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

@@ -77,14 +77,14 @@
         "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-6.5.0-1022-azure-x86_64-with-glibc2.35",
             "processor": "x86_64",
             "python_version": "3.10.14",
             "optimum_benchmark_version": "0.2.1",
-            "optimum_benchmark_commit": "156844ab796ad7cf3da92a0bf30b174d1bcc0aa5",
+            "optimum_benchmark_commit": "88e73025c13ec1a964328bd3aa8fa3b1b8ab2582",
             "transformers_version": "4.42.3",
             "transformers_commit": null,
             "accelerate_version": "0.31.0",
@@ -103,7 +103,7 @@
         "overall": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 2475.6224,
+                "max_ram": 2480.615424,
                 "max_global_vram": null,
                 "max_process_vram": null,
                 "max_reserved": null,
@@ -112,24 +112,24 @@
             "latency": {
                 "unit": "s",
                 "count": 5,
-                "total": 2.775410297000036,
-                "mean": 0.5550820594000072,
-                "stdev": 0.0435715012570193,
-                "p50": 0.5358765080000012,
-                "p90": 0.6011004868000043,
-                "p95": 0.6213980633999995,
-                "p99": 0.6376361246799956,
+                "total": 2.8426524309999763,
+                "mean": 0.5685304861999952,
+                "stdev": 0.03974235231223903,
+                "p50": 0.5505031609999946,
+                "p90": 0.6090775857999973,
+                "p95": 0.6284417703999964,
+                "p99": 0.6439331180799956,
                 "values": [
-                    0.6416956399999947,
-                    0.5402077570000188,
-                    0.5256158239999991,
-                    0.5358765080000012,
-                    0.5320145680000223
+                    0.6478059549999955,
+                    0.5505031609999946,
+                    0.5431518949999941,
+                    0.5502063879999923,
+                    0.5509850319999998
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 18.015354361856122
+                "value": 17.58920628309498
             },
             "energy": null,
             "efficiency": null
@@ -137,7 +137,7 @@
         "warmup": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 2475.6224,
+                "max_ram": 2480.615424,
                 "max_global_vram": null,
                 "max_process_vram": null,
                 "max_reserved": null,
@@ -146,21 +146,21 @@
             "latency": {
                 "unit": "s",
                 "count": 2,
-                "total": 1.1819033970000135,
-                "mean": 0.5909516985000067,
-                "stdev": 0.050743941499987955,
-                "p50": 0.5909516985000067,
-                "p90": 0.6315468516999971,
-                "p95": 0.6366212458499959,
-                "p99": 0.640680761169995,
+                "total": 1.1983091159999901,
+                "mean": 0.5991545579999951,
+                "stdev": 0.04865139700000043,
+                "p50": 0.5991545579999951,
+                "p90": 0.6380756755999955,
+                "p95": 0.6429408152999955,
+                "p99": 0.6468329270599955,
                 "values": [
-                    0.6416956399999947,
-                    0.5402077570000188
+                    0.6478059549999955,
+                    0.5505031609999946
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 6.768742707996387
+                "value": 6.676073721865992
             },
             "energy": null,
             "efficiency": null
@@ -168,7 +168,7 @@
         "train": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 2475.6224,
+                "max_ram": 2480.615424,
                 "max_global_vram": null,
                 "max_process_vram": null,
                 "max_reserved": null,
@@ -177,22 +177,22 @@
             "latency": {
                 "unit": "s",
                 "count": 3,
-                "total": 1.5935069000000226,
-                "mean": 0.5311689666666742,
-                "stdev": 0.004231366229182173,
-                "p50": 0.5320145680000223,
-                "p90": 0.5351041200000054,
-                "p95": 0.5354903140000034,
-                "p99": 0.5357992692000016,
+                "total": 1.6443433149999862,
+                "mean": 0.5481144383333287,
+                "stdev": 0.003523416795394802,
+                "p50": 0.5502063879999923,
+                "p90": 0.5508293031999983,
+                "p95": 0.550907167599999,
+                "p99": 0.5509694591199996,
                 "values": [
-                    0.5256158239999991,
-                    0.5358765080000012,
-                    0.5320145680000223
+                    0.5431518949999941,
+                    0.5502063879999923,
+                    0.5509850319999998
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 11.295840639284174
+                "value": 10.946619137135697
             },
             "energy": null,
             "efficiency": null