Upload cuda_training_transformers_token-classification_microsoft/deberta-v3-base/benchmark.json with huggingface_hub

cuda_training_transformers_token-classification_microsoft/deberta-v3-base/benchmark.json

@@ -88,7 +88,7 @@
             "gpu_count": 1,
             "gpu_vram_mb": 68702699520,
             "optimum_benchmark_version": "0.2.0",
-            "optimum_benchmark_commit": "c08a62a8b686d201c33b94256f220dd9ac7afa59",
+            "optimum_benchmark_commit": "4aa72a2fd35e7d46a674935ffaf335b1c0795600",
             "transformers_version": "4.40.2",
             "transformers_commit": null,
             "accelerate_version": "0.30.1",
@@ -107,33 +107,33 @@
         "overall": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 1143.05024,
-                "max_global_vram": 4373.25824,
-                "max_process_vram": 485590.65088,
+                "max_ram": 1142.747136,
+                "max_global_vram": 4882.649088,
+                "max_process_vram": 469792.231424,
                 "max_reserved": 3919.577088,
                 "max_allocated": 3695.353344
             },
             "latency": {
                 "unit": "s",
                 "count": 5,
-                "total": 0.9322547760009766,
-                "mean": 0.18645095520019533,
-                "stdev": 0.2230459155746134,
-                "p50": 0.07430985260009766,
-                "p90": 0.41026156921386725,
-                "p95": 0.5213999801635741,
-                "p99": 0.6103107089233398,
+                "total": 0.8641635360717773,
+                "mean": 0.17283270721435545,
+                "stdev": 0.20365001746689565,
+                "p50": 0.07125014495849609,
+                "p90": 0.3767388763427735,
+                "p95": 0.47843538665771473,
+                "p99": 0.5597925949096679,
                 "values": [
-                    0.6325383911132813,
-                    0.0768463363647461,
-                    0.07428137969970704,
-                    0.07427881622314453,
-                    0.07430985260009766
+                    0.5801318969726562,
+                    0.07164934539794922,
+                    0.07056135559082032,
+                    0.07125014495849609,
+                    0.07057079315185547
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 53.63340718347536
+                "value": 57.8594188633377
             },
             "energy": null,
             "efficiency": null
@@ -141,30 +141,30 @@
         "warmup": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 1143.05024,
-                "max_global_vram": 4373.25824,
-                "max_process_vram": 485590.65088,
+                "max_ram": 1142.747136,
+                "max_global_vram": 4882.649088,
+                "max_process_vram": 469792.231424,
                 "max_reserved": 3919.577088,
                 "max_allocated": 3695.353344
             },
             "latency": {
                 "unit": "s",
                 "count": 2,
-                "total": 0.7093847274780274,
-                "mean": 0.3546923637390137,
-                "stdev": 0.27784602737426756,
-                "p50": 0.3546923637390137,
-                "p90": 0.5769691856384278,
-                "p95": 0.6047537883758545,
-                "p99": 0.6269814705657959,
+                "total": 0.6517812423706054,
+                "mean": 0.3258906211853027,
+                "stdev": 0.2542412757873535,
+                "p50": 0.3258906211853027,
+                "p90": 0.5292836418151855,
+                "p95": 0.5547077693939209,
+                "p99": 0.5750470714569091,
                 "values": [
-                    0.6325383911132813,
-                    0.0768463363647461
+                    0.5801318969726562,
+                    0.07164934539794922
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 11.277378395840632
+                "value": 12.27405681529443
             },
             "energy": null,
             "efficiency": null
@@ -172,31 +172,31 @@
         "train": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 1143.05024,
-                "max_global_vram": 4373.25824,
-                "max_process_vram": 485590.65088,
+                "max_ram": 1142.747136,
+                "max_global_vram": 4882.649088,
+                "max_process_vram": 469792.231424,
                 "max_reserved": 3919.577088,
                 "max_allocated": 3695.353344
             },
             "latency": {
                 "unit": "s",
                 "count": 3,
-                "total": 0.22287004852294923,
-                "mean": 0.07429001617431641,
-                "stdev": 1.406545872822249e-05,
-                "p50": 0.07428137969970704,
-                "p90": 0.07430415802001954,
-                "p95": 0.0743070053100586,
-                "p99": 0.07430928314208984,
+                "total": 0.21238229370117187,
+                "mean": 0.07079409790039062,
+                "stdev": 0.0003224969832360821,
+                "p50": 0.07057079315185547,
+                "p90": 0.07111427459716796,
+                "p95": 0.07118220977783203,
+                "p99": 0.07123655792236327,
                 "values": [
-                    0.07428137969970704,
-                    0.07427881622314453,
-                    0.07430985260009766
+                    0.07056135559082032,
+                    0.07125014495849609,
+                    0.07057079315185547
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 80.76455369078684
+                "value": 84.75282796091528
             },
             "energy": null,
             "efficiency": null