Text Generation
Transformers
Safetensors
English
mega
Inference Endpoints
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{
  "results": {
    "arc_easy": {
      "acc": 0.4414983164983165,
      "acc_stderr": 0.010189314382749946,
      "acc_norm": 0.3968855218855219,
      "acc_norm_stderr": 0.01003923680058321
    },
    "boolq": {
      "acc": 0.5749235474006116,
      "acc_stderr": 0.008646316159373179
    },
    "lambada_openai": {
      "ppl": 94.9912418583616,
      "ppl_stderr": 3.9681997912266134,
      "acc": 0.24083058412575198,
      "acc_stderr": 0.005957132284367873
    },
    "openbookqa": {
      "acc": 0.166,
      "acc_stderr": 0.016656616876531142,
      "acc_norm": 0.278,
      "acc_norm_stderr": 0.020055833888070914
    },
    "piqa": {
      "acc": 0.5973884657236126,
      "acc_stderr": 0.011442395233488698,
      "acc_norm": 0.5914036996735582,
      "acc_norm_stderr": 0.01146924038724515
    },
    "winogrande": {
      "acc": 0.48303078137332284,
      "acc_stderr": 0.014044390401612976
    }
  },
  "versions": {
    "arc_easy": 0,
    "boolq": 1,
    "lambada_openai": 0,
    "openbookqa": 0,
    "piqa": 0,
    "winogrande": 0
  },
  "config": {
    "model": "hf-causal-experimental",
    "model_args": "pretrained=BEE-spoke-data/mega-ar-126m-4k,revision=main,trust_remote_code=True,dtype='float'",
    "num_fewshot": 0,
    "batch_size": "4",
    "batch_sizes": [],
    "device": "cuda",
    "no_cache": false,
    "limit": null,
    "bootstrap_iters": 100000,
    "description_dict": {}
  }
}