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

cpu_inference_transformers_multiple-choice_FacebookAI/roberta-base/benchmark.json

@@ -3,7 +3,7 @@
         "name": "cpu_inference_transformers_multiple-choice_FacebookAI/roberta-base",
         "backend": {
             "name": "pytorch",
-            "version": "2.4.1+cpu",
+            "version": "2.5.1+cpu",
             "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
             "task": "multiple-choice",
             "library": "transformers",
@@ -44,9 +44,9 @@
             "duration": 1,
             "warmup_runs": 1,
             "input_shapes": {
-                "batch_size": 1,
-                "num_choices": 2,
-                "sequence_length": 2
+                "batch_size": 2,
+                "sequence_length": 16,
+                "num_choices": 2
             },
             "new_tokens": null,
             "memory": true,
@@ -73,23 +73,23 @@
         "environment": {
             "cpu": " AMD EPYC 7763 64-Core Processor",
             "cpu_count": 4,
-            "cpu_ram_mb": 16766.783488,
+            "cpu_ram_mb": 16757.342208,
             "system": "Linux",
             "machine": "x86_64",
-            "platform": "Linux-6.8.0-1015-azure-x86_64-with-glibc2.39",
+            "platform": "Linux-6.5.0-1025-azure-x86_64-with-glibc2.35",
             "processor": "x86_64",
             "python_version": "3.10.15",
             "optimum_benchmark_version": "0.5.0.dev0",
-            "optimum_benchmark_commit": "08c9f59440cf4e5a5d6711ec19e8329ab2de652d",
-            "transformers_version": "4.45.2",
+            "optimum_benchmark_commit": "04bb8676c2e912cf262caaa2d4796a0191a83273",
+            "transformers_version": "4.46.3",
             "transformers_commit": null,
-            "accelerate_version": "1.0.1",
+            "accelerate_version": "1.1.1",
             "accelerate_commit": null,
-            "diffusers_version": "0.30.3",
+            "diffusers_version": "0.31.0",
             "diffusers_commit": null,
             "optimum_version": null,
             "optimum_commit": null,
-            "timm_version": "1.0.9",
+            "timm_version": "1.0.11",
             "timm_commit": null,
             "peft_version": null,
             "peft_commit": null
@@ -101,7 +101,7 @@
         "load": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 946.95424,
+                "max_ram": 966.627328,
                 "max_global_vram": null,
                 "max_process_vram": null,
                 "max_reserved": null,
@@ -110,15 +110,15 @@
             "latency": {
                 "unit": "s",
                 "values": [
-                    1.2193013000000121
+                    1.215279728999974
                 ],
                 "count": 1,
-                "total": 1.2193013000000121,
-                "mean": 1.2193013000000121,
-                "p50": 1.2193013000000121,
-                "p90": 1.2193013000000121,
-                "p95": 1.2193013000000121,
-                "p99": 1.2193013000000121,
+                "total": 1.215279728999974,
+                "mean": 1.215279728999974,
+                "p50": 1.215279728999974,
+                "p90": 1.215279728999974,
+                "p95": 1.215279728999974,
+                "p99": 1.215279728999974,
                 "stdev": 0,
                 "stdev_": 0
             },
@@ -129,7 +129,7 @@
         "forward": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 958.869504,
+                "max_ram": 983.535616,
                 "max_global_vram": null,
                 "max_process_vram": null,
                 "max_reserved": null,
@@ -138,55 +138,39 @@
             "latency": {
                 "unit": "s",
                 "values": [
-                    0.04616789599998583,
-                    0.044532373000009784,
-                    0.043579761000017925,
-                    0.04393427000002248,
-                    0.043614385000012135,
-                    0.04306340000002251,
-                    0.04390326200001482,
-                    0.043052499999987504,
-                    0.044416527000009864,
-                    0.04373782499999379,
-                    0.04276013499998044,
-                    0.04314133500000139,
-                    0.04251446899999678,
-                    0.04311764999999923,
-                    0.044444550000008576,
-                    0.04435035400001652,
-                    0.042877333000006956,
-                    0.044962365999992926,
-                    0.04063359899998886,
-                    0.03932723799999849,
-                    0.03981202899998948,
-                    0.038777404999990495,
-                    0.039950648000001365,
-                    0.04234315999997307
+                    0.17443563800003403,
+                    0.17703661100000545,
+                    0.1795938349999915,
+                    0.1293138830000089,
+                    0.09296477599997388,
+                    0.09255506399995284,
+                    0.09157841800004007,
+                    0.0911549719999698
                 ],
-                "count": 24,
-                "total": 1.0290144700000212,
-                "mean": 0.04287560291666755,
-                "p50": 0.04312949250000031,
-                "p90": 0.04450602610000942,
-                "p95": 0.04489786704999545,
-                "p99": 0.04589062409998746,
-                "stdev": 0.0018471608259562047,
-                "stdev_": 4.3081862418269
+                "count": 8,
+                "total": 1.0286331969999765,
+                "mean": 0.12857914962499706,
+                "p50": 0.11113932949999139,
+                "p90": 0.17780377820000126,
+                "p95": 0.17869880659999637,
+                "p99": 0.17941482931999247,
+                "stdev": 0.03935372061755614,
+                "stdev_": 30.60661136143133
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 23.32328718370647
+                "value": 15.55462145949035
             },
             "energy": {
                 "unit": "kWh",
-                "cpu": 1.5413222297008626e-06,
-                "ram": 6.444993102457781e-08,
+                "cpu": 3.7052386494949743e-06,
+                "ram": 1.5484962988065027e-07,
                 "gpu": 0.0,
-                "total": 1.6057721607254403e-06
+                "total": 3.8600882793756244e-06
             },
             "efficiency": {
                 "unit": "samples/kWh",
-                "value": 622753.354715173
+                "value": 518122.8653981725
             }
         }
     }