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

cpu_training_transformers_text-classification_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": 16757.346304,
             "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": "266cd5c4efbc5c3204bf4ed430519c2bcc4cc6ea",
+            "optimum_benchmark_commit": "bf12ccfcd7efa011d0d69377131432e9b545fd5a",
             "transformers_version": "4.44.0",
             "transformers_commit": null,
             "accelerate_version": "0.33.0",
@@ -105,7 +105,7 @@
         "overall": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 2858.348544,
+                "max_ram": 2860.17536,
                 "max_global_vram": null,
                 "max_process_vram": null,
                 "max_reserved": null,
@@ -114,24 +114,24 @@
             "latency": {
                 "unit": "s",
                 "count": 5,
-                "total": 3.091450174999977,
-                "mean": 0.6182900349999955,
-                "stdev": 0.03770769047157549,
-                "p50": 0.594218350999995,
-                "p90": 0.6633264764000046,
-                "p95": 0.6765309312,
-                "p99": 0.6870944950399962,
+                "total": 2.9687449799999968,
+                "mean": 0.5937489959999993,
+                "stdev": 0.04750714752718034,
+                "p50": 0.5708200340000076,
+                "p90": 0.6423750620000078,
+                "p95": 0.6655329990000041,
+                "p99": 0.6840593486000012,
                 "values": [
-                    0.6897353859999953,
-                    0.590817512000001,
-                    0.594218350999995,
-                    0.5929658139999674,
-                    0.6237131120000186
+                    0.6886909360000004,
+                    0.5729012510000189,
+                    0.5708200340000076,
+                    0.5689931370000068,
+                    0.5673396219999631
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 16.173639285647024
+                "value": 16.842133742319646
             },
             "energy": null,
             "efficiency": null
@@ -139,7 +139,7 @@
         "warmup": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 2858.348544,
+                "max_ram": 2860.17536,
                 "max_global_vram": null,
                 "max_process_vram": null,
                 "max_reserved": null,
@@ -148,21 +148,21 @@
             "latency": {
                 "unit": "s",
                 "count": 2,
-                "total": 1.2805528979999963,
-                "mean": 0.6402764489999981,
-                "stdev": 0.04945893699999715,
-                "p50": 0.6402764489999981,
-                "p90": 0.6798435985999959,
-                "p95": 0.6847894922999955,
-                "p99": 0.6887462072599954,
+                "total": 1.2615921870000193,
+                "mean": 0.6307960935000096,
+                "stdev": 0.05789484249999077,
+                "p50": 0.6307960935000096,
+                "p90": 0.6771119675000022,
+                "p95": 0.6829014517500014,
+                "p99": 0.6875330391500006,
                 "values": [
-                    0.6897353859999953,
-                    0.590817512000001
+                    0.6886909360000004,
+                    0.5729012510000189
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 6.247301468369347
+                "value": 6.341193360608437
             },
             "energy": null,
             "efficiency": null
@@ -170,7 +170,7 @@
         "train": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 2858.348544,
+                "max_ram": 2860.17536,
                 "max_global_vram": null,
                 "max_process_vram": null,
                 "max_reserved": null,
@@ -179,22 +179,22 @@
             "latency": {
                 "unit": "s",
                 "count": 3,
-                "total": 1.810897276999981,
-                "mean": 0.6036324256666603,
-                "stdev": 0.014208393879397489,
-                "p50": 0.594218350999995,
-                "p90": 0.6178141598000139,
-                "p95": 0.6207636359000162,
-                "p99": 0.623123216780018,
+                "total": 1.7071527929999775,
+                "mean": 0.5690509309999925,
+                "stdev": 0.0014214598205926938,
+                "p50": 0.5689931370000068,
+                "p90": 0.5704546546000074,
+                "p95": 0.5706373443000075,
+                "p99": 0.5707834960600076,
                 "values": [
-                    0.594218350999995,
-                    0.5929658139999674,
-                    0.6237131120000186
+                    0.5708200340000076,
+                    0.5689931370000068,
+                    0.5673396219999631
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 9.939823881020828
+                "value": 10.54387168729556
             },
             "energy": null,
             "efficiency": null