Upload cuda_training_transformers_multiple-choice_FacebookAI/roberta-base/benchmark.json with huggingface_hub

cuda_training_transformers_multiple-choice_FacebookAI/roberta-base/benchmark.json

@@ -91,7 +91,7 @@
             "gpu_count": 1,
             "gpu_vram_mb": 68702699520,
             "optimum_benchmark_version": "0.3.1",
-            "optimum_benchmark_commit": "bf00581ca84403c7aba5a4a8f646e796f7b72599",
+            "optimum_benchmark_commit": "c895bf73a88625eb69457460ea71175ef52a6cb9",
             "transformers_version": "4.42.3",
             "transformers_commit": null,
             "accelerate_version": "0.32.1",
@@ -110,33 +110,33 @@
         "overall": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 1132.68736,
-                "max_global_vram": 3148.873728,
-                "max_process_vram": 250109.825024,
+                "max_ram": 1259.515904,
+                "max_global_vram": 3149.299712,
+                "max_process_vram": 232954.761216,
                 "max_reserved": 2707.423232,
                 "max_allocated": 2497.88416
             },
             "latency": {
                 "unit": "s",
                 "count": 5,
-                "total": 0.71987508392334,
-                "mean": 0.143975016784668,
-                "stdev": 0.19499425632930617,
-                "p50": 0.04662383651733398,
-                "p90": 0.33934703826904306,
-                "p95": 0.4366545066833496,
-                "p99": 0.514500481414795,
+                "total": 0.6710395050048827,
+                "mean": 0.13420790100097654,
+                "stdev": 0.1754758359373034,
+                "p50": 0.046446563720703125,
+                "p90": 0.3103029556274415,
+                "p95": 0.3977292213439941,
+                "p99": 0.46767023391723633,
                 "values": [
-                    0.5339619750976563,
-                    0.04742463302612305,
-                    0.04662383651733398,
-                    0.04589680099487305,
-                    0.04596783828735351
+                    0.4851554870605469,
+                    0.048024158477783206,
+                    0.045748008728027346,
+                    0.046446563720703125,
+                    0.04566528701782226
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 69.45649476781243
+                "value": 74.51126144896072
             },
             "energy": null,
             "efficiency": null
@@ -144,30 +144,30 @@
         "warmup": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 1132.68736,
-                "max_global_vram": 3148.873728,
-                "max_process_vram": 250109.825024,
+                "max_ram": 1259.515904,
+                "max_global_vram": 3149.299712,
+                "max_process_vram": 232954.761216,
                 "max_reserved": 2707.423232,
                 "max_allocated": 2497.88416
             },
             "latency": {
                 "unit": "s",
                 "count": 2,
-                "total": 0.5813866081237794,
-                "mean": 0.2906933040618897,
-                "stdev": 0.24326867103576663,
-                "p50": 0.29069330406188965,
-                "p90": 0.485308240890503,
-                "p95": 0.5096351079940796,
-                "p99": 0.529096601676941,
+                "total": 0.5331796455383301,
+                "mean": 0.26658982276916504,
+                "stdev": 0.21856566429138186,
+                "p50": 0.26658982276916504,
+                "p90": 0.4414423542022705,
+                "p95": 0.4632989206314087,
+                "p99": 0.48078417377471927,
                 "values": [
-                    0.5339619750976563,
-                    0.04742463302612305
+                    0.4851554870605469,
+                    0.048024158477783206
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 13.760206871322998
+                "value": 15.004323715176188
             },
             "energy": null,
             "efficiency": null
@@ -175,31 +175,31 @@
         "train": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 1132.68736,
-                "max_global_vram": 3148.873728,
-                "max_process_vram": 250109.825024,
+                "max_ram": 1259.515904,
+                "max_global_vram": 3149.299712,
+                "max_process_vram": 232954.761216,
                 "max_reserved": 2707.423232,
                 "max_allocated": 2497.88416
             },
             "latency": {
                 "unit": "s",
                 "count": 3,
-                "total": 0.13848847579956053,
-                "mean": 0.04616282526652018,
-                "stdev": 0.00032727165501401494,
-                "p50": 0.04596783828735351,
-                "p90": 0.04649263687133789,
-                "p95": 0.04655823669433594,
-                "p99": 0.046610716552734376,
+                "total": 0.13785985946655274,
+                "mean": 0.045953286488850914,
+                "stdev": 0.0003504307263284717,
+                "p50": 0.045748008728027346,
+                "p90": 0.04630685272216797,
+                "p95": 0.046376708221435546,
+                "p99": 0.04643259262084961,
                 "values": [
-                    0.04662383651733398,
-                    0.04589680099487305,
-                    0.04596783828735351
+                    0.045748008728027346,
+                    0.046446563720703125,
+                    0.04566528701782226
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 129.97471375200968
+                "value": 130.5673752290972
             },
             "energy": null,
             "efficiency": null