "Jedzenie",
+        "Medycyna",
+        "Motoryzacja",
+        "Praca",
+        "Sport",
+        "Technologie"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_regex": {
+      "task": "polish_8tags_regex",
+      "dataset_path": "sdadas/8tags",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nPytanie: jaka kategoria najlepiej pasuje do podanego tytułu?\nMożliwe odpowiedzi:\nA - film\nB - historia\nC - jedzenie\nD - medycyna\nE - motoryzacja\nF - praca\nG - sport\nH - technologie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D', 4: 'E', 5: 'F', 6: 'G', 7: 'H'}.get(label)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCDEFGH]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_belebele_regex": {
+      "task": "polish_belebele_regex",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "doc_to_text": "Fragment: \"{{flores_passage}}\"\nPytanie: \"{{question}}\"\nMożliwe odpowiedzi:\nA - {{mc_answer1}}\nB - {{mc_answer2}}\nC - {{mc_answer3}}\nD - {{mc_answer4}}\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(correct_answer_num|int - 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{flores_passage}} {{question}} {{mc_answer1}} {{mc_answer2}} {{mc_answer3}} {{mc_answer4}}"
+    },
+    "polish_dyk_multiple_choice": {
+      "task": "polish_dyk_multiple_choice",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nPytanie: Czy sugerowana odpowiedź na zadane pytanie jest poprawna?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{target|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_dyk_regex": {
+      "task": "polish_dyk_regex",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nCzy sugerowana odpowiedź na zadane pytanie jest poprawna? Możliwe opcje:\nA - brakuje sugerowanej odpowiedzi\nB - nie, sugerowana odpowiedź nie jest poprawna\nC - tak, sugerowana odpowiedź jest poprawna\nD - brakuje pytania\nPrawidłowa opcja:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(target|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_ppc_multiple_choice": {
+      "task": "polish_ppc_multiple_choice",
+      "dataset_path": "djstrong/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - znaczą dokładnie to samo\nB - mają podobne znaczenie\nC - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int - 1}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_ppc_regex": {
+      "task": "polish_ppc_regex",
+      "dataset_path": "sdadas/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - znaczą dokładnie to samo\nC - mają podobne znaczenie\nD - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_psc_multiple_choice": {
+      "task": "polish_psc_multiple_choice",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Tekst: \"{{extract_text}}\"\nPodsumowanie: \"{{summary_text}}\"\nPytanie: Czy podsumowanie dla podanego tekstu jest poprawne?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    },
+    "polish_psc_regex": {
+      "task": "polish_psc_regex",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Fragment 1: \"{{extract_text}}\"\nFragment 2: \"{{summary_text}}\"\nPytanie: jaka jest zależność między fragmentami 1 i 2?\nMożliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - dotyczą tego samego artykułu\nC - dotyczą różnych artykułów\nD - brak poprawnej odpowiedzi\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    }
+  },
+  "versions": {
+    "belebele_pol_Latn": 0.0,
+    "polemo2_in": 1.0,
+    "polemo2_in_multiple_choice": "Yaml",
+    "polemo2_out": 1.0,
+    "polemo2_out_multiple_choice": "Yaml",
+    "polish": "N/A",
+    "polish_8tags_multiple_choice": "Yaml",
+    "polish_8tags_regex": "Yaml",
+    "polish_belebele_regex": "Yaml",
+    "polish_dyk_multiple_choice": "Yaml",
+    "polish_dyk_regex": "Yaml",
+    "polish_ppc_multiple_choice": "Yaml",
+    "polish_ppc_regex": "Yaml",
+    "polish_psc_multiple_choice": "Yaml",
+    "polish_psc_regex": "Yaml"
+  },
+  "n-shot": {
+    "belebele_pol_Latn": 0,
+    "polemo2_in": 0,
+    "polemo2_in_multiple_choice": 0,
+    "polemo2_out": 0,
+    "polemo2_out_multiple_choice": 0,
+    "polish": 0,
+    "polish_8tags_multiple_choice": 0,
+    "polish_8tags_regex": 0,
+    "polish_belebele_regex": 0,
+    "polish_dyk_multiple_choice": 0,
+    "polish_dyk_regex": 0,
+    "polish_ppc_multiple_choice": 0,
+    "polish_ppc_regex": 0,
+    "polish_psc_multiple_choice": 0,
+    "polish_psc_regex": 0
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=sdadas/polish-gpt2-xl",
+    "batch_size": "8",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}

polish_benchmarks-out15/results_polish-gpt2-xl-5_polish/results.json

@@ -0,0 +1,747 @@
+{
+  "results": {
+    "polish": {
+      "acc,none": 0.25193855283943917,
+      "acc_stderr,none": 0.02184871540454155,
+      "acc_norm,none": 0.24514543827432092,
+      "acc_norm_stderr,none": 0.022718727658377173,
+      "exact_match,score-first": 0.047392714266956536,
+      "exact_match_stderr,score-first": 0.023745830856935577,
+      "alias": "polish"
+    },
+    "belebele_pol_Latn": {
+      "acc,none": 0.22777777777777777,
+      "acc_stderr,none": 0.013987721523687937,
+      "acc_norm,none": 0.22777777777777777,
+      "acc_norm_stderr,none": 0.013987721523687937,
+      "alias": " - belebele_pol_Latn"
+    },
+    "polemo2_in": {
+      "exact_match,score-first": 0.037396121883656507,
+      "exact_match_stderr,score-first": 0.007065932013355643,
+      "alias": " - polemo2_in"
+    },
+    "polemo2_in_multiple_choice": {
+      "acc,none": 0.23684210526315788,
+      "acc_stderr,none": 0.01583321192224944,
+      "acc_norm,none": 0.2299168975069252,
+      "acc_norm_stderr,none": 0.0156706355314007,
+      "alias": " - polemo2_in_multiple_choice"
+    },
+    "polemo2_out": {
+      "exact_match,score-first": 0.032388663967611336,
+      "exact_match_stderr,score-first": 0.007973032439158353,
+      "alias": " - polemo2_out"
+    },
+    "polemo2_out_multiple_choice": {
+      "acc,none": 0.19230769230769232,
+      "acc_stderr,none": 0.017749978932478032,
+      "acc_norm,none": 0.22064777327935223,
+      "acc_norm_stderr,none": 0.018676401648930148,
+      "alias": " - polemo2_out_multiple_choice"
+    },
+    "polish_8tags_multiple_choice": {
+      "acc,none": 0.1537053979871912,
+      "acc_stderr,none": 0.005455253568185525,
+      "acc_norm,none": 0.1372369624885636,
+      "acc_norm_stderr,none": 0.0052046425832142406,
+      "alias": " - polish_8tags_multiple_choice"
+    },
+    "polish_8tags_regex": {
+      "exact_match,score-first": 0.045516925892040254,
+      "exact_match_stderr,score-first": 0.0031526820496949807,
+      "alias": " - polish_8tags_regex"
+    },
+    "polish_belebele_regex": {
+      "exact_match,score-first": 0.11777777777777777,
+      "exact_match_stderr,score-first": 0.010750801136276045,
+      "alias": " - polish_belebele_regex"
+    },
+    "polish_dyk_multiple_choice": {
+      "acc,none": 0.7619047619047619,
+      "acc_stderr,none": 0.013284008396468271,
+      "acc_norm,none": 0.7619047619047619,
+      "acc_norm_stderr,none": 0.013284008396468271,
+      "alias": " - polish_dyk_multiple_choice"
+    },
+    "polish_dyk_regex": {
+      "exact_match,score-first": 0.007774538386783284,
+      "exact_match_stderr,score-first": 0.0027393399577880506,
+      "alias": " - polish_dyk_regex"
+    },
+    "polish_ppc_multiple_choice": {
+      "acc,none": 0.398,
+      "acc_stderr,none": 0.015486634102858925,
+      "acc_norm,none": 0.398,
+      "acc_norm_stderr,none": 0.015486634102858925,
+      "alias": " - polish_ppc_multiple_choice"
+    },
+    "polish_ppc_regex": {
+      "exact_match,score-first": 0.09,
+      "exact_match_stderr,score-first": 0.009054390204866437,
+      "alias": " - polish_ppc_regex"
+    },
+    "polish_psc_multiple_choice": {
+      "acc,none": 0.47866419294990725,
+      "acc_stderr,none": 0.015221813482588829,
+      "acc_norm,none": 0.47866419294990725,
+      "acc_norm_stderr,none": 0.015221813482588829,
+      "alias": " - polish_psc_multiple_choice"
+    },
+    "polish_psc_regex": {
+      "exact_match,score-first": 0.08070500927643785,
+      "exact_match_stderr,score-first": 0.008299842306683255,
+      "alias": " - polish_psc_regex"
+    }
+  },
+  "groups": {
+    "polish": {
+      "acc,none": 0.25193855283943917,
+      "acc_stderr,none": 0.02184871540454155,
+      "acc_norm,none": 0.24514543827432092,
+      "acc_norm_stderr,none": 0.022718727658377173,
+      "exact_match,score-first": 0.047392714266956536,
+      "exact_match_stderr,score-first": 0.023745830856935577,
+      "alias": "polish"
+    }
+  },
+  "configs": {
+    "belebele_pol_Latn": {
+      "task": "belebele_pol_Latn",
+      "group": "belebele",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "fewshot_split": "pol_Latn",
+      "doc_to_text": "P: {{flores_passage}}\nQ: {{question.strip()}}\nA: {{mc_answer1}}\nB: {{mc_answer2}}\nC: {{mc_answer3}}\nD: {{mc_answer4}}\nAnswer：",
+      "doc_to_target": "{{['1', '2', '3', '4'].index(correct_answer_num)}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C",
+        "D"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "fewshot_config": {
+        "sampler": "first_n"
+      },
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}}",
+      "metadata": {
+        "version": 0.0
+      }
+    },
+    "polemo2_in": {
+      "task": "polemo2_in",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_in_multiple_choice": {
+      "task": "polemo2_in_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polemo2_out": {
+      "task": "polemo2_out",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_out_multiple_choice": {
+      "task": "polemo2_out_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_multiple_choice": {
+      "task": "polish_8tags_multiple_choice",
+      "dataset_path": "djstrong/8tags",
+      "training_split": "train",
+      "test_split": "test",
+      "fewshot_split": "train",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nDo podanego tytułu przyporządkuj jedną najlepiej pasującą kategorię z podanych: Film, Historia, Jedzenie, Medycyna, Motoryzacja, Praca, Sport, Technologie.\nKategoria:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Film",
+        "Historia",
+        "Jedzenie",
+        "Medycyna",
+        "Motoryzacja",
+        "Praca",
+        "Sport",
+        "Technologie"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_regex": {
+      "task": "polish_8tags_regex",
+      "dataset_path": "sdadas/8tags",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nPytanie: jaka kategoria najlepiej pasuje do podanego tytułu?\nMożliwe odpowiedzi:\nA - film\nB - historia\nC - jedzenie\nD - medycyna\nE - motoryzacja\nF - praca\nG - sport\nH - technologie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D', 4: 'E', 5: 'F', 6: 'G', 7: 'H'}.get(label)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCDEFGH]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_belebele_regex": {
+      "task": "polish_belebele_regex",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "doc_to_text": "Fragment: \"{{flores_passage}}\"\nPytanie: \"{{question}}\"\nMożliwe odpowiedzi:\nA - {{mc_answer1}}\nB - {{mc_answer2}}\nC - {{mc_answer3}}\nD - {{mc_answer4}}\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(correct_answer_num|int - 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{flores_passage}} {{question}} {{mc_answer1}} {{mc_answer2}} {{mc_answer3}} {{mc_answer4}}"
+    },
+    "polish_dyk_multiple_choice": {
+      "task": "polish_dyk_multiple_choice",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nPytanie: Czy sugerowana odpowiedź na zadane pytanie jest poprawna?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{target|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_dyk_regex": {
+      "task": "polish_dyk_regex",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nCzy sugerowana odpowiedź na zadane pytanie jest poprawna? Możliwe opcje:\nA - brakuje sugerowanej odpowiedzi\nB - nie, sugerowana odpowiedź nie jest poprawna\nC - tak, sugerowana odpowiedź jest poprawna\nD - brakuje pytania\nPrawidłowa opcja:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(target|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_ppc_multiple_choice": {
+      "task": "polish_ppc_multiple_choice",
+      "dataset_path": "djstrong/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - znaczą dokładnie to samo\nB - mają podobne znaczenie\nC - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int - 1}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_ppc_regex": {
+      "task": "polish_ppc_regex",
+      "dataset_path": "sdadas/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - znaczą dokładnie to samo\nC - mają podobne znaczenie\nD - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_psc_multiple_choice": {
+      "task": "polish_psc_multiple_choice",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Tekst: \"{{extract_text}}\"\nPodsumowanie: \"{{summary_text}}\"\nPytanie: Czy podsumowanie dla podanego tekstu jest poprawne?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    },
+    "polish_psc_regex": {
+      "task": "polish_psc_regex",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Fragment 1: \"{{extract_text}}\"\nFragment 2: \"{{summary_text}}\"\nPytanie: jaka jest zależność między fragmentami 1 i 2?\nMożliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - dotyczą tego samego artykułu\nC - dotyczą różnych artykułów\nD - brak poprawnej odpowiedzi\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    }
+  },
+  "versions": {
+    "belebele_pol_Latn": 0.0,
+    "polemo2_in": 1.0,
+    "polemo2_in_multiple_choice": "Yaml",
+    "polemo2_out": 1.0,
+    "polemo2_out_multiple_choice": "Yaml",
+    "polish": "N/A",
+    "polish_8tags_multiple_choice": "Yaml",
+    "polish_8tags_regex": "Yaml",
+    "polish_belebele_regex": "Yaml",
+    "polish_dyk_multiple_choice": "Yaml",
+    "polish_dyk_regex": "Yaml",
+    "polish_ppc_multiple_choice": "Yaml",
+    "polish_ppc_regex": "Yaml",
+    "polish_psc_multiple_choice": "Yaml",
+    "polish_psc_regex": "Yaml"
+  },
+  "n-shot": {
+    "belebele_pol_Latn": 5,
+    "polemo2_in": 5,
+    "polemo2_in_multiple_choice": 5,
+    "polemo2_out": 5,
+    "polemo2_out_multiple_choice": 5,
+    "polish": 5,
+    "polish_8tags_multiple_choice": 5,
+    "polish_8tags_regex": 5,
+    "polish_belebele_regex": 5,
+    "polish_dyk_multiple_choice": 5,
+    "polish_dyk_regex": 5,
+    "polish_ppc_multiple_choice": 5,
+    "polish_ppc_regex": 5,
+    "polish_psc_multiple_choice": 5,
+    "polish_psc_regex": 5
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=sdadas/polish-gpt2-xl",
+    "batch_size": "8",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}

