IlyasMoutawwakil
HF staff
Upload cuda_training_transformers_fill-mask_google-bert/bert-base-uncased/benchmark.json with huggingface_hub
1eebfb6
verified
{ | |
"config": { | |
"name": "cuda_training_transformers_fill-mask_google-bert/bert-base-uncased", | |
"backend": { | |
"name": "pytorch", | |
"version": "2.2.2+rocm5.7", | |
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend", | |
"task": "fill-mask", | |
"library": "transformers", | |
"model_type": "bert", | |
"model": "google-bert/bert-base-uncased", | |
"processor": "google-bert/bert-base-uncased", | |
"device": "cuda", | |
"device_ids": "0", | |
"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": true, | |
"device_isolation_action": "error", | |
"numactl": false, | |
"numactl_kwargs": {}, | |
"start_method": "spawn" | |
}, | |
"environment": { | |
"cpu": " AMD EPYC 7643 48-Core Processor", | |
"cpu_count": 96, | |
"cpu_ram_mb": 1082028.982272, | |
"system": "Linux", | |
"machine": "x86_64", | |
"platform": "Linux-5.15.0-84-generic-x86_64-with-glibc2.35", | |
"processor": "x86_64", | |
"python_version": "3.10.12", | |
"gpu": [ | |
"Advanced Micro Devices, Inc. [AMD/ATI]" | |
], | |
"gpu_count": 1, | |
"gpu_vram_mb": 68702699520, | |
"optimum_benchmark_version": "0.3.1", | |
"optimum_benchmark_commit": "aa06eb5e1bf688ecb03b7568e9e816d4af962b61", | |
"transformers_version": "4.43.3", | |
"transformers_commit": null, | |
"accelerate_version": "0.33.0", | |
"accelerate_commit": null, | |
"diffusers_version": "0.29.2", | |
"diffusers_commit": null, | |
"optimum_version": null, | |
"optimum_commit": null, | |
"timm_version": "1.0.8", | |
"timm_commit": null, | |
"peft_version": null, | |
"peft_commit": null | |
} | |
}, | |
"report": { | |
"overall": { | |
"memory": { | |
"unit": "MB", | |
"max_ram": 1135.710208, | |
"max_global_vram": 2953.179136, | |
"max_process_vram": 283903.34464, | |
"max_reserved": 2497.708032, | |
"max_allocated": 2195.345408 | |
}, | |
"latency": { | |
"unit": "s", | |
"count": 5, | |
"total": 0.6207805633544923, | |
"mean": 0.12415611267089846, | |
"stdev": 0.16874245391243559, | |
"p50": 0.039929584503173826, | |
"p90": 0.29305649719238286, | |
"p95": 0.37734856109619136, | |
"p99": 0.4447822122192383, | |
"values": [ | |
0.461640625, | |
0.04018030548095703, | |
0.039588302612304685, | |
0.039929584503173826, | |
0.03944174575805664 | |
] | |
}, | |
"throughput": { | |
"unit": "samples/s", | |
"value": 80.54375886032349 | |
}, | |
"energy": null, | |
"efficiency": null | |
}, | |
"warmup": { | |
"memory": { | |
"unit": "MB", | |
"max_ram": 1135.710208, | |
"max_global_vram": 2953.179136, | |
"max_process_vram": 283903.34464, | |
"max_reserved": 2497.708032, | |
"max_allocated": 2195.345408 | |
}, | |
"latency": { | |
"unit": "s", | |
"count": 2, | |
"total": 0.5018209304809571, | |
"mean": 0.25091046524047855, | |
"stdev": 0.2107301597595215, | |
"p50": 0.25091046524047855, | |
"p90": 0.4194945930480957, | |
"p95": 0.44056760902404785, | |
"p99": 0.45742602180480957, | |
"values": [ | |
0.461640625, | |
0.04018030548095703 | |
] | |
}, | |
"throughput": { | |
"unit": "samples/s", | |
"value": 15.941941664993148 | |
}, | |
"energy": null, | |
"efficiency": null | |
}, | |
"train": { | |
"memory": { | |
"unit": "MB", | |
"max_ram": 1135.710208, | |
"max_global_vram": 2953.179136, | |
"max_process_vram": 283903.34464, | |
"max_reserved": 2497.708032, | |
"max_allocated": 2195.345408 | |
}, | |
"latency": { | |
"unit": "s", | |
"count": 3, | |
"total": 0.11895963287353514, | |
"mean": 0.03965321095784505, | |
"stdev": 0.00020437951674922257, | |
"p50": 0.039588302612304685, | |
"p90": 0.039861328125, | |
"p95": 0.03989545631408691, | |
"p99": 0.03992275886535644, | |
"values": [ | |
0.039588302612304685, | |
0.039929584503173826, | |
0.03944174575805664 | |
] | |
}, | |
"throughput": { | |
"unit": "samples/s", | |
"value": 151.3118321333055 | |
}, | |
"energy": null, | |
"efficiency": null | |
} | |
} | |
} |