| { |
| "results": { |
| "arc_challenge": { |
| "acc,none": 0.5614334470989761, |
| "acc_stderr,none": 0.014500682618212865, |
| "acc_norm,none": 0.613481228668942, |
| "acc_norm_stderr,none": 0.014230084761910473, |
| "alias": "arc_challenge" |
| } |
| }, |
| "configs": { |
| "arc_challenge": { |
| "task": "arc_challenge", |
| "group": [ |
| "ai2_arc" |
| ], |
| "dataset_path": "/lustre07/scratch/gagan30/arocr/meta-llama/self_rewarding_models/eval/ai2_arc", |
| "dataset_name": "ARC-Challenge", |
| "training_split": "train", |
| "validation_split": "validation", |
| "test_split": "test", |
| "doc_to_text": "Question: {{question}}\nAnswer:", |
| "doc_to_target": "{{choices.label.index(answerKey)}}", |
| "doc_to_choice": "{{choices.text}}", |
| "description": "", |
| "target_delimiter": " ", |
| "fewshot_delimiter": "\n\n", |
| "num_fewshot": 25, |
| "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: {{question}}\nAnswer:", |
| "metadata": { |
| "version": 1.0 |
| } |
| } |
| }, |
| "versions": { |
| "arc_challenge": 1.0 |
| }, |
| "n-shot": { |
| "arc_challenge": 25 |
| }, |
| "config": { |
| "model": "vllm", |
| "model_args": "pretrained=/lustre07/scratch/gagan30/arocr/meta-llama/self_rewarding_models/Oasis,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 |
| } |