polish_benchmarks-out16/results_Mistral-7B-v0.1-0_polish_generate/results.json

@@ -0,0 +1,422 @@
+{
+  "results": {
+    "polish_generate": {
+      "exact_match,score-first": 0.4016675351745701,
+      "exact_match_stderr,score-first": 0.11168933768467093,
+      "alias": "polish_generate"
+    },
+    "polemo2_in": {
+      "exact_match,score-first": 0.20221606648199447,
+      "exact_match_stderr,score-first": 0.014958320686196893,
+      "alias": " - polemo2_in"
+    },
+    "polemo2_out": {
+      "exact_match,score-first": 0.20242914979757085,
+      "exact_match_stderr,score-first": 0.018096629806809615,
+      "alias": " - polemo2_out"
+    },
+    "polish_8tags_regex": {
+      "exact_match,score-first": 0.5233302836230558,
+      "exact_match_stderr,score-first": 0.007554510181529444,
+      "alias": " - polish_8tags_regex"
+    },
+    "polish_belebele_regex": {
+      "exact_match,score-first": 0.5522222222222222,
+      "exact_match_stderr,score-first": 0.01658472834066539,
+      "alias": " - polish_belebele_regex"
+    },
+    "polish_dyk_regex": {
+      "exact_match,score-first": 0.06997084548104957,
+      "exact_match_stderr,score-first": 0.007956284148707688,
+      "alias": " - polish_dyk_regex"
+    },
+    "polish_ppc_regex": {
+      "exact_match,score-first": 0.376,
+      "exact_match_stderr,score-first": 0.015325105508898125,
+      "alias": " - polish_ppc_regex"
+    },
+    "polish_psc_regex": {
+      "exact_match,score-first": 0.34786641929499074,
+      "exact_match_stderr,score-first": 0.014513317088383356,
+      "alias": " - polish_psc_regex"
+    }
+  },
+  "groups": {
+    "polish_generate": {
+      "exact_match,score-first": 0.4016675351745701,
+      "exact_match_stderr,score-first": 0.11168933768467093,
+      "alias": "polish_generate"
+    }
+  },
+  "configs": {
+    "polemo2_in": {
+      "task": "polemo2_in",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_out": {
+      "task": "polemo2_out",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polish_8tags_regex": {
+      "task": "polish_8tags_regex",
+      "dataset_path": "sdadas/8tags",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nPytanie: jaka kategoria najlepiej pasuje do podanego tytułu?\nMożliwe odpowiedzi:\nA - film\nB - historia\nC - jedzenie\nD - medycyna\nE - motoryzacja\nF - praca\nG - sport\nH - technologie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D', 4: 'E', 5: 'F', 6: 'G', 7: 'H'}.get(label)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCDEFGH]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_belebele_regex": {
+      "task": "polish_belebele_regex",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "doc_to_text": "Fragment: \"{{flores_passage}}\"\nPytanie: \"{{question}}\"\nMożliwe odpowiedzi:\nA - {{mc_answer1}}\nB - {{mc_answer2}}\nC - {{mc_answer3}}\nD - {{mc_answer4}}\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(correct_answer_num|int - 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{flores_passage}} {{question}} {{mc_answer1}} {{mc_answer2}} {{mc_answer3}} {{mc_answer4}}"
+    },
+    "polish_dyk_regex": {
+      "task": "polish_dyk_regex",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nCzy sugerowana odpowiedź na zadane pytanie jest poprawna? Możliwe opcje:\nA - brakuje sugerowanej odpowiedzi\nB - nie, sugerowana odpowiedź nie jest poprawna\nC - tak, sugerowana odpowiedź jest poprawna\nD - brakuje pytania\nPrawidłowa opcja:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(target|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_ppc_regex": {
+      "task": "polish_ppc_regex",
+      "dataset_path": "sdadas/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - znaczą dokładnie to samo\nC - mają podobne znaczenie\nD - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_psc_regex": {
+      "task": "polish_psc_regex",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Fragment 1: \"{{extract_text}}\"\nFragment 2: \"{{summary_text}}\"\nPytanie: jaka jest zależność między fragmentami 1 i 2?\nMożliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - dotyczą tego samego artykułu\nC - dotyczą różnych artykułów\nD - brak poprawnej odpowiedzi\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    }
+  },
+  "versions": {
+    "polemo2_in": 1.0,
+    "polemo2_out": 1.0,
+    "polish_8tags_regex": "Yaml",
+    "polish_belebele_regex": "Yaml",
+    "polish_dyk_regex": "Yaml",
+    "polish_generate": "N/A",
+    "polish_ppc_regex": "Yaml",
+    "polish_psc_regex": "Yaml"
+  },
+  "n-shot": {
+    "polemo2_in": 0,
+    "polemo2_out": 0,
+    "polish_8tags_regex": 0,
+    "polish_belebele_regex": 0,
+    "polish_dyk_regex": 0,
+    "polish_generate": 0,
+    "polish_ppc_regex": 0,
+    "polish_psc_regex": 0
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=mistralai/Mistral-7B-v0.1,load_in_8bit=True",
+    "batch_size": "4",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}

polish_benchmarks-out16/results_Mistral-7B-v0.1-0_polish_mc/results.json

@@ -0,0 +1,357 @@
+{
+  "results": {
+    "polish_mc": {
+      "acc,none": 0.36227201667535175,
+      "acc_stderr,none": 0.04717067548681556,
+      "acc_norm,none": 0.4584679520583637,
+      "acc_norm_stderr,none": 0.05699426545309856,
+      "alias": "polish_mc"
+    },
+    "belebele_pol_Latn": {
+      "acc,none": 0.3844444444444444,
+      "acc_stderr,none": 0.016224472156351456,
+      "acc_norm,none": 0.3844444444444444,
+      "acc_norm_stderr,none": 0.016224472156351456,
+      "alias": " - belebele_pol_Latn"
+    },
+    "polemo2_in_multiple_choice": {
+      "acc,none": 0.6398891966759003,
+      "acc_stderr,none": 0.017877337200271817,
+      "acc_norm,none": 0.5512465373961218,
+      "acc_norm_stderr,none": 0.018522909771808996,
+      "alias": " - polemo2_in_multiple_choice"
+    },
+    "polemo2_out_multiple_choice": {
+      "acc,none": 0.4979757085020243,
+      "acc_stderr,none": 0.022518682901144425,
+      "acc_norm,none": 0.6153846153846154,
+      "acc_norm_stderr,none": 0.021911049688303364,
+      "alias": " - polemo2_out_multiple_choice"
+    },
+    "polish_8tags_multiple_choice": {
+      "acc,none": 0.27973467520585543,
+      "acc_stderr,none": 0.0067893625784577,
+      "acc_norm,none": 0.4922232387923147,
+      "acc_norm_stderr,none": 0.00756183269153676,
+      "alias": " - polish_8tags_multiple_choice"
+    },
+    "polish_dyk_multiple_choice": {
+      "acc,none": 0.34207968901846453,
+      "acc_stderr,none": 0.014796320639090105,
+      "acc_norm,none": 0.34207968901846453,
+      "acc_norm_stderr,none": 0.014796320639090105,
+      "alias": " - polish_dyk_multiple_choice"
+    },
+    "polish_ppc_multiple_choice": {
+      "acc,none": 0.399,
+      "acc_stderr,none": 0.015493193313162908,
+      "acc_norm,none": 0.399,
+      "acc_norm_stderr,none": 0.015493193313162908,
+      "alias": " - polish_ppc_multiple_choice"
+    },
+    "polish_psc_multiple_choice": {
+      "acc,none": 0.4155844155844156,
+      "acc_stderr,none": 0.015016982312043996,
+      "acc_norm,none": 0.4155844155844156,
+      "acc_norm_stderr,none": 0.015016982312043996,
+      "alias": " - polish_psc_multiple_choice"
+    }
+  },
+  "groups": {
+    "polish_mc": {
+      "acc,none": 0.36227201667535175,
+      "acc_stderr,none": 0.04717067548681556,
+      "acc_norm,none": 0.4584679520583637,
+      "acc_norm_stderr,none": 0.05699426545309856,
+      "alias": "polish_mc"
+    }
+  },
+  "configs": {
+    "belebele_pol_Latn": {
+      "task": "belebele_pol_Latn",
+      "group": "belebele",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "fewshot_split": "pol_Latn",
+      "doc_to_text": "P: {{flores_passage}}\nQ: {{question.strip()}}\nA: {{mc_answer1}}\nB: {{mc_answer2}}\nC: {{mc_answer3}}\nD: {{mc_answer4}}\nAnswer：",
+      "doc_to_target": "{{['1', '2', '3', '4'].index(correct_answer_num)}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C",
+        "D"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "fewshot_config": {
+        "sampler": "first_n"
+      },
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}}",
+      "metadata": {
+        "version": 0.0
+      }
+    },
+    "polemo2_in_multiple_choice": {
+      "task": "polemo2_in_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polemo2_out_multiple_choice": {
+      "task": "polemo2_out_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_multiple_choice": {
+      "task": "polish_8tags_multiple_choice",
+      "dataset_path": "djstrong/8tags",
+      "training_split": "train",
+      "test_split": "test",
+      "fewshot_split": "train",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nDo podanego tytułu przyporządkuj jedną najlepiej pasującą kategorię z podanych: Film, Historia, Jedzenie, Medycyna, Motoryzacja, Praca, Sport, Technologie.\nKategoria:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Film",
+        "Historia",
+        "Jedzenie",
+        "Medycyna",
+        "Motoryzacja",
+        "Praca",
+        "Sport",
+        "Technologie"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_dyk_multiple_choice": {
+      "task": "polish_dyk_multiple_choice",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nPytanie: Czy sugerowana odpowiedź na zadane pytanie jest poprawna?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{target|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_ppc_multiple_choice": {
+      "task": "polish_ppc_multiple_choice",
+      "dataset_path": "djstrong/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - znaczą dokładnie to samo\nB - mają podobne znaczenie\nC - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int - 1}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_psc_multiple_choice": {
+      "task": "polish_psc_multiple_choice",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Tekst: \"{{extract_text}}\"\nPodsumowanie: \"{{summary_text}}\"\nPytanie: Czy podsumowanie dla podanego tekstu jest poprawne?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    }
+  },
+  "versions": {
+    "belebele_pol_Latn": 0.0,
+    "polemo2_in_multiple_choice": "Yaml",
+    "polemo2_out_multiple_choice": "Yaml",
+    "polish_8tags_multiple_choice": "Yaml",
+    "polish_dyk_multiple_choice": "Yaml",
+    "polish_mc": "N/A",
+    "polish_ppc_multiple_choice": "Yaml",
+    "polish_psc_multiple_choice": "Yaml"
+  },
+  "n-shot": {
+    "belebele_pol_Latn": 0,
+    "polemo2_in_multiple_choice": 0,
+    "polemo2_out_multiple_choice": 0,
+    "polish_8tags_multiple_choice": 0,
+    "polish_dyk_multiple_choice": 0,
+    "polish_mc": 0,
+    "polish_ppc_multiple_choice": 0,
+    "polish_psc_multiple_choice": 0
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=mistralai/Mistral-7B-v0.1,load_in_8bit=True",
+    "batch_size": "4",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}

polish_benchmarks-out16/results_Mistral-7B-v0.1-5_polish_generate/results.json

@@ -0,0 +1,422 @@
+{
+  "results": {
+    "polish_generate": {
+      "exact_match,score-first": 0.6606565919749869,
+      "exact_match_stderr,score-first": 0.11832049608428108,
+      "alias": "polish_generate"
+    },
+    "polemo2_in": {
+      "exact_match,score-first": 0.6883656509695291,
+      "exact_match_stderr,score-first": 0.017249027853964156,
+      "alias": " - polemo2_in"
+    },
+    "polemo2_out": {
+      "exact_match,score-first": 0.631578947368421,
+      "exact_match_stderr,score-first": 0.021725139932578096,
+      "alias": " - polemo2_out"
+    },
+    "polish_8tags_regex": {
+      "exact_match,score-first": 0.7166056724611162,
+      "exact_match_stderr,score-first": 0.006816246600645744,
+      "alias": " - polish_8tags_regex"
+    },
+    "polish_belebele_regex": {
+      "exact_match,score-first": 0.7088888888888889,
+      "exact_match_stderr,score-first": 0.015150906906440088,
+      "alias": " - polish_belebele_regex"
+    },
+    "polish_dyk_regex": {
+      "exact_match,score-first": 0.8318756073858115,
+      "exact_match_stderr,score-first": 0.01166401318259015,
+      "alias": " - polish_dyk_regex"
+    },
+    "polish_ppc_regex": {
+      "exact_match,score-first": 0.535,
+      "exact_match_stderr,score-first": 0.01578049505003016,
+      "alias": " - polish_ppc_regex"
+    },
+    "polish_psc_regex": {
+      "exact_match,score-first": 0.34137291280148424,
+      "exact_match_stderr,score-first": 0.014448623392094184,
+      "alias": " - polish_psc_regex"
+    }
+  },
+  "groups": {
+    "polish_generate": {
+      "exact_match,score-first": 0.6606565919749869,
+      "exact_match_stderr,score-first": 0.11832049608428108,
+      "alias": "polish_generate"
+    }
+  },
+  "configs": {
+    "polemo2_in": {
+      "task": "polemo2_in",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_out": {
+      "task": "polemo2_out",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polish_8tags_regex": {
+      "task": "polish_8tags_regex",
+      "dataset_path": "sdadas/8tags",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nPytanie: jaka kategoria najlepiej pasuje do podanego tytułu?\nMożliwe odpowiedzi:\nA - film\nB - historia\nC - jedzenie\nD - medycyna\nE - motoryzacja\nF - praca\nG - sport\nH - technologie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D', 4: 'E', 5: 'F', 6: 'G', 7: 'H'}.get(label)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCDEFGH]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_belebele_regex": {
+      "task": "polish_belebele_regex",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "doc_to_text": "Fragment: \"{{flores_passage}}\"\nPytanie: \"{{question}}\"\nMożliwe odpowiedzi:\nA - {{mc_answer1}}\nB - {{mc_answer2}}\nC - {{mc_answer3}}\nD - {{mc_answer4}}\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(correct_answer_num|int - 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{flores_passage}} {{question}} {{mc_answer1}} {{mc_answer2}} {{mc_answer3}} {{mc_answer4}}"
+    },
+    "polish_dyk_regex": {
+      "task": "polish_dyk_regex",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nCzy sugerowana odpowiedź na zadane pytanie jest poprawna? Możliwe opcje:\nA - brakuje sugerowanej odpowiedzi\nB - nie, sugerowana odpowiedź nie jest poprawna\nC - tak, sugerowana odpowiedź jest poprawna\nD - brakuje pytania\nPrawidłowa opcja:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(target|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_ppc_regex": {
+      "task": "polish_ppc_regex",
+      "dataset_path": "sdadas/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - znaczą dokładnie to samo\nC - mają podobne znaczenie\nD - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_psc_regex": {
+      "task": "polish_psc_regex",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Fragment 1: \"{{extract_text}}\"\nFragment 2: \"{{summary_text}}\"\nPytanie: jaka jest zależność między fragmentami 1 i 2?\nMożliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - dotyczą tego samego artykułu\nC - dotyczą różnych artykułów\nD - brak poprawnej odpowiedzi\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    }
+  },
+  "versions": {
+    "polemo2_in": 1.0,
+    "polemo2_out": 1.0,
+    "polish_8tags_regex": "Yaml",
+    "polish_belebele_regex": "Yaml",
+    "polish_dyk_regex": "Yaml",
+    "polish_generate": "N/A",
+    "polish_ppc_regex": "Yaml",
+    "polish_psc_regex": "Yaml"
+  },
+  "n-shot": {
+    "polemo2_in": 5,
+    "polemo2_out": 5,
+    "polish_8tags_regex": 5,
+    "polish_belebele_regex": 5,
+    "polish_dyk_regex": 5,
+    "polish_generate": 5,
+    "polish_ppc_regex": 5,
+    "polish_psc_regex": 5
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=mistralai/Mistral-7B-v0.1,load_in_8bit=True",
+    "batch_size": "4",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}

