Meltdown_GGUF / eval_standard.json
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{
"results": {
"gsm8k": {
"name": "gsm8k",
"alias": "gsm8k",
"sample_len": 20,
"exact_match,strict-match": 0.65,
"exact_match_stderr,strict-match": 0.1094243309804831,
"exact_match,flexible-extract": 0.65,
"exact_match_stderr,flexible-extract": 0.1094243309804831
},
"mmlu_high_school_mathematics_generative": {
"name": "mmlu_high_school_mathematics_generative",
"alias": "high_school_mathematics",
"sample_len": 20,
"exact_match,get_response": 0.0,
"exact_match_stderr,get_response": 0.0
},
"mmlu_high_school_computer_science_generative": {
"name": "mmlu_high_school_computer_science_generative",
"alias": "high_school_computer_science",
"sample_len": 20,
"exact_match,get_response": 0.0,
"exact_match_stderr,get_response": 0.0
},
"ifeval": {
"name": "ifeval",
"alias": "ifeval",
"sample_len": 20,
"prompt_level_strict_acc,none": 0.5,
"prompt_level_strict_acc_stderr,none": 0.11470786693528086,
"inst_level_strict_acc,none": 0.6,
"inst_level_strict_acc_stderr,none": "N/A",
"prompt_level_loose_acc,none": 0.5,
"prompt_level_loose_acc_stderr,none": 0.11470786693528086,
"inst_level_loose_acc,none": 0.6,
"inst_level_loose_acc_stderr,none": "N/A"
}
},
"configs": {
"gsm8k": {
"task": "gsm8k",
"dataset_path": "openai/gsm8k",
"dataset_name": "main",
"training_split": "train",
"test_split": "test",
"fewshot_split": "train",
"doc_to_text": "Question: {{question}}\nAnswer:",
"doc_to_target": "{{answer}}",
"unsafe_code": false,
"description": "",
"target_delimiter": " ",
"fewshot_delimiter": "\n\n",
"fewshot_config": {
"sampler": "default",
"split": "train",
"process_docs": null,
"fewshot_indices": null,
"samples": null,
"doc_to_text": "Question: {{question}}\nAnswer:",
"doc_to_choice": null,
"doc_to_target": "{{answer}}",
"gen_prefix": null,
"fewshot_delimiter": "\n\n",
"target_delimiter": " "
},
"num_fewshot": 5,
"metric_list": [
{
"metric": "exact_match",
"aggregation": "mean",
"higher_is_better": true,
"ignore_case": true,
"ignore_punctuation": false,
"regexes_to_ignore": [
",",
"\\$",
"(?s).*#### ",
"\\.$"
]
}
],
"output_type": "generate_until",
"generation_kwargs": {
"until": [
"Question:",
"</s>",
"<|im_end|>"
],
"do_sample": false,
"temperature": 0.0
},
"repeats": 1,
"filter_list": [
{
"name": "strict-match",
"filter": [
{
"function": "regex",
"regex_pattern": "#### (\\-?[0-9\\.\\,]+)"
},
{
"function": "take_first"
}
]
},
{
"name": "flexible-extract",
"filter": [
{
"function": "regex",
"group_select": -1,
"regex_pattern": "(-?[$0-9.,]{2,})|(-?[0-9]+)"
},
{
"function": "take_first"
}
]
}
],
"should_decontaminate": false,
"metadata": {
"version": 3.0,
"base_url": "http://127.0.0.1:8080/v1/chat/completions",
"model": "meltdown",
"config_source": "C:\\Users\\jassi\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\lm_eval\\tasks\\gsm8k\\gsm8k.yaml"
}
},
"mmlu_high_school_mathematics_generative": {
"task": "mmlu_high_school_mathematics_generative",
"task_alias": "high_school_mathematics",
"dataset_path": "cais/mmlu",
"dataset_name": "high_school_mathematics",
"test_split": "test",
"fewshot_split": "dev",
"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
"doc_to_target": "{{['A', 'B', 'C', 'D'][answer]}}",
"unsafe_code": false,
"description": "The following are multiple choice questions (with answers) about high school mathematics.\n\n",
"target_delimiter": " ",
"fewshot_delimiter": "\n\n",
"fewshot_config": {
"sampler": "first_n",
"split": "dev",
"process_docs": null,
"fewshot_indices": null,
"samples": null,
"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
"doc_to_choice": null,
"doc_to_target": "{{['A', 'B', 'C', 'D'][answer]}}",
"gen_prefix": null,
"fewshot_delimiter": "\n\n",
"target_delimiter": " "
},
"num_fewshot": 0,
"metric_list": [
{
"metric": "exact_match",
"aggregation": "mean",
"higher_is_better": true,
"ignore_punctuation": true,
"ignore_case": true
}
],
"output_type": "generate_until",
"generation_kwargs": {
"until": [
"</s>",
"\n"
]
},
"repeats": 1,
"filter_list": [
{
"name": "get_response",
"filter": [
{
"function": "regex",
"regex_pattern": "^(.*?)(?=\\n|$)"
},
{
"function": "remove_whitespace"
},
{
"function": "regex",
"regex_pattern": "^(.*?)\\s*$"
},
{
"function": "take_first"
}
]
}
],
"should_decontaminate": false,
