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

cpu_training_transformers_multiple-choice_FacebookAI/roberta-base/benchmark.json

@@ -74,14 +74,14 @@
         "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": "0.2.0",
-            "optimum_benchmark_commit": "83a87c3d95805880a695f5bd4e2d038143845010",
+            "optimum_benchmark_commit": "b50afdd89f3c69090dee699e5e398c44916e2d64",
             "transformers_version": "4.40.2",
             "transformers_commit": null,
             "accelerate_version": "0.30.1",
@@ -100,7 +100,7 @@
         "overall": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 2829.959168,
+                "max_ram": 2844.475392,
                 "max_global_vram": null,
                 "max_process_vram": null,
                 "max_reserved": null,
@@ -109,24 +109,24 @@
             "latency": {
                 "unit": "s",
                 "count": 5,
-                "total": 3.726759168000001,
-                "mean": 0.7453518336000002,
-                "stdev": 0.04752344131846556,
-                "p50": 0.7150119780000068,
-                "p90": 0.8032997773999909,
-                "p95": 0.8182023401999913,
-                "p99": 0.8301243904399916,
+                "total": 3.767362111000068,
+                "mean": 0.7534724222000136,
+                "stdev": 0.05310134886913619,
+                "p50": 0.7252506040000526,
+                "p90": 0.8143507662000047,
+                "p95": 0.8355539115999931,
+                "p99": 0.8525164279199839,
                 "values": [
-                    0.8331049029999917,
-                    0.7101216100000443,
-                    0.7585920889999898,
-                    0.7099285879999684,
-                    0.7150119780000068
+                    0.8567570569999816,
+                    0.7507413300000394,
+                    0.719671027000004,
+                    0.7149420929999906,
+                    0.7252506040000526
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 13.416482725615175
+                "value": 13.271885878452817
             },
             "energy": null,
             "efficiency": null
@@ -134,7 +134,7 @@
         "warmup": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 2829.959168,
+                "max_ram": 2844.475392,
                 "max_global_vram": null,
                 "max_process_vram": null,
                 "max_reserved": null,
@@ -143,21 +143,21 @@
             "latency": {
                 "unit": "s",
                 "count": 2,
-                "total": 1.543226513000036,
-                "mean": 0.771613256500018,
-                "stdev": 0.06149164649997374,
-                "p50": 0.771613256500018,
-                "p90": 0.820806573699997,
-                "p95": 0.8269557383499944,
-                "p99": 0.8318750700699923,
+                "total": 1.607498387000021,
+                "mean": 0.8037491935000105,
+                "stdev": 0.05300786349997111,
+                "p50": 0.8037491935000105,
+                "p90": 0.8461554842999874,
+                "p95": 0.8514562706499845,
+                "p99": 0.8556968997299822,
                 "values": [
-                    0.8331049029999917,
-                    0.7101216100000443
+                    0.8567570569999816,
+                    0.7507413300000394
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 5.183944114884328
+                "value": 4.976676844404134
             },
             "energy": null,
             "efficiency": null
@@ -165,7 +165,7 @@
         "train": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 2829.959168,
+                "max_ram": 2844.475392,
                 "max_global_vram": null,
                 "max_process_vram": null,
                 "max_reserved": null,
@@ -174,22 +174,22 @@
             "latency": {
                 "unit": "s",
                 "count": 3,
-                "total": 2.183532654999965,
-                "mean": 0.7278442183333217,
-                "stdev": 0.02184084669258855,
-                "p50": 0.7150119780000068,
-                "p90": 0.7498760667999932,
-                "p95": 0.7542340778999914,
-                "p99": 0.75772048677999,
+                "total": 2.159863724000047,
+                "mean": 0.7199545746666823,
+                "stdev": 0.004213205368762919,
+                "p50": 0.719671027000004,
+                "p90": 0.7241346886000428,
+                "p95": 0.7246926463000477,
+                "p99": 0.7251390124600516,
                 "values": [
-                    0.7585920889999898,
-                    0.7099285879999684,
-                    0.7150119780000068
+                    0.719671027000004,
+                    0.7149420929999906,
+                    0.7252506040000526
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 8.243522238507712
+                "value": 8.333859122678431
             },
             "energy": null,
             "efficiency": null