polish_benchmarks-out16/results_Mistral-7B-v0.1-5_polish_mc/results.json

@@ -0,0 +1,357 @@
+{
+  "results": {
+    "polish_mc": {
+      "acc,none": 0.7136008337675873,
+      "acc_stderr,none": 0.04667902460946271,
+      "acc_norm,none": 0.7102657634184472,
+      "acc_norm_stderr,none": 0.04676619055581406,
+      "alias": "polish_mc"
+    },
+    "belebele_pol_Latn": {
+      "acc,none": 0.6766666666666666,
+      "acc_stderr,none": 0.015600294087844734,
+      "acc_norm,none": 0.6766666666666666,
+      "acc_norm_stderr,none": 0.015600294087844734,
+      "alias": " - belebele_pol_Latn"
+    },
+    "polemo2_in_multiple_choice": {
+      "acc,none": 0.7188365650969529,
+      "acc_stderr,none": 0.01674275290990633,
+      "acc_norm,none": 0.7202216066481995,
+      "acc_norm_stderr,none": 0.016717545989724802,
+      "alias": " - polemo2_in_multiple_choice"
+    },
+    "polemo2_out_multiple_choice": {
+      "acc,none": 0.6862348178137652,
+      "acc_stderr,none": 0.020898508377426517,
+      "acc_norm,none": 0.7024291497975709,
+      "acc_norm_stderr,none": 0.02059078937593709,
+      "alias": " - polemo2_out_multiple_choice"
+    },
+    "polish_8tags_multiple_choice": {
+      "acc,none": 0.7188929551692589,
+      "acc_stderr,none": 0.006799509351827805,
+      "acc_norm,none": 0.7095150960658737,
+      "acc_norm_stderr,none": 0.006866765250193195,
+      "alias": " - polish_8tags_multiple_choice"
+    },
+    "polish_dyk_multiple_choice": {
+      "acc,none": 0.8357628765792031,
+      "acc_stderr,none": 0.011555284585816245,
+      "acc_norm,none": 0.8357628765792031,
+      "acc_norm_stderr,none": 0.011555284585816245,
+      "alias": " - polish_dyk_multiple_choice"
+    },
+    "polish_ppc_multiple_choice": {
+      "acc,none": 0.615,
+      "acc_stderr,none": 0.015395194445410808,
+      "acc_norm,none": 0.615,
+      "acc_norm_stderr,none": 0.015395194445410808,
+      "alias": " - polish_ppc_multiple_choice"
+    },
+    "polish_psc_multiple_choice": {
+      "acc,none": 0.7068645640074211,
+      "acc_stderr,none": 0.013870573387180219,
+      "acc_norm,none": 0.7068645640074211,
+      "acc_norm_stderr,none": 0.013870573387180219,
+      "alias": " - polish_psc_multiple_choice"
+    }
+  },
+  "groups": {
+    "polish_mc": {
+      "acc,none": 0.7136008337675873,
+      "acc_stderr,none": 0.04667902460946271,
+      "acc_norm,none": 0.7102657634184472,
+      "acc_norm_stderr,none": 0.04676619055581406,
+      "alias": "polish_mc"
+    }
+  },
+  "configs": {
+    "belebele_pol_Latn": {
+      "task": "belebele_pol_Latn",
+      "group": "belebele",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "fewshot_split": "pol_Latn",
+      "doc_to_text": "P: {{flores_passage}}\nQ: {{question.strip()}}\nA: {{mc_answer1}}\nB: {{mc_answer2}}\nC: {{mc_answer3}}\nD: {{mc_answer4}}\nAnswer：",
+      "doc_to_target": "{{['1', '2', '3', '4'].index(correct_answer_num)}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C",
+        "D"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "fewshot_config": {
+        "sampler": "first_n"
+      },
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}}",
+      "metadata": {
+        "version": 0.0
+      }
+    },
+    "polemo2_in_multiple_choice": {
+      "task": "polemo2_in_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polemo2_out_multiple_choice": {
+      "task": "polemo2_out_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_multiple_choice": {
+      "task": "polish_8tags_multiple_choice",
+      "dataset_path": "djstrong/8tags",
+      "training_split": "train",
+      "test_split": "test",
+      "fewshot_split": "train",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nDo podanego tytułu przyporządkuj jedną najlepiej pasującą kategorię z podanych: Film, Historia, Jedzenie, Medycyna, Motoryzacja, Praca, Sport, Technologie.\nKategoria:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Film",
+        "Historia",
+        "Jedzenie",
+        "Medycyna",
+        "Motoryzacja",
+        "Praca",
+        "Sport",
+        "Technologie"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_dyk_multiple_choice": {
+      "task": "polish_dyk_multiple_choice",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nPytanie: Czy sugerowana odpowiedź na zadane pytanie jest poprawna?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{target|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_ppc_multiple_choice": {
+      "task": "polish_ppc_multiple_choice",
+      "dataset_path": "djstrong/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - znaczą dokładnie to samo\nB - mają podobne znaczenie\nC - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int - 1}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_psc_multiple_choice": {
+      "task": "polish_psc_multiple_choice",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Tekst: \"{{extract_text}}\"\nPodsumowanie: \"{{summary_text}}\"\nPytanie: Czy podsumowanie dla podanego tekstu jest poprawne?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    }
+  },
+  "versions": {
+    "belebele_pol_Latn": 0.0,
+    "polemo2_in_multiple_choice": "Yaml",
+    "polemo2_out_multiple_choice": "Yaml",
+    "polish_8tags_multiple_choice": "Yaml",
+    "polish_dyk_multiple_choice": "Yaml",
+    "polish_mc": "N/A",
+    "polish_ppc_multiple_choice": "Yaml",
+    "polish_psc_multiple_choice": "Yaml"
+  },
+  "n-shot": {
+    "belebele_pol_Latn": 5,
+    "polemo2_in_multiple_choice": 5,
+    "polemo2_out_multiple_choice": 5,
+    "polish_8tags_multiple_choice": 5,
+    "polish_dyk_multiple_choice": 5,
+    "polish_mc": 5,
+    "polish_ppc_multiple_choice": 5,
+    "polish_psc_multiple_choice": 5
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=mistralai/Mistral-7B-v0.1,load_in_8bit=True",
+    "batch_size": "4",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}

polish_benchmarks-out17/results_zephyr-speakleash-007-pl-8192-32-16-0.05-0_polish/results.json

@@ -0,0 +1,747 @@
+{
+  "results": {
+    "polish": {
+      "acc,none": 0.5150426314064328,
+      "acc_stderr,none": 0.02084925895237145,
+      "acc_norm,none": 0.51034687546702,
+      "acc_norm_stderr,none": 0.01981008430231029,
+      "exact_match,score-first": 0.20640208219447245,
+      "exact_match_stderr,score-first": 0.16605823463539698,
+      "alias": "polish"
+    },
+    "belebele_pol_Latn": {
+      "acc,none": 0.3188888888888889,
+      "acc_stderr,none": 0.015543500457982978,
+      "acc_norm,none": 0.3188888888888889,
+      "acc_norm_stderr,none": 0.015543500457982978,
+      "alias": " - belebele_pol_Latn"
+    },
+    "polemo2_in": {
+      "exact_match,score-first": 0.0,
+      "exact_match_stderr,score-first": 0.0,
+      "alias": " - polemo2_in"
+    },
+    "polemo2_in_multiple_choice": {
+      "acc,none": 0.8088642659279779,
+      "acc_stderr,none": 0.014643373399304915,
+      "acc_norm,none": 0.721606648199446,
+      "acc_norm_stderr,none": 0.01669214160924836,
+      "alias": " - polemo2_in_multiple_choice"
+    },
+    "polemo2_out": {
+      "exact_match,score-first": 0.0,
+      "exact_match_stderr,score-first": 0.0,
+      "alias": " - polemo2_out"
+    },
+    "polemo2_out_multiple_choice": {
+      "acc,none": 0.5890688259109311,
+      "acc_stderr,none": 0.02215869118042188,
+      "acc_norm,none": 0.7064777327935222,
+      "acc_norm_stderr,none": 0.020509085992218148,
+      "alias": " - polemo2_out_multiple_choice"
+    },
+    "polish_8tags_multiple_choice": {
+      "acc,none": 0.6301463860933212,
+      "acc_stderr,none": 0.007302057610105687,
+      "acc_norm,none": 0.62419945105215,
+      "acc_norm_stderr,none": 0.007325714564602613,
+      "alias": " - polish_8tags_multiple_choice"
+    },
+    "polish_8tags_regex": {
+      "exact_match,score-first": 0.4846752058554437,
+      "exact_match_stderr,score-first": 0.007559194460000764,
+      "alias": " - polish_8tags_regex"
+    },
+    "polish_belebele_regex": {
+      "exact_match,score-first": 0.3511111111111111,
+      "exact_match_stderr,score-first": 0.015919433516195364,
+      "alias": " - polish_belebele_regex"
+    },
+    "polish_dyk_multiple_choice": {
+      "acc,none": 0.17103984450923226,
+      "acc_stderr,none": 0.011744077740056324,
+      "acc_norm,none": 0.17103984450923226,
+      "acc_norm_stderr,none": 0.011744077740056324,
+      "alias": " - polish_dyk_multiple_choice"
+    },
+    "polish_dyk_regex": {
+      "exact_match,score-first": 0.0,
+      "exact_match_stderr,score-first": 0.0,
+      "alias": " - polish_dyk_regex"
+    },
+    "polish_ppc_multiple_choice": {
+      "acc,none": 0.365,
+      "acc_stderr,none": 0.015231776226264914,
+      "acc_norm,none": 0.365,
+      "acc_norm_stderr,none": 0.015231776226264914,
+      "alias": " - polish_ppc_multiple_choice"
+    },
+    "polish_ppc_regex": {
+      "exact_match,score-first": 0.404,
+      "exact_match_stderr,score-first": 0.015524980677122583,
+      "alias": " - polish_ppc_regex"
+    },
+    "polish_psc_multiple_choice": {
+      "acc,none": 0.3042671614100185,
+      "acc_stderr,none": 0.014019771683156095,
+      "acc_norm,none": 0.3042671614100185,
+      "acc_norm_stderr,none": 0.014019771683156095,
+      "alias": " - polish_psc_multiple_choice"
+    },
+    "polish_psc_regex": {
+      "exact_match,score-first": 0.5111317254174397,
+      "exact_match_stderr,score-first": 0.015231914544654893,
+      "alias": " - polish_psc_regex"
+    }
+  },
+  "groups": {
+    "polish": {
+      "acc,none": 0.5150426314064328,
+      "acc_stderr,none": 0.02084925895237145,
+      "acc_norm,none": 0.51034687546702,
+      "acc_norm_stderr,none": 0.01981008430231029,
+      "exact_match,score-first": 0.20640208219447245,
+      "exact_match_stderr,score-first": 0.16605823463539698,
+      "alias": "polish"
+    }
+  },
+  "configs": {
+    "belebele_pol_Latn": {
+      "task": "belebele_pol_Latn",
+      "group": "belebele",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "fewshot_split": "pol_Latn",
+      "doc_to_text": "P: {{flores_passage}}\nQ: {{question.strip()}}\nA: {{mc_answer1}}\nB: {{mc_answer2}}\nC: {{mc_answer3}}\nD: {{mc_answer4}}\nAnswer：",
+      "doc_to_target": "{{['1', '2', '3', '4'].index(correct_answer_num)}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C",
+        "D"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "fewshot_config": {
+        "sampler": "first_n"
+      },
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}}",
+      "metadata": {
+        "version": 0.0
+      }
+    },
+    "polemo2_in": {
+      "task": "polemo2_in",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_in_multiple_choice": {
+      "task": "polemo2_in_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polemo2_out": {
+      "task": "polemo2_out",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_out_multiple_choice": {
+      "task": "polemo2_out_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_multiple_choice": {
+      "task": "polish_8tags_multiple_choice",
+      "dataset_path": "djstrong/8tags",
+      "training_split": "train",
+      "test_split": "test",
+      "fewshot_split": "train",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nDo podanego tytułu przyporządkuj jedną najlepiej pasującą kategorię z podanych: Film, Historia, Jedzenie, Medycyna, Motoryzacja, Praca, Sport, Technologie.\nKategoria:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Film",
+        "Historia",
+        "Jedzenie",
+        "Medycyna",
+        "Motoryzacja",
+        "Praca",
+        "Sport",
+        "Technologie"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_regex": {
+      "task": "polish_8tags_regex",
+      "dataset_path": "sdadas/8tags",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nPytanie: jaka kategoria najlepiej pasuje do podanego tytułu?\nMożliwe odpowiedzi:\nA - film\nB - historia\nC - jedzenie\nD - medycyna\nE - motoryzacja\nF - praca\nG - sport\nH - technologie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D', 4: 'E', 5: 'F', 6: 'G', 7: 'H'}.get(label)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCDEFGH]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_belebele_regex": {
+      "task": "polish_belebele_regex",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "doc_to_text": "Fragment: \"{{flores_passage}}\"\nPytanie: \"{{question}}\"\nMożliwe odpowiedzi:\nA - {{mc_answer1}}\nB - {{mc_answer2}}\nC - {{mc_answer3}}\nD - {{mc_answer4}}\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(correct_answer_num|int - 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{flores_passage}} {{question}} {{mc_answer1}} {{mc_answer2}} {{mc_answer3}} {{mc_answer4}}"
+    },
+    "polish_dyk_multiple_choice": {
+      "task": "polish_dyk_multiple_choice",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nPytanie: Czy sugerowana odpowiedź na zadane pytanie jest poprawna?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{target|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_dyk_regex": {
+      "task": "polish_dyk_regex",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nCzy sugerowana odpowiedź na zadane pytanie jest poprawna? Możliwe opcje:\nA - brakuje sugerowanej odpowiedzi\nB - nie, sugerowana odpowiedź nie jest poprawna\nC - tak, sugerowana odpowiedź jest poprawna\nD - brakuje pytania\nPrawidłowa opcja:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(target|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_ppc_multiple_choice": {
+      "task": "polish_ppc_multiple_choice",
+      "dataset_path": "djstrong/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - znaczą dokładnie to samo\nB - mają podobne znaczenie\nC - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int - 1}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_ppc_regex": {
+      "task": "polish_ppc_regex",
+      "dataset_path": "sdadas/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - znaczą dokładnie to samo\nC - mają podobne znaczenie\nD - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_psc_multiple_choice": {
+      "task": "polish_psc_multiple_choice",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Tekst: \"{{extract_text}}\"\nPodsumowanie: \"{{summary_text}}\"\nPytanie: Czy podsumowanie dla podanego tekstu jest poprawne?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    },
+    "polish_psc_regex": {
+      "task": "polish_psc_regex",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Fragment 1: \"{{extract_text}}\"\nFragment 2: \"{{summary_text}}\"\nPytanie: jaka jest zależność między fragmentami 1 i 2?\nMożliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - dotyczą tego samego artykułu\nC - dotyczą różnych artykułów\nD - brak poprawnej odpowiedzi\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    }
+  },
+  "versions": {
+    "belebele_pol_Latn": 0.0,
+    "polemo2_in": 1.0,
+    "polemo2_in_multiple_choice": "Yaml",
+    "polemo2_out": 1.0,
+    "polemo2_out_multiple_choice": "Yaml",
+    "polish": "N/A",
+    "polish_8tags_multiple_choice": "Yaml",
+    "polish_8tags_regex": "Yaml",
+    "polish_belebele_regex": "Yaml",
+    "polish_dyk_multiple_choice": "Yaml",
+    "polish_dyk_regex": "Yaml",
+    "polish_ppc_multiple_choice": "Yaml",
+    "polish_ppc_regex": "Yaml",
+    "polish_psc_multiple_choice": "Yaml",
+    "polish_psc_regex": "Yaml"
+  },
+  "n-shot": {
+    "belebele_pol_Latn": 0,
+    "polemo2_in": 0,
+    "polemo2_in_multiple_choice": 0,
+    "polemo2_out": 0,
+    "polemo2_out_multiple_choice": 0,
+    "polish": 0,
+    "polish_8tags_multiple_choice": 0,
+    "polish_8tags_regex": 0,
+    "polish_belebele_regex": 0,
+    "polish_dyk_multiple_choice": 0,
+    "polish_dyk_regex": 0,
+    "polish_ppc_multiple_choice": 0,
+    "polish_ppc_regex": 0,
+    "polish_psc_multiple_choice": 0,
+    "polish_psc_regex": 0
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=Nondzu/zephyr-speakleash-007-pl-8192-32-16-0.05",
+    "batch_size": "8",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}

