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": 16757.338112,
+            "cpu_ram_mb": 16757.342208,
             "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": "829c6f2bf05bfceceeef1a2cf8b5f0b6ce8b52b7",
+            "optimum_benchmark_commit": "9ea4940f8d12769fd995efb985434836fb19b72f",
             "transformers_version": "4.44.2",
             "transformers_commit": null,
             "accelerate_version": "0.34.0",
@@ -105,7 +105,7 @@
         "overall": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 2859.114496,
+                "max_ram": 2876.817408,
                 "max_global_vram": null,
                 "max_process_vram": null,
                 "max_reserved": null,
@@ -114,24 +114,24 @@
             "latency": {
                 "unit": "s",
                 "count": 5,
-                "total": 3.15648532299997,
-                "mean": 0.631297064599994,
-                "stdev": 0.04784934306208637,
-                "p50": 0.6055654410000102,
-                "p90": 0.6911282344000028,
-                "p95": 0.7011289942000076,
-                "p99": 0.7091296020400114,
+                "total": 3.03589235000004,
+                "mean": 0.607178470000008,
+                "stdev": 0.04446195196434121,
+                "p50": 0.5902850179999746,
+                "p90": 0.6532183208000106,
+                "p95": 0.6739672714000108,
+                "p99": 0.6905664318800109,
                 "values": [
-                    0.7111297540000123,
-                    0.588811542999963,
-                    0.6055654410000102,
-                    0.5898526299999958,
-                    0.6611259549999886
+                    0.6947162220000109,
+                    0.5909714690000101,
+                    0.5701694560000306,
+                    0.589750185000014,
+                    0.5902850179999746
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 15.84040313308958
+                "value": 16.469622185384583
             },
             "energy": null,
             "efficiency": null
@@ -139,7 +139,7 @@
         "warmup": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 2859.114496,
+                "max_ram": 2876.817408,
                 "max_global_vram": null,
                 "max_process_vram": null,
                 "max_reserved": null,
@@ -148,21 +148,21 @@
             "latency": {
                 "unit": "s",
                 "count": 2,
-                "total": 1.2999412969999753,
-                "mean": 0.6499706484999876,
-                "stdev": 0.06115910550002468,
-                "p50": 0.6499706484999876,
-                "p90": 0.6988979329000073,
-                "p95": 0.7050138434500098,
-                "p99": 0.7099065718900118,
+                "total": 1.285687691000021,
+                "mean": 0.6428438455000105,
+                "stdev": 0.05187237650000043,
+                "p50": 0.6428438455000105,
+                "p90": 0.6843417467000108,
+                "p95": 0.6895289843500109,
+                "p99": 0.6936787744700109,
                 "values": [
-                    0.7111297540000123,
-                    0.588811542999963
+                    0.6947162220000109,
+                    0.5909714690000101
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 6.15412405041868
+                "value": 6.222350930168367
             },
             "energy": null,
             "efficiency": null
@@ -170,7 +170,7 @@
         "train": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 2859.114496,
+                "max_ram": 2876.817408,
                 "max_global_vram": null,
                 "max_process_vram": null,
                 "max_reserved": null,
@@ -179,22 +179,22 @@
             "latency": {
                 "unit": "s",
                 "count": 3,
-                "total": 1.8565440259999946,
-                "mean": 0.6188480086666649,
-                "stdev": 0.030575498545982818,
-                "p50": 0.6055654410000102,
-                "p90": 0.650013852199993,
-                "p95": 0.6555699035999908,
-                "p99": 0.660014744719989,
+                "total": 1.750204659000019,
+                "mean": 0.5834015530000064,
+                "stdev": 0.009359052831244496,
+                "p50": 0.589750185000014,
+                "p90": 0.5901780513999825,
+                "p95": 0.5902315346999785,
+                "p99": 0.5902743213399754,
                 "values": [
-                    0.6055654410000102,
-                    0.5898526299999958,
-                    0.6611259549999886
+                    0.5701694560000306,
+                    0.589750185000014,
+                    0.5902850179999746
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 9.6954339611228
+                "value": 10.284511532659451
             },
             "energy": null,
             "efficiency": null