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

@@ -92,7 +92,7 @@
             "gpu_count": 1,
             "gpu_vram_mb": 68702699520,
             "optimum_benchmark_version": "0.3.1",
-            "optimum_benchmark_commit": "bc46022225a5818a4648ee2abeffdd38c4a9b291",
+            "optimum_benchmark_commit": "2a33a472f309c43b5bd16946ef9cec843d02f70a",
             "transformers_version": "4.42.4",
             "transformers_commit": null,
             "accelerate_version": "0.32.1",
@@ -111,33 +111,33 @@
         "overall": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 1152.892928,
-                "max_global_vram": 4373.241856,
-                "max_process_vram": 475047.563264,
+                "max_ram": 1152.974848,
+                "max_global_vram": 4373.213184,
+                "max_process_vram": 446590.877696,
                 "max_reserved": 3919.577088,
                 "max_allocated": 3695.353344
             },
             "latency": {
                 "unit": "s",
                 "count": 5,
-                "total": 0.9056913986206054,
-                "mean": 0.18113827972412108,
-                "stdev": 0.2050965281184627,
-                "p50": 0.07983316802978516,
-                "p90": 0.38689257812500005,
-                "p95": 0.4891074218749999,
-                "p99": 0.5708792968749999,
+                "total": 0.8866018142700196,
+                "mean": 0.17732036285400393,
+                "stdev": 0.20520075849328168,
+                "p50": 0.07486451721191406,
+                "p90": 0.3831220001220703,
+                "p95": 0.4854198257446288,
+                "p99": 0.5672580862426757,
                 "values": [
-                    0.591322265625,
-                    0.080248046875,
-                    0.07983316802978516,
-                    0.07778611755371094,
-                    0.07650180053710938
+                    0.5877176513671875,
+                    0.07486451721191406,
+                    0.0733114013671875,
+                    0.07447972106933594,
+                    0.07622852325439453
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 55.20644236673934
+                "value": 56.39510228294233
             },
             "energy": null,
             "efficiency": null
@@ -145,30 +145,30 @@
         "warmup": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 1152.892928,
-                "max_global_vram": 4373.241856,
-                "max_process_vram": 475047.563264,
+                "max_ram": 1152.974848,
+                "max_global_vram": 4373.213184,
+                "max_process_vram": 446590.877696,
                 "max_reserved": 3919.577088,
                 "max_allocated": 3695.353344
             },
             "latency": {
                 "unit": "s",
                 "count": 2,
-                "total": 0.6715703125,
-                "mean": 0.33578515625,
-                "stdev": 0.255537109375,
-                "p50": 0.33578515625,
-                "p90": 0.5402148437500001,
-                "p95": 0.5657685546875,
-                "p99": 0.5862115234375,
+                "total": 0.6625821685791016,
+                "mean": 0.3312910842895508,
+                "stdev": 0.2564265670776367,
+                "p50": 0.3312910842895508,
+                "p90": 0.5364323379516601,
+                "p95": 0.5620749946594238,
+                "p99": 0.5825891200256347,
                 "values": [
-                    0.591322265625,
-                    0.080248046875
+                    0.5877176513671875,
+                    0.07486451721191406
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 11.912378869487325
+                "value": 12.073974186712405
             },
             "energy": null,
             "efficiency": null
@@ -176,31 +176,31 @@
         "train": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 1152.892928,
-                "max_global_vram": 4373.241856,
-                "max_process_vram": 475047.563264,
+                "max_ram": 1152.974848,
+                "max_global_vram": 4373.213184,
+                "max_process_vram": 446590.877696,
                 "max_reserved": 3919.577088,
                 "max_allocated": 3695.353344
             },
             "latency": {
                 "unit": "s",
                 "count": 3,
-                "total": 0.23412108612060545,
-                "mean": 0.07804036204020182,
-                "stdev": 0.001371855808020042,
-                "p50": 0.07778611755371094,
-                "p90": 0.07942375793457031,
-                "p95": 0.07962846298217774,
-                "p99": 0.07979222702026367,
+                "total": 0.22401964569091795,
+                "mean": 0.07467321523030598,
+                "stdev": 0.0011987437921848845,
+                "p50": 0.07447972106933594,
+                "p90": 0.0758787628173828,
+                "p95": 0.07605364303588867,
+                "p99": 0.07619354721069335,
                 "values": [
-                    0.07983316802978516,
-                    0.07778611755371094,
-                    0.07650180053710938
+                    0.0733114013671875,
+                    0.07447972106933594,
+                    0.07622852325439453
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 76.88329273650925
+                "value": 80.35009583416078
             },
             "energy": null,
             "efficiency": null