Upload cuda_training_transformers_fill-mask_hf-internal-testing/tiny-random-BertModel/benchmark.json with huggingface_hub

cuda_training_transformers_fill-mask_hf-internal-testing/tiny-random-BertModel/benchmark.json

@@ -3,7 +3,7 @@
         "name": "cuda_training_transformers_fill-mask_hf-internal-testing/tiny-random-BertModel",
         "backend": {
             "name": "pytorch",
-            "version": "2.8.0+cu128",
+            "version": "2.8.0",
             "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
             "model": "hf-internal-testing/tiny-random-BertModel",
             "processor": "hf-internal-testing/tiny-random-BertModel",
@@ -80,12 +80,12 @@
         "environment": {
             "cpu": " AMD EPYC 7R32",
             "cpu_count": 16,
-            "cpu_ram_mb": 66697.240576,
+            "cpu_ram_mb": 66697.248768,
             "system": "Linux",
             "machine": "x86_64",
             "platform": "Linux-5.10.240-238.959.amzn2.x86_64-x86_64-with-glibc2.35",
             "processor": "x86_64",
-            "python_version": "3.10.12",
+            "python_version": "3.10.18",
             "gpu": [
                 "NVIDIA A10G"
             ],
@@ -93,7 +93,7 @@
             "gpu_vram_mb": 24146608128,
             "optimum_benchmark_version": "0.6.0.dev0",
             "optimum_benchmark_commit": null,
-            "transformers_version": "4.55.2",
+            "transformers_version": "4.52.4",
             "transformers_commit": null,
             "accelerate_version": "1.10.0",
             "accelerate_commit": null,
@@ -103,7 +103,7 @@
             "optimum_commit": null,
             "timm_version": "1.0.19",
             "timm_commit": null,
-            "peft_version": null,
+            "peft_version": "0.17.0",
             "peft_commit": null
         },
         "print_report": true,
@@ -113,75 +113,75 @@
         "overall": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 1421.078528,
+                "max_ram": 1465.888768,
                 "max_global_vram": 681.050112,
                 "max_process_vram": 0.0,
                 "max_reserved": 25.165824,
-                "max_allocated": 19.698688
+                "max_allocated": 19.652608
             },
             "latency": {
                 "unit": "s",
                 "values": [
-                    0.24303001403808594,
-                    0.012717056274414062,
-                    0.011675647735595703,
-                    0.012120063781738282,
-                    0.011635711669921875
+                    0.33296383666992185,
+                    0.014942208290100097,
+                    0.01425715160369873,
+                    0.013239295959472656,
+                    0.013312000274658203
                 ],
                 "count": 5,
-                "total": 0.2911784934997559,
-                "mean": 0.058235698699951176,
-                "p50": 0.012120063781738282,
-                "p90": 0.1509048309326172,
-                "p95": 0.1969674224853515,
-                "p99": 0.23381749572753904,
-                "stdev": 0.09239798126633078,
-                "stdev_": 158.66209786954656
+                "total": 0.38871449279785153,
+                "mean": 0.07774289855957031,
+                "p50": 0.01425715160369873,
+                "p90": 0.2057551853179932,
+                "p95": 0.26935951099395744,
+                "p99": 0.32024297153472897,
+                "stdev": 0.1276120287566864,
+                "stdev_": 164.1462192960351
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 171.71597874223468
+                "value": 128.62911192251886
             },
             "energy": {
                 "unit": "kWh",
-                "cpu": 6.385778165278212e-06,
-                "ram": 3.4983174107306073e-06,
-                "gpu": 8.28861774200009e-06,
-                "total": 1.817271331800891e-05
+                "cpu": 7.121209994444419e-06,
+                "ram": 3.3497548444444193e-06,
+                "gpu": 1.0518063970000463e-05,
+                "total": 2.09890288088893e-05
             },
             "efficiency": {
                 "unit": "samples/kWh",
-                "value": 550275.5601217864
+                "value": 476439.3860741564
             }
         },
         "warmup": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 1421.078528,
+                "max_ram": 1465.888768,
                 "max_global_vram": 681.050112,
                 "max_process_vram": 0.0,
                 "max_reserved": 25.165824,
-                "max_allocated": 19.698688
+                "max_allocated": 19.652608
             },
             "latency": {
                 "unit": "s",
                 "values": [
-                    0.24303001403808594,
-                    0.012717056274414062
+                    0.33296383666992185,
+                    0.014942208290100097
                 ],
                 "count": 2,
-                "total": 0.2557470703125,
-                "mean": 0.12787353515625,
-                "p50": 0.12787353515625,
-                "p90": 0.21999871826171877,
-                "p95": 0.23151436614990234,
-                "p99": 0.2407268844604492,
-                "stdev": 0.11515647888183593,
-                "stdev_": 90.05497403440441
+                "total": 0.347906044960022,
+                "mean": 0.173953022480011,
+                "p50": 0.173953022480011,
+                "p90": 0.3011616738319397,
+                "p95": 0.31706275525093075,
+                "p99": 0.32978362038612363,
+                "stdev": 0.1590108141899109,
+                "stdev_": 91.41020484894587
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 31.280905741069553
+                "value": 22.99471399216212
             },
             "energy": null,
             "efficiency": null
@@ -189,32 +189,32 @@
         "train": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 1421.078528,
+                "max_ram": 1465.888768,
                 "max_global_vram": 681.050112,
                 "max_process_vram": 0.0,
                 "max_reserved": 25.165824,
-                "max_allocated": 19.698688
+                "max_allocated": 19.652608
             },
             "latency": {
                 "unit": "s",
                 "values": [
-                    0.011675647735595703,
-                    0.012120063781738282,
-                    0.011635711669921875
+                    0.01425715160369873,
+                    0.013239295959472656,
+                    0.013312000274658203
                 ],
                 "count": 3,
-                "total": 0.03543142318725586,
-                "mean": 0.011810474395751953,
-                "p50": 0.011675647735595703,
-                "p90": 0.012031180572509766,
-                "p95": 0.012075622177124025,
-                "p99": 0.012111175460815431,
-                "stdev": 0.00021951903983014032,
-                "stdev_": 1.8586809680489882
+                "total": 0.04080844783782959,
+                "mean": 0.013602815945943196,
+                "p50": 0.013312000274658203,
+                "p90": 0.014068121337890625,
+                "p95": 0.014162636470794679,
+                "p99": 0.01423824857711792,
+                "stdev": 0.00046363623968180453,
+                "stdev_": 3.408384275169701
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 508.02362368764017
+                "value": 441.0851417709137
             },
             "energy": null,
             "efficiency": null