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": "f6013cec1a849341c31271831560b1681406c092",
+            "optimum_benchmark_commit": "79990507b694d513bac81e140baff3af23a6bff7",
             "transformers_version": "4.42.3",
             "transformers_commit": null,
             "accelerate_version": "0.31.0",
@@ -110,33 +110,33 @@
         "overall": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 1123.708928,
-                "max_global_vram": 2953.211904,
-                "max_process_vram": 269618.622464,
+                "max_ram": 1123.344384,
+                "max_global_vram": 67479.117824,
+                "max_process_vram": 275222.07744,
                 "max_reserved": 2497.708032,
                 "max_allocated": 2195.345408
             },
             "latency": {
                 "unit": "s",
                 "count": 5,
-                "total": 0.7052408714294434,
-                "mean": 0.14104817428588867,
-                "stdev": 0.19948074769827168,
-                "p50": 0.04124820327758789,
-                "p90": 0.3407220352172852,
-                "p95": 0.4403656867980956,
-                "p99": 0.5200806080627441,
+                "total": 0.692561164855957,
+                "mean": 0.1385122329711914,
+                "stdev": 0.1948223825139819,
+                "p50": 0.04154355239868164,
+                "p90": 0.33396796264648443,
+                "p95": 0.43105993957519523,
+                "p99": 0.5087335211181641,
                 "values": [
-                    0.5400093383789063,
-                    0.04179108047485352,
-                    0.04124820327758789,
-                    0.04113924407958985,
-                    0.04105300521850586
+                    0.5281519165039062,
+                    0.04037459182739258,
+                    0.039799072265625,
+                    0.04154355239868164,
+                    0.04269203186035156
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 70.89776277239245
+                "value": 72.19578939341669
             },
             "energy": null,
             "efficiency": null
@@ -144,30 +144,30 @@
         "warmup": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 1123.708928,
-                "max_global_vram": 2953.211904,
-                "max_process_vram": 269618.622464,
+                "max_ram": 1123.344384,
+                "max_global_vram": 67479.117824,
+                "max_process_vram": 275222.07744,
                 "max_reserved": 2497.708032,
                 "max_allocated": 2195.345408
             },
             "latency": {
                 "unit": "s",
                 "count": 2,
-                "total": 0.5818004188537598,
-                "mean": 0.2909002094268799,
-                "stdev": 0.2491091289520264,
-                "p50": 0.2909002094268799,
-                "p90": 0.490187512588501,
-                "p95": 0.5150984254837037,
-                "p99": 0.5350271557998658,
+                "total": 0.5685265083312988,
+                "mean": 0.2842632541656494,
+                "stdev": 0.24388866233825682,
+                "p50": 0.2842632541656494,
+                "p90": 0.47937418403625487,
+                "p95": 0.5037630502700805,
+                "p99": 0.5232741432571411,
                 "values": [
-                    0.5400093383789063,
-                    0.04179108047485352
+                    0.5281519165039062,
+                    0.04037459182739258
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 13.750419801624213
+                "value": 14.07146348106277
             },
             "energy": null,
             "efficiency": null
@@ -175,31 +175,31 @@
         "train": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 1123.708928,
-                "max_global_vram": 2953.211904,
-                "max_process_vram": 269618.622464,
+                "max_ram": 1123.344384,
+                "max_global_vram": 67479.117824,
+                "max_process_vram": 275222.07744,
                 "max_reserved": 2497.708032,
                 "max_allocated": 2195.345408
             },
             "latency": {
                 "unit": "s",
                 "count": 3,
-                "total": 0.12344045257568359,
-                "mean": 0.04114681752522786,
-                "stdev": 7.986901099705445e-05,
-                "p50": 0.04113924407958985,
-                "p90": 0.04122641143798828,
-                "p95": 0.041237307357788085,
-                "p99": 0.041246024093627924,
+                "total": 0.1240346565246582,
+                "mean": 0.0413448855082194,
+                "stdev": 0.0011893710394446772,
+                "p50": 0.04154355239868164,
+                "p90": 0.04246233596801757,
+                "p95": 0.042577183914184566,
+                "p99": 0.04266906227111816,
                 "values": [
-                    0.04124820327758789,
-                    0.04113924407958985,
-                    0.04105300521850586
+                    0.039799072265625,
+                    0.04154355239868164,
+                    0.04269203186035156
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 145.81929687080392
+                "value": 145.12073080495517
             },
             "energy": null,
             "efficiency": null