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

@@ -87,7 +87,7 @@
             "processor": "x86_64",
             "python_version": "3.10.18",
             "optimum_benchmark_version": "0.6.0.dev0",
-            "optimum_benchmark_commit": "ff21428e3261f6e83792fbd5b28887e8bda7ba91",
+            "optimum_benchmark_commit": "f8cc4f1fcfab2d1301f39ec3aa895ba59803d7c0",
             "transformers_version": "4.55.2",
             "transformers_commit": null,
             "accelerate_version": "1.10.0",
@@ -108,7 +108,7 @@
         "overall": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 552.701952,
+                "max_ram": 540.962816,
                 "max_global_vram": null,
                 "max_process_vram": null,
                 "max_reserved": null,
@@ -117,42 +117,42 @@
             "latency": {
                 "unit": "s",
                 "values": [
-                    0.019670126000050914,
-                    0.014944185999979709,
-                    0.013909976999968876,
-                    0.013731332999952883,
-                    0.014593581999974958
+                    0.020040285999996854,
+                    0.016158740999998145,
+                    0.014624388000001431,
+                    0.014796850000010409,
+                    0.01630381200000386
                 ],
                 "count": 5,
-                "total": 0.07684920399992734,
-                "mean": 0.015369840799985468,
-                "p50": 0.014593581999974958,
-                "p90": 0.01777975000002243,
-                "p95": 0.018724938000036672,
-                "p99": 0.019481088400048065,
-                "stdev": 0.0021950910077092526,
-                "stdev_": 14.281807054965254
+                "total": 0.0819240770000107,
+                "mean": 0.01638481540000214,
+                "p50": 0.016158740999998145,
+                "p90": 0.018545696399999655,
+                "p95": 0.019292991199998253,
+                "p99": 0.019890827039997134,
+                "stdev": 0.0019514545977202913,
+                "stdev_": 11.91014088397991
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 650.6248262512553
+                "value": 610.321187994507
             },
             "energy": {
                 "unit": "kWh",
-                "cpu": 1.0091195722222325e-05,
-                "ram": 4.217319207742414e-07,
+                "cpu": 1.0410723088889128e-05,
+                "ram": 4.350735890009578e-07,
                 "gpu": 0,
-                "total": 1.0512927642996565e-05
+                "total": 1.0845796677890086e-05
             },
             "efficiency": {
                 "unit": "samples/kWh",
-                "value": 951209.8189567333
+                "value": 922016.177971112
             }
         },
         "warmup": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 552.701952,
+                "max_ram": 540.962816,
                 "max_global_vram": null,
                 "max_process_vram": null,
                 "max_reserved": null,
@@ -161,22 +161,22 @@
             "latency": {
                 "unit": "s",
                 "values": [
-                    0.019670126000050914,
-                    0.014944185999979709
+                    0.020040285999996854,
+                    0.016158740999998145
                 ],
                 "count": 2,
-                "total": 0.03461431200003062,
-                "mean": 0.01730715600001531,
-                "p50": 0.01730715600001531,
-                "p90": 0.019197532000043795,
-                "p95": 0.019433829000047354,
-                "p99": 0.019622866600050203,
-                "stdev": 0.0023629700000356024,
-                "stdev_": 13.653138621004581
+                "total": 0.036199026999995,
+                "mean": 0.0180995134999975,
+                "p50": 0.0180995134999975,
+                "p90": 0.019652131499996985,
+                "p95": 0.01984620874999692,
+                "p99": 0.020001470549996868,
+                "stdev": 0.0019407724999993547,
+                "stdev_": 10.722788211957315
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 231.11827269578325
+                "value": 221.0004152874359
             },
             "energy": null,
             "efficiency": null
@@ -184,7 +184,7 @@
         "train": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 552.701952,
+                "max_ram": 540.962816,
                 "max_global_vram": null,
                 "max_process_vram": null,
                 "max_reserved": null,
@@ -193,23 +193,23 @@
             "latency": {
                 "unit": "s",
                 "values": [
-                    0.013909976999968876,
-                    0.013731332999952883,
-                    0.014593581999974958
+                    0.014624388000001431,
+                    0.014796850000010409,
+                    0.01630381200000386
                 ],
                 "count": 3,
-                "total": 0.04223489199989672,
-                "mean": 0.014078297333298906,
-                "p50": 0.013909976999968876,
-                "p90": 0.014456860999973741,
-                "p95": 0.01452522149997435,
-                "p99": 0.014579909899974836,
-                "stdev": 0.0003715886035828838,
-                "stdev_": 2.63944278761593
+                "total": 0.0457250500000157,
+                "mean": 0.015241683333338566,
+                "p50": 0.014796850000010409,
+                "p90": 0.016002419600005167,
+                "p95": 0.016153115800004513,
+                "p99": 0.01627367276000399,
+                "stdev": 0.0007543313877317308,
+                "stdev_": 4.949134365505157
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 426.1879017008974
+                "value": 393.65730600609123
             },
             "energy": null,
             "efficiency": null