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

cpu_training_transformers_multiple-choice_FacebookAI/roberta-base/benchmark.json

@@ -79,14 +79,14 @@
         "environment": {
             "cpu": " AMD EPYC 7763 64-Core Processor",
             "cpu_count": 4,
-            "cpu_ram_mb": 16757.342208,
+            "cpu_ram_mb": 16757.338112,
             "system": "Linux",
             "machine": "x86_64",
             "platform": "Linux-6.5.0-1023-azure-x86_64-with-glibc2.35",
             "processor": "x86_64",
             "python_version": "3.10.14",
             "optimum_benchmark_version": "0.3.1",
-            "optimum_benchmark_commit": "593b48b93d71bee250bc8db76a7279c4b590c2bb",
+            "optimum_benchmark_commit": "2c28e6003745fe7e05d2d15f59cde0588e3c32a2",
             "transformers_version": "4.42.4",
             "transformers_commit": null,
             "accelerate_version": "0.32.1",
@@ -105,7 +105,7 @@
         "overall": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 2855.051264,
+                "max_ram": 2860.027904,
                 "max_global_vram": null,
                 "max_process_vram": null,
                 "max_reserved": null,
@@ -114,24 +114,24 @@
             "latency": {
                 "unit": "s",
                 "count": 5,
-                "total": 3.731135355000049,
-                "mean": 0.7462270710000098,
-                "stdev": 0.04410433868678306,
-                "p50": 0.7279518880000069,
-                "p90": 0.7920179366000184,
-                "p95": 0.8128852528000152,
-                "p99": 0.8295791057600127,
+                "total": 3.79221799599992,
+                "mean": 0.7584435991999839,
+                "stdev": 0.03940489294099805,
+                "p50": 0.7401322999999707,
+                "p90": 0.8037951067999984,
+                "p95": 0.8191735283999947,
+                "p99": 0.8314762656799917,
                 "values": [
-                    0.833752569000012,
-                    0.7294159880000279,
-                    0.7139362400000095,
-                    0.7260786699999926,
-                    0.7279518880000069
+                    0.8345519499999909,
+                    0.7321809499999858,
+                    0.7576598420000096,
+                    0.7401322999999707,
+                    0.7276929539999628
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 13.400746754736627
+                "value": 13.184896029906678
             },
             "energy": null,
             "efficiency": null
@@ -139,7 +139,7 @@
         "warmup": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 2855.051264,
+                "max_ram": 2860.027904,
                 "max_global_vram": null,
                 "max_process_vram": null,
                 "max_reserved": null,
@@ -148,21 +148,21 @@
             "latency": {
                 "unit": "s",
                 "count": 2,
-                "total": 1.56316855700004,
-                "mean": 0.78158427850002,
-                "stdev": 0.052168290499992054,
-                "p50": 0.78158427850002,
-                "p90": 0.8233189109000136,
-                "p95": 0.8285357399500128,
-                "p99": 0.8327092031900122,
+                "total": 1.5667328999999768,
+                "mean": 0.7833664499999884,
+                "stdev": 0.05118550000000255,
+                "p50": 0.7833664499999884,
+                "p90": 0.8243148499999904,
+                "p95": 0.8294333999999907,
+                "p99": 0.8335282399999909,
                 "values": [
-                    0.833752569000012,
-                    0.7294159880000279
+                    0.8345519499999909,
+                    0.7321809499999858
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 5.117810209382171
+                "value": 5.106167107360878
             },
             "energy": null,
             "efficiency": null
@@ -170,7 +170,7 @@
         "train": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 2855.051264,
+                "max_ram": 2860.027904,
                 "max_global_vram": null,
                 "max_process_vram": null,
                 "max_reserved": null,
@@ -179,22 +179,22 @@
             "latency": {
                 "unit": "s",
                 "count": 3,
-                "total": 2.167966798000009,
-                "mean": 0.7226555993333363,
-                "stdev": 0.006212764108760241,
-                "p50": 0.7260786699999926,
-                "p90": 0.727577244400004,
-                "p95": 0.7277645662000054,
-                "p99": 0.7279144236400066,
+                "total": 2.225485095999943,
+                "mean": 0.7418283653333143,
+                "stdev": 0.01229257424391014,
+                "p50": 0.7401322999999707,
+                "p90": 0.7541543336000018,
+                "p95": 0.7559070878000057,
+                "p99": 0.7573092911600088,
                 "values": [
-                    0.7139362400000095,
-                    0.7260786699999926,
-                    0.7279518880000069
+                    0.7576598420000096,
+                    0.7401322999999707,
+                    0.7276929539999628
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 8.302710178313314
+                "value": 8.088124262145344
             },
             "energy": null,
             "efficiency": null