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": 16757.346304,
             "system": "Linux",
             "machine": "x86_64",
             "platform": "Linux-6.5.0-1023-azure-x86_64-with-glibc2.35",
             "processor": "x86_64",
             "python_version": "3.10.14",
             "optimum_benchmark_version": "0.3.1",
-            "optimum_benchmark_commit": "c45aecda12da41e3b6f6ac9537d2f41a72709a5a",
+            "optimum_benchmark_commit": "ba7db8be4ae5965d5e6183075f0edd30672dab7b",
             "transformers_version": "4.42.4",
             "transformers_commit": null,
             "accelerate_version": "0.32.1",
@@ -105,7 +105,7 @@
         "overall": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 2845.4912,
+                "max_ram": 2856.554496,
                 "max_global_vram": null,
                 "max_process_vram": null,
                 "max_reserved": null,
@@ -114,24 +114,24 @@
             "latency": {
                 "unit": "s",
                 "count": 5,
-                "total": 3.6985954190000143,
-                "mean": 0.7397190838000028,
-                "stdev": 0.04839507746489426,
-                "p50": 0.720070059999955,
-                "p90": 0.7898040406000291,
-                "p95": 0.8129844248000268,
-                "p99": 0.8315287321600249,
+                "total": 3.7551817519999986,
+                "mean": 0.7510363503999997,
+                "stdev": 0.0459686684931504,
+                "p50": 0.7271516209999618,
+                "p90": 0.7983692910000059,
+                "p95": 0.8206354800000099,
+                "p99": 0.8384484312000131,
                 "values": [
-                    0.8361648090000244,
-                    0.720070059999955,
-                    0.7111992009999994,
-                    0.7108984609999993,
-                    0.7202628880000361
+                    0.842901669000014,
+                    0.7265401890000476,
+                    0.7270175489999815,
+                    0.7271516209999618,
+                    0.7315707239999938
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 13.518645414187652
+                "value": 13.314934749395325
             },
             "energy": null,
             "efficiency": null
@@ -139,7 +139,7 @@
         "warmup": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 2845.4912,
+                "max_ram": 2856.554496,
                 "max_global_vram": null,
                 "max_process_vram": null,
                 "max_reserved": null,
@@ -148,21 +148,21 @@
             "latency": {
                 "unit": "s",
                 "count": 2,
-                "total": 1.5562348689999794,
-                "mean": 0.7781174344999897,
-                "stdev": 0.05804737450003472,
-                "p50": 0.7781174344999897,
-                "p90": 0.8245553341000175,
-                "p95": 0.830360071550021,
-                "p99": 0.8350038615100237,
+                "total": 1.5694418580000615,
+                "mean": 0.7847209290000308,
+                "stdev": 0.05818073999998319,
+                "p50": 0.7847209290000308,
+                "p90": 0.8312655210000173,
+                "p95": 0.8370835950000156,
+                "p99": 0.8417380542000142,
                 "values": [
-                    0.8361648090000244,
-                    0.720070059999955
+                    0.842901669000014,
+                    0.7265401890000476
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 5.140612229785545
+                "value": 5.097353533181786
             },
             "energy": null,
             "efficiency": null
@@ -170,7 +170,7 @@
         "train": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 2845.4912,
+                "max_ram": 2856.554496,
                 "max_global_vram": null,
                 "max_process_vram": null,
                 "max_reserved": null,
@@ -179,22 +179,22 @@
             "latency": {
                 "unit": "s",
                 "count": 3,
-                "total": 2.142360550000035,
-                "mean": 0.7141201833333449,
-                "stdev": 0.004345283006014842,
-                "p50": 0.7111992009999994,
-                "p90": 0.7184501506000288,
-                "p95": 0.7193565193000324,
-                "p99": 0.7200816142600354,
+                "total": 2.185739893999937,
+                "mean": 0.7285799646666457,
+                "stdev": 0.002115494405224029,
+                "p50": 0.7271516209999618,
+                "p90": 0.7306869033999874,
+                "p95": 0.7311288136999906,
+                "p99": 0.7314823419399932,
                 "values": [
-                    0.7111992009999994,
-                    0.7108984609999993,
-                    0.7202628880000361
+                    0.7270175489999815,
+                    0.7271516209999618,
+                    0.7315707239999938
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 8.401947095226202
+                "value": 8.235197632349442
             },
             "energy": null,
             "efficiency": null