Llama-2-7b-ultrachat200k-pruned_50 / winogrande_5shot_bs16_bf16.json
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{
"results": {
"winogrande": {
"acc": 0.6779794790844514,
"acc_stderr": 0.01313207020207106
}
},
"versions": {
"winogrande": 0
},
"config": {
"model": "sparseml",
"model_args": "pretrained=/network/alexandre/research/cerebras/llama2_7B_sparse50_45B_retrained/ultrachat200k/llama2_7B_45B_sparse50_LR2e-4_GC2_E2/training,dtype=bfloat16",
"num_fewshot": 5,
"batch_size": "16",
"batch_sizes": [],
"device": "cuda:2",
"no_cache": true,
"limit": null,
"bootstrap_iters": 100000,
"description_dict": {}
}
}