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

@@ -6,19 +6,17 @@
             "version": "2.3.0+cpu",
             "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
             "task": "token-classification",
-            "model": "microsoft/deberta-v3-base",
             "library": "transformers",
+            "model": "microsoft/deberta-v3-base",
+            "processor": "microsoft/deberta-v3-base",
             "device": "cpu",
             "device_ids": null,
             "seed": 42,
             "inter_op_num_threads": null,
             "intra_op_num_threads": null,
-            "hub_kwargs": {
-                "revision": "main",
-                "force_download": false,
-                "local_files_only": false,
-                "trust_remote_code": false
-            },
+            "model_kwargs": {},
+            "processor_kwargs": {},
+            "hub_kwargs": {},
             "no_weights": true,
             "device_map": null,
             "torch_dtype": null,
@@ -76,14 +74,14 @@
         "environment": {
             "cpu": " AMD EPYC 7763 64-Core Processor",
             "cpu_count": 4,
-            "cpu_ram_mb": 16757.346304,
+            "cpu_ram_mb": 16757.342208,
             "system": "Linux",
             "machine": "x86_64",
             "platform": "Linux-6.5.0-1018-azure-x86_64-with-glibc2.35",
             "processor": "x86_64",
             "python_version": "3.10.14",
             "optimum_benchmark_version": "0.2.0",
-            "optimum_benchmark_commit": "d35829e539df8480b726c647eeabf91e41eae047",
+            "optimum_benchmark_commit": "a8ccb91469272f9f38883fbf3e14bffcd5e95f2d",
             "transformers_version": "4.40.2",
             "transformers_commit": null,
             "accelerate_version": "0.30.0",
@@ -102,7 +100,7 @@
         "overall": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 4394.65984,
+                "max_ram": 4398.665728,
                 "max_global_vram": null,
                 "max_process_vram": null,
                 "max_reserved": null,
@@ -111,24 +109,24 @@
             "latency": {
                 "unit": "s",
                 "count": 5,
-                "total": 5.992529546000014,
-                "mean": 1.1985059092000028,
-                "stdev": 0.08276938797504928,
-                "p50": 1.1606585189999805,
-                "p90": 1.2828737523999962,
-                "p95": 1.3233321552000006,
-                "p99": 1.3556988774400043,
+                "total": 5.856260854000084,
+                "mean": 1.1712521708000168,
+                "stdev": 0.0774641432383148,
+                "p50": 1.1427077289999943,
+                "p90": 1.2581743792000224,
+                "p95": 1.2898018496000077,
+                "p99": 1.3151038259199959,
                 "values": [
-                    1.3637905580000051,
-                    1.1579861710000046,
-                    1.1614985439999828,
-                    1.1485957540000413,
-                    1.1606585189999805
+                    1.321429319999993,
+                    1.1632919680000668,
+                    1.121879904000025,
+                    1.1069519330000048,
+                    1.1427077289999943
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 8.343721898438494
+                "value": 8.537871048870338
             },
             "energy": null,
             "efficiency": null
@@ -136,7 +134,7 @@
         "warmup": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 4394.65984,
+                "max_ram": 4398.665728,
                 "max_global_vram": null,
                 "max_process_vram": null,
                 "max_reserved": null,
@@ -145,21 +143,21 @@
             "latency": {
                 "unit": "s",
                 "count": 2,
-                "total": 2.5217767290000097,
-                "mean": 1.2608883645000049,
-                "stdev": 0.1029021935000003,
-                "p50": 1.2608883645000049,
-                "p90": 1.343210119300005,
-                "p95": 1.353500338650005,
-                "p99": 1.3617325141300052,
+                "total": 2.4847212880000598,
+                "mean": 1.2423606440000299,
+                "stdev": 0.07906867599996303,
+                "p50": 1.2423606440000299,
+                "p90": 1.3056155848000004,
+                "p95": 1.3135224523999967,
+                "p99": 1.3198479464799937,
                 "values": [
-                    1.3637905580000051,
-                    1.1579861710000046
+                    1.321429319999993,
+                    1.1632919680000668
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 3.1723664938300606
+                "value": 3.219677007089661
             },
             "energy": null,
             "efficiency": null
@@ -167,7 +165,7 @@
         "train": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 4394.65984,
+                "max_ram": 4398.665728,
                 "max_global_vram": null,
                 "max_process_vram": null,
                 "max_reserved": null,
@@ -176,22 +174,22 @@
             "latency": {
                 "unit": "s",
                 "count": 3,
-                "total": 3.4707528170000046,
-                "mean": 1.1569176056666681,
-                "stdev": 0.0058944223279957676,
-                "p50": 1.1606585189999805,
-                "p90": 1.1613305389999824,
-                "p95": 1.1614145414999826,
-                "p99": 1.1614817434999827,
+                "total": 3.371539566000024,
+                "mean": 1.123846522000008,
+                "stdev": 0.014663331287412346,
+                "p50": 1.121879904000025,
+                "p90": 1.1385421640000004,
+                "p95": 1.1406249464999973,
+                "p99": 1.142291172499995,
                 "values": [
-                    1.1614985439999828,
-                    1.1485957540000413,
-                    1.1606585189999805
+                    1.121879904000025,
+                    1.1069519330000048,
+                    1.1427077289999943
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 5.186194739030295
+                "value": 5.338807286000532
             },
             "energy": null,
             "efficiency": null