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": "3.10.17",
             "optimum_benchmark_version": "0.6.0.dev0",
-            "optimum_benchmark_commit": "5cd9e814fa3475634ac852e5245f0dd83c45c004",
+            "optimum_benchmark_commit": "a19b9178c3ffa1b1a098d2a8c504521916e994bb",
             "transformers_version": "4.51.3",
             "transformers_commit": null,
             "accelerate_version": "1.6.0",
@@ -108,7 +108,7 @@
         "overall": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 548.27008,
+                "max_ram": 550.05184,
                 "max_global_vram": null,
                 "max_process_vram": null,
                 "max_reserved": null,
@@ -117,42 +117,42 @@
             "latency": {
                 "unit": "s",
                 "values": [
-                    0.01811177700000144,
-                    0.013025672999987137,
-                    0.013349444999988691,
-                    0.013094262000009849,
-                    0.013194006000020408
+                    0.022845243999995546,
+                    0.014608082999984617,
+                    0.014803266000001258,
+                    0.01589367299999367,
+                    0.014701376000004984
                 ],
                 "count": 5,
-                "total": 0.07077516300000752,
-                "mean": 0.014155032600001505,
-                "p50": 0.013194006000020408,
-                "p90": 0.01620684419999634,
-                "p95": 0.017159310599998888,
-                "p99": 0.01792128372000093,
-                "stdev": 0.0019813660502818625,
-                "stdev_": 13.99760852745512
+                "total": 0.08285164199998007,
+                "mean": 0.016570328399996014,
+                "p50": 0.014803266000001258,
+                "p90": 0.020064615599994794,
+                "p95": 0.02145492979999517,
+                "p99": 0.02256718115999547,
+                "stdev": 0.003171697587294323,
+                "stdev_": 19.14082515887305
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 706.4625199096282
+                "value": 603.4883412450899
             },
             "energy": {
                 "unit": "kWh",
-                "cpu": 9.989830122222227e-06,
-                "ram": 4.173720753928331e-07,
+                "cpu": 1.0205662405554488e-05,
+                "ram": 4.263946597314781e-07,
                 "gpu": 0,
-                "total": 1.040720219761506e-05
+                "total": 1.0632057065285966e-05
             },
             "efficiency": {
                 "unit": "samples/kWh",
-                "value": 960873.0387011819
+                "value": 940551.7613943539
             }
         },
         "warmup": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 548.27008,
+                "max_ram": 550.05184,
                 "max_global_vram": null,
                 "max_process_vram": null,
                 "max_reserved": null,
@@ -161,22 +161,22 @@
             "latency": {
                 "unit": "s",
                 "values": [
-                    0.01811177700000144,
-                    0.013025672999987137
+                    0.022845243999995546,
+                    0.014608082999984617
                 ],
                 "count": 2,
-                "total": 0.031137449999988576,
-                "mean": 0.015568724999994288,
-                "p50": 0.015568724999994288,
-                "p90": 0.017603166600000008,
-                "p95": 0.017857471800000725,
-                "p99": 0.018060915960001298,
-                "stdev": 0.002543052000007151,
-                "stdev_": 16.3343626405379
+                "total": 0.03745332699998016,
+                "mean": 0.01872666349999008,
+                "p50": 0.01872666349999008,
+                "p90": 0.022021527899994453,
+                "p95": 0.022433385949995,
+                "p99": 0.022762872389995435,
+                "stdev": 0.004118580500005464,
+                "stdev_": 21.993135616537593
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 256.9253423129683
+                "value": 213.59918172300786
             },
             "energy": null,
             "efficiency": null
@@ -184,7 +184,7 @@
         "train": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 548.27008,
+                "max_ram": 550.05184,
                 "max_global_vram": null,
                 "max_process_vram": null,
                 "max_reserved": null,
@@ -193,23 +193,23 @@
             "latency": {
                 "unit": "s",
                 "values": [
-                    0.013349444999988691,
-                    0.013094262000009849,
-                    0.013194006000020408
+                    0.014803266000001258,
+                    0.01589367299999367,
+                    0.014701376000004984
                 ],
                 "count": 3,
-                "total": 0.03963771300001895,
-                "mean": 0.013212571000006315,
-                "p50": 0.013194006000020408,
-                "p90": 0.013318357199995034,
-                "p95": 0.013333901099991862,
-                "p99": 0.013346336219989326,
-                "stdev": 0.00010500185804041131,
-                "stdev_": 0.7947117789593042
+                "total": 0.04539831499999991,
+                "mean": 0.015132771666666637,
+                "p50": 0.014803266000001258,
+                "p90": 0.015675591599995188,
+                "p95": 0.01578463229999443,
+                "p99": 0.015871864859993822,
+                "stdev": 0.0005396440322527132,
+                "stdev_": 3.5660620812868116
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 454.1129807360832
+                "value": 396.4904864861182
             },
             "energy": null,
             "efficiency": null