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": 16757.342208,
+            "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": "40cdab56663479e2e7275c1c80c2a04578a9eafc",
+            "optimum_benchmark_commit": "3b17890e550ffe969ad275a1b08288c6015397d9",
             "transformers_version": "4.40.2",
             "transformers_commit": null,
             "accelerate_version": "0.30.1",
@@ -102,7 +102,7 @@
         "overall": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 2832.359424,
+                "max_ram": 2841.141248,
                 "max_global_vram": null,
                 "max_process_vram": null,
                 "max_reserved": null,
@@ -111,24 +111,24 @@
             "latency": {
                 "unit": "s",
                 "count": 5,
-                "total": 3.0556726500000195,
-                "mean": 0.611134530000004,
-                "stdev": 0.04585260576853388,
-                "p50": 0.5782789470000012,
-                "p90": 0.669017637200011,
-                "p95": 0.6775321756000267,
-                "p99": 0.6843438063200392,
+                "total": 3.046115997000072,
+                "mean": 0.6092231994000145,
+                "stdev": 0.06606871297533778,
+                "p50": 0.578773391000027,
+                "p90": 0.6767832782000255,
+                "p95": 0.7089849836000212,
+                "p99": 0.7347463479200178,
                 "values": [
-                    0.6860467140000424,
-                    0.5719679100000121,
-                    0.5782789470000012,
-                    0.643474021999964,
-                    0.5759050569999999
+                    0.7411866890000169,
+                    0.578773391000027,
+                    0.5756679059999783,
+                    0.5801781620000384,
+                    0.5703098490000116
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 16.363009303368827
+                "value": 16.41434536611273
             },
             "energy": null,
             "efficiency": null
@@ -136,7 +136,7 @@
         "warmup": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 2832.359424,
+                "max_ram": 2841.141248,
                 "max_global_vram": null,
                 "max_process_vram": null,
                 "max_reserved": null,
@@ -145,21 +145,21 @@
             "latency": {
                 "unit": "s",
                 "count": 2,
-                "total": 1.2580146240000545,
-                "mean": 0.6290073120000272,
-                "stdev": 0.057039402000015116,
-                "p50": 0.6290073120000272,
-                "p90": 0.6746388336000393,
-                "p95": 0.6803427738000408,
-                "p99": 0.6849059259600421,
+                "total": 1.319960080000044,
+                "mean": 0.659980040000022,
+                "stdev": 0.08120664899999497,
+                "p50": 0.659980040000022,
+                "p90": 0.7249453592000179,
+                "p95": 0.7330660241000174,
+                "p99": 0.7395625560200171,
                 "values": [
-                    0.6860467140000424,
-                    0.5719679100000121
+                    0.7411866890000169,
+                    0.578773391000027
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 6.359226552202348
+                "value": 6.060789353568733
             },
             "energy": null,
             "efficiency": null
@@ -167,7 +167,7 @@
         "train": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 2832.359424,
+                "max_ram": 2841.141248,
                 "max_global_vram": null,
                 "max_process_vram": null,
                 "max_reserved": null,
@@ -176,22 +176,22 @@
             "latency": {
                 "unit": "s",
                 "count": 3,
-                "total": 1.797658025999965,
-                "mean": 0.5992193419999884,
-                "stdev": 0.03130778779428751,
-                "p50": 0.5782789470000012,
-                "p90": 0.6304350069999713,
-                "p95": 0.6369545144999677,
-                "p99": 0.6421701204999647,
+                "total": 1.7261559170000282,
+                "mean": 0.5753853056666761,
+                "stdev": 0.004033674716509439,
+                "p50": 0.5756679059999783,
+                "p90": 0.5792761108000264,
+                "p95": 0.5797271364000324,
+                "p99": 0.5800879568800371,
                 "values": [
-                    0.5782789470000012,
-                    0.643474021999964,
-                    0.5759050569999999
+                    0.5756679059999783,
+                    0.5801781620000384,
+                    0.5703098490000116
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 10.013027917246564
+                "value": 10.42779497652975
             },
             "energy": null,
             "efficiency": null