
IlyasMoutawwakil
HF staff
Upload cuda_training_transformers_fill-mask_google-bert/bert-base-uncased/benchmark.json with huggingface_hub
6ae0daa
verified
{ | |
"config": { | |
"name": "cuda_training_transformers_fill-mask_google-bert/bert-base-uncased", | |
"backend": { | |
"name": "pytorch", | |
"version": "2.3.1+cu121", | |
"_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 