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

@@ -73,14 +73,14 @@
         "environment": {
             "cpu": " AMD EPYC 7763 64-Core Processor",
             "cpu_count": 4,
-            "cpu_ram_mb": 16757.354496,
+            "cpu_ram_mb": 16757.3504,
             "system": "Linux",
             "machine": "x86_64",
             "platform": "Linux-6.5.0-1021-azure-x86_64-with-glibc2.35",
             "processor": "x86_64",
             "python_version": "3.10.14",
             "optimum_benchmark_version": "0.2.1",
-            "optimum_benchmark_commit": "5e9beea10942a9d4b3bee05550004817630e3d7e",
+            "optimum_benchmark_commit": "079be6729111d58c45eb7f4a60e984bbf86c5a81",
             "transformers_version": "4.41.0",
             "transformers_commit": null,
             "accelerate_version": "0.30.1",
@@ -99,7 +99,7 @@
         "forward": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 1175.719936,
+                "max_ram": 1177.194496,
                 "max_global_vram": null,
                 "max_process_vram": null,
                 "max_reserved": null,
@@ -108,37 +108,37 @@
             "latency": {
                 "unit": "s",
                 "count": 7,
-                "total": 1.1272812539999109,
-                "mean": 0.1610401791428444,
-                "stdev": 0.026439453057268386,
-                "p50": 0.15694732999997996,
-                "p90": 0.19593800219997776,
-                "p95": 0.20491731359996945,
-                "p99": 0.21210076271996284,
+                "total": 1.068481492999922,
+                "mean": 0.15264021328570315,
+                "stdev": 0.00929336989781662,
+                "p50": 0.15768829299997833,
+                "p90": 0.1596611232000214,
+                "p95": 0.1596893616000216,
+                "p99": 0.15971195232002175,
                 "values": [
-                    0.157371406999971,
-                    0.15694732999997996,
-                    0.2138966249999612,
-                    0.18396558699998877,
-                    0.138817481999979,
-                    0.137377258000015,
-                    0.13890556500001594
+                    0.15971760000002178,
+                    0.15686585999998215,
+                    0.15854406899995865,
+                    0.15768829299997833,
+                    0.15962347200002114,
+                    0.13782100399998853,
+                    0.13822119499997143
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 6.209630449510299
+                "value": 6.551353529153276
             },
             "energy": {
                 "unit": "kWh",
-                "cpu": 5.441217290030586e-06,
-                "ram": 2.274028990180099e-07,
+                "cpu": 5.509105655882094e-06,
+                "ram": 2.3024190337039843e-07,
                 "gpu": 0.0,
-                "total": 5.668620189048596e-06
+                "total": 5.7393475592524926e-06
             },
             "efficiency": {
                 "unit": "samples/kWh",
-                "value": 176409.77286358588
+                "value": 174235.8325011846
             }
         }
     }