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cpu_training_transformers_text-classification_FacebookAI/roberta-base/benchmark_config.json
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@@ -50,6 +50,7 @@
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"per_device_train_batch_size": 2,
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"gradient_accumulation_steps": 1,
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"output_dir": "./trainer_output",
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"do_train": true,
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"use_cpu": false,
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"max_steps": 5,
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@@ -75,14 +76,14 @@
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"environment": {
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"cpu": " AMD EPYC 7763 64-Core Processor",
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"cpu_count": 4,
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"cpu_ram_mb": 16757.
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"system": "Linux",
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"machine": "x86_64",
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"platform": "Linux-6.5.0-1022-azure-x86_64-with-glibc2.35",
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"processor": "x86_64",
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"python_version": "3.10.14",
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"optimum_benchmark_version": "0.2.1",
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"optimum_benchmark_commit": "
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"transformers_version": "4.42.3",
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"transformers_commit": null,
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"accelerate_version": "0.31.0",
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"per_device_train_batch_size": 2,
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"gradient_accumulation_steps": 1,
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"output_dir": "./trainer_output",
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"evaluation_strategy": "no",
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"do_train": true,
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"use_cpu": false,
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"max_steps": 5,
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"environment": {
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"cpu": " AMD EPYC 7763 64-Core Processor",
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"cpu_count": 4,
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"cpu_ram_mb": 16757.338112,
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"system": "Linux",
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"machine": "x86_64",
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"platform": "Linux-6.5.0-1022-azure-x86_64-with-glibc2.35",
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"processor": "x86_64",
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"python_version": "3.10.14",
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"optimum_benchmark_version": "0.2.1",
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"optimum_benchmark_commit": "43734676b09236e2ae4d7c19f90e8e23d1f2f201",
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"transformers_version": "4.42.3",
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"transformers_commit": null,
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"accelerate_version": "0.31.0",
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