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": 16757.338112,
+            "cpu_ram_mb": 16757.354496,
             "system": "Linux",
             "machine": "x86_64",
-            "platform": "Linux-6.5.0-1018-azure-x86_64-with-glibc2.35",
+            "platform": "Linux-6.5.0-1021-azure-x86_64-with-glibc2.35",
             "processor": "x86_64",
             "python_version": "3.10.14",
             "optimum_benchmark_version": "0.2.0",
-            "optimum_benchmark_commit": "3e2eebdc0f80ae6deeb2e1faad3e889ed5a4df2d",
+            "optimum_benchmark_commit": "6fd377459e287bb09e9383ba2516b1b2a271a562",
             "transformers_version": "4.40.2",
             "transformers_commit": null,
             "accelerate_version": "0.30.1",
@@ -102,7 +100,7 @@
         "overall": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 4359.970816,
+                "max_ram": 4373.54496,
                 "max_global_vram": null,
                 "max_process_vram": null,
                 "max_reserved": null,
@@ -111,24 +109,24 @@
             "latency": {
                 "unit": "s",
                 "count": 5,
-                "total": 6.2632680939999545,
-                "mean": 1.2526536187999908,
-                "stdev": 0.07230363757833023,
-                "p50": 1.2186385210000026,
-                "p90": 1.3296165987999757,
-                "p95": 1.3630258913999795,
-                "p99": 1.3897533254799828,
+                "total": 5.8865990369999395,
+                "mean": 1.177319807399988,
+                "stdev": 0.0860866821817994,
+                "p50": 1.136150960000009,
+                "p90": 1.2734416565999709,
+                "p95": 1.3099427877999688,
+                "p99": 1.3391436927599671,
                 "values": [
-                    1.3964351839999836,
-                    1.2186385210000026,
-                    1.2293887209999639,
-                    1.2057697619999885,
-                    1.213035906000016
+                    1.3464439189999666,
+                    1.1639382629999773,
+                    1.1226891439999918,
+                    1.136150960000009,
+                    1.1173767509999948
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 7.983052816771277
+                "value": 8.4938688172453
             },
             "energy": null,
             "efficiency": null
@@ -136,7 +134,7 @@
         "warmup": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 4359.970816,
+                "max_ram": 4373.54496,
                 "max_global_vram": null,
                 "max_process_vram": null,
                 "max_reserved": null,
@@ -145,21 +143,21 @@
             "latency": {
                 "unit": "s",
                 "count": 2,
-                "total": 2.615073704999986,
-                "mean": 1.307536852499993,
-                "stdev": 0.08889833149999049,
-                "p50": 1.307536852499993,
-                "p90": 1.3786555176999855,
-                "p95": 1.3875453508499844,
-                "p99": 1.3946572173699838,
+                "total": 2.510382181999944,
+                "mean": 1.255191090999972,
+                "stdev": 0.09125282799999468,
+                "p50": 1.255191090999972,
+                "p90": 1.3281933533999677,
+                "p95": 1.3373186361999672,
+                "p99": 1.3446188624399666,
                 "values": [
-                    1.3964351839999836,
-                    1.2186385210000026
+                    1.3464439189999666,
+                    1.1639382629999773
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 3.059187197937904
+                "value": 3.1867657671258036
             },
             "energy": null,
             "efficiency": null
@@ -167,7 +165,7 @@
         "train": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 4359.970816,
+                "max_ram": 4373.54496,
                 "max_global_vram": null,
                 "max_process_vram": null,
                 "max_reserved": null,
@@ -176,22 +174,22 @@
             "latency": {
                 "unit": "s",
                 "count": 3,
-                "total": 3.6481943889999684,
-                "mean": 1.2160647963333229,
-                "stdev": 0.00987739636911903,
-                "p50": 1.213035906000016,
-                "p90": 1.2261181579999743,
-                "p95": 1.2277534394999692,
-                "p99": 1.229061664699965,
+                "total": 3.3762168549999956,
+                "mean": 1.1254056183333319,
+                "stdev": 0.007901567586954955,
+                "p50": 1.1226891439999918,
+                "p90": 1.1334585968000055,
+                "p95": 1.1348047784000073,
+                "p99": 1.1358817236800087,
                 "values": [
-                    1.2293887209999639,
-                    1.2057697619999885,
-                    1.213035906000016
+                    1.1226891439999918,
+                    1.136150960000009,
+                    1.1173767509999948
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 4.9339476137218945
+                "value": 5.3314110950376215
             },
             "energy": null,
             "efficiency": null