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

cuda_training_transformers_multiple-choice_FacebookAI/roberta-base/benchmark.json

@@ -88,7 +88,7 @@
             "gpu_count": 1,
             "gpu_vram_mb": 68702699520,
             "optimum_benchmark_version": "0.2.0",
-            "optimum_benchmark_commit": "2d3261cf9b992810a685ce736f41254a91cd091e",
+            "optimum_benchmark_commit": "b0a0b933f18d5fa56eadb290a26cc2099f2dd4d8",
             "transformers_version": "4.40.2",
             "transformers_commit": null,
             "accelerate_version": "0.30.1",
@@ -107,33 +107,33 @@
         "overall": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 1124.70016,
-                "max_global_vram": 3149.012992,
-                "max_process_vram": 316412.346368,
+                "max_ram": 1125.363712,
+                "max_global_vram": 4038.848512,
+                "max_process_vram": 318634.315776,
                 "max_reserved": 2707.423232,
                 "max_allocated": 2497.88416
             },
             "latency": {
                 "unit": "s",
                 "count": 5,
-                "total": 0.74418363571167,
-                "mean": 0.148836727142334,
-                "stdev": 0.2113450172962289,
-                "p50": 0.043050815582275394,
-                "p90": 0.360516423034668,
-                "p95": 0.4660211204528808,
-                "p99": 0.5504248783874512,
+                "total": 0.762655433654785,
+                "mean": 0.152531086730957,
+                "stdev": 0.21753720381997763,
+                "p50": 0.044053123474121096,
+                "p90": 0.3702370269775391,
+                "p95": 0.4789209426879881,
+                "p99": 0.5658680752563476,
                 "values": [
-                    0.5715258178710938,
-                    0.0440023307800293,
-                    0.042701854705810546,
-                    0.043050815582275394,
-                    0.04290281677246094
+                    0.5876048583984375,
+                    0.04418527984619141,
+                    0.04370144271850586,
+                    0.043110729217529294,
+                    0.044053123474121096
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 67.18771765544739
+                "value": 65.56040617240582
             },
             "energy": null,
             "efficiency": null
@@ -141,30 +141,30 @@
         "warmup": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 1124.70016,
-                "max_global_vram": 3149.012992,
-                "max_process_vram": 316412.346368,
+                "max_ram": 1125.363712,
+                "max_global_vram": 4038.848512,
+                "max_process_vram": 318634.315776,
                 "max_reserved": 2707.423232,
                 "max_allocated": 2497.88416
             },
             "latency": {
                 "unit": "s",
                 "count": 2,
-                "total": 0.615528148651123,
-                "mean": 0.3077640743255615,
-                "stdev": 0.2637617435455322,
-                "p50": 0.3077640743255615,
-                "p90": 0.5187734691619874,
-                "p95": 0.5451496435165406,
-                "p99": 0.5662505830001832,
+                "total": 0.6317901382446288,
+                "mean": 0.3158950691223144,
+                "stdev": 0.271709789276123,
+                "p50": 0.3158950691223144,
+                "p90": 0.5332629005432129,
+                "p95": 0.5604338794708251,
+                "p99": 0.582170662612915,
                 "values": [
-                    0.5715258178710938,
-                    0.0440023307800293
+                    0.5876048583984375,
+                    0.04418527984619141
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 12.996968566801229
+                "value": 12.662432532149472
             },
             "energy": null,
             "efficiency": null
@@ -172,31 +172,31 @@
         "train": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 1124.70016,
-                "max_global_vram": 3149.012992,
-                "max_process_vram": 316412.346368,
+                "max_ram": 1125.363712,
+                "max_global_vram": 4038.848512,
+                "max_process_vram": 318634.315776,
                 "max_reserved": 2707.423232,
                 "max_allocated": 2497.88416
             },
             "latency": {
                 "unit": "s",
                 "count": 3,
-                "total": 0.12865548706054689,
-                "mean": 0.04288516235351563,
-                "stdev": 0.00014300858297552422,
-                "p50": 0.04290281677246094,
-                "p90": 0.0430212158203125,
-                "p95": 0.04303601570129395,
-                "p99": 0.043047855606079106,
+                "total": 0.13086529541015626,
+                "mean": 0.043621765136718754,
+                "stdev": 0.00038883425903066135,
+                "p50": 0.04370144271850586,
+                "p90": 0.04398278732299805,
+                "p95": 0.04401795539855957,
+                "p99": 0.04404608985900879,
                 "values": [
-                    0.042701854705810546,
-                    0.043050815582275394,
-                    0.04290281677246094
+                    0.04370144271850586,
+                    0.043110729217529294,
+                    0.044053123474121096
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 139.90852944755457
+                "value": 137.54601587521458
             },
             "energy": null,
             "efficiency": null