polish_benchmarks-out17/results_zephyr-speakleash-007-pl-8192-32-16-0.05-5_polish_generate/results.json

@@ -0,0 +1,422 @@
+{
+  "results": {
+    "polish_generate": {
+      "exact_match,score-first": 0.6150078165711308,
+      "exact_match_stderr,score-first": 0.1279880115837021,
+      "alias": "polish_generate"
+    },
+    "polemo2_in": {
+      "exact_match,score-first": 0.7936288088642659,
+      "exact_match_stderr,score-first": 0.015071817101529623,
+      "alias": " - polemo2_in"
+    },
+    "polemo2_out": {
+      "exact_match,score-first": 0.6821862348178138,
+      "exact_match_stderr,score-first": 0.02097076956508622,
+      "alias": " - polemo2_out"
+    },
+    "polish_8tags_regex": {
+      "exact_match,score-first": 0.6626258005489478,
+      "exact_match_stderr,score-first": 0.007151542126842266,
+      "alias": " - polish_8tags_regex"
+    },
+    "polish_belebele_regex": {
+      "exact_match,score-first": 0.6377777777777778,
+      "exact_match_stderr,score-first": 0.01603032734626064,
+      "alias": " - polish_belebele_regex"
+    },
+    "polish_dyk_regex": {
+      "exact_match,score-first": 0.640427599611273,
+      "exact_match_stderr,score-first": 0.014966892427527188,
+      "alias": " - polish_dyk_regex"
+    },
+    "polish_ppc_regex": {
+      "exact_match,score-first": 0.626,
+      "exact_match_stderr,score-first": 0.01530876736900636,
+      "alias": " - polish_ppc_regex"
+    },
+    "polish_psc_regex": {
+      "exact_match,score-first": 0.21799628942486085,
+      "exact_match_stderr,score-first": 0.01258117218020259,
+      "alias": " - polish_psc_regex"
+    }
+  },
+  "groups": {
+    "polish_generate": {
+      "exact_match,score-first": 0.6150078165711308,
+      "exact_match_stderr,score-first": 0.1279880115837021,
+      "alias": "polish_generate"
+    }
+  },
+  "configs": {
+    "polemo2_in": {
+      "task": "polemo2_in",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_out": {
+      "task": "polemo2_out",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polish_8tags_regex": {
+      "task": "polish_8tags_regex",
+      "dataset_path": "sdadas/8tags",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nPytanie: jaka kategoria najlepiej pasuje do podanego tytułu?\nMożliwe odpowiedzi:\nA - film\nB - historia\nC - jedzenie\nD - medycyna\nE - motoryzacja\nF - praca\nG - sport\nH - technologie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D', 4: 'E', 5: 'F', 6: 'G', 7: 'H'}.get(label)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCDEFGH]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_belebele_regex": {
+      "task": "polish_belebele_regex",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "doc_to_text": "Fragment: \"{{flores_passage}}\"\nPytanie: \"{{question}}\"\nMożliwe odpowiedzi:\nA - {{mc_answer1}}\nB - {{mc_answer2}}\nC - {{mc_answer3}}\nD - {{mc_answer4}}\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(correct_answer_num|int - 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{flores_passage}} {{question}} {{mc_answer1}} {{mc_answer2}} {{mc_answer3}} {{mc_answer4}}"
+    },
+    "polish_dyk_regex": {
+      "task": "polish_dyk_regex",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nCzy sugerowana odpowiedź na zadane pytanie jest poprawna? Możliwe opcje:\nA - brakuje sugerowanej odpowiedzi\nB - nie, sugerowana odpowiedź nie jest poprawna\nC - tak, sugerowana odpowiedź jest poprawna\nD - brakuje pytania\nPrawidłowa opcja:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(target|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_ppc_regex": {
+      "task": "polish_ppc_regex",
+      "dataset_path": "sdadas/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - znaczą dokładnie to samo\nC - mają podobne znaczenie\nD - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_psc_regex": {
+      "task": "polish_psc_regex",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Fragment 1: \"{{extract_text}}\"\nFragment 2: \"{{summary_text}}\"\nPytanie: jaka jest zależność między fragmentami 1 i 2?\nMożliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - dotyczą tego samego artykułu\nC - dotyczą różnych artykułów\nD - brak poprawnej odpowiedzi\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    }
+  },
+  "versions": {
+    "polemo2_in": 1.0,
+    "polemo2_out": 1.0,
+    "polish_8tags_regex": "Yaml",
+    "polish_belebele_regex": "Yaml",
+    "polish_dyk_regex": "Yaml",
+    "polish_generate": "N/A",
+    "polish_ppc_regex": "Yaml",
+    "polish_psc_regex": "Yaml"
+  },
+  "n-shot": {
+    "polemo2_in": 5,
+    "polemo2_out": 5,
+    "polish_8tags_regex": 5,
+    "polish_belebele_regex": 5,
+    "polish_dyk_regex": 5,
+    "polish_generate": 5,
+    "polish_ppc_regex": 5,
+    "polish_psc_regex": 5
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=Nondzu/zephyr-speakleash-007-pl-8192-32-16-0.05",
+    "batch_size": "4",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}

polish_benchmarks-out17/results_zephyr-speakleash-007-pl-8192-32-16-0.05-5_polish_mc/results.json

@@ -0,0 +1,357 @@
+{
+  "results": {
+    "polish_mc": {
+      "acc,none": 0.7073475768629495,
+      "acc_stderr,none": 0.05030717028335053,
+      "acc_norm,none": 0.7093277748827514,
+      "acc_norm_stderr,none": 0.049301586343680995,
+      "alias": "polish_mc"
+    },
+    "belebele_pol_Latn": {
+      "acc,none": 0.54,
+      "acc_stderr,none": 0.016622485006352963,
+      "acc_norm,none": 0.54,
+      "acc_norm_stderr,none": 0.016622485006352963,
+      "alias": " - belebele_pol_Latn"
+    },
+    "polemo2_in_multiple_choice": {
+      "acc,none": 0.832409972299169,
+      "acc_stderr,none": 0.013909934700735784,
+      "acc_norm,none": 0.8116343490304709,
+      "acc_norm_stderr,none": 0.0145617453584378,
+      "alias": " - polemo2_in_multiple_choice"
+    },
+    "polemo2_out_multiple_choice": {
+      "acc,none": 0.6761133603238867,
+      "acc_stderr,none": 0.021075739218382666,
+      "acc_norm,none": 0.7327935222672065,
+      "acc_norm_stderr,none": 0.019929244821849684,
+      "alias": " - polemo2_out_multiple_choice"
+    },
+    "polish_8tags_multiple_choice": {
+      "acc,none": 0.692131747483989,
+      "acc_stderr,none": 0.006982105958572425,
+      "acc_norm,none": 0.6935041171088746,
+      "acc_norm_stderr,none": 0.00697342992568039,
+      "alias": " - polish_8tags_multiple_choice"
+    },
+    "polish_dyk_multiple_choice": {
+      "acc,none": 0.7862001943634597,
+      "acc_stderr,none": 0.012787147332879332,
+      "acc_norm,none": 0.7862001943634597,
+      "acc_norm_stderr,none": 0.012787147332879332,
+      "alias": " - polish_dyk_multiple_choice"
+    },
+    "polish_ppc_multiple_choice": {
+      "acc,none": 0.687,
+      "acc_stderr,none": 0.014671272822977883,
+      "acc_norm,none": 0.687,
+      "acc_norm_stderr,none": 0.014671272822977883,
+      "alias": " - polish_ppc_multiple_choice"
+    },
+    "polish_psc_multiple_choice": {
+      "acc,none": 0.7829313543599258,
+      "acc_stderr,none": 0.012561819232608731,
+      "acc_norm,none": 0.7829313543599258,
+      "acc_norm_stderr,none": 0.012561819232608731,
+      "alias": " - polish_psc_multiple_choice"
+    }
+  },
+  "groups": {
+    "polish_mc": {
+      "acc,none": 0.7073475768629495,
+      "acc_stderr,none": 0.05030717028335053,
+      "acc_norm,none": 0.7093277748827514,
+      "acc_norm_stderr,none": 0.049301586343680995,
+      "alias": "polish_mc"
+    }
+  },
+  "configs": {
+    "belebele_pol_Latn": {
+      "task": "belebele_pol_Latn",
+      "group": "belebele",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "fewshot_split": "pol_Latn",
+      "doc_to_text": "P: {{flores_passage}}\nQ: {{question.strip()}}\nA: {{mc_answer1}}\nB: {{mc_answer2}}\nC: {{mc_answer3}}\nD: {{mc_answer4}}\nAnswer：",
+      "doc_to_target": "{{['1', '2', '3', '4'].index(correct_answer_num)}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C",
+        "D"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "fewshot_config": {
+        "sampler": "first_n"
+      },
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}}",
+      "metadata": {
+        "version": 0.0
+      }
+    },
+    "polemo2_in_multiple_choice": {
+      "task": "polemo2_in_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polemo2_out_multiple_choice": {
+      "task": "polemo2_out_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_multiple_choice": {
+      "task": "polish_8tags_multiple_choice",
+      "dataset_path": "djstrong/8tags",
+      "training_split": "train",
+      "test_split": "test",
+      "fewshot_split": "train",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nDo podanego tytułu przyporządkuj jedną najlepiej pasującą kategorię z podanych: Film, Historia, Jedzenie, Medycyna, Motoryzacja, Praca, Sport, Technologie.\nKategoria:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Film",
+        "Historia",
+        "Jedzenie",
+        "Medycyna",
+        "Motoryzacja",
+        "Praca",
+        "Sport",
+        "Technologie"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_dyk_multiple_choice": {
+      "task": "polish_dyk_multiple_choice",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nPytanie: Czy sugerowana odpowiedź na zadane pytanie jest poprawna?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{target|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_ppc_multiple_choice": {
+      "task": "polish_ppc_multiple_choice",
+      "dataset_path": "djstrong/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - znaczą dokładnie to samo\nB - mają podobne znaczenie\nC - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int - 1}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_psc_multiple_choice": {
+      "task": "polish_psc_multiple_choice",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Tekst: \"{{extract_text}}\"\nPodsumowanie: \"{{summary_text}}\"\nPytanie: Czy podsumowanie dla podanego tekstu jest poprawne?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    }
+  },
+  "versions": {
+    "belebele_pol_Latn": 0.0,
+    "polemo2_in_multiple_choice": "Yaml",
+    "polemo2_out_multiple_choice": "Yaml",
+    "polish_8tags_multiple_choice": "Yaml",
+    "polish_dyk_multiple_choice": "Yaml",
+    "polish_mc": "N/A",
+    "polish_ppc_multiple_choice": "Yaml",
+    "polish_psc_multiple_choice": "Yaml"
+  },
+  "n-shot": {
+    "belebele_pol_Latn": 5,
+    "polemo2_in_multiple_choice": 5,
+    "polemo2_out_multiple_choice": 5,
+    "polish_8tags_multiple_choice": 5,
+    "polish_dyk_multiple_choice": 5,
+    "polish_mc": 5,
+    "polish_ppc_multiple_choice": 5,
+    "polish_psc_multiple_choice": 5
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=Nondzu/zephyr-speakleash-007-pl-8192-32-16-0.05",
+    "batch_size": "4",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}

