Upload cpu_training_transformers_text-classification_FacebookAI/roberta-base/benchmark.json with huggingface_hub

cpu_training_transformers_text-classification_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-6.5.0-1025-azure-x86_64-with-glibc2.35",
             "processor": "x86_64",
             "python_version": "3.10.14",
             "optimum_benchmark_version": "0.4.0",
-            "optimum_benchmark_commit": "07a8cb687fae1efd79b34b906447fdcec00042fd",
+            "optimum_benchmark_commit": "5db40d6ac008e1084f2d5d94bfa9d3c5d3529a27",
             "transformers_version": "4.44.2",
             "transformers_commit": null,
             "accelerate_version": "0.33.0",
@@ -105,7 +105,7 @@
         "overall": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 2870.042624,
+                "max_ram": 2862.108672,
                 "max_global_vram": null,
                 "max_process_vram": null,
                 "max_reserved": null,
@@ -114,24 +114,24 @@
             "latency": {
                 "unit": "s",
                 "count": 5,
-                "total": 3.0033410250000543,
-                "mean": 0.6006682050000108,
-                "stdev": 0.0431319339861717,
-                "p50": 0.5770360079999932,
-                "p90": 0.6464064980000103,
-                "p95": 0.6665224320000106,
-                "p99": 0.6826151792000109,
+                "total": 3.022769381000046,
+                "mean": 0.6045538762000092,
+                "stdev": 0.04945871058060155,
+                "p50": 0.5868122030000222,
+                "p90": 0.6587139013999945,
+                "p95": 0.680153932199994,
+                "p99": 0.6973059568399935,
                 "values": [
-                    0.686638366000011,
-                    0.5860586960000091,
-                    0.5769241190000116,
-                    0.5766838360000293,
-                    0.5770360079999932
+                    0.7015939629999934,
+                    0.594393808999996,
+                    0.5717156580000164,
+                    0.5868122030000222,
+                    0.5682537480000178
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 16.64812606487107
+                "value": 16.54112295641228
             },
             "energy": null,
             "efficiency": null
@@ -139,7 +139,7 @@
         "warmup": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 2870.042624,
+                "max_ram": 2862.108672,
                 "max_global_vram": null,
                 "max_process_vram": null,
                 "max_reserved": null,
@@ -148,21 +148,21 @@
             "latency": {
                 "unit": "s",
                 "count": 2,
-                "total": 1.2726970620000202,
-                "mean": 0.6363485310000101,
-                "stdev": 0.05028983500000095,
-                "p50": 0.6363485310000101,
-                "p90": 0.6765803990000109,
-                "p95": 0.6816093825000109,
-                "p99": 0.685632569300011,
+                "total": 1.2959877719999895,
+                "mean": 0.6479938859999947,
+                "stdev": 0.05360007699999869,
+                "p50": 0.6479938859999947,
+                "p90": 0.6908739475999937,
+                "p95": 0.6962339552999935,
+                "p99": 0.7005219614599935,
                 "values": [
-                    0.686638366000011,
-                    0.5860586960000091
+                    0.7015939629999934,
+                    0.594393808999996
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 6.285863493255925
+                "value": 6.172897748606277
             },
             "energy": null,
             "efficiency": null
@@ -170,7 +170,7 @@
         "train": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 2870.042624,
+                "max_ram": 2862.108672,
                 "max_global_vram": null,
                 "max_process_vram": null,
                 "max_reserved": null,
@@ -179,22 +179,22 @@
             "latency": {
                 "unit": "s",
                 "count": 3,
-                "total": 1.730643963000034,
-                "mean": 0.5768813210000113,
-                "stdev": 0.00014692408695801492,
-                "p50": 0.5769241190000116,
-                "p90": 0.5770136301999969,
-                "p95": 0.577024819099995,
-                "p99": 0.5770337702199936,
+                "total": 1.7267816090000565,
+                "mean": 0.5755938696666855,
+                "stdev": 0.008057479229279803,
+                "p50": 0.5717156580000164,
+                "p90": 0.5837928940000211,
+                "p95": 0.5853025485000216,
+                "p99": 0.5865102721000222,
                 "values": [
-                    0.5769241190000116,
-                    0.5766838360000293,
-                    0.5770360079999932
+                    0.5717156580000164,
+                    0.5868122030000222,
+                    0.5682537480000178
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 10.400752774589979
+                "value": 10.424016509200273
             },
             "energy": null,
             "efficiency": null