Upload test_api_push_to_hub_mixin/benchmark.json with huggingface_hub

test_api_push_to_hub_mixin/benchmark.json

@@ -69,14 +69,14 @@
         "environment": {
             "cpu": " AMD EPYC 7763 64-Core Processor",
             "cpu_count": 4,
-            "cpu_ram_mb": 16757.338112,
+            "cpu_ram_mb": 16757.342208,
             "system": "Linux",
             "machine": "x86_64",
             "platform": "Linux-6.5.0-1023-azure-x86_64-with-glibc2.35",
             "processor": "x86_64",
             "python_version": "3.10.14",
             "optimum_benchmark_version": "0.3.1",
-            "optimum_benchmark_commit": "4f83ff1670dec8f273c8beb893e9243ca1209582",
+            "optimum_benchmark_commit": "674d8c572ada4aac26b730928ac88a3effc914de",
             "transformers_version": "4.42.4",
             "transformers_commit": null,
             "accelerate_version": "0.32.1",
@@ -95,7 +95,7 @@
         "forward": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 898.097152,
+                "max_ram": 897.302528,
                 "max_global_vram": null,
                 "max_process_vram": null,
                 "max_reserved": null,
@@ -104,31 +104,31 @@
             "latency": {
                 "unit": "s",
                 "count": 12,
-                "total": 1.0719498769999518,
-                "mean": 0.08932915641666266,
-                "stdev": 0.0041550230387949185,
-                "p50": 0.08838693900000294,
-                "p90": 0.08976719549999075,
-                "p95": 0.09562938869999299,
-                "p99": 0.10132498013999851,
+                "total": 1.0333829720000267,
+                "mean": 0.08611524766666889,
+                "stdev": 0.0010235682661503824,
+                "p50": 0.0864381644999952,
+                "p90": 0.08708605489997864,
+                "p95": 0.08729503404999264,
+                "p99": 0.08748390361000816,
                 "values": [
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-                    0.08980435199998738,
-                    0.08943278700002111,
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+                    0.08753112100001204,
+                    0.08640749299999584,
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+                    0.08691624200000092,
+                    0.08418101000000888,
+                    0.08669947399999955,
+                    0.08506922100002612,
+                    0.08646883599999455,
+                    0.08603342600000019,
+                    0.08549096400000167,
+                    0.0869437009999956,
+                    0.08453961200001459
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 22.38910653842174
+                "value": 23.22469079740108
             },
             "energy": null,
             "efficiency": null