|
{ |
|
"results": { |
|
"winogrande": { |
|
"acc,none": 0.7655880031570639, |
|
"acc_stderr,none": 0.011906130106237992, |
|
"alias": "winogrande" |
|
} |
|
}, |
|
"configs": { |
|
"winogrande": { |
|
"task": "winogrande", |
|
"dataset_path": "/lustre07/scratch/gagan30/arocr/meta-llama/self_rewarding_models/eval/winogrande", |
|
"dataset_name": "winogrande_xl", |
|
"training_split": "train", |
|
"validation_split": "validation", |
|
"doc_to_text": "def doc_to_text(doc):\n answer_to_num = {\"1\": 0, \"2\": 1}\n return answer_to_num[doc[\"answer\"]]\n", |
|
"doc_to_target": "def doc_to_target(doc):\n idx = doc[\"sentence\"].index(\"_\") + 1\n return doc[\"sentence\"][idx:].strip()\n", |
|
"doc_to_choice": "def doc_to_choice(doc):\n idx = doc[\"sentence\"].index(\"_\")\n options = [doc[\"option1\"], doc[\"option2\"]]\n return [doc[\"sentence\"][:idx] + opt for opt in options]\n", |
|
"description": "", |
|
"target_delimiter": " ", |
|
"fewshot_delimiter": "\n\n", |
|
"num_fewshot": 5, |
|
"metric_list": [ |
|
{ |
|
"metric": "acc", |
|
"aggregation": "mean", |
|
"higher_is_better": true |
|
} |
|
], |
|
"output_type": "multiple_choice", |
|
"repeats": 1, |
|
"should_decontaminate": true, |
|
"doc_to_decontamination_query": "sentence", |
|
"metadata": { |
|
"version": 1.0 |
|
} |
|
} |
|
}, |
|
"versions": { |
|
"winogrande": 1.0 |
|
}, |
|
"n-shot": { |
|
"winogrande": 5 |
|
}, |
|
"config": { |
|
"model": "vllm", |
|
"model_args": "pretrained=/lustre07/scratch/gagan30/arocr/meta-llama/self_rewarding_models/Voyage-dpo-1,tensor_parallel_size=1,dtype=auto,gpu_memory_utilization=0.9,data_parallel_size=1,max_model_len=4096", |
|
"batch_size": "auto:128", |
|
"batch_sizes": [], |
|
"device": "cuda", |
|
"use_cache": "/lustre07/scratch/gagan30/arocr/cache/", |
|
"limit": null, |
|
"bootstrap_iters": 100000, |
|
"gen_kwargs": null |
|
}, |
|
"git_hash": null |
|
} |