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

cpu_training_transformers_multiple-choice_FacebookAI/roberta-base/benchmark.json

@@ -3,7 +3,7 @@
         "name": "cpu_training_transformers_multiple-choice_FacebookAI/roberta-base",
         "backend": {
             "name": "pytorch",
-            "version": "2.3.0+cpu",
+            "version": "2.3.1+cpu",
             "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
             "task": "multiple-choice",
             "library": "transformers",
@@ -76,23 +76,23 @@
         "environment": {
             "cpu": " AMD EPYC 7763 64-Core Processor",
             "cpu_count": 4,
-            "cpu_ram_mb": 16757.354496,
+            "cpu_ram_mb": 16757.338112,
             "system": "Linux",
             "machine": "x86_64",
-            "platform": "Linux-6.5.0-1021-azure-x86_64-with-glibc2.35",
+            "platform": "Linux-6.5.0-1022-azure-x86_64-with-glibc2.35",
             "processor": "x86_64",
             "python_version": "3.10.14",
             "optimum_benchmark_version": "0.2.1",
-            "optimum_benchmark_commit": "347e13ca9f7f904f55669603cfb9f0b6c7e8672c",
-            "transformers_version": "4.41.1",
+            "optimum_benchmark_commit": "d920fe9626db1e7915f6d3574b5b54b0159cd100",
+            "transformers_version": "4.42.3",
             "transformers_commit": null,
-            "accelerate_version": "0.30.1",
+            "accelerate_version": "0.31.0",
             "accelerate_commit": null,
-            "diffusers_version": "0.27.2",
+            "diffusers_version": "0.29.2",
             "diffusers_commit": null,
             "optimum_version": null,
             "optimum_commit": null,
-            "timm_version": "1.0.3",
+            "timm_version": "1.0.7",
             "timm_commit": null,
             "peft_version": null,
             "peft_commit": null
@@ -102,7 +102,7 @@
         "overall": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 2833.154048,
+                "max_ram": 2843.926528,
                 "max_global_vram": null,
                 "max_process_vram": null,
                 "max_reserved": null,
@@ -111,24 +111,24 @@
             "latency": {
                 "unit": "s",
                 "count": 5,
-                "total": 3.8069755459999897,
-                "mean": 0.761395109199998,
-                "stdev": 0.049894389234311276,
-                "p50": 0.7365560349999782,
-                "p90": 0.8158855796000012,
-                "p95": 0.8380173077999984,
-                "p99": 0.8557226903599963,
+                "total": 3.795569279999995,
+                "mean": 0.759113855999999,
+                "stdev": 0.04998840265487271,
+                "p50": 0.7391868530000067,
+                "p90": 0.8112421034000021,
+                "p95": 0.8349214291999999,
+                "p99": 0.8538648898399981,
                 "values": [
-                    0.8601490359999957,
-                    0.7494903950000094,
-                    0.732995982000034,
-                    0.7277840979999723,
-                    0.7365560349999782
+                    0.8586007549999977,
+                    0.740204126000009,
+                    0.7391868530000067,
+                    0.729945119000007,
+                    0.7276324269999748
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 13.133785440921804
+                "value": 13.173254474227399
             },
             "energy": null,
             "efficiency": null
@@ -136,7 +136,7 @@
         "warmup": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 2833.154048,
+                "max_ram": 2843.926528,
                 "max_global_vram": null,
                 "max_process_vram": null,
                 "max_reserved": null,
@@ -145,21 +145,21 @@
             "latency": {
                 "unit": "s",
                 "count": 2,
-                "total": 1.609639431000005,
-                "mean": 0.8048197155000025,
-                "stdev": 0.05532932049999317,
-                "p50": 0.8048197155000025,
-                "p90": 0.849083171899997,
-                "p95": 0.8546161039499964,
-                "p99": 0.8590424495899959,
+                "total": 1.5988048810000066,
+                "mean": 0.7994024405000033,
+                "stdev": 0.05919831449999435,
+                "p50": 0.7994024405000033,
+                "p90": 0.8467610920999988,
+                "p95": 0.8526809235499982,
+                "p99": 0.8574167887099978,
                 "values": [
-                    0.8601490359999957,
-                    0.7494903950000094
+                    0.8586007549999977,
+                    0.740204126000009
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 4.970057173009186
+                "value": 5.003737538627121
             },
             "energy": null,
             "efficiency": null
@@ -167,7 +167,7 @@
         "train": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 2833.154048,
+                "max_ram": 2843.926528,
                 "max_global_vram": null,
                 "max_process_vram": null,
                 "max_reserved": null,
@@ -176,22 +176,22 @@
             "latency": {
                 "unit": "s",
                 "count": 3,
-                "total": 2.1973361149999846,
-                "mean": 0.7324453716666616,
-                "stdev": 0.003602230650345284,
-                "p50": 0.732995982000034,
-                "p90": 0.7358440243999894,
-                "p95": 0.7362000296999838,
-                "p99": 0.7364848339399793,
+                "total": 2.1967643989999885,
+                "mean": 0.7322547996666628,
+                "stdev": 0.004991803857925278,
+                "p50": 0.729945119000007,
+                "p90": 0.7373385062000068,
+                "p95": 0.7382626796000068,
+                "p99": 0.7390020183200068,
                 "values": [
-                    0.732995982000034,
-                    0.7277840979999723,
-                    0.7365560349999782
+                    0.7391868530000067,
+                    0.729945119000007,
+                    0.7276324269999748
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 8.191737202662837
+                "value": 8.193869132344808
             },
             "energy": null,
             "efficiency": null