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": "c40deb04de5a36cb83739e342e41e216fb5a1cf2",
+            "optimum_benchmark_commit": "b437841d8ac0f8671c66ca6a8aa4cc123563284f",
             "transformers_version": "4.44.2",
             "transformers_commit": null,
             "accelerate_version": "0.33.0",
@@ -105,7 +105,7 @@
         "overall": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 2864.058368,
+                "max_ram": 2871.123968,
                 "max_global_vram": null,
                 "max_process_vram": null,
                 "max_reserved": null,
@@ -114,24 +114,24 @@
             "latency": {
                 "unit": "s",
                 "count": 5,
-                "total": 2.9853968599999803,
-                "mean": 0.5970793719999961,
-                "stdev": 0.04783532398836479,
-                "p50": 0.5732797449999794,
-                "p90": 0.648586820599985,
-                "p95": 0.6703567137999812,
-                "p99": 0.6877726283599782,
+                "total": 3.0889773680000303,
+                "mean": 0.6177954736000061,
+                "stdev": 0.047314565152062844,
+                "p50": 0.5974122910000119,
+                "p90": 0.6717221796000331,
+                "p95": 0.6904604648000372,
+                "p99": 0.7054510929600406,
                 "values": [
-                    0.6921266069999774,
-                    0.5686766279999915,
-                    0.5732797449999794,
-                    0.5832771409999964,
-                    0.5680367390000356
+                    0.7091987500000414,
+                    0.588722496999992,
+                    0.5974122910000119,
+                    0.6155073240000206,
+                    0.5781365059999644
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 16.748192064488315
+                "value": 16.186586705998653
             },
             "energy": null,
             "efficiency": null
@@ -139,7 +139,7 @@
         "warmup": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 2864.058368,
+                "max_ram": 2871.123968,
                 "max_global_vram": null,
                 "max_process_vram": null,
                 "max_reserved": null,
@@ -148,21 +148,21 @@
             "latency": {
                 "unit": "s",
                 "count": 2,
-                "total": 1.260803234999969,
-                "mean": 0.6304016174999845,
-                "stdev": 0.061724989499992944,
-                "p50": 0.6304016174999845,
-                "p90": 0.6797816090999789,
-                "p95": 0.6859541080499781,
-                "p99": 0.6908921072099775,
+                "total": 1.2979212470000334,
+                "mean": 0.6489606235000167,
+                "stdev": 0.06023812650002469,
+                "p50": 0.6489606235000167,
+                "p90": 0.6971511247000365,
+                "p95": 0.7031749373500389,
+                "p99": 0.7079939874700409,
                 "values": [
-                    0.6921266069999774,
-                    0.5686766279999915
+                    0.7091987500000414,
+                    0.588722496999992
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 6.345161384361611
+                "value": 6.163702164897062
             },
             "energy": null,
             "efficiency": null
@@ -170,7 +170,7 @@
         "train": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 2864.058368,
+                "max_ram": 2871.123968,
                 "max_global_vram": null,
                 "max_process_vram": null,
                 "max_reserved": null,
@@ -179,22 +179,22 @@
             "latency": {
                 "unit": "s",
                 "count": 3,
-                "total": 1.7245936250000113,
-                "mean": 0.5748645416666704,
-                "stdev": 0.006321980103109502,
-                "p50": 0.5732797449999794,
-                "p90": 0.581277661799993,
-                "p95": 0.5822774013999947,
-                "p99": 0.5830771930799961,
+                "total": 1.791056120999997,
+                "mean": 0.5970187069999989,
+                "stdev": 0.015259110738006804,
+                "p50": 0.5974122910000119,
+                "p90": 0.6118883174000189,
+                "p95": 0.6136978207000198,
+                "p99": 0.6151454233400204,
                 "values": [
-                    0.5732797449999794,
-                    0.5832771409999964,
-                    0.5680367390000356
+                    0.5974122910000119,
+                    0.6155073240000206,
+                    0.5781365059999644
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 10.4372414110019
+                "value": 10.049936341441995
             },
             "energy": null,
             "efficiency": null