Upload cpu_training_transformers_multiple-choice_FacebookAI/roberta-base/benchmark.json with huggingface_hub

cpu_training_transformers_multiple-choice_FacebookAI/roberta-base/benchmark.json

@@ -6,17 +6,19 @@
             "version": "2.3.0+cpu",
             "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
             "task": "multiple-choice",
-            "library": "transformers",
             "model": "FacebookAI/roberta-base",
-            "processor": "FacebookAI/roberta-base",
+            "library": "transformers",
             "device": "cpu",
             "device_ids": null,
             "seed": 42,
             "inter_op_num_threads": null,
             "intra_op_num_threads": null,
-            "model_kwargs": {},
-            "processor_kwargs": {},
-            "hub_kwargs": {},
+            "hub_kwargs": {
+                "revision": "main",
+                "force_download": false,
+                "local_files_only": false,
+                "trust_remote_code": false
+            },
             "no_weights": true,
             "device_map": null,
             "torch_dtype": null,
@@ -74,17 +76,17 @@
         "environment": {
             "cpu": " AMD EPYC 7763 64-Core Processor",
             "cpu_count": 4,
-            "cpu_ram_mb": 16757.342208,
+            "cpu_ram_mb": 16757.346304,
             "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": "a8ccb91469272f9f38883fbf3e14bffcd5e95f2d",
+            "optimum_benchmark_commit": "b880a42960acf7600cf87a7b5756d96d29e2fb24",
             "transformers_version": "4.40.2",
             "transformers_commit": null,
-            "accelerate_version": "0.30.0",
+            "accelerate_version": "0.30.1",
             "accelerate_commit": null,
             "diffusers_version": "0.27.2",
             "diffusers_commit": null,
@@ -100,7 +102,7 @@
         "overall": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 2842.497024,
+                "max_ram": 2845.114368,
                 "max_global_vram": null,
                 "max_process_vram": null,
                 "max_reserved": null,
@@ -109,24 +111,24 @@
             "latency": {
                 "unit": "s",
                 "count": 5,
-                "total": 3.709918937000225,
-                "mean": 0.741983787400045,
-                "stdev": 0.046759182139630116,
-                "p50": 0.7217672480001056,
-                "p90": 0.7899617502000638,
-                "p95": 0.8126279256000544,
-                "p99": 0.8307608659200468,
+                "total": 3.7974136010000734,
+                "mean": 0.7594827202000147,
+                "stdev": 0.044116577438882615,
+                "p50": 0.744972899000004,
+                "p90": 0.8067065490000231,
+                "p95": 0.8264506540000184,
+                "p99": 0.8422459380000146,
                 "values": [
-                    0.835294101000045,
-                    0.7217672480001056,
-                    0.7135266779999938,
-                    0.7219632240000919,
-                    0.7173676859999887
+                    0.8461947590000136,
+                    0.7341818450000233,
+                    0.744972899000004,
+                    0.7474742340000375,
+                    0.724589863999995
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 13.477383427797783
+                "value": 13.16685651171423
             },
             "energy": null,
             "efficiency": null
@@ -134,7 +136,7 @@
         "warmup": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 2842.497024,
+                "max_ram": 2845.114368,
                 "max_global_vram": null,
                 "max_process_vram": null,
                 "max_reserved": null,
@@ -143,21 +145,21 @@
             "latency": {
                 "unit": "s",
                 "count": 2,
-                "total": 1.5570613490001506,
-                "mean": 0.7785306745000753,
-                "stdev": 0.05676342649996968,
-                "p50": 0.7785306745000753,
-                "p90": 0.8239414157000511,
-                "p95": 0.829617758350048,
-                "p99": 0.8341588324700456,
+                "total": 1.5803766040000369,
+                "mean": 0.7901883020000184,
+                "stdev": 0.05600645699999518,
+                "p50": 0.7901883020000184,
+                "p90": 0.8349934676000146,
+                "p95": 0.8405941133000141,
+                "p99": 0.8450746298600137,
                 "values": [
-                    0.835294101000045,
-                    0.7217672480001056
+                    0.8461947590000136,
+                    0.7341818450000233
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 5.137883619766884
+                "value": 5.062084556144071
             },
             "energy": null,
             "efficiency": null
@@ -165,7 +167,7 @@
         "train": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 2842.497024,
+                "max_ram": 2845.114368,
                 "max_global_vram": null,
                 "max_process_vram": null,
                 "max_reserved": null,
@@ -174,22 +176,22 @@
             "latency": {
                 "unit": "s",
                 "count": 3,
-                "total": 2.1528575880000744,
-                "mean": 0.7176191960000248,
-                "stdev": 0.0034487939982001036,
-                "p50": 0.7173676859999887,
-                "p90": 0.7210441164000713,
-                "p95": 0.7215036702000817,
-                "p99": 0.7218713132400899,
+                "total": 2.2170369970000365,
+                "mean": 0.7390123323333455,
+                "stdev": 0.010249223184075017,
+                "p50": 0.744972899000004,
+                "p90": 0.7469739670000308,
+                "p95": 0.7472241005000342,
+                "p99": 0.7474242073000369,
                 "values": [
-                    0.7135266779999938,
-                    0.7219632240000919,
-                    0.7173676859999887
+                    0.744972899000004,
+                    0.7474742340000375,
+                    0.724589863999995
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 8.360980354822884
+                "value": 8.118944349758952
             },
             "energy": null,
             "efficiency": null