Upload cpu_training_transformers_text-generation_hf-internal-testing/tiny-random-LlamaForCausalLM/benchmark.json with huggingface_hub

cpu_training_transformers_text-generation_hf-internal-testing/tiny-random-LlamaForCausalLM/benchmark.json

@@ -80,14 +80,14 @@
         "environment": {
             "cpu": " AMD EPYC 7763 64-Core Processor",
             "cpu_count": 4,
-            "cpu_ram_mb": 16766.414848,
+            "cpu_ram_mb": 16772.681728,
             "system": "Linux",
             "machine": "x86_64",
-            "platform": "Linux-6.11.0-1013-azure-x86_64-with-glibc2.39",
+            "platform": "Linux-6.11.0-1014-azure-x86_64-with-glibc2.39",
             "processor": "x86_64",
             "python_version": "3.10.17",
             "optimum_benchmark_version": "0.6.0.dev0",
-            "optimum_benchmark_commit": "beff3e0759efc1772ad6146f30afdacbdc2981d3",
+            "optimum_benchmark_commit": "e6dc1cc3ce07743b724df1115229557b0f98e8da",
             "transformers_version": "4.51.3",
             "transformers_commit": null,
             "accelerate_version": "1.6.0",
@@ -108,7 +108,7 @@
         "overall": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 540.024832,
+                "max_ram": 549.728256,
                 "max_global_vram": null,
                 "max_process_vram": null,
                 "max_reserved": null,
@@ -117,42 +117,42 @@
             "latency": {
                 "unit": "s",
                 "values": [
-                    0.023925689000009243,
-                    0.019548957000040446,
-                    0.01970636199996534,
-                    0.020010473000013462,
-                    0.019162371999982497
+                    0.024202096999999867,
+                    0.017148685999984536,
+                    0.01836128100001133,
+                    0.01768224299999588,
+                    0.017356624000001375
                 ],
                 "count": 5,
-                "total": 0.10235385300001099,
-                "mean": 0.020470770600002196,
-                "p50": 0.01970636199996534,
-                "p90": 0.02235960260001093,
-                "p95": 0.023142645800010086,
-                "p99": 0.023769080360009413,
-                "stdev": 0.0017489598479485397,
-                "stdev_": 8.543693259638951
+                "total": 0.09475093099999299,
+                "mean": 0.0189501861999986,
+                "p50": 0.01768224299999588,
+                "p90": 0.021865770600004452,
+                "p95": 0.023033933800002158,
+                "p99": 0.023968464360000327,
+                "stdev": 0.0026578901331727705,
+                "stdev_": 14.025667637888262
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 488.50139525274767
+                "value": 527.6993003900268
             },
             "energy": {
                 "unit": "kWh",
-                "cpu": 1.1813880244443454e-05,
-                "ram": 4.93631416514804e-07,
+                "cpu": 1.0730165833333338e-05,
+                "ram": 4.4849221148391743e-07,
                 "gpu": 0,
-                "total": 1.2307511660958258e-05
+                "total": 1.1178658044817256e-05
             },
             "efficiency": {
                 "unit": "samples/kWh",
-                "value": 812511.9256820923
+                "value": 894561.7586572733
             }
         },
         "warmup": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 540.024832,
+                "max_ram": 549.728256,
                 "max_global_vram": null,
                 "max_process_vram": null,
                 "max_reserved": null,
@@ -161,22 +161,22 @@
             "latency": {
                 "unit": "s",
                 "values": [
-                    0.023925689000009243,
-                    0.019548957000040446
+                    0.024202096999999867,
+                    0.017148685999984536
                 ],
                 "count": 2,
-                "total": 0.04347464600004969,
-                "mean": 0.021737323000024844,
-                "p50": 0.021737323000024844,
-                "p90": 0.023488015800012363,
-                "p95": 0.023706852400010803,
-                "p99": 0.023881921680009556,
-                "stdev": 0.0021883659999843985,
-                "stdev_": 10.067320617087473
+                "total": 0.0413507829999844,
+                "mean": 0.0206753914999922,
+                "p50": 0.0206753914999922,
+                "p90": 0.023496755899998334,
+                "p95": 0.0238494264499991,
+                "p99": 0.024131562889999715,
+                "stdev": 0.0035267055000076653,
+                "stdev_": 17.057502877316715
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 184.0152993998124
+                "value": 193.46671138012107
             },
             "energy": null,
             "efficiency": null
@@ -184,7 +184,7 @@
         "train": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 540.024832,
+                "max_ram": 549.728256,
                 "max_global_vram": null,
                 "max_process_vram": null,
                 "max_reserved": null,
@@ -193,23 +193,23 @@
             "latency": {
                 "unit": "s",
                 "values": [
-                    0.01970636199996534,
-                    0.020010473000013462,
-                    0.019162371999982497
+                    0.01836128100001133,
+                    0.01768224299999588,
+                    0.017356624000001375
                 ],
                 "count": 3,
-                "total": 0.0588792069999613,
-                "mean": 0.01962640233332043,
-                "p50": 0.01970636199996534,
-                "p90": 0.019949650800003837,
-                "p95": 0.01998006190000865,
-                "p99": 0.0200043907800125,
-                "stdev": 0.0003508218805232974,
-                "stdev_": 1.7874996882525678
+                "total": 0.053400148000008585,
+                "mean": 0.017800049333336194,
+                "p50": 0.01768224299999588,
+                "p90": 0.01822547340000824,
+                "p95": 0.018293377200009786,
+                "p99": 0.018347700240011023,
+                "stdev": 0.00041852333351803195,
+                "stdev_": 2.351248166117244
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 305.7106390718175
+                "value": 337.07771746245174
             },
             "energy": null,
             "efficiency": null