IlyasMoutawwakil's picture
Upload cpu_training_transformers_text-classification_FacebookAI/roberta-base/benchmark.json with huggingface_hub
190cbda verified
raw
history blame
7.05 kB
{
"config": {
"name": "cpu_training_transformers_text-classification_FacebookAI/roberta-base",
"backend": {
"name": "pytorch",
"version": "2.4.1+cpu",
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
"task": "text-classification",
"library": "transformers",
"model_type": "roberta",
"model": "FacebookAI/roberta-base",
"processor": "FacebookAI/roberta-base",
"device": "cpu",
"device_ids": null,
"seed": 42,
"inter_op_num_threads": null,
"intra_op_num_threads": null,
"model_kwargs": {},
"processor_kwargs": {},
"no_weights": true,
"device_map": null,
"torch_dtype": null,
"eval_mode": true,
"to_bettertransformer": false,
"low_cpu_mem_usage": null,
"attn_implementation": null,
"cache_implementation": null,
"autocast_enabled": false,
"autocast_dtype": null,
"torch_compile": false,
"torch_compile_target": "forward",
"torch_compile_config": {},
"quantization_scheme": null,
"quantization_config": {},
"deepspeed_inference": false,
"deepspeed_inference_config": {},
"peft_type": null,
"peft_config": {}
},
"scenario": {
"name": "training",
"_target_": "optimum_benchmark.scenarios.training.scenario.TrainingScenario",
"max_steps": 5,
"warmup_steps": 2,
"dataset_shapes": {
"dataset_size": 500,
"sequence_length": 16,
"num_choices": 1
},
"training_arguments": {
"per_device_train_batch_size": 2,
"gradient_accumulation_steps": 1,
"output_dir": "./trainer_output",
"evaluation_strategy": "no",
"eval_strategy": "no",
"save_strategy": "no",
"do_train": true,
"use_cpu": false,
"max_steps": 5,
"do_eval": false,
"do_predict": false,
"report_to": "none",
"skip_memory_metrics": true,
"ddp_find_unused_parameters": false
},
"latency": true,
"memory": true,
"energy": false
},
"launcher": {
"name": "process",
"_target_": "optimum_benchmark.launchers.process.launcher.ProcessLauncher",
"device_isolation": false,
"device_isolation_action": null,
"numactl": false,
"numactl_kwargs": {},
"start_method": "spawn"
},
"environment": {
"cpu": " AMD EPYC 7763 64-Core Processor",
"cpu_count": 4,
"cpu_ram_mb": 16766.7712,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-6.8.0-1014-azure-x86_64-with-glibc2.35",
"processor": "x86_64",
"python_version": "3.10.15",
"optimum_benchmark_version": "0.4.0",
"optimum_benchmark_commit": "bc6b1314d94ac7fc9d09d6a43b8d9da44d426d87",
"transformers_version": "4.44.2",
"transformers_commit": null,
"accelerate_version": "0.34.2",
"accelerate_commit": null,
"diffusers_version": "0.30.3",
"diffusers_commit": null,
"optimum_version": null,
"optimum_commit": null,
"timm_version": "1.0.9",
"timm_commit": null,
"peft_version": null,
"peft_commit": null
}
},
"report": {
"overall": {
"memory": {
"unit": "MB",
"max_ram": 2868.375552,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"count": 5,
"total": 3.067229970000028,
"mean": 0.6134459940000057,
"stdev": 0.05149635975727472,
"p50": 0.5960575650000237,
"p90": 0.6677332014000058,
"p95": 0.6915507782000077,
"p99": 0.7106048396400092,
"values": [
0.7153683550000096,
0.581334011000024,
0.5960575650000237,
0.5781895679999707,
0.596280471
]
},
"throughput": {
"unit": "samples/s",
"value": 16.301353497794473
},
"energy": null,
"efficiency": null
},
"warmup": {
"memory": {
"unit": "MB",
"max_ram": 2868.375552,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"count": 2,
"total": 1.2967023660000336,
"mean": 0.6483511830000168,
"stdev": 0.0670171719999928,
"p50": 0.6483511830000168,
"p90": 0.701964920600011,
"p95": 0.7086666378000104,
"p99": 0.7140280115600097,
"values": [
0.7153683550000096,
0.581334011000024
]
},
"throughput": {
"unit": "samples/s",
"value": 6.169495953553148
},
"energy": null,
"efficiency": null
},
"train": {
"memory": {
"unit": "MB",
"max_ram": 2868.375552,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"count": 3,
"total": 1.7705276039999944,
"mean": 0.5901758679999981,
"stdev": 0.008476082528275279,
"p50": 0.5960575650000237,
"p90": 0.5962358898000047,
"p95": 0.5962581804000024,
"p99": 0.5962760128800005,
"values": [
0.5960575650000237,
0.5781895679999707,
0.596280471
]
},
"throughput": {
"unit": "samples/s",
"value": 10.166461092916153
},
"energy": null,
"efficiency": null
}
}
}