Upload cpu_training_transformers_fill-mask_google-bert/bert-base-uncased/benchmark.json with huggingface_hub

cpu_training_transformers_fill-mask_google-bert/bert-base-uncased/benchmark.json

@@ -3,7 +3,7 @@
         "name": "cpu_training_transformers_fill-mask_google-bert/bert-base-uncased",
         "backend": {
             "name": "pytorch",
-            "version": "2.3.0+cpu",
+            "version": "2.3.1+cpu",
             "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
             "task": "fill-mask",
             "library": "transformers",
@@ -76,23 +76,23 @@
         "environment": {
             "cpu": " AMD EPYC 7763 64-Core Processor",
             "cpu_count": 4,
-            "cpu_ram_mb": 16757.354496,
+            "cpu_ram_mb": 16757.338112,
             "system": "Linux",
             "machine": "x86_64",
-            "platform": "Linux-6.5.0-1021-azure-x86_64-with-glibc2.35",
+            "platform": "Linux-6.5.0-1022-azure-x86_64-with-glibc2.35",
             "processor": "x86_64",
             "python_version": "3.10.14",
             "optimum_benchmark_version": "0.2.1",
-            "optimum_benchmark_commit": "347e13ca9f7f904f55669603cfb9f0b6c7e8672c",
-            "transformers_version": "4.41.1",
+            "optimum_benchmark_commit": "d920fe9626db1e7915f6d3574b5b54b0159cd100",
+            "transformers_version": "4.42.3",
             "transformers_commit": null,
-            "accelerate_version": "0.30.1",
+            "accelerate_version": "0.31.0",
             "accelerate_commit": null,
-            "diffusers_version": "0.27.2",
+            "diffusers_version": "0.29.2",
             "diffusers_commit": null,
             "optimum_version": null,
             "optimum_commit": null,
-            "timm_version": "1.0.3",
+            "timm_version": "1.0.7",
             "timm_commit": null,
             "peft_version": null,
             "peft_commit": null
@@ -102,7 +102,7 @@
         "overall": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 2467.688448,
+                "max_ram": 2487.169024,
                 "max_global_vram": null,
                 "max_process_vram": null,
                 "max_reserved": null,
@@ -111,24 +111,24 @@
             "latency": {
                 "unit": "s",
                 "count": 5,
-                "total": 2.948843576999991,
-                "mean": 0.5897687153999982,
-                "stdev": 0.04447695658495729,
-                "p50": 0.5693590459999882,
-                "p90": 0.6359335120000082,
-                "p95": 0.6571748630000229,
-                "p99": 0.6741679438000346,
+                "total": 2.939482110999961,
+                "mean": 0.5878964221999923,
+                "stdev": 0.04492635069489912,
+                "p50": 0.5568921339999804,
+                "p90": 0.6431827867999971,
+                "p95": 0.6564342933999967,
+                "p99": 0.6670354986799965,
                 "values": [
-                    0.6784162140000376,
-                    0.5693590459999882,
-                    0.5722094589999642,
-                    0.5609958910000046,
-                    0.5678629669999964
+                    0.6696857999999963,
+                    0.5540631849999897,
+                    0.5554127249999965,
+                    0.6034282669999982,
+                    0.5568921339999804
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 16.95579934791507
+                "value": 17.009799043475333
             },
             "energy": null,
             "efficiency": null
@@ -136,7 +136,7 @@
         "warmup": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 2467.688448,
+                "max_ram": 2487.169024,
                 "max_global_vram": null,
                 "max_process_vram": null,
                 "max_reserved": null,
@@ -145,21 +145,21 @@
             "latency": {
                 "unit": "s",
                 "count": 2,
-                "total": 1.2477752600000258,
-                "mean": 0.6238876300000129,
-                "stdev": 0.054528584000024694,
-                "p50": 0.6238876300000129,
-                "p90": 0.6675104972000326,
-                "p95": 0.6729633556000352,
-                "p99": 0.6773256423200371,
+                "total": 1.223748984999986,
+                "mean": 0.611874492499993,
+                "stdev": 0.057811307500003295,
+                "p50": 0.611874492499993,
+                "p90": 0.6581235384999957,
+                "p95": 0.663904669249996,
+                "p99": 0.6685295738499962,
                 "values": [
-                    0.6784162140000376,
-                    0.5693590459999882
+                    0.6696857999999963,
+                    0.5540631849999897
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 6.411410977967166
+                "value": 6.537288363920556
             },
             "energy": null,
             "efficiency": null
@@ -167,7 +167,7 @@
         "train": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 2467.688448,
+                "max_ram": 2487.169024,
                 "max_global_vram": null,
                 "max_process_vram": null,
                 "max_reserved": null,
@@ -176,22 +176,22 @@
             "latency": {
                 "unit": "s",
                 "count": 3,
-                "total": 1.7010683169999652,
-                "mean": 0.5670227723333218,
-                "stdev": 0.004616309646666637,
-                "p50": 0.5678629669999964,
-                "p90": 0.5713401605999706,
-                "p95": 0.5717748097999674,
-                "p99": 0.5721225291599649,
+                "total": 1.715733125999975,
+                "mean": 0.5719110419999917,
+                "stdev": 0.02229422595685684,
+                "p50": 0.5568921339999804,
+                "p90": 0.5941210403999946,
+                "p95": 0.5987746536999964,
+                "p99": 0.6024975443399978,
                 "values": [
-                    0.5722094589999642,
-                    0.5609958910000046,
-                    0.5678629669999964
+                    0.5554127249999965,
+                    0.6034282669999982,
+                    0.5568921339999804
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 10.5815855954246
+                "value": 10.491142082198314
             },
             "energy": null,
             "efficiency": null