Upload cpu_training_transformers_multiple-choice_FacebookAI/roberta-base/benchmark.json with huggingface_hub

cpu_training_transformers_multiple-choice_FacebookAI/roberta-base/benchmark.json

@@ -79,14 +79,14 @@
         "environment": {
             "cpu": " AMD EPYC 7763 64-Core Processor",
             "cpu_count": 4,
-            "cpu_ram_mb": 16766.767104,
+            "cpu_ram_mb": 16766.7712,
             "system": "Linux",
             "machine": "x86_64",
             "platform": "Linux-6.8.0-1014-azure-x86_64-with-glibc2.35",
             "processor": "x86_64",
             "python_version": "3.10.15",
             "optimum_benchmark_version": "0.4.0",
-            "optimum_benchmark_commit": "023da6c3f34d2ed94ddc0e0bfec041ce126e452f",
+            "optimum_benchmark_commit": "01e4e599381bbd166de56057d1649aba9e7d2100",
             "transformers_version": "4.44.2",
             "transformers_commit": null,
             "accelerate_version": "0.34.2",
@@ -105,7 +105,7 @@
         "overall": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 2860.761088,
+                "max_ram": 2861.21984,
                 "max_global_vram": null,
                 "max_process_vram": null,
                 "max_reserved": null,
@@ -114,24 +114,24 @@
             "latency": {
                 "unit": "s",
                 "count": 5,
-                "total": 3.8109196279999935,
-                "mean": 0.7621839255999987,
-                "stdev": 0.05057473773615517,
-                "p50": 0.7388787909999905,
-                "p90": 0.8162747071999945,
-                "p95": 0.8394845475999944,
-                "p99": 0.8580524199199943,
+                "total": 3.744864775999986,
+                "mean": 0.7489729551999972,
+                "stdev": 0.057354905298062635,
+                "p50": 0.7224479479999673,
+                "p90": 0.8085499285999959,
+                "p95": 0.8359696828000096,
+                "p99": 0.8579054861600207,
                 "values": [
-                    0.8626943879999942,
-                    0.7388787909999905,
-                    0.7307583240000213,
-                    0.7319429389999925,
-                    0.746645185999995
+                    0.8633894370000235,
+                    0.7262906659999544,
+                    0.7138570559999948,
+                    0.7224479479999673,
+                    0.7188796690000459
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 13.120192730551096
+                "value": 13.351616945006665
             },
             "energy": null,
             "efficiency": null
@@ -139,7 +139,7 @@
         "warmup": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 2860.761088,
+                "max_ram": 2861.21984,
                 "max_global_vram": null,
                 "max_process_vram": null,
                 "max_reserved": null,
@@ -148,21 +148,21 @@
             "latency": {
                 "unit": "s",
                 "count": 2,
-                "total": 1.6015731789999847,
-                "mean": 0.8007865894999924,
-                "stdev": 0.06190779850000183,
-                "p50": 0.8007865894999924,
-                "p90": 0.8503128282999939,
-                "p95": 0.856503608149994,
-                "p99": 0.8614562320299942,
+                "total": 1.5896801029999779,
+                "mean": 0.7948400514999889,
+                "stdev": 0.06854938550003453,
+                "p50": 0.7948400514999889,
+                "p90": 0.8496795599000165,
+                "p95": 0.85653449845002,
+                "p99": 0.8620184492900228,
                 "values": [
-                    0.8626943879999942,
-                    0.7388787909999905
+                    0.8633894370000235,
+                    0.7262906659999544
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 4.995088644650734
+                "value": 5.0324590368230275
             },
             "energy": null,
             "efficiency": null
@@ -170,7 +170,7 @@
         "train": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 2860.761088,
+                "max_ram": 2861.21984,
                 "max_global_vram": null,
                 "max_process_vram": null,
                 "max_reserved": null,
@@ -179,22 +179,22 @@
             "latency": {
                 "unit": "s",
                 "count": 3,
-                "total": 2.2093464490000088,
-                "mean": 0.7364488163333363,
-                "stdev": 0.0072261236246878415,
-                "p50": 0.7319429389999925,
-                "p90": 0.7437047365999945,
-                "p95": 0.7451749612999947,
-                "p99": 0.7463511410599949,
+                "total": 2.155184673000008,
+                "mean": 0.7183948910000026,
+                "stdev": 0.0035239290213048636,
+                "p50": 0.7188796690000459,
+                "p90": 0.721734292199983,
+                "p95": 0.7220911200999751,
+                "p99": 0.7223765824199688,
                 "values": [
-                    0.7307583240000213,
-                    0.7319429389999925,
-                    0.746645185999995
+                    0.7138570559999948,
+                    0.7224479479999673,
+                    0.7188796690000459
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 8.147205707890283
+                "value": 8.351952491822464
             },
             "energy": null,
             "efficiency": null