"metadata": {
"version": 3.0,
"base_url": "http://127.0.0.1:8080/v1/chat/completions",
"model": "meltdown",
"config_source": "C:\\Users\\jassi\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\lm_eval\\tasks\\mmlu\\generative\\mmlu_high_school_mathematics.yaml"
}
},
"mmlu_high_school_computer_science_generative": {
"task": "mmlu_high_school_computer_science_generative",
"task_alias": "high_school_computer_science",
"dataset_path": "cais/mmlu",
"dataset_name": "high_school_computer_science",
"test_split": "test",
"fewshot_split": "dev",
"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
"doc_to_target": "{{['A', 'B', 'C', 'D'][answer]}}",
"unsafe_code": false,
"description": "The following are multiple choice questions (with answers) about high school computer science.\n\n",
"target_delimiter": " ",
"fewshot_delimiter": "\n\n",
"fewshot_config": {
"sampler": "first_n",
"split": "dev",
"process_docs": null,
"fewshot_indices": null,
"samples": null,
"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
"doc_to_choice": null,
"doc_to_target": "{{['A', 'B', 'C', 'D'][answer]}}",
"gen_prefix": null,
"fewshot_delimiter": "\n\n",
"target_delimiter": " "
},
"num_fewshot": 0,
"metric_list": [
{
"metric": "exact_match",
"aggregation": "mean",
"higher_is_better": true,
"ignore_punctuation": true,
"ignore_case": true
}
],
"output_type": "generate_until",
"generation_kwargs": {
"until": [
"</s>",
"\n"
]
},
"repeats": 1,
"filter_list": [
{
"name": "get_response",
"filter": [
{
"function": "regex",
"regex_pattern": "^(.*?)(?=\\n|$)"
},
{
"function": "remove_whitespace"
},
{
"function": "regex",
"regex_pattern": "^(.*?)\\s*$"
},
{
"function": "take_first"
}
]
}
],
"should_decontaminate": false,
"metadata": {
"version": 3.0,
"base_url": "http://127.0.0.1:8080/v1/chat/completions",
"model": "meltdown",
"config_source": "C:\\Users\\jassi\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\lm_eval\\tasks\\mmlu\\generative\\mmlu_high_school_computer_science.yaml"
}
},
"ifeval": {
"task": "ifeval",
"dataset_path": "google/IFEval",
"test_split": "train",
"doc_to_text": "prompt",
"doc_to_target": 0,
"unsafe_code": false,
"process_results": "def process_results(doc, results):\n inp = InputExample(\n key=doc[\"key\"],\n instruction_id_list=doc[\"instruction_id_list\"],\n prompt=doc[\"prompt\"],\n kwargs=doc[\"kwargs\"],\n )\n response = results[0]\n\n out_strict = test_instruction_following_strict(inp, response)\n out_loose = test_instruction_following_loose(inp, response)\n\n return {\n \"prompt_level_strict_acc\": out_strict.follow_all_instructions,\n \"inst_level_strict_acc\": out_strict.follow_instruction_list,\n \"prompt_level_loose_acc\": out_loose.follow_all_instructions,\n \"inst_level_loose_acc\": out_loose.follow_instruction_list,\n }\n",
"description": "",
"target_delimiter": " ",
"fewshot_delimiter": "\n\n",
"fewshot_config": {
"sampler": "default",
"split": null,
"process_docs": null,
"fewshot_indices": null,
"samples": null,
"doc_to_text": "prompt",
"doc_to_choice": null,
"doc_to_target": 0,
"gen_prefix": null,
"fewshot_delimiter": "\n\n",
"target_delimiter": " "
},
"num_fewshot": 0,
"metric_list": [
{
"metric": "prompt_level_strict_acc",
"aggregation": "mean",
"higher_is_better": true
},
{
"metric": "inst_level_strict_acc",
"aggregation": "def agg_inst_level_acc(items):\n flat_items = [item for sublist in items for item in sublist]\n inst_level_acc = sum(flat_items) / len(flat_items)\n return inst_level_acc\n",
"higher_is_better": true
},
{
"metric": "prompt_level_loose_acc",
"aggregation": "mean",
"higher_is_better": true
},
{
"metric": "inst_level_loose_acc",
"aggregation": "def agg_inst_level_acc(items):\n flat_items = [item for sublist in items for item in sublist]\n inst_level_acc = sum(flat_items) / len(flat_items)\n return inst_level_acc\n",
"higher_is_better": true
}
],
"output_type": "generate_until",
"generation_kwargs": {
"until": [],
"do_sample": false,
"temperature": 0.0,
"max_gen_toks": 1280
},
"repeats": 1,
"should_decontaminate": false,
"metadata": {
"version": 4.0,
"base_url": "http://127.0.0.1:8080/v1/chat/completions",
"model": "meltdown",
"config_source": "C:\\Users\\jassi\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\lm_eval\\tasks\\ifeval\\ifeval.yaml"
}
}
}
}