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

@@ -79,15 +79,15 @@
         "environment": {
             "cpu": " AMD EPYC 7763 64-Core Processor",
             "cpu_count": 4,
-            "cpu_ram_mb": 16766.7712,
+            "cpu_ram_mb": 16766.763008,
             "system": "Linux",
             "machine": "x86_64",
             "platform": "Linux-6.8.0-1014-azure-x86_64-with-glibc2.35",
             "processor": "x86_64",
             "python_version": "3.10.15",
             "optimum_benchmark_version": "0.5.0",
-            "optimum_benchmark_commit": "306b62b09358b573061bd4584566f747057b6e0f",
-            "transformers_version": "4.44.2",
+            "optimum_benchmark_commit": "da7a7adc61c6bf2e65157851160ed1216b6a5c9b",
+            "transformers_version": "4.45.0",
             "transformers_commit": null,
             "accelerate_version": "0.34.2",
             "accelerate_commit": null,
@@ -105,7 +105,7 @@
         "overall": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 4414.042112,
+                "max_ram": 4391.026688,
                 "max_global_vram": null,
                 "max_process_vram": null,
                 "max_reserved": null,
@@ -114,41 +114,41 @@
             "latency": {
                 "unit": "s",
                 "count": 5,
-                "total": 6.1464972170000465,
-                "mean": 1.2292994434000093,
-                "stdev": 0.06836770331353083,
-                "p50": 1.1986730160000434,
-                "p90": 1.3032263242,
-                "p95": 1.3339938525999968,
-                "p99": 1.3586078753199944,
+                "total": 6.076765159000047,
+                "mean": 1.2153530318000094,
+                "stdev": 0.07568720747718635,
+                "p50": 1.1855874130000075,
+                "p90": 1.3006605870000159,
+                "p95": 1.3315130540000155,
+                "p99": 1.3561950276000152,
                 "values": [
-                    1.364761380999994,
-                    1.1986730160000434,
-                    1.1841350939999984,
-                    1.210923739000009,
-                    1.1880039870000019
+                    1.3623655210000152,
+                    1.1557790489999888,
+                    1.1649299900000187,
+                    1.2081031860000166,
+                    1.1855874130000075
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 8.134714494250396
+                "value": 8.22806191974476
             },
             "energy": {
                 "unit": "kWh",
-                "cpu": 0.00025173748199444504,
-                "ram": 1.0528840507365454e-05,
+                "cpu": 0.0002483803792555563,
+                "ram": 1.0388368434844138e-05,
                 "gpu": 0,
-                "total": 0.0002622663225018105
+                "total": 0.0002587687476904004
             },
             "efficiency": {
                 "unit": "samples/kWh",
-                "value": 38129.180691626796
+                "value": 38644.54301090615
             }
         },
         "warmup": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 4414.042112,
+                "max_ram": 4391.026688,
                 "max_global_vram": null,
                 "max_process_vram": null,
                 "max_reserved": null,
@@ -157,21 +157,21 @@
             "latency": {
                 "unit": "s",
                 "count": 2,
-                "total": 2.5634343970000373,
-                "mean": 1.2817171985000186,
-                "stdev": 0.08304418249997525,
-                "p50": 1.2817171985000186,
-                "p90": 1.3481525444999989,
-                "p95": 1.3564569627499963,
-                "p99": 1.3631004973499943,
+                "total": 2.518144570000004,
+                "mean": 1.259072285000002,
+                "stdev": 0.10329323600001317,
+                "p50": 1.259072285000002,
+                "p90": 1.3417068738000126,
+                "p95": 1.352036197400014,
+                "p99": 1.360299656280015,
                 "values": [
-                    1.364761380999994,
-                    1.1986730160000434
+                    1.3623655210000152,
+                    1.1557790489999888
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 3.1208132376480253
+                "value": 3.176942299226286
             },
             "energy": null,
             "efficiency": null
@@ -179,7 +179,7 @@
         "train": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 4414.042112,
+                "max_ram": 4391.026688,
                 "max_global_vram": null,
                 "max_process_vram": null,
                 "max_reserved": null,
@@ -188,22 +188,22 @@
             "latency": {
                 "unit": "s",
                 "count": 3,
-                "total": 3.583062820000009,
-                "mean": 1.1943542733333363,
-                "stdev": 0.011822365178498167,
-                "p50": 1.1880039870000019,
-                "p90": 1.2063397886000076,
-                "p95": 1.2086317638000081,
-                "p99": 1.2104653439600088,
+                "total": 3.558620589000043,
+                "mean": 1.1862068630000142,
+                "stdev": 0.0176308253151583,
+                "p50": 1.1855874130000075,
+                "p90": 1.2036000314000148,
+                "p95": 1.2058516087000157,
+                "p99": 1.2076528705400165,
                 "values": [
-                    1.1841350939999984,
-                    1.210923739000009,
-                    1.1880039870000019
+                    1.1649299900000187,
+                    1.2081031860000166,
+                    1.1855874130000075
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 5.02363505867864
+                "value": 5.058139677952553
             },
             "energy": null,
             "efficiency": null