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

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

@@ -0,0 +1,99 @@
+{
+    "name": "cpu_training_transformers_fill-mask_google-bert/bert-base-uncased",
+    "backend": {
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+        "version": "2.3.0+cpu",
+        "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
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+        "torch_dtype": null,
+        "eval_mode": true,
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+        "autocast_enabled": false,
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+        "torch_compile_target": "forward",
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+        "quantization_config": {},
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+        "deepspeed_inference_config": {},
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+        "peft_config": {}
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+    "scenario": {
+        "name": "training",
+        "_target_": "optimum_benchmark.scenarios.training.scenario.TrainingScenario",
+        "max_steps": 5,
+        "warmup_steps": 2,
+        "dataset_shapes": {
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+            "num_choices": 1
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+        "training_arguments": {
+            "per_device_train_batch_size": 2,
+            "gradient_accumulation_steps": 1,
+            "output_dir": "./trainer_output",
+            "do_train": true,
+            "use_cpu": false,
+            "max_steps": 5,
+            "do_eval": false,
+            "do_predict": false,
+            "report_to": "none",
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+            "ddp_find_unused_parameters": false
+        },
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+        "memory": true,
+        "energy": false
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+    "launcher": {
+        "name": "process",
+        "_target_": "optimum_benchmark.launchers.process.launcher.ProcessLauncher",
+        "device_isolation": false,
+        "device_isolation_action": "error",
+        "start_method": "spawn"
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+        "cpu_count": 4,
+        "cpu_ram_mb": 16757.346304,
+        "system": "Linux",
+        "machine": "x86_64",
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+        "diffusers_version": "0.27.2",
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+        "timm_version": "0.9.16",
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+        "peft_version": null,
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+}