polish_benchmarks-out2/results_APT3-1B-Base-0_polish/results.json

@@ -0,0 +1,911 @@
+{
+  "results": {
+    "polish": {
+      "acc,none": 0.2469516433240102,
+      "acc_stderr,none": 0.002521729293912833,
+      "acc_norm,none": 0.18576755323628613,
+      "acc_norm_stderr,none": 0.005694795296320046,
+      "f1,score-first": 0.045672385611171505,
+      "f1_stderr,score-first": 0.024089620479639893,
+      "accuracy,score-first": 0.045672385611171505,
+      "accuracy_stderr,score-first": 0.024089620479639893,
+      "alias": "polish"
+    },
+    "belebele_pol_Latn": {
+      "acc,none": 0.22111111111111112,
+      "acc_stderr,none": 0.013840863699859518,
+      "acc_norm,none": 0.22111111111111112,
+      "acc_norm_stderr,none": 0.013840863699859518,
+      "alias": " - belebele_pol_Latn"
+    },
+    "polemo2_in": {
+      "f1,score-first": 0.03185595567867036,
+      "f1_stderr,score-first": 0.006540300095172154,
+      "accuracy,score-first": 0.03185595567867036,
+      "accuracy_stderr,score-first": 0.006540300095172154,
+      "alias": " - polemo2_in"
+    },
+    "polemo2_in_multiple_choice": {
+      "acc,none": 0.3060941828254848,
+      "acc_stderr,none": 0.017163670550803943,
+      "acc_norm,none": 0.16204986149584488,
+      "acc_norm_stderr,none": 0.01372352849077817,
+      "alias": " - polemo2_in_multiple_choice"
+    },
+    "polemo2_out": {
+      "f1,score-first": 0.006072874493927126,
+      "f1_stderr,score-first": 0.003499056577953027,
+      "accuracy,score-first": 0.006072874493927126,
+      "accuracy_stderr,score-first": 0.003499056577953027,
+      "alias": " - polemo2_out"
+    },
+    "polemo2_out_multiple_choice": {
+      "acc,none": 0.31781376518218624,
+      "acc_stderr,none": 0.020970769565086228,
+      "acc_norm,none": 0.35020242914979755,
+      "acc_norm_stderr,none": 0.021484495459914724,
+      "alias": " - polemo2_out_multiple_choice"
+    },
+    "polish_8tags_multiple_choice": {
+      "acc,none": 0.21294602012808783,
+      "acc_stderr,none": 0.006192223457856202,
+      "acc_norm,none": 0.10612991765782251,
+      "acc_norm_stderr,none": 0.004658710368821291,
+      "alias": " - polish_8tags_multiple_choice"
+    },
+    "polish_8tags_regex": {
+      "f1,score-first": 0.08828911253430924,
+      "f1_stderr,score-first": 0.0042913283228207064,
+      "accuracy,score-first": 0.08828911253430924,
+      "accuracy_stderr,score-first": 0.0042913283228207064,
+      "alias": " - polish_8tags_regex"
+    },
+    "polish_belebele_regex": {
+      "f1,score-first": 0.06333333333333334,
+      "f1_stderr,score-first": 0.008123232055260209,
+      "accuracy,score-first": 0.06333333333333334,
+      "accuracy_stderr,score-first": 0.008123232055260209,
+      "alias": " - polish_belebele_regex"
+    },
+    "polish_dyk_multiple_choice": {
+      "acc,none": 0.2196307094266278,
+      "acc_stderr,none": 0.01291219452361766,
+      "acc_norm,none": 0.2196307094266278,
+      "acc_norm_stderr,none": 0.01291219452361766,
+      "alias": " - polish_dyk_multiple_choice"
+    },
+    "polish_dyk_regex": {
+      "f1,score-first": 0.0,
+      "f1_stderr,score-first": 0.0,
+      "accuracy,score-first": 0.0,
+      "accuracy_stderr,score-first": 0.0,
+      "alias": " - polish_dyk_regex"
+    },
+    "polish_ppc_multiple_choice": {
+      "acc,none": 0.419,
+      "acc_stderr,none": 0.015610338967577797,
+      "acc_norm,none": 0.419,
+      "acc_norm_stderr,none": 0.015610338967577797,
+      "alias": " - polish_ppc_multiple_choice"
+    },
+    "polish_ppc_regex": {
+      "f1,score-first": 0.003,
+      "f1_stderr,score-first": 0.0017303161543469228,
+      "accuracy,score-first": 0.003,
+      "accuracy_stderr,score-first": 0.0017303161543469228,
+      "alias": " - polish_ppc_regex"
+    },
+    "polish_psc_multiple_choice": {
+      "acc,none": 0.3079777365491651,
+      "acc_stderr,none": 0.014067335427669261,
+      "acc_norm,none": 0.3079777365491651,
+      "acc_norm_stderr,none": 0.014067335427669261,
+      "alias": " - polish_psc_multiple_choice"
+    },
+    "polish_psc_regex": {
+      "f1,score-first": 0.06771799628942486,
+      "f1_stderr,score-first": 0.0076562807170192275,
+      "accuracy,score-first": 0.06771799628942486,
+      "accuracy_stderr,score-first": 0.0076562807170192275,
+      "alias": " - polish_psc_regex"
+    }
+  },
+  "groups": {
+    "polish": {
+      "acc,none": 0.2469516433240102,
+      "acc_stderr,none": 0.002521729293912833,
+      "acc_norm,none": 0.18576755323628613,
+      "acc_norm_stderr,none": 0.005694795296320046,
+      "f1,score-first": 0.045672385611171505,
+      "f1_stderr,score-first": 0.024089620479639893,
+      "accuracy,score-first": 0.045672385611171505,
+      "accuracy_stderr,score-first": 0.024089620479639893,
+      "alias": "polish"
+    }
+  },
+  "configs": {
+    "belebele_pol_Latn": {
+      "task": "belebele_pol_Latn",
+      "group": "belebele",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "fewshot_split": "pol_Latn",
+      "doc_to_text": "P: {{flores_passage}}\nQ: {{question.strip()}}\nA: {{mc_answer1}}\nB: {{mc_answer2}}\nC: {{mc_answer3}}\nD: {{mc_answer4}}\nAnswer：",
+      "doc_to_target": "{{['1', '2', '3', '4'].index(correct_answer_num)}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C",
+        "D"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "fewshot_config": {
+        "sampler": "first_n"
+      },
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}}",
+      "metadata": {
+        "version": 0.0
+      }
+    },
+    "polemo2_in": {
+      "task": "polemo2_in",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "f1",
+          "aggregation": "mean",
+          "higher_is_better": true,
+          "hf_evaluate": true,
+          "average": "micro"
+        },
+        {
+          "metric": "accuracy",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            },
+            {
+              "function": "map",
+              "mapping_dict": {
+                "A": 0,
+                "B": 1,
+                "C": 2,
+                "D": 3
+              },
+              "default_value": -1
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_in_multiple_choice": {
+      "task": "polemo2_in_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polemo2_out": {
+      "task": "polemo2_out",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "f1",
+          "aggregation": "mean",
+          "higher_is_better": true,
+          "hf_evaluate": true,
+          "average": "micro"
+        },
+        {
+          "metric": "accuracy",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            },
+            {
+              "function": "map",
+              "mapping_dict": {
+                "A": 0,
+                "B": 1,
+                "C": 2,
+                "D": 3
+              },
+              "default_value": -1
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_out_multiple_choice": {
+      "task": "polemo2_out_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_multiple_choice": {
+      "task": "polish_8tags_multiple_choice",
+      "dataset_path": "djstrong/8tags",
+      "training_split": "train",
+      "test_split": "test",
+      "fewshot_split": "train",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nDo podanego tytułu przyporządkuj jedną najlepiej pasującą kategorię z podanych: Film, Historia, Jedzenie, Medycyna, Motoryzacja, Praca, Sport, Technologie.\nKategoria:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Film",
+        "Historia",
+        "Jedzenie",
+        "Medycyna",
+        "Motoryzacja",
+        "Praca",
+        "Sport",
+        "Technologie"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_regex": {
+      "task": "polish_8tags_regex",
+      "dataset_path": "djstrong/8tags",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nPytanie: jaka kategoria najlepiej pasuje do podanego tytułu?\nMożliwe odpowiedzi:\nA - film\nB - historia\nC - jedzenie\nD - medycyna\nE - motoryzacja\nF - praca\nG - sport\nH - technologie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "f1",
+          "aggregation": "mean",
+          "higher_is_better": true,
+          "hf_evaluate": true,
+          "average": "micro"
+        },
+        {
+          "metric": "accuracy",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCDEFGH]\\b)"
+            },
+            {
+              "function": "take_first"
+            },
+            {
+              "function": "map",
+              "mapping_dict": {
+                "A": 0,
+                "B": 1,
+                "C": 2,
+                "D": 3,
+                "E": 4,
+                "F": 5,
+                "G": 6,
+                "H": 7
+              },
+              "default_value": -1
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_belebele_regex": {
+      "task": "polish_belebele_regex",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "doc_to_text": "Fragment: \"{{flores_passage}}\"\nPytanie: \"{{question}}\"\nMożliwe odpowiedzi:\nA - {{mc_answer1}}\nB - {{mc_answer2}}\nC - {{mc_answer3}}\nD - {{mc_answer4}}\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{correct_answer_num|int - 1}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "f1",
+          "aggregation": "mean",
+          "higher_is_better": true,
+          "hf_evaluate": true,
+          "average": "micro"
+        },
+        {
+          "metric": "accuracy",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            },
+            {
+              "function": "map",
+              "mapping_dict": {
+                "A": 0,
+                "B": 1,
+                "C": 2,
+                "D": 3
+              },
+              "default_value": -1
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{flores_passage}} {{question}} {{mc_answer1}} {{mc_answer2}} {{mc_answer3}} {{mc_answer4}}"
+    },
+    "polish_dyk_multiple_choice": {
+      "task": "polish_dyk_multiple_choice",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nPytanie: Czy sugerowana odpowiedź na zadane pytanie jest poprawna?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{target|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_dyk_regex": {
+      "task": "polish_dyk_regex",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nCzy sugerowana odpowiedź na zadane pytanie jest poprawna? Możliwe opcje:\nA - brakuje sugerowanej odpowiedzi\nB - nie, sugerowana odpowiedź nie jest poprawna\nC - tak, sugerowana odpowiedź jest poprawna\nD - brakuje pytania\nPrawidłowa opcja:",
+      "doc_to_target": "{{target|int+1}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "f1",
+          "aggregation": "mean",
+          "higher_is_better": true,
+          "hf_evaluate": true,
+          "average": "micro"
+        },
+        {
+          "metric": "accuracy",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            },
+            {
+              "function": "map",
+              "mapping_dict": {
+                "A": 0,
+                "B": 1,
+                "C": 2,
+                "D": 3
+              },
+              "default_value": -1
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_ppc_multiple_choice": {
+      "task": "polish_ppc_multiple_choice",
+      "dataset_path": "djstrong/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - znaczą dokładnie to samo\nB - mają podobne znaczenie\nC - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int - 1}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_ppc_regex": {
+      "task": "polish_ppc_regex",
+      "dataset_path": "djstrong/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - znaczą dokładnie to samo\nC - mają podobne znaczenie\nD - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "f1",
+          "aggregation": "mean",
+          "higher_is_better": true,
+          "hf_evaluate": true,
+          "average": "micro"
+        },
+        {
+          "metric": "accuracy",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            },
+            {
+              "function": "map",
+              "mapping_dict": {
+                "A": 0,
+                "B": 1,
+                "C": 2,
+                "D": 3
+              },
+              "default_value": -1
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_psc_multiple_choice": {
+      "task": "polish_psc_multiple_choice",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Tekst: \"{{extract_text}}\"\nPodsumowanie: \"{{summary_text}}\"\nPytanie: Czy podsumowanie dla podanego tekstu jest poprawne?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    },
+    "polish_psc_regex": {
+      "task": "polish_psc_regex",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Fragment 1: \"{{extract_text}}\"\nFragment 2: \"{{summary_text}}\"\nPytanie: jaka jest zależność między fragmentami 1 i 2?\nMożliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - dotyczą tego samego artykułu\nC - dotyczą różnych artykułów\nD - brak poprawnej odpowiedzi\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int + 1}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "f1",
+          "aggregation": "mean",
+          "higher_is_better": true,
+          "hf_evaluate": true,
+          "average": "micro"
+        },
+        {
+          "metric": "accuracy",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            },
+            {
+              "function": "map",
+              "mapping_dict": {
+                "A": 0,
+                "B": 1,
+                "C": 2,
+                "D": 3
+              },
+              "default_value": -1
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    }
+  },
+  "versions": {
+    "belebele_pol_Latn": 0.0,
+    "polemo2_in": 1.0,
+    "polemo2_in_multiple_choice": "Yaml",
+    "polemo2_out": 1.0,
+    "polemo2_out_multiple_choice": "Yaml",
+    "polish": "N/A",
+    "polish_8tags_multiple_choice": "Yaml",
+    "polish_8tags_regex": "Yaml",
+    "polish_belebele_regex": "Yaml",
+    "polish_dyk_multiple_choice": "Yaml",
+    "polish_dyk_regex": "Yaml",
+    "polish_ppc_multiple_choice": "Yaml",
+    "polish_ppc_regex": "Yaml",
+    "polish_psc_multiple_choice": "Yaml",
+    "polish_psc_regex": "Yaml"
+  },
+  "n-shot": {
+    "belebele_pol_Latn": 0,
+    "polemo2_in": 0,
+    "polemo2_in_multiple_choice": 0,
+    "polemo2_out": 0,
+    "polemo2_out_multiple_choice": 0,
+    "polish": 0,
+    "polish_8tags_multiple_choice": 0,
+    "polish_8tags_regex": 0,
+    "polish_belebele_regex": 0,
+    "polish_dyk_multiple_choice": 0,
+    "polish_dyk_regex": 0,
+    "polish_ppc_multiple_choice": 0,
+    "polish_ppc_regex": 0,
+    "polish_psc_multiple_choice": 0,
+    "polish_psc_regex": 0
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=Azurro/APT3-1B-Base",
+    "batch_size": "auto",
+    "batch_sizes": [
+      64
+    ],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}

