Llama-2-7b-pruned50-retrained / winogrande_5shot_bs16_bf16.json
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{
"results": {
"winogrande": {
"acc": 0.7205998421468035,
"acc_stderr": 0.012610826539404676
}
},
"versions": {
"winogrande": 0
},
"config": {
"model": "sparseml",
"model_args": "pretrained=/network/alexandre/research/cerebras/llama2_7B_sparse50_45B_retrained/checkpoint,dtype=bfloat16",
"num_fewshot": 5,
"batch_size": "16",
"batch_sizes": [],
"device": "cuda:2",
"no_cache": true,
"limit": null,
"bootstrap_iters": 100000,
"description_dict": {}
}
}