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

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

@@ -112,7 +112,7 @@
         "overall": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 1389.52704,
+                "max_ram": 1390.104576,
                 "max_global_vram": 699.92448,
                 "max_process_vram": 0.0,
                 "max_reserved": 44.040192,
@@ -121,42 +121,42 @@
             "latency": {
                 "unit": "s",
                 "values": [
-                    0.27212594604492185,
-                    0.009615360260009765,
-                    0.008654848098754882,
-                    0.008620991706848144,
-                    0.008895487785339355
+                    0.26662496948242187,
+                    0.009670623779296875,
+                    0.008516608238220215,
+                    0.008489983558654785,
+                    0.00849612808227539
                 ],
                 "count": 5,
-                "total": 0.307912633895874,
-                "mean": 0.06158252677917479,
-                "p50": 0.008895487785339355,
-                "p90": 0.16712171173095702,
-                "p95": 0.21962382888793938,
-                "p99": 0.26162552261352534,
-                "stdev": 0.10527231852466797,
-                "stdev_": 170.94511061905249
+                "total": 0.30179831314086913,
+                "mean": 0.06035966262817383,
+                "p50": 0.008516608238220215,
+                "p90": 0.1638432312011719,
+                "p95": 0.21523410034179682,
+                "p99": 0.25634679565429686,
+                "stdev": 0.10313364880769832,
+                "stdev_": 170.8651843252004
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 162.38372348472188
+                "value": 165.67355688519606
             },
             "energy": {
                 "unit": "kWh",
-                "cpu": 6.171852030555336e-06,
-                "ram": 3.3603316282186876e-06,
-                "gpu": 8.143339847999954e-06,
-                "total": 1.7675523506773978e-05
+                "cpu": 6.0077436520832435e-06,
+                "ram": 3.2733489342979992e-06,
+                "gpu": 7.768617325999792e-06,
+                "total": 1.7049709912381036e-05
             },
             "efficiency": {
                 "unit": "samples/kWh",
-                "value": 565754.1060194112
+                "value": 586520.2429478447
             }
         },
         "warmup": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 1389.52704,
+                "max_ram": 1390.104576,
                 "max_global_vram": 699.92448,
                 "max_process_vram": 0.0,
                 "max_reserved": 44.040192,
@@ -165,22 +165,22 @@
             "latency": {
                 "unit": "s",
                 "values": [
-                    0.27212594604492185,
-                    0.009615360260009765
+                    0.26662496948242187,
+                    0.009670623779296875
                 ],
                 "count": 2,
-                "total": 0.2817413063049316,
-                "mean": 0.1408706531524658,
-                "p50": 0.1408706531524658,
-                "p90": 0.24587488746643066,
-                "p95": 0.25900041675567625,
-                "p99": 0.2695008401870727,
-                "stdev": 0.13125529289245605,
-                "stdev_": 93.1743340114971
+                "total": 0.27629559326171876,
+                "mean": 0.13814779663085938,
+                "p50": 0.13814779663085938,
+                "p90": 0.2409295349121094,
+                "p95": 0.2537772521972656,
+                "p99": 0.2640554260253906,
+                "stdev": 0.12847717285156252,
+                "stdev_": 92.9997987552871
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 28.394842435143378
+                "value": 28.954497267070288
             },
             "energy": null,
             "efficiency": null
@@ -188,7 +188,7 @@
         "train": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 1389.52704,
+                "max_ram": 1390.104576,
                 "max_global_vram": 699.92448,
                 "max_process_vram": 0.0,
                 "max_reserved": 44.040192,
@@ -197,23 +197,23 @@
             "latency": {
                 "unit": "s",
                 "values": [
-                    0.008654848098754882,
-                    0.008620991706848144,
-                    0.008895487785339355
+                    0.008516608238220215,
+                    0.008489983558654785,
+                    0.00849612808227539
                 ],
                 "count": 3,
-                "total": 0.02617132759094238,
-                "mean": 0.00872377586364746,
-                "p50": 0.008654848098754882,
-                "p90": 0.00884735984802246,
-                "p95": 0.008871423816680907,
-                "p99": 0.008890674991607665,
-                "stdev": 0.00012220284191070225,
-                "stdev_": 1.4008021735167386
+                "total": 0.025502719879150388,
+                "mean": 0.008500906626383463,
+                "p50": 0.00849612808227539,
+                "p90": 0.00851251220703125,
+                "p95": 0.008514560222625731,
+                "p99": 0.008516198635101318,
+                "stdev": 1.1382567177781096e-05,
+                "stdev_": 0.13389827318481648
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 687.7755794944698
+                "value": 705.8070701986497
             },
             "energy": null,
             "efficiency": null