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Upload cuda_inference_transformers_fill-mask_google-bert/bert-base-uncased/benchmark.json with huggingface_hub

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+ 0.0053647360801696775,
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
310
  0.005331967830657959,
311
+ 0.005402624130249023,
 
 
 
 
 
 
 
 
 
 
 
 
 
 
312
  0.005321728229522705,
313
+ 0.005315680027008057,
314
+ 0.005431295871734619,
315
+ 0.0055511040687561035,
316
+ 0.005305344104766845,
317
+ 0.005369855880737305,
318
+ 0.005339136123657226,
319
+ 0.00531660795211792,
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
320
  0.005295104026794434,
321
+ 0.0053309440612792965,
322
+ 0.005322751998901368,
323
+ 0.005302271842956543,
324
+ 0.005356544017791748,
325
+ 0.005318655967712403,
326
+ 0.005292031764984131,
327
+ 0.0053821439743042,
328
+ 0.00530944013595581,
329
+ 0.005339136123657226,
330
+ 0.005384191989898681,
331
+ 0.005352447986602784,
332
+ 0.0053012480735778805,
333
+ 0.005384191989898681,
334
+ 0.005417984008789062,
335
+ 0.005285888195037842
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
336
  ]
337
  },
338
  "throughput": {
339
  "unit": "samples/s",
340
+ "value": 178.24632885035064
341
  },
342
  "energy": {
343
  "unit": "kWh",
344
+ "cpu": 6.271370241461187e-08,
345
+ "ram": 3.428979417409268e-08,
346
+ "gpu": 1.3237664911111557e-07,
347
+ "total": 2.2938014569982016e-07
348
  },
349
  "efficiency": {
350
  "unit": "samples/kWh",
351
+ "value": 4359575.223692885
352
  }
353
  }
354
  }