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": 16757.338112,
+            "cpu_ram_mb": 16757.342208,
             "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": "ab5cca637c4d04c05b877ae9d59a826198357fda",
+            "optimum_benchmark_commit": "6d9d5ca2350731ed23f64c0368b5a761377a7dae",
             "transformers_version": "4.44.0",
             "transformers_commit": null,
             "accelerate_version": "0.33.0",
@@ -105,7 +105,7 @@
         "overall": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 2509.438976,
+                "max_ram": 2493.530112,
                 "max_global_vram": null,
                 "max_process_vram": null,
                 "max_reserved": null,
@@ -114,24 +114,24 @@
             "latency": {
                 "unit": "s",
                 "count": 5,
-                "total": 2.8926631439999824,
-                "mean": 0.5785326287999965,
-                "stdev": 0.04852476808200298,
-                "p50": 0.5550115589999791,
-                "p90": 0.6317437713999994,
-                "p95": 0.6531129532000023,
-                "p99": 0.6702082986400046,
+                "total": 2.837699488999988,
+                "mean": 0.5675398977999976,
+                "stdev": 0.04606824362277024,
+                "p50": 0.5348099899999852,
+                "p90": 0.6250091384000143,
+                "p95": 0.6367876532000082,
+                "p99": 0.6462104650400033,
                 "values": [
-                    0.6744821350000052,
-                    0.5467945139999983,
-                    0.5550115589999791,
-                    0.5676362259999905,
-                    0.5487387100000092
+                    0.6485661680000021,
+                    0.5348099899999852,
+                    0.533876470999985,
+                    0.5896735940000326,
+                    0.5307732659999829
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 17.285109779792702
+                "value": 17.61990661584117
             },
             "energy": null,
             "efficiency": null
@@ -139,7 +139,7 @@
         "warmup": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 2509.438976,
+                "max_ram": 2493.530112,
                 "max_global_vram": null,
                 "max_process_vram": null,
                 "max_reserved": null,
@@ -148,21 +148,21 @@
             "latency": {
                 "unit": "s",
                 "count": 2,
-                "total": 1.2212766490000035,
-                "mean": 0.6106383245000018,
-                "stdev": 0.06384381050000343,
-                "p50": 0.6106383245000018,
-                "p90": 0.6617133729000045,
-                "p95": 0.6680977539500048,
-                "p99": 0.6732052587900051,
+                "total": 1.1833761579999873,
+                "mean": 0.5916880789999936,
+                "stdev": 0.05687808900000846,
+                "p50": 0.5916880789999936,
+                "p90": 0.6371905502000004,
+                "p95": 0.6428783591000012,
+                "p99": 0.647428606220002,
                 "values": [
-                    0.6744821350000052,
-                    0.5467945139999983
+                    0.6485661680000021,
+                    0.5348099899999852
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 6.550522362439747
+                "value": 6.760318725299252
             },
             "energy": null,
             "efficiency": null
@@ -170,7 +170,7 @@
         "train": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 2509.438976,
+                "max_ram": 2493.530112,
                 "max_global_vram": null,
                 "max_process_vram": null,
                 "max_reserved": null,
@@ -179,22 +179,22 @@
             "latency": {
                 "unit": "s",
                 "count": 3,
-                "total": 1.6713864949999788,
-                "mean": 0.5571288316666596,
-                "stdev": 0.007858802300655915,
-                "p50": 0.5550115589999791,
-                "p90": 0.5651112925999883,
-                "p95": 0.5663737592999893,
-                "p99": 0.5673837326599903,
+                "total": 1.6543233310000005,
+                "mean": 0.5514411103333335,
+                "stdev": 0.027064116166507512,
+                "p50": 0.533876470999985,
+                "p90": 0.5785141694000231,
+                "p95": 0.5840938817000279,
+                "p99": 0.5885576515400317,
                 "values": [
-                    0.5550115589999791,
-                    0.5676362259999905,
-                    0.5487387100000092
+                    0.533876470999985,
+                    0.5896735940000326,
+                    0.5307732659999829
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 10.769501879934856
+                "value": 10.880581602581529
             },
             "energy": null,
             "efficiency": null