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

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

@@ -3,7 +3,7 @@
         "name": "cpu_training_transformers_token-classification_microsoft/deberta-v3-base",
         "backend": {
             "name": "pytorch",
-            "version": "2.4.0+cpu",
+            "version": "2.4.1+cpu",
             "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
             "task": "token-classification",
             "library": "transformers",
@@ -86,7 +86,7 @@
             "processor": "x86_64",
             "python_version": "3.10.14",
             "optimum_benchmark_version": "0.4.0",
-            "optimum_benchmark_commit": "505086556c6e125f92759cd19b806135534e5ab3",
+            "optimum_benchmark_commit": "ea76e356b5c355783ee27d2d429a010ded791f8b",
             "transformers_version": "4.44.2",
             "transformers_commit": null,
             "accelerate_version": "0.34.0",
@@ -105,7 +105,7 @@
         "overall": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 4430.635008,
+                "max_ram": 4422.107136,
                 "max_global_vram": null,
                 "max_process_vram": null,
                 "max_reserved": null,
@@ -114,24 +114,24 @@
             "latency": {
                 "unit": "s",
                 "count": 5,
-                "total": 6.0475005590000706,
-                "mean": 1.2095001118000142,
-                "stdev": 0.07577580037415421,
-                "p50": 1.174841597000011,
-                "p90": 1.299753637200024,
-                "p95": 1.3251275596000256,
-                "p99": 1.3454266975200266,
+                "total": 6.227746084000046,
+                "mean": 1.245549216800009,
+                "stdev": 0.16871566579474234,
+                "p50": 1.1671946769999977,
+                "p90": 1.4167571264000003,
+                "p95": 1.4996775802000002,
+                "p99": 1.5660139432400002,
                 "values": [
-                    1.350501482000027,
-                    1.1584955650000097,
-                    1.2236318700000197,
-                    1.1400300450000032,
-                    1.174841597000011
+                    1.582598034,
+                    1.1640066250000132,
+                    1.1671946769999977,
+                    1.1679957650000006,
+                    1.1459509830000343
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 8.267878524721839
+                "value": 8.028586799397141
             },
             "energy": null,
             "efficiency": null
@@ -139,7 +139,7 @@
         "warmup": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 4430.635008,
+                "max_ram": 4422.107136,
                 "max_global_vram": null,
                 "max_process_vram": null,
                 "max_reserved": null,
@@ -148,21 +148,21 @@
             "latency": {
                 "unit": "s",
                 "count": 2,
-                "total": 2.5089970470000367,
-                "mean": 1.2544985235000183,
-                "stdev": 0.09600295850000862,
-                "p50": 1.2544985235000183,
-                "p90": 1.3313008903000252,
-                "p95": 1.3409011861500262,
-                "p99": 1.3485814228300268,
+                "total": 2.7466046590000133,
+                "mean": 1.3733023295000066,
+                "stdev": 0.20929570449999346,
+                "p50": 1.3733023295000066,
+                "p90": 1.5407388931000014,
+                "p95": 1.5616684635500007,
+                "p99": 1.5784121199100003,
                 "values": [
-                    1.350501482000027,
-                    1.1584955650000097
+                    1.582598034,
+                    1.1640066250000132
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 3.1885250760121293
+                "value": 2.912687114902313
             },
             "energy": null,
             "efficiency": null
@@ -170,7 +170,7 @@
         "train": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 4430.635008,
+                "max_ram": 4422.107136,
                 "max_global_vram": null,
                 "max_process_vram": null,
                 "max_reserved": null,
@@ -179,22 +179,22 @@
             "latency": {
                 "unit": "s",
                 "count": 3,
-                "total": 3.538503512000034,
-                "mean": 1.179501170666678,
-                "stdev": 0.03428896815692253,
-                "p50": 1.174841597000011,
-                "p90": 1.213873815400018,
-                "p95": 1.218752842700019,
-                "p99": 1.2226560645400195,
+                "total": 3.4811414250000325,
+                "mean": 1.1603804750000108,
+                "stdev": 0.010208431646731306,
+                "p50": 1.1671946769999977,
+                "p90": 1.1678355474,
+                "p95": 1.1679156562000004,
+                "p99": 1.1679797432400005,
                 "values": [
-                    1.2236318700000197,
-                    1.1400300450000032,
-                    1.174841597000011
+                    1.1671946769999977,
+                    1.1679957650000006,
+                    1.1459509830000343
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 5.086896180534249
+                "value": 5.170717819946034
             },
             "energy": null,
             "efficiency": null