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": 16757.342208,
+            "cpu_ram_mb": 16757.338112,
             "system": "Linux",
             "machine": "x86_64",
             "platform": "Linux-6.5.0-1025-azure-x86_64-with-glibc2.35",
             "processor": "x86_64",
             "python_version": "3.10.14",
             "optimum_benchmark_version": "0.4.0",
-            "optimum_benchmark_commit": "1c0c7070b263cda84bbf4ff92db4fa108762afe2",
+            "optimum_benchmark_commit": "c932665bc86cea66c29ccd4e794b336721ae01f7",
             "transformers_version": "4.44.2",
             "transformers_commit": null,
             "accelerate_version": "0.33.0",
@@ -105,7 +105,7 @@
         "overall": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 2857.730048,
+                "max_ram": 2871.328768,
                 "max_global_vram": null,
                 "max_process_vram": null,
                 "max_reserved": null,
@@ -114,24 +114,24 @@
             "latency": {
                 "unit": "s",
                 "count": 5,
-                "total": 3.7264999189999912,
-                "mean": 0.7452999837999983,
-                "stdev": 0.05135324640869205,
-                "p50": 0.7229540010000051,
-                "p90": 0.7998279917999866,
-                "p95": 0.8236109023999916,
-                "p99": 0.8426372308799955,
+                "total": 3.700960928000086,
+                "mean": 0.7401921856000172,
+                "stdev": 0.04841506241269848,
+                "p50": 0.7197983230000204,
+                "p90": 0.791042108600027,
+                "p95": 0.8137988588000212,
+                "p99": 0.8320042589600166,
                 "values": [
-                    0.8473938129999965,
-                    0.7133681560000014,
-                    0.7229540010000051,
-                    0.7284792599999719,
-                    0.7143046890000164
+                    0.8365556090000155,
+                    0.7115493019999803,
+                    0.7197983230000204,
+                    0.7227718580000442,
+                    0.7102858360000255
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 13.417416097359672
+                "value": 13.510004826508354
             },
             "energy": null,
             "efficiency": null
@@ -139,7 +139,7 @@
         "warmup": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 2857.730048,
+                "max_ram": 2871.328768,
                 "max_global_vram": null,
                 "max_process_vram": null,
                 "max_reserved": null,
@@ -148,21 +148,21 @@
             "latency": {
                 "unit": "s",
                 "count": 2,
-                "total": 1.5607619689999979,
-                "mean": 0.7803809844999989,
-                "stdev": 0.06701282849999757,
-                "p50": 0.7803809844999989,
-                "p90": 0.833991247299997,
-                "p95": 0.8406925301499968,
-                "p99": 0.8460535564299966,
+                "total": 1.5481049109999958,
+                "mean": 0.7740524554999979,
+                "stdev": 0.06250315350001756,
+                "p50": 0.7740524554999979,
+                "p90": 0.824054978300012,
+                "p95": 0.8303052936500137,
+                "p99": 0.8353055459300152,
                 "values": [
-                    0.8473938129999965,
-                    0.7133681560000014
+                    0.8365556090000155,
+                    0.7115493019999803
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 5.125701522010888
+                "value": 5.167608437358688
             },
             "energy": null,
             "efficiency": null
@@ -170,7 +170,7 @@
         "train": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 2857.730048,
+                "max_ram": 2871.328768,
                 "max_global_vram": null,
                 "max_process_vram": null,
                 "max_reserved": null,
@@ -179,22 +179,22 @@
             "latency": {
                 "unit": "s",
                 "count": 3,
-                "total": 2.1657379499999934,
-                "mean": 0.7219126499999978,
-                "stdev": 0.005833405219772674,
-                "p50": 0.7229540010000051,
-                "p90": 0.7273742081999786,
-                "p95": 0.7279267340999752,
-                "p99": 0.7283687548199725,
+                "total": 2.15285601700009,
+                "mean": 0.7176186723333634,
+                "stdev": 0.005325307134662544,
+                "p50": 0.7197983230000204,
+                "p90": 0.7221771510000394,
+                "p95": 0.7224745045000418,
+                "p99": 0.7227123873000437,
                 "values": [
-                    0.7229540010000051,
-                    0.7284792599999719,
-                    0.7143046890000164
+                    0.7197983230000204,
+                    0.7227718580000442,
+                    0.7102858360000255
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 8.311254831176623
+                "value": 8.360986456066954
             },
             "energy": null,
             "efficiency": null