polish_benchmarks-out2/results_APT3-1B-Base-5_polish/results.json

@@ -0,0 +1,911 @@
+{
+  "results": {
+    "polish": {
+      "acc,none": 0.3072715967681741,
+      "acc_stderr,none": 0.01969090193138441,
+      "acc_norm,none": 0.2568383472880424,
+      "acc_norm_stderr,none": 0.025431041932479657,
+      "f1,score-first": 0.005671732362664017,
+      "f1_stderr,score-first": 0.0060835998620534645,
+      "accuracy,score-first": 0.005671732362664017,
+      "accuracy_stderr,score-first": 0.0060835998620534645,
+      "alias": "polish"
+    },
+    "belebele_pol_Latn": {
+      "acc,none": 0.25666666666666665,
+      "acc_stderr,none": 0.014567891342380032,
+      "acc_norm,none": 0.25666666666666665,
+      "acc_norm_stderr,none": 0.014567891342380032,
+      "alias": " - belebele_pol_Latn"
+    },
+    "polemo2_in": {
+      "f1,score-first": 0.0,
+      "f1_stderr,score-first": 0.0,
+      "accuracy,score-first": 0.0,
+      "accuracy_stderr,score-first": 0.0,
+      "alias": " - polemo2_in"
+    },
+    "polemo2_in_multiple_choice": {
+      "acc,none": 0.389196675900277,
+      "acc_stderr,none": 0.018157983819187574,
+      "acc_norm,none": 0.2673130193905817,
+      "acc_norm_stderr,none": 0.016481686935413936,
+      "alias": " - polemo2_in_multiple_choice"
+    },
+    "polemo2_out": {
+      "f1,score-first": 0.0,
+      "f1_stderr,score-first": 0.0,
+      "accuracy,score-first": 0.0,
+      "accuracy_stderr,score-first": 0.0,
+      "alias": " - polemo2_out"
+    },
+    "polemo2_out_multiple_choice": {
+      "acc,none": 0.37449392712550605,
+      "acc_stderr,none": 0.021797901981018206,
+      "acc_norm,none": 0.36639676113360325,
+      "acc_norm_stderr,none": 0.021700065645408245,
+      "alias": " - polemo2_out_multiple_choice"
+    },
+    "polish_8tags_multiple_choice": {
+      "acc,none": 0.20288197621225984,
+      "acc_stderr,none": 0.00608264743751534,
+      "acc_norm,none": 0.11939615736505033,
+      "acc_norm_stderr,none": 0.004904503623515018,
+      "alias": " - polish_8tags_multiple_choice"
+    },
+    "polish_8tags_regex": {
+      "f1,score-first": 0.01989935956084172,
+      "f1_stderr,score-first": 0.0021123432094103728,
+      "accuracy,score-first": 0.01989935956084172,
+      "accuracy_stderr,score-first": 0.0021123432094103728,
+      "alias": " - polish_8tags_regex"
+    },
+    "polish_belebele_regex": {
+      "f1,score-first": 0.0011111111111111111,
+      "f1_stderr,score-first": 0.0011111111111111124,
+      "accuracy,score-first": 0.0011111111111111111,
+      "accuracy_stderr,score-first": 0.0011111111111111124,
+      "alias": " - polish_belebele_regex"
+    },
+    "polish_dyk_multiple_choice": {
+      "acc,none": 0.7677356656948494,
+      "acc_stderr,none": 0.013170448486721168,
+      "acc_norm,none": 0.7677356656948494,
+      "acc_norm_stderr,none": 0.013170448486721168,
+      "alias": " - polish_dyk_multiple_choice"
+    },
+    "polish_dyk_regex": {
+      "f1,score-first": 0.0009718172983479105,
+      "f1_stderr,score-first": 0.0009718172983479058,
+      "accuracy,score-first": 0.0009718172983479105,
+      "accuracy_stderr,score-first": 0.0009718172983479058,
+      "alias": " - polish_dyk_regex"
+    },
+    "polish_ppc_multiple_choice": {
+      "acc,none": 0.329,
+      "acc_stderr,none": 0.014865395385928367,
+      "acc_norm,none": 0.329,
+      "acc_norm_stderr,none": 0.014865395385928367,
+      "alias": " - polish_ppc_multiple_choice"
+    },
+    "polish_ppc_regex": {
+      "f1,score-first": 0.0,
+      "f1_stderr,score-first": 0.0,
+      "accuracy,score-first": 0.0,
+      "accuracy_stderr,score-first": 0.0,
+      "alias": " - polish_ppc_regex"
+    },
+    "polish_psc_multiple_choice": {
+      "acc,none": 0.588126159554731,
+      "acc_stderr,none": 0.014997176459791973,
+      "acc_norm,none": 0.588126159554731,
+      "acc_norm_stderr,none": 0.014997176459791973,
+      "alias": " - polish_psc_multiple_choice"
+    },
+    "polish_psc_regex": {
+      "f1,score-first": 0.0,
+      "f1_stderr,score-first": 0.0,
+      "accuracy,score-first": 0.0,
+      "accuracy_stderr,score-first": 0.0,
+      "alias": " - polish_psc_regex"
+    }
+  },
+  "groups": {
+    "polish": {
+      "acc,none": 0.3072715967681741,
+      "acc_stderr,none": 0.01969090193138441,
+      "acc_norm,none": 0.2568383472880424,
+      "acc_norm_stderr,none": 0.025431041932479657,
+      "f1,score-first": 0.005671732362664017,
+      "f1_stderr,score-first": 0.0060835998620534645,
+      "accuracy,score-first": 0.005671732362664017,
+      "accuracy_stderr,score-first": 0.0060835998620534645,
+      "alias": "polish"
+    }
+  },
+  "configs": {
+    "belebele_pol_Latn": {
+      "task": "belebele_pol_Latn",
+      "group": "belebele",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "fewshot_split": "pol_Latn",
+      "doc_to_text": "P: {{flores_passage}}\nQ: {{question.strip()}}\nA: {{mc_answer1}}\nB: {{mc_answer2}}\nC: {{mc_answer3}}\nD: {{mc_answer4}}\nAnswer：",
+      "doc_to_target": "{{['1', '2', '3', '4'].index(correct_answer_num)}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C",
+        "D"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "fewshot_config": {
+        "sampler": "first_n"
+      },
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}}",
+      "metadata": {
+        "version": 0.0
+      }
+    },
+    "polemo2_in": {
+      "task": "polemo2_in",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "f1",
+          "aggregation": "mean",
+          "higher_is_better": true,
+          "hf_evaluate": true,
+          "average": "micro"
+        },
+        {
+          "metric": "accuracy",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            },
+            {
+              "function": "map",
+              "mapping_dict": {
+                "A": 0,
+                "B": 1,
+                "C": 2,
+                "D": 3
+              },
+              "default_value": -1
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_in_multiple_choice": {
+      "task": "polemo2_in_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polemo2_out": {
+      "task": "polemo2_out",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "f1",
+          "aggregation": "mean",
+          "higher_is_better": true,
+          "hf_evaluate": true,
+          "average": "micro"
+        },
+        {
+          "metric": "accuracy",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            },
+            {
+              "function": "map",
+              "mapping_dict": {
+                "A": 0,
+                "B": 1,
+                "C": 2,
+                "D": 3
+              },
+              "default_value": -1
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_out_multiple_choice": {
+      "task": "polemo2_out_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_multiple_choice": {
+      "task": "polish_8tags_multiple_choice",
+      "dataset_path": "djstrong/8tags",
+      "training_split": "train",
+      "test_split": "test",
+      "fewshot_split": "train",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nDo podanego tytułu przyporządkuj jedną najlepiej pasującą kategorię z podanych: Film, Historia, Jedzenie, Medycyna, Motoryzacja, Praca, Sport, Technologie.\nKategoria:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Film",
+        "Historia",
+        "Jedzenie",
+        "Medycyna",
+        "Motoryzacja",
+        "Praca",
+        "Sport",
+        "Technologie"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_regex": {
+      "task": "polish_8tags_regex",
+      "dataset_path": "djstrong/8tags",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nPytanie: jaka kategoria najlepiej pasuje do podanego tytułu?\nMożliwe odpowiedzi:\nA - film\nB - historia\nC - jedzenie\nD - medycyna\nE - motoryzacja\nF - praca\nG - sport\nH - technologie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "f1",
+          "aggregation": "mean",
+          "higher_is_better": true,
+          "hf_evaluate": true,
+          "average": "micro"
+        },
+        {
+          "metric": "accuracy",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCDEFGH]\\b)"
+            },
+            {
+              "function": "take_first"
+            },
+            {
+              "function": "map",
+              "mapping_dict": {
+                "A": 0,
+                "B": 1,
+                "C": 2,
+                "D": 3,
+                "E": 4,
+                "F": 5,
+                "G": 6,
+                "H": 7
+              },
+              "default_value": -1
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_belebele_regex": {
+      "task": "polish_belebele_regex",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "doc_to_text": "Fragment: \"{{flores_passage}}\"\nPytanie: \"{{question}}\"\nMożliwe odpowiedzi:\nA - {{mc_answer1}}\nB - {{mc_answer2}}\nC - {{mc_answer3}}\nD - {{mc_answer4}}\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{correct_answer_num|int - 1}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "f1",
+          "aggregation": "mean",
+          "higher_is_better": true,
+          "hf_evaluate": true,
+          "average": "micro"
+        },
+        {
+          "metric": "accuracy",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            },
+            {
+              "function": "map",
+              "mapping_dict": {
+                "A": 0,
+                "B": 1,
+                "C": 2,
+                "D": 3
+              },
+              "default_value": -1
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{flores_passage}} {{question}} {{mc_answer1}} {{mc_answer2}} {{mc_answer3}} {{mc_answer4}}"
+    },
+    "polish_dyk_multiple_choice": {
+      "task": "polish_dyk_multiple_choice",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nPytanie: Czy sugerowana odpowiedź na zadane pytanie jest poprawna?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{target|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_dyk_regex": {
+      "task": "polish_dyk_regex",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nCzy sugerowana odpowiedź na zadane pytanie jest poprawna? Możliwe opcje:\nA - brakuje sugerowanej odpowiedzi\nB - nie, sugerowana odpowiedź nie jest poprawna\nC - tak, sugerowana odpowiedź jest poprawna\nD - brakuje pytania\nPrawidłowa opcja:",
+      "doc_to_target": "{{target|int+1}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "f1",
+          "aggregation": "mean",
+          "higher_is_better": true,
+          "hf_evaluate": true,
+          "average": "micro"
+        },
+        {
+          "metric": "accuracy",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            },
+            {
+              "function": "map",
+              "mapping_dict": {
+                "A": 0,
+                "B": 1,
+                "C": 2,
+                "D": 3
+              },
+              "default_value": -1
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_ppc_multiple_choice": {
+      "task": "polish_ppc_multiple_choice",
+      "dataset_path": "djstrong/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - znaczą dokładnie to samo\nB - mają podobne znaczenie\nC - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int - 1}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_ppc_regex": {
+      "task": "polish_ppc_regex",
+      "dataset_path": "djstrong/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - znaczą dokładnie to samo\nC - mają podobne znaczenie\nD - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "f1",
+          "aggregation": "mean",
+          "higher_is_better": true,
+          "hf_evaluate": true,
+          "average": "micro"
+        },
+        {
+          "metric": "accuracy",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            },
+            {
+              "function": "map",
+              "mapping_dict": {
+                "A": 0,
+                "B": 1,
+                "C": 2,
+                "D": 3
+              },
+              "default_value": -1
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_psc_multiple_choice": {
+      "task": "polish_psc_multiple_choice",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Tekst: \"{{extract_text}}\"\nPodsumowanie: \"{{summary_text}}\"\nPytanie: Czy podsumowanie dla podanego tekstu jest poprawne?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    },
+    "polish_psc_regex": {
+      "task": "polish_psc_regex",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Fragment 1: \"{{extract_text}}\"\nFragment 2: \"{{summary_text}}\"\nPytanie: jaka jest zależność między fragmentami 1 i 2?\nMożliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - dotyczą tego samego artykułu\nC - dotyczą różnych artykułów\nD - brak poprawnej odpowiedzi\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int + 1}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 5,
+      "metric_list": [
+        {
+          "metric": "f1",
+          "aggregation": "mean",
+          "higher_is_better": true,
+          "hf_evaluate": true,
+          "average": "micro"
+        },
+        {
+          "metric": "accuracy",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            },
+            {
+              "function": "map",
+              "mapping_dict": {
+                "A": 0,
+                "B": 1,
+                "C": 2,
+                "D": 3
+              },
+              "default_value": -1
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    }
+  },
+  "versions": {
+    "belebele_pol_Latn": 0.0,
+    "polemo2_in": 1.0,
+    "polemo2_in_multiple_choice": "Yaml",
+    "polemo2_out": 1.0,
+    "polemo2_out_multiple_choice": "Yaml",
+    "polish": "N/A",
+    "polish_8tags_multiple_choice": "Yaml",
+    "polish_8tags_regex": "Yaml",
+    "polish_belebele_regex": "Yaml",
+    "polish_dyk_multiple_choice": "Yaml",
+    "polish_dyk_regex": "Yaml",
+    "polish_ppc_multiple_choice": "Yaml",
+    "polish_ppc_regex": "Yaml",
+    "polish_psc_multiple_choice": "Yaml",
+    "polish_psc_regex": "Yaml"
+  },
+  "n-shot": {
+    "belebele_pol_Latn": 5,
+    "polemo2_in": 5,
+    "polemo2_in_multiple_choice": 5,
+    "polemo2_out": 5,
+    "polemo2_out_multiple_choice": 5,
+    "polish": 5,
+    "polish_8tags_multiple_choice": 5,
+    "polish_8tags_regex": 5,
+    "polish_belebele_regex": 5,
+    "polish_dyk_multiple_choice": 5,
+    "polish_dyk_regex": 5,
+    "polish_ppc_multiple_choice": 5,
+    "polish_ppc_regex": 5,
+    "polish_psc_multiple_choice": 5,
+    "polish_psc_regex": 5
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=Azurro/APT3-1B-Base",
+    "batch_size": "auto",
+    "batch_sizes": [
+      16
+    ],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}

