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

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

@@ -91,7 +91,7 @@
             "gpu_count": 1,
             "gpu_vram_mb": 68702699520,
             "optimum_benchmark_version": "0.3.1",
-            "optimum_benchmark_commit": "dcd8d39eb1efde5484c10fe67e911bfe5a0711c9",
+            "optimum_benchmark_commit": "8bf68d01ce920e01ece8935a1cc6d7e3f17c2d2b",
             "transformers_version": "4.42.4",
             "transformers_commit": null,
             "accelerate_version": "0.32.1",
@@ -110,33 +110,33 @@
         "overall": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 1135.476736,
-                "max_global_vram": 2953.17504,
-                "max_process_vram": 347026.796544,
+                "max_ram": 1135.505408,
+                "max_global_vram": 2953.187328,
+                "max_process_vram": 334421.15584,
                 "max_reserved": 2497.708032,
                 "max_allocated": 2195.345408
             },
             "latency": {
                 "unit": "s",
                 "count": 5,
-                "total": 0.7561606330871582,
-                "mean": 0.15123212661743163,
-                "stdev": 0.2144543390066039,
-                "p50": 0.04414200973510742,
-                "p90": 0.3659754623413087,
-                "p95": 0.47305770797729485,
-                "p99": 0.558723504486084,
+                "total": 0.7862773666381835,
+                "mean": 0.1572554733276367,
+                "stdev": 0.22258216607502274,
+                "p50": 0.04700625610351562,
+                "p90": 0.38038115234375003,
+                "p95": 0.4913978515624998,
+                "p99": 0.5802112109374999,
                 "values": [
-                    0.5801399536132813,
-                    0.04472872543334961,
-                    0.04414200973510742,
-                    0.04358281326293945,
-                    0.043567131042480466
+                    0.60241455078125,
+                    0.0473310546875,
+                    0.044704193115234374,
+                    0.04700625610351562,
+                    0.0448213119506836
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 66.12351636961878
+                "value": 63.590791394365795
             },
             "energy": null,
             "efficiency": null
@@ -144,30 +144,30 @@
         "warmup": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 1135.476736,
-                "max_global_vram": 2953.17504,
-                "max_process_vram": 347026.796544,
+                "max_ram": 1135.505408,
+                "max_global_vram": 2953.187328,
+                "max_process_vram": 334421.15584,
                 "max_reserved": 2497.708032,
                 "max_allocated": 2195.345408
             },
             "latency": {
                 "unit": "s",
                 "count": 2,
-                "total": 0.6248686790466309,
-                "mean": 0.31243433952331545,
-                "stdev": 0.26770561408996585,
-                "p50": 0.31243433952331545,
-                "p90": 0.5265988307952881,
-                "p95": 0.5533693922042847,
-                "p99": 0.574785841331482,
+                "total": 0.6497456054687499,
+                "mean": 0.32487280273437497,
+                "stdev": 0.277541748046875,
+                "p50": 0.32487280273437497,
+                "p90": 0.5469062011718749,
+                "p95": 0.5746603759765624,
+                "p99": 0.5968637158203124,
                 "values": [
-                    0.5801399536132813,
-                    0.04472872543334961
+                    0.60241455078125,
+                    0.0473310546875
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 12.802690018334234
+                "value": 12.312511131535105
             },
             "energy": null,
             "efficiency": null
@@ -175,31 +175,31 @@
         "train": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 1135.476736,
-                "max_global_vram": 2953.17504,
-                "max_process_vram": 347026.796544,
+                "max_ram": 1135.505408,
+                "max_global_vram": 2953.187328,
+                "max_process_vram": 334421.15584,
                 "max_reserved": 2497.708032,
                 "max_allocated": 2195.345408
             },
             "latency": {
                 "unit": "s",
                 "count": 3,
-                "total": 0.13129195404052735,
-                "mean": 0.04376398468017578,
-                "stdev": 0.0002673807393046905,
-                "p50": 0.04358281326293945,
-                "p90": 0.04403017044067383,
-                "p95": 0.04408609008789063,
-                "p99": 0.04413082580566406,
+                "total": 0.13653176116943358,
+                "mean": 0.04551058705647786,
+                "stdev": 0.0010586779897917883,
+                "p50": 0.0448213119506836,
+                "p90": 0.046569267272949216,
+                "p95": 0.04678776168823242,
+                "p99": 0.04696255722045898,
                 "values": [
-                    0.04414200973510742,
-                    0.04358281326293945,
-                    0.043567131042480466
+                    0.044704193115234374,
+                    0.04700625610351562,
+                    0.0448213119506836
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 137.09903345976358
+                "value": 131.83745559146715
             },
             "energy": null,
             "efficiency": null