Upload cpu_inference_transformers_token-classification_microsoft/deberta-v3-base/benchmark.json with huggingface_hub

cpu_inference_transformers_token-classification_microsoft/deberta-v3-base/benchmark.json

@@ -80,8 +80,8 @@
             "processor": "x86_64",
             "python_version": "3.10.14",
             "optimum_benchmark_version": "0.3.1",
-            "optimum_benchmark_commit": "78f186000310f5748c0db3b53c71221ca44cb3f0",
-            "transformers_version": "4.42.3",
+            "optimum_benchmark_commit": "c31e63ddb94c29460ba90ff599147e94ff80543a",
+            "transformers_version": "4.42.4",
             "transformers_commit": null,
             "accelerate_version": "0.32.1",
             "accelerate_commit": null,
@@ -99,7 +99,7 @@
         "forward": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 1185.15712,
+                "max_ram": 1184.661504,
                 "max_global_vram": null,
                 "max_process_vram": null,
                 "max_reserved": null,
@@ -108,37 +108,37 @@
             "latency": {
                 "unit": "s",
                 "count": 7,
-                "total": 1.0334946700000387,
-                "mean": 0.14764209571429124,
-                "stdev": 0.0067883240608360255,
-                "p50": 0.15221885500000099,
-                "p90": 0.153855164599986,
-                "p95": 0.15386558179998247,
-                "p99": 0.15387391555997965,
+                "total": 1.0379026440000985,
+                "mean": 0.14827180628572836,
+                "stdev": 0.010918568846618038,
+                "p50": 0.15153902000002972,
+                "p90": 0.15978533520001292,
+                "p95": 0.16087156859998686,
+                "p99": 0.161740555319966,
                 "values": [
-                    0.15221885500000099,
-                    0.15352681000001667,
-                    0.15387599899997895,
-                    0.15384127499999067,
-                    0.13803071300003467,
-                    0.13886726999999155,
-                    0.1431337480000252
+                    0.15778176300000268,
+                    0.15833702400004768,
+                    0.1619578019999608,
+                    0.15153902000002972,
+                    0.13613779500002465,
+                    0.1360787830000163,
+                    0.13607045700001663
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 6.773136043362215
+                "value": 6.744370524986673
             },
             "energy": {
                 "unit": "kWh",
-                "cpu": 5.46897484196557e-06,
-                "ram": 2.2856288280197628e-07,
+                "cpu": 5.3407708803812665e-06,
+                "ram": 2.2320598338611813e-07,
                 "gpu": 0.0,
-                "total": 5.697537724767547e-06
+                "total": 5.563976863767385e-06
             },
             "efficiency": {
                 "unit": "samples/kWh",
-                "value": 175514.41487661214
+                "value": 179727.5625842371
             }
         }
     }