Upload cpu_training_transformers_fill-mask_google-bert/bert-base-uncased/benchmark.json with huggingface_hub

cpu_training_transformers_fill-mask_google-bert/bert-base-uncased/benchmark.json

@@ -80,14 +80,14 @@
         "environment": {
             "cpu": " AMD EPYC 7763 64-Core Processor",
             "cpu_count": 4,
-            "cpu_ram_mb": 16757.342208,
+            "cpu_ram_mb": 16757.334016,
             "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": "bc4d55acdaf328bd5108ceb452b0f0a0c042200e",
+            "optimum_benchmark_commit": "bc977b19adf337e8eb02985f3cceb35e1a783a1c",
             "transformers_version": "4.42.4",
             "transformers_commit": null,
             "accelerate_version": "0.32.1",
@@ -106,7 +106,7 @@
         "overall": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 2484.125696,
+                "max_ram": 2477.027328,
                 "max_global_vram": null,
                 "max_process_vram": null,
                 "max_reserved": null,
@@ -115,24 +115,24 @@
             "latency": {
                 "unit": "s",
                 "count": 5,
-                "total": 3.564744624999946,
-                "mean": 0.7129489249999892,
-                "stdev": 0.05221426259769931,
-                "p50": 0.6891520489999721,
-                "p90": 0.7667578861999971,
-                "p95": 0.7919373606000022,
-                "p99": 0.8120809401200063,
+                "total": 2.819149408000044,
+                "mean": 0.5638298816000088,
+                "stdev": 0.04124857895369737,
+                "p50": 0.5415907639999773,
+                "p90": 0.6074317102000123,
+                "p95": 0.6267533116000095,
+                "p99": 0.6422105927200072,
                 "values": [
-                    0.8171168350000073,
-                    0.6802506539999911,
-                    0.687005623999994,
-                    0.6912194629999817,
-                    0.6891520489999721
+                    0.6460749130000067,
+                    0.5414925690000132,
+                    0.5494669060000206,
+                    0.5405242560000261,
+                    0.5415907639999773
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 14.026250197375852
+                "value": 17.735846088225212
             },
             "energy": null,
             "efficiency": null
@@ -140,7 +140,7 @@
         "warmup": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 2484.125696,
+                "max_ram": 2477.027328,
                 "max_global_vram": null,
                 "max_process_vram": null,
                 "max_reserved": null,
@@ -149,21 +149,21 @@
             "latency": {
                 "unit": "s",
                 "count": 2,
-                "total": 1.4973674889999984,
-                "mean": 0.7486837444999992,
-                "stdev": 0.06843309050000812,
-                "p50": 0.7486837444999992,
-                "p90": 0.8034302169000057,
-                "p95": 0.8102735259500065,
-                "p99": 0.8157481731900071,
+                "total": 1.18756748200002,
+                "mean": 0.59378374100001,
+                "stdev": 0.05229117199999678,
+                "p50": 0.59378374100001,
+                "p90": 0.6356166786000074,
+                "p95": 0.6408457958000071,
+                "p99": 0.6450290895600068,
                 "values": [
-                    0.8171168350000073,
-                    0.6802506539999911
+                    0.6460749130000067,
+                    0.5414925690000132
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 5.34270982826181
+                "value": 6.73645929284536
             },
             "energy": null,
             "efficiency": null
@@ -171,7 +171,7 @@
         "train": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 2484.125696,
+                "max_ram": 2477.027328,
                 "max_global_vram": null,
                 "max_process_vram": null,
                 "max_reserved": null,
@@ -180,22 +180,22 @@
             "latency": {
                 "unit": "s",
                 "count": 3,
-                "total": 2.0673771359999478,
-                "mean": 0.6891257119999826,
-                "stdev": 0.0017203933673495975,
-                "p50": 0.6891520489999721,
-                "p90": 0.6908059801999797,
-                "p95": 0.6910127215999807,
-                "p99": 0.6911781147199815,
+                "total": 1.631581926000024,
+                "mean": 0.5438606420000079,
+                "stdev": 0.003988066102500298,
+                "p50": 0.5415907639999773,
+                "p90": 0.5478916776000119,
+                "p95": 0.5486792918000163,
+                "p99": 0.5493093831600198,
                 "values": [
-                    0.687005623999994,
-                    0.6912194629999817,
-                    0.6891520489999721
+                    0.5494669060000206,
+                    0.5405242560000261,
+                    0.5415907639999773
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 8.706684274755592
+                "value": 11.032237923920063
             },
             "energy": null,
             "efficiency": null