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": 16757.338112,
+            "cpu_ram_mb": 16757.342208,
             "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": "50da7b73412b5fcfdb3831f32e0f2c5b8acaf7cf",
+            "optimum_benchmark_commit": "bf00581ca84403c7aba5a4a8f646e796f7b72599",
             "transformers_version": "4.42.3",
             "transformers_commit": null,
             "accelerate_version": "0.32.1",
@@ -105,7 +105,7 @@
         "overall": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 2852.880384,
+                "max_ram": 2844.34432,
                 "max_global_vram": null,
                 "max_process_vram": null,
                 "max_reserved": null,
@@ -114,24 +114,24 @@
             "latency": {
                 "unit": "s",
                 "count": 5,
-                "total": 2.9828042149999874,
-                "mean": 0.5965608429999975,
-                "stdev": 0.04440761095671859,
-                "p50": 0.576434719999952,
-                "p90": 0.6424256185999866,
-                "p95": 0.6638142997999807,
-                "p99": 0.6809252447599761,
+                "total": 3.013617746999955,
+                "mean": 0.6027235493999911,
+                "stdev": 0.04773795360643409,
+                "p50": 0.5763077340000109,
+                "p90": 0.6551265697999952,
+                "p95": 0.6761747364000029,
+                "p99": 0.6930132696800092,
                 "values": [
-                    0.6852029809999749,
-                    0.576434719999952,
-                    0.5782595750000041,
-                    0.5724517880000235,
-                    0.5704551510000329
+                    0.6972229030000108,
+                    0.572154796999996,
+                    0.5759502429999657,
+                    0.5919820699999718,
+                    0.5763077340000109
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 16.762749545732493
+                "value": 16.591354377898394
             },
             "energy": null,
             "efficiency": null
@@ -139,7 +139,7 @@
         "warmup": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 2852.880384,
+                "max_ram": 2844.34432,
                 "max_global_vram": null,
                 "max_process_vram": null,
                 "max_reserved": null,
@@ -148,21 +148,21 @@
             "latency": {
                 "unit": "s",
                 "count": 2,
-                "total": 1.261637700999927,
-                "mean": 0.6308188504999634,
-                "stdev": 0.05438413050001145,
-                "p50": 0.6308188504999634,
-                "p90": 0.6743261548999726,
-                "p95": 0.6797645679499738,
-                "p99": 0.6841152983899746,
+                "total": 1.2693777000000068,
+                "mean": 0.6346888500000034,
+                "stdev": 0.06253405300000736,
+                "p50": 0.6346888500000034,
+                "p90": 0.6847160924000093,
+                "p95": 0.69096949770001,
+                "p99": 0.6959722219400106,
                 "values": [
-                    0.6852029809999749,
-                    0.576434719999952
+                    0.6972229030000108,
+                    0.572154796999996
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 6.34096459994775
+                "value": 6.302300725780795
             },
             "energy": null,
             "efficiency": null
@@ -170,7 +170,7 @@
         "train": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 2852.880384,
+                "max_ram": 2844.34432,
                 "max_global_vram": null,
                 "max_process_vram": null,
                 "max_reserved": null,
@@ -179,22 +179,22 @@
             "latency": {
                 "unit": "s",
                 "count": 3,
-                "total": 1.7211665140000605,
-                "mean": 0.5737221713333535,
-                "stdev": 0.0033103538434266,
-                "p50": 0.5724517880000235,
-                "p90": 0.577098017600008,
-                "p95": 0.5776787963000061,
-                "p99": 0.5781434192600046,
+                "total": 1.7442400469999484,
+                "mean": 0.5814133489999828,
+                "stdev": 0.007474639239253633,
+                "p50": 0.5763077340000109,
+                "p90": 0.5888472027999796,
+                "p95": 0.5904146363999757,
+                "p99": 0.5916685832799726,
                 "values": [
-                    0.5782595750000041,
-                    0.5724517880000235,
-                    0.5704551510000329
+                    0.5759502429999657,
+                    0.5919820699999718,
+                    0.5763077340000109
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 10.458023586670457
+                "value": 10.319680499802521
             },
             "energy": null,
             "efficiency": null