polish_benchmarks-out2/results_trurl-2-7b-0_polish/results.json

@@ -0,0 +1,911 @@
+{
+  "results": {
+    "polish": {
+      "acc,none": 0.38655822884426444,
+      "acc_stderr,none": 0.009810522827733922,
+      "acc_norm,none": 0.3877248155817996,
+      "acc_norm_stderr,none": 0.009903004691484696,
+      "f1,score-first": 0.5390263032489272,
+      "f1_stderr,score-first": 0.09713328442043558,
+      "accuracy,score-first": 0.5390263032489272,
+      "accuracy_stderr,score-first": 0.09713328442043558,
+      "alias": "polish"
+    },
+    "belebele_pol_Latn": {
+      "acc,none": 0.39555555555555555,
+      "acc_stderr,none": 0.016308052223501762,
+      "acc_norm,none": 0.39555555555555555,
+      "acc_norm_stderr,none": 0.016308052223501762,
+      "alias": " - belebele_pol_Latn"
+    },
+    "polemo2_in": {
+      "f1,score-first": 0.4695290858725762,
+      "f1_stderr,score-first": 0.018586362627404755,
+      "accuracy,score-first": 0.4695290858725762,
+      "accuracy_stderr,score-first": 0.018586362627404755,
+      "alias": " - polemo2_in"
+    },
+    "polemo2_in_multiple_choice": {
+      "acc,none": 0.16204986149584488,
+      "acc_stderr,none": 0.013723528490778158,
+      "acc_norm,none": 0.16204986149584488,
+      "acc_norm_stderr,none": 0.013723528490778158,
+      "alias": " - polemo2_in_multiple_choice"
+    },
+    "polemo2_out": {
+      "f1,score-first": 0.4473684210526316,
+      "f1_stderr,score-first": 0.02239376166833581,
+      "accuracy,score-first": 0.4473684210526316,
+      "accuracy_stderr,score-first": 0.02239376166833581,
+      "alias": " - polemo2_out"
+    },
+    "polemo2_out_multiple_choice": {
+      "acc,none": 0.0020242914979757085,
+      "acc_stderr,none": 0.0020242914979757094,
+      "acc_norm,none": 0.0020242914979757085,
+      "acc_norm_stderr,none": 0.0020242914979757094,
+      "alias": " - polemo2_out_multiple_choice"
+    },
+    "polish_8tags_multiple_choice": {
+      "acc,none": 0.5121225983531564,
+      "acc_stderr,none": 0.0075605243767434,
+      "acc_norm,none": 0.5146386093321135,
+      "acc_norm_stderr,none": 0.007559505586488673,
+      "alias": " - polish_8tags_multiple_choice"
+    },
+    "polish_8tags_regex": {
+      "f1,score-first": 0.6697163769441903,
+      "f1_stderr,score-first": 0.007113749634252443,
+      "accuracy,score-first": 0.6697163769441903,
+      "accuracy_stderr,score-first": 0.007113749634252443,
+      "alias": " - polish_8tags_regex"
+    },
+    "polish_belebele_regex": {
+      "f1,score-first": 0.44333333333333336,
+      "f1_stderr,score-first": 0.0165684909720556,
+      "accuracy,score-first": 0.44333333333333336,
+      "accuracy_stderr,score-first": 0.0165684909720556,
+      "alias": " - polish_belebele_regex"
+    },
+    "polish_dyk_multiple_choice": {
+      "acc,none": 0.2118561710398445,
+      "acc_stderr,none": 0.012744615626342343,
+      "acc_norm,none": 0.2118561710398445,
+      "acc_norm_stderr,none": 0.012744615626342343,
+      "alias": " - polish_dyk_multiple_choice"
+    },
+    "polish_dyk_regex": {
+      "f1,score-first": 0.8289601554907677,
+      "f1_stderr,score-first": 0.011744077740056324,
+      "accuracy,score-first": 0.8289601554907677,
+      "accuracy_stderr,score-first": 0.011744077740056324,
+      "alias": " - polish_dyk_regex"
+    },
+    "polish_ppc_multiple_choice": {
+      "acc,none": 0.334,
+      "acc_stderr,none": 0.014922019523732963,
+      "acc_norm,none": 0.334,
+      "acc_norm_stderr,none": 0.014922019523732963,
+      "alias": " - polish_ppc_multiple_choice"
+    },
+    "polish_ppc_regex": {
+      "f1,score-first": 0.421,
+      "f1_stderr,score-first": 0.015620595475301318,
+      "accuracy,score-first": 0.421,
+      "accuracy_stderr,score-first": 0.015620595475301318,
+      "alias": " - polish_ppc_regex"
+    },
+    "polish_psc_multiple_choice": {
+      "acc,none": 0.3070500927643785,
+      "acc_stderr,none": 0.014055544850266423,
+      "acc_norm,none": 0.3070500927643785,
+      "acc_norm_stderr,none": 0.014055544850266423,
+      "alias": " - polish_psc_multiple_choice"
+    },
+    "polish_psc_regex": {
+      "f1,score-first": 0.4322820037105751,
+      "f1_stderr,score-first": 0.0150953107201147,
+      "accuracy,score-first": 0.4322820037105751,
+      "accuracy_stderr,score-first": 0.0150953107201147,
+      "alias": " - polish_psc_regex"
+    }
+  },
+  "groups": {
+    "polish": {
+      "acc,none": 0.38655822884426444,
+      "acc_stderr,none": 0.009810522827733922,
+      "acc_norm,none": 0.3877248155817996,
+      "acc_norm_stderr,none": 0.009903004691484696,
+      "f1,score-first": 0.5390263032489272,
+      "f1_stderr,score-first": 0.09713328442043558,
+      "accuracy,score-first": 0.5390263032489272,
+      "accuracy_stderr,score-first": 0.09713328442043558,
+      "alias": "polish"
+    }
+  },
+  "configs": {
+    "belebele_pol_Latn": {
+      "task": "belebele_pol_Latn",
+      "group": "belebele",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "fewshot_split": "pol_Latn",
+      "doc_to_text": "P: {{flores_passage}}\nQ: {{question.strip()}}\nA: {{mc_answer1}}\nB: {{mc_answer2}}\nC: {{mc_answer3}}\nD: {{mc_answer4}}\nAnswer：",
+      "doc_to_target": "{{['1', '2', '3', '4'].index(correct_answer_num)}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C",
+        "D"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "fewshot_config": {
+        "sampler": "first_n"
+      },
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}}",
+      "metadata": {
+        "version": 0.0
+      }
+    },
+    "polemo2_in": {
+      "task": "polemo2_in",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "f1",
+          "aggregation": "mean",
+          "higher_is_better": true,
+          "hf_evaluate": true,
+          "average": "micro"
+        },
+        {
+          "metric": "accuracy",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            },
+            {
+              "function": "map",
+              "mapping_dict": {
+                "A": 0,
+                "B": 1,
+                "C": 2,
+                "D": 3
+              },
+              "default_value": -1
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_in_multiple_choice": {
+      "task": "polemo2_in_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polemo2_out": {
+      "task": "polemo2_out",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "f1",
+          "aggregation": "mean",
+          "higher_is_better": true,
+          "hf_evaluate": true,
+          "average": "micro"
+        },
+        {
+          "metric": "accuracy",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            },
+            {
+              "function": "map",
+              "mapping_dict": {
+                "A": 0,
+                "B": 1,
+                "C": 2,
+                "D": 3
+              },
+              "default_value": -1
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_out_multiple_choice": {
+      "task": "polemo2_out_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_multiple_choice": {
+      "task": "polish_8tags_multiple_choice",
+      "dataset_path": "djstrong/8tags",
+      "training_split": "train",
+      "test_split": "test",
+      "fewshot_split": "train",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nDo podanego tytułu przyporządkuj jedną najlepiej pasującą kategorię z podanych: Film, Historia, Jedzenie, Medycyna, Motoryzacja, Praca, Sport, Technologie.\nKategoria:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Film",
+        "Historia",
+        "Jedzenie",
+        "Medycyna",
+        "Motoryzacja",
+        "Praca",
+        "Sport",
+        "Technologie"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_regex": {
+      "task": "polish_8tags_regex",
+      "dataset_path": "djstrong/8tags",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nPytanie: jaka kategoria najlepiej pasuje do podanego tytułu?\nMożliwe odpowiedzi:\nA - film\nB - historia\nC - jedzenie\nD - medycyna\nE - motoryzacja\nF - praca\nG - sport\nH - technologie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "f1",
+          "aggregation": "mean",
+          "higher_is_better": true,
+          "hf_evaluate": true,
+          "average": "micro"
+        },
+        {
+          "metric": "accuracy",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCDEFGH]\\b)"
+            },
+            {
+              "function": "take_first"
+            },
+            {
+              "function": "map",
+              "mapping_dict": {
+                "A": 0,
+                "B": 1,
+                "C": 2,
+                "D": 3,
+                "E": 4,
+                "F": 5,
+                "G": 6,
+                "H": 7
+              },
+              "default_value": -1
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_belebele_regex": {
+      "task": "polish_belebele_regex",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "doc_to_text": "Fragment: \"{{flores_passage}}\"\nPytanie: \"{{question}}\"\nMożliwe odpowiedzi:\nA - {{mc_answer1}}\nB - {{mc_answer2}}\nC - {{mc_answer3}}\nD - {{mc_answer4}}\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{correct_answer_num|int - 1}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "f1",
+          "aggregation": "mean",
+          "higher_is_better": true,
+          "hf_evaluate": true,
+          "average": "micro"
+        },
+        {
+          "metric": "accuracy",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            },
+            {
+              "function": "map",
+              "mapping_dict": {
+                "A": 0,
+                "B": 1,
+                "C": 2,
+                "D": 3
+              },
+              "default_value": -1
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{flores_passage}} {{question}} {{mc_answer1}} {{mc_answer2}} {{mc_answer3}} {{mc_answer4}}"
+    },
+    "polish_dyk_multiple_choice": {
+      "task": "polish_dyk_multiple_choice",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nPytanie: Czy sugerowana odpowiedź na zadane pytanie jest poprawna?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{target|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_dyk_regex": {
+      "task": "polish_dyk_regex",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nCzy sugerowana odpowiedź na zadane pytanie jest poprawna? Możliwe opcje:\nA - brakuje sugerowanej odpowiedzi\nB - nie, sugerowana odpowiedź nie jest poprawna\nC - tak, sugerowana odpowiedź jest poprawna\nD - brakuje pytania\nPrawidłowa opcja:",
+      "doc_to_target": "{{target|int+1}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "f1",
+          "aggregation": "mean",
+          "higher_is_better": true,
+          "hf_evaluate": true,
+          "average": "micro"
+        },
+        {
+          "metric": "accuracy",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            },
+            {
+              "function": "map",
+              "mapping_dict": {
+                "A": 0,
+                "B": 1,
+                "C": 2,
+                "D": 3
+              },
+              "default_value": -1
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_ppc_multiple_choice": {
+      "task": "polish_ppc_multiple_choice",
+      "dataset_path": "djstrong/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - znaczą dokładnie to samo\nB - mają podobne znaczenie\nC - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int - 1}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_ppc_regex": {
+      "task": "polish_ppc_regex",
+      "dataset_path": "djstrong/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - znaczą dokładnie to samo\nC - mają podobne znaczenie\nD - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "f1",
+          "aggregation": "mean",
+          "higher_is_better": true,
+          "hf_evaluate": true,
+          "average": "micro"
+        },
+        {
+          "metric": "accuracy",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            },
+            {
+              "function": "map",
+              "mapping_dict": {
+                "A": 0,
+                "B": 1,
+                "C": 2,
+                "D": 3
+              },
+              "default_value": -1
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_psc_multiple_choice": {
+      "task": "polish_psc_multiple_choice",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Tekst: \"{{extract_text}}\"\nPodsumowanie: \"{{summary_text}}\"\nPytanie: Czy podsumowanie dla podanego tekstu jest poprawne?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    },
+    "polish_psc_regex": {
+      "task": "polish_psc_regex",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Fragment 1: \"{{extract_text}}\"\nFragment 2: \"{{summary_text}}\"\nPytanie: jaka jest zależność między fragmentami 1 i 2?\nMożliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - dotyczą tego samego artykułu\nC - dotyczą różnych artykułów\nD - brak poprawnej odpowiedzi\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int + 1}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "f1",
+          "aggregation": "mean",
+          "higher_is_better": true,
+          "hf_evaluate": true,
+          "average": "micro"
+        },
+        {
+          "metric": "accuracy",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            },
+            {
+              "function": "map",
+              "mapping_dict": {
+                "A": 0,
+                "B": 1,
+                "C": 2,
+                "D": 3
+              },
+              "default_value": -1
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    }
+  },
+  "versions": {
+    "belebele_pol_Latn": 0.0,
+    "polemo2_in": 1.0,
+    "polemo2_in_multiple_choice": "Yaml",
+    "polemo2_out": 1.0,
+    "polemo2_out_multiple_choice": "Yaml",
+    "polish": "N/A",
+    "polish_8tags_multiple_choice": "Yaml",
+    "polish_8tags_regex": "Yaml",
+    "polish_belebele_regex": "Yaml",
+    "polish_dyk_multiple_choice": "Yaml",
+    "polish_dyk_regex": "Yaml",
+    "polish_ppc_multiple_choice": "Yaml",
+    "polish_ppc_regex": "Yaml",
+    "polish_psc_multiple_choice": "Yaml",
+    "polish_psc_regex": "Yaml"
+  },
+  "n-shot": {
+    "belebele_pol_Latn": 0,
+    "polemo2_in": 0,
+    "polemo2_in_multiple_choice": 0,
+    "polemo2_out": 0,
+    "polemo2_out_multiple_choice": 0,
+    "polish": 0,
+    "polish_8tags_multiple_choice": 0,
+    "polish_8tags_regex": 0,
+    "polish_belebele_regex": 0,
+    "polish_dyk_multiple_choice": 0,
+    "polish_dyk_regex": 0,
+    "polish_ppc_multiple_choice": 0,
+    "polish_ppc_regex": 0,
+    "polish_psc_multiple_choice": 0,
+    "polish_psc_regex": 0
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=Voicelab/trurl-2-7b",
+    "batch_size": "auto",
+    "batch_sizes": [
+      32
+    ],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}

