Upload cpu_training_transformers_text-classification_FacebookAI/roberta-base/benchmark.json with huggingface_hub

cpu_training_transformers_text-classification_FacebookAI/roberta-base/benchmark.json

@@ -76,14 +76,14 @@
         "environment": {
             "cpu": " AMD EPYC 7763 64-Core Processor",
             "cpu_count": 4,
-            "cpu_ram_mb": 16757.3504,
+            "cpu_ram_mb": 16757.346304,
             "system": "Linux",
             "machine": "x86_64",
             "platform": "Linux-6.5.0-1018-azure-x86_64-with-glibc2.35",
             "processor": "x86_64",
             "python_version": "3.10.14",
             "optimum_benchmark_version": "0.2.0",
-            "optimum_benchmark_commit": "8c941d382a8099afb1970de0d586e2ae6aa525e8",
+            "optimum_benchmark_commit": "b0a0b933f18d5fa56eadb290a26cc2099f2dd4d8",
             "transformers_version": "4.40.2",
             "transformers_commit": null,
             "accelerate_version": "0.30.1",
@@ -102,7 +102,7 @@
         "overall": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 2851.131392,
+                "max_ram": 2831.233024,
                 "max_global_vram": null,
                 "max_process_vram": null,
                 "max_reserved": null,
@@ -111,24 +111,24 @@
             "latency": {
                 "unit": "s",
                 "count": 5,
-                "total": 3.08328235700003,
-                "mean": 0.616656471400006,
-                "stdev": 0.04658756825101759,
-                "p50": 0.5905238080000004,
-                "p90": 0.6721851560000005,
-                "p95": 0.6879411440000013,
-                "p99": 0.7005459344000019,
+                "total": 3.1584271570000055,
+                "mean": 0.6316854314000011,
+                "stdev": 0.05902107850972416,
+                "p50": 0.6066752639999891,
+                "p90": 0.692357513800016,
+                "p95": 0.7208389184000111,
+                "p99": 0.7436240420800072,
                 "values": [
-                    0.7036971320000021,
-                    0.5905238080000004,
-                    0.6249171919999981,
-                    0.590215196000031,
-                    0.5739290289999985
+                    0.7493203230000063,
+                    0.6069133000000306,
+                    0.602136158999997,
+                    0.6066752639999891,
+                    0.5933821109999826
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 16.216484321159925
+                "value": 15.830664287819735
             },
             "energy": null,
             "efficiency": null
@@ -136,7 +136,7 @@
         "warmup": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 2851.131392,
+                "max_ram": 2831.233024,
                 "max_global_vram": null,
                 "max_process_vram": null,
                 "max_reserved": null,
@@ -145,21 +145,21 @@
             "latency": {
                 "unit": "s",
                 "count": 2,
-                "total": 1.2942209400000024,
-                "mean": 0.6471104700000012,
-                "stdev": 0.05658666200000084,
-                "p50": 0.6471104700000012,
-                "p90": 0.6923797996000018,
-                "p95": 0.698038465800002,
-                "p99": 0.702565398760002,
+                "total": 1.356233623000037,
+                "mean": 0.6781168115000185,
+                "stdev": 0.07120351149998783,
+                "p50": 0.6781168115000185,
+                "p90": 0.7350796207000088,
+                "p95": 0.7421999718500075,
+                "p99": 0.7478962527700065,
                 "values": [
-                    0.7036971320000021,
-                    0.5905238080000004
+                    0.7493203230000063,
+                    0.6069133000000306
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 6.181324805330367
+                "value": 5.898688739410336
             },
             "energy": null,
             "efficiency": null
@@ -167,7 +167,7 @@
         "train": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 2851.131392,
+                "max_ram": 2831.233024,
                 "max_global_vram": null,
                 "max_process_vram": null,
                 "max_reserved": null,
@@ -176,22 +176,22 @@
             "latency": {
                 "unit": "s",
                 "count": 3,
-                "total": 1.7890614170000276,
-                "mean": 0.5963538056666758,
-                "stdev": 0.021263585273234922,
-                "p50": 0.590215196000031,
-                "p90": 0.6179767928000046,
-                "p95": 0.6214469924000013,
-                "p99": 0.6242231520799987,
+                "total": 1.8021935339999686,
+                "mean": 0.6007311779999895,
+                "stdev": 0.005517092101109148,
+                "p50": 0.602136158999997,
+                "p90": 0.6057674429999906,
+                "p95": 0.6062213534999898,
+                "p99": 0.6065844818999893,
                 "values": [
-                    0.6249171919999981,
-                    0.590215196000031,
-                    0.5739290289999985
+                    0.602136158999997,
+                    0.6066752639999891,
+                    0.5933821109999826
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 10.061141461640343
+                "value": 9.987828532515595
             },
             "energy": null,
             "efficiency": null