IlyasMoutawwakil
HF staff
Upload cpu_training_transformers_text-generation_openai-community/gpt2/benchmark.json with huggingface_hub
382a8c7
verified
{ | |
"config": { | |
"name": "cpu_training_transformers_text-generation_openai-community/gpt2", | |
"backend": { | |
"name": "pytorch", | |
"version": "2.4.1+cpu", | |
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend", | |
"task": "text-generation", | |
"library": "transformers", | |
"model_type": "gpt2", | |
"model": "openai-community/gpt2", | |
"processor": "openai-community/gpt2", | |
"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": 2841.391104, | |
"max_global_vram": null, | |
"max_process_vram": null, | |
"max_reserved": null, | |
"max_allocated": null | |
}, | |
"latency": { | |
"unit": "s", | |
"count": 5, | |
"total": 3.179743032000033, | |
"mean": 0.6359486064000066, | |
"stdev": 0.04656009098620535, | |
"p50": 0.6135733730000084, | |
"p90": 0.6844125226000187, | |
"p95": 0.7066006368000216, | |
"p99": 0.724351128160024, | |
"values": [ | |
0.7287887510000246, | |
0.61784818000001, | |
0.6065553070000078, | |
0.6129774209999823, | |
0.6135733730000084 | |
] | |
}, | |
"throughput": { | |
"unit": "samples/s", | |
"value": 15.72454110184822 | |
}, | |
"energy": null, | |
"efficiency": null | |
}, | |
"warmup": { | |
"memory": { | |
"unit": "MB", | |
"max_ram": 2841.391104, | |
"max_global_vram": null, | |
"max_process_vram": null, | |
"max_reserved": null, | |
"max_allocated": null | |
}, | |
"latency": { | |
"unit": "s", | |
"count": 2, | |
"total": 1.3466369310000346, | |
"mean": 0.6733184655000173, | |
"stdev": 0.05547028550000732, | |
"p50": 0.6733184655000173, | |
"p90": 0.7176946939000232, | |
"p95": 0.7232417224500238, | |
"p99": 0.7276793452900244, | |
"values": [ | |
0.7287887510000246, | |
0.61784818000001 | |
] | |
}, | |
"throughput": { | |
"unit": "samples/s", | |
"value": 5.940725236206815 | |
}, | |
"energy": null, | |
"efficiency": null | |
}, | |
"train": { | |
"memory": { | |
"unit": "MB", | |
"max_ram": 2841.391104, | |
"max_global_vram": null, | |
"max_process_vram": null, | |
"max_reserved": null, | |
"max_allocated": null | |
}, | |
"latency": { | |
"unit": "s", | |
"count": 3, | |
"total": 1.8331061009999985, | |
"mean": 0.6110353669999995, | |
"stdev": 0.0031772097716107088, | |
"p50": 0.6129774209999823, | |
"p90": 0.6134541826000032, | |
"p95": 0.6135137778000057, | |
"p99": 0.6135614539600078, | |
"values": [ | |
0.6065553070000078, | |
0.6129774209999823, | |
0.6135733730000084 | |
] | |
}, | |
"throughput": { | |
"unit": "samples/s", | |
"value": 9.819398882683668 | |
}, | |
"energy": null, | |
"efficiency": null | |
} | |
} | |
} |