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

@@ -79,14 +79,14 @@
         "environment": {
             "cpu": " AMD EPYC 7763 64-Core Processor",
             "cpu_count": 4,
-            "cpu_ram_mb": 16757.342208,
+            "cpu_ram_mb": 16757.338112,
             "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": "cc4815a0adfd58e10f1a2703b6041d9736903381",
+            "optimum_benchmark_commit": "c32b0c58c97c176ab4cf930864469754db9b3f23",
             "transformers_version": "4.44.2",
             "transformers_commit": null,
             "accelerate_version": "0.34.2",
@@ -105,7 +105,7 @@
         "overall": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 2497.835008,
+                "max_ram": 2509.672448,
                 "max_global_vram": null,
                 "max_process_vram": null,
                 "max_reserved": null,
@@ -114,32 +114,33 @@
             "latency": {
                 "unit": "s",
                 "count": 5,
-                "total": 3.020499058000013,
-                "mean": 0.6040998116000026,
-                "stdev": 0.061936406367381736,
-                "p50": 0.5738156170000082,
-                "p90": 0.6804163492000044,
-                "p95": 0.684461258600004,
-                "p99": 0.6876971861200036,
+                "total": 2.9019742650000353,
+                "mean": 0.580394853000007,
+                "stdev": 0.06043638500967156,
+                "p50": 0.5480136699999889,
+                "p90": 0.644071203600015,
+                "p95": 0.6725086088000125,
+                "p99": 0.6952585329600106,
                 "values": [
-                    0.6682816210000055,
-                    0.5738156170000082,
-                    0.6885061680000035,
-                    0.5482498909999833,
-                    0.5416457610000123
+                    0.7009460140000101,
+                    0.5474061699999879,
+                    0.546849423000026,
+                    0.5587589880000223,
+                    0.5480136699999889
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 16.55355589917214
+                "value": 17.229649691603793
             },
             "energy": null,
-            "efficiency": null
+            "efficiency": null,
+            "measures": null
         },
         "warmup": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 2497.835008,
+                "max_ram": 2509.672448,
                 "max_global_vram": null,
                 "max_process_vram": null,
                 "max_reserved": null,
@@ -148,29 +149,30 @@
             "latency": {
                 "unit": "s",
                 "count": 2,
-                "total": 1.2420972380000137,
-                "mean": 0.6210486190000069,
-                "stdev": 0.04723300199999869,
-                "p50": 0.6210486190000069,
-                "p90": 0.6588350206000058,
-                "p95": 0.6635583208000057,
-                "p99": 0.6673369609600056,
+                "total": 1.248352183999998,
+                "mean": 0.624176091999999,
+                "stdev": 0.07676992200001109,
+                "p50": 0.624176091999999,
+                "p90": 0.6855920296000079,
+                "p95": 0.693269021800009,
+                "p99": 0.6994106155600099,
                 "values": [
-                    0.6682816210000055,
-                    0.5738156170000082
+                    0.7009460140000101,
+                    0.5474061699999879
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 6.440719579154166
+                "value": 6.408447954459631
             },
             "energy": null,
-            "efficiency": null
+            "efficiency": null,
+            "measures": null
         },
         "train": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 2497.835008,
+                "max_ram": 2509.672448,
                 "max_global_vram": null,
                 "max_process_vram": null,
                 "max_reserved": null,
@@ -179,25 +181,26 @@
             "latency": {
                 "unit": "s",
                 "count": 3,
-                "total": 1.7784018199999991,
-                "mean": 0.5928006066666663,
-                "stdev": 0.0677277367398862,
-                "p50": 0.5482498909999833,
-                "p90": 0.6604549125999994,
-                "p95": 0.6744805403000015,
-                "p99": 0.6857010424600031,
+                "total": 1.6536220810000373,
+                "mean": 0.5512073603333457,
+                "stdev": 0.005360918956131614,
+                "p50": 0.5480136699999889,
+                "p90": 0.5566099244000157,
+                "p95": 0.5576844562000189,
+                "p99": 0.5585440816400217,
                 "values": [
-                    0.6885061680000035,
-                    0.5482498909999833,
-                    0.5416457610000123
+                    0.546849423000026,
+                    0.5587589880000223,
+                    0.5480136699999889
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 10.121447131672419
+                "value": 10.885195720847172
             },
             "energy": null,
-            "efficiency": null
+            "efficiency": null,
+            "measures": null
         }
     }
 }