polish_benchmarks-out21/results_mt5-xl-0_polish_generate/results.json

@@ -0,0 +1,422 @@
+{
+  "results": {
+    "polish_generate": {
+      "exact_match,score-first": 0.030536737884314748,
+      "exact_match_stderr,score-first": 0.01076945600934832,
+      "alias": "polish_generate"
+    },
+    "polemo2_in": {
+      "exact_match,score-first": 0.036011080332409975,
+      "exact_match_stderr,score-first": 0.006938833457029125,
+      "alias": " - polemo2_in"
+    },
+    "polemo2_out": {
+      "exact_match,score-first": 0.008097165991902834,
+      "exact_match_stderr,score-first": 0.004036245995213747,
+      "alias": " - polemo2_out"
+    },
+    "polish_8tags_regex": {
+      "exact_match,score-first": 0.042543458371454713,
+      "exact_match_stderr,score-first": 0.0030527098470848964,
+      "alias": " - polish_8tags_regex"
+    },
+    "polish_belebele_regex": {
+      "exact_match,score-first": 0.023333333333333334,
+      "exact_match_stderr,score-first": 0.005034794273880348,
+      "alias": " - polish_belebele_regex"
+    },
+    "polish_dyk_regex": {
+      "exact_match,score-first": 0.014577259475218658,
+      "exact_match_stderr,score-first": 0.0037381151461304968,
+      "alias": " - polish_dyk_regex"
+    },
+    "polish_ppc_regex": {
+      "exact_match,score-first": 0.03,
+      "exact_match_stderr,score-first": 0.0053971408290992015,
+      "alias": " - polish_ppc_regex"
+    },
+    "polish_psc_regex": {
+      "exact_match,score-first": 0.01020408163265306,
+      "exact_match_stderr,score-first": 0.0030623296535250712,
+      "alias": " - polish_psc_regex"
+    }
+  },
+  "groups": {
+    "polish_generate": {
+      "exact_match,score-first": 0.030536737884314748,
+      "exact_match_stderr,score-first": 0.01076945600934832,
+      "alias": "polish_generate"
+    }
+  },
+  "configs": {
+    "polemo2_in": {
+      "task": "polemo2_in",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polemo2_out": {
+      "task": "polemo2_out",
+      "group": [
+        "polemo2"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{'__label__meta_zero': 'A', '__label__meta_minus_m': 'B', '__label__meta_plus_m': 'C', '__label__meta_amb': 'D'}.get(target)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}",
+      "metadata": {
+        "version": 1.0
+      }
+    },
+    "polish_8tags_regex": {
+      "task": "polish_8tags_regex",
+      "dataset_path": "sdadas/8tags",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nPytanie: jaka kategoria najlepiej pasuje do podanego tytułu?\nMożliwe odpowiedzi:\nA - film\nB - historia\nC - jedzenie\nD - medycyna\nE - motoryzacja\nF - praca\nG - sport\nH - technologie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D', 4: 'E', 5: 'F', 6: 'G', 7: 'H'}.get(label)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCDEFGH]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_belebele_regex": {
+      "task": "polish_belebele_regex",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "doc_to_text": "Fragment: \"{{flores_passage}}\"\nPytanie: \"{{question}}\"\nMożliwe odpowiedzi:\nA - {{mc_answer1}}\nB - {{mc_answer2}}\nC - {{mc_answer3}}\nD - {{mc_answer4}}\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(correct_answer_num|int - 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{flores_passage}} {{question}} {{mc_answer1}} {{mc_answer2}} {{mc_answer3}} {{mc_answer4}}"
+    },
+    "polish_dyk_regex": {
+      "task": "polish_dyk_regex",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nCzy sugerowana odpowiedź na zadane pytanie jest poprawna? Możliwe opcje:\nA - brakuje sugerowanej odpowiedzi\nB - nie, sugerowana odpowiedź nie jest poprawna\nC - tak, sugerowana odpowiedź jest poprawna\nD - brakuje pytania\nPrawidłowa opcja:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(target|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_ppc_regex": {
+      "task": "polish_ppc_regex",
+      "dataset_path": "sdadas/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - znaczą dokładnie to samo\nC - mają podobne znaczenie\nD - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_psc_regex": {
+      "task": "polish_psc_regex",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Fragment 1: \"{{extract_text}}\"\nFragment 2: \"{{summary_text}}\"\nPytanie: jaka jest zależność między fragmentami 1 i 2?\nMożliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - dotyczą tego samego artykułu\nC - dotyczą różnych artykułów\nD - brak poprawnej odpowiedzi\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{{0: 'A', 1: 'B', 2: 'C', 3: 'D'}.get(label|int + 1)}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "exact_match",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          ".",
+          ","
+        ],
+        "do_sample": false,
+        "temperature": 0.0,
+        "max_gen_toks": 50
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "score-first",
+          "filter": [
+            {
+              "function": "regex",
+              "regex_pattern": "(\\b[ABCD]\\b)"
+            },
+            {
+              "function": "take_first"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    }
+  },
+  "versions": {
+    "polemo2_in": 1.0,
+    "polemo2_out": 1.0,
+    "polish_8tags_regex": "Yaml",
+    "polish_belebele_regex": "Yaml",
+    "polish_dyk_regex": "Yaml",
+    "polish_generate": "N/A",
+    "polish_ppc_regex": "Yaml",
+    "polish_psc_regex": "Yaml"
+  },
+  "n-shot": {
+    "polemo2_in": 0,
+    "polemo2_out": 0,
+    "polish_8tags_regex": 0,
+    "polish_belebele_regex": 0,
+    "polish_dyk_regex": 0,
+    "polish_generate": 0,
+    "polish_ppc_regex": 0,
+    "polish_psc_regex": 0
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=google/mt5-xl",
+    "batch_size": "4",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}

polish_benchmarks-out21/results_mt5-xl-0_polish_mc/results.json

@@ -0,0 +1,357 @@
+{
+  "results": {
+    "polish_mc": {
+      "acc,none": 0.2997394476289734,
+      "acc_stderr,none": 0.2267205746448775,
+      "acc_norm,none": 0.30484627410109433,
+      "acc_norm_stderr,none": 0.22457641813702411,
+      "alias": "polish_mc"
+    },
+    "belebele_pol_Latn": {
+      "acc,none": 0.21888888888888888,
+      "acc_stderr,none": 0.013790766978256945,
+      "acc_norm,none": 0.21888888888888888,
+      "acc_norm_stderr,none": 0.013790766978256945,
+      "alias": " - belebele_pol_Latn"
+    },
+    "polemo2_in_multiple_choice": {
+      "acc,none": 0.14265927977839335,
+      "acc_stderr,none": 0.013024441425272966,
+      "acc_norm,none": 0.15096952908587258,
+      "acc_norm_stderr,none": 0.0133333308677827,
+      "alias": " - polemo2_in_multiple_choice"
+    },
+    "polemo2_out_multiple_choice": {
+      "acc,none": 0.06275303643724696,
+      "acc_stderr,none": 0.010922471844180805,
+      "acc_norm,none": 0.32793522267206476,
+      "acc_norm_stderr,none": 0.021143463996780142,
+      "alias": " - polemo2_out_multiple_choice"
+    },
+    "polish_8tags_multiple_choice": {
+      "acc,none": 0.1253430924062214,
+      "acc_stderr,none": 0.005008165412043464,
+      "acc_norm,none": 0.10521500457456541,
+      "acc_norm_stderr,none": 0.004640959541395227,
+      "alias": " - polish_8tags_multiple_choice"
+    },
+    "polish_dyk_multiple_choice": {
+      "acc,none": 0.8309037900874635,
+      "acc_stderr,none": 0.011690840877120627,
+      "acc_norm,none": 0.8309037900874635,
+      "acc_norm_stderr,none": 0.011690840877120627,
+      "alias": " - polish_dyk_multiple_choice"
+    },
+    "polish_ppc_multiple_choice": {
+      "acc,none": 0.392,
+      "acc_stderr,none": 0.015445859463771302,
+      "acc_norm,none": 0.392,
+      "acc_norm_stderr,none": 0.015445859463771302,
+      "alias": " - polish_ppc_multiple_choice"
+    },
+    "polish_psc_multiple_choice": {
+      "acc,none": 0.6957328385899815,
+      "acc_stderr,none": 0.014019771683156095,
+      "acc_norm,none": 0.6957328385899815,
+      "acc_norm_stderr,none": 0.014019771683156095,
+      "alias": " - polish_psc_multiple_choice"
+    }
+  },
+  "groups": {
+    "polish_mc": {
+      "acc,none": 0.2997394476289734,
+      "acc_stderr,none": 0.2267205746448775,
+      "acc_norm,none": 0.30484627410109433,
+      "acc_norm_stderr,none": 0.22457641813702411,
+      "alias": "polish_mc"
+    }
+  },
+  "configs": {
+    "belebele_pol_Latn": {
+      "task": "belebele_pol_Latn",
+      "group": "belebele",
+      "dataset_path": "facebook/belebele",
+      "test_split": "pol_Latn",
+      "fewshot_split": "pol_Latn",
+      "doc_to_text": "P: {{flores_passage}}\nQ: {{question.strip()}}\nA: {{mc_answer1}}\nB: {{mc_answer2}}\nC: {{mc_answer3}}\nD: {{mc_answer4}}\nAnswer：",
+      "doc_to_target": "{{['1', '2', '3', '4'].index(correct_answer_num)}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C",
+        "D"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "fewshot_config": {
+        "sampler": "first_n"
+      },
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}}",
+      "metadata": {
+        "version": 0.0
+      }
+    },
+    "polemo2_in_multiple_choice": {
+      "task": "polemo2_in_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-in",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polemo2_out_multiple_choice": {
+      "task": "polemo2_out_multiple_choice",
+      "group": [
+        "polemo2_mc"
+      ],
+      "dataset_path": "allegro/klej-polemo2-out",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:",
+      "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}",
+      "doc_to_choice": [
+        "Neutralny",
+        "Negatywny",
+        "Pozytywny",
+        "Niejednoznaczny"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_8tags_multiple_choice": {
+      "task": "polish_8tags_multiple_choice",
+      "dataset_path": "sdadas/8tags",
+      "training_split": "train",
+      "test_split": "test",
+      "fewshot_split": "train",
+      "doc_to_text": "Tytuł: \"{{sentence}}\"\nDo podanego tytułu przyporządkuj jedną najlepiej pasującą kategorię z podanych: Film, Historia, Jedzenie, Medycyna, Motoryzacja, Praca, Sport, Technologie.\nKategoria:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Film",
+        "Historia",
+        "Jedzenie",
+        "Medycyna",
+        "Motoryzacja",
+        "Praca",
+        "Sport",
+        "Technologie"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence}}"
+    },
+    "polish_dyk_multiple_choice": {
+      "task": "polish_dyk_multiple_choice",
+      "dataset_path": "allegro/klej-dyk",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nPytanie: Czy sugerowana odpowiedź na zadane pytanie jest poprawna?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{target|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{question}} {{answer}}"
+    },
+    "polish_ppc_multiple_choice": {
+      "task": "polish_ppc_multiple_choice",
+      "dataset_path": "sdadas/ppc",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - znaczą dokładnie to samo\nB - mają podobne znaczenie\nC - mają różne znaczenie\nPrawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int - 1}}",
+      "doc_to_choice": [
+        "A",
+        "B",
+        "C"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}"
+    },
+    "polish_psc_multiple_choice": {
+      "task": "polish_psc_multiple_choice",
+      "dataset_path": "allegro/klej-psc",
+      "training_split": "train",
+      "test_split": "test",
+      "doc_to_text": "Tekst: \"{{extract_text}}\"\nPodsumowanie: \"{{summary_text}}\"\nPytanie: Czy podsumowanie dla podanego tekstu jest poprawne?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:",
+      "doc_to_target": "{{label|int}}",
+      "doc_to_choice": [
+        "Nie",
+        "Tak"
+      ],
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}"
+    }
+  },
+  "versions": {
+    "belebele_pol_Latn": 0.0,
+    "polemo2_in_multiple_choice": "Yaml",
+    "polemo2_out_multiple_choice": "Yaml",
+    "polish_8tags_multiple_choice": "Yaml",
+    "polish_dyk_multiple_choice": "Yaml",
+    "polish_mc": "N/A",
+    "polish_ppc_multiple_choice": "Yaml",
+    "polish_psc_multiple_choice": "Yaml"
+  },
+  "n-shot": {
+    "belebele_pol_Latn": 0,
+    "polemo2_in_multiple_choice": 0,
+    "polemo2_out_multiple_choice": 0,
+    "polish_8tags_multiple_choice": 0,
+    "polish_dyk_multiple_choice": 0,
+    "polish_mc": 0,
+    "polish_ppc_multiple_choice": 0,
+    "polish_psc_multiple_choice": 0
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=google/mt5-xl",
+    "batch_size": "4",
+    "batch_sizes": [],
+    "device": "cuda:0",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null
+  },
+  "git_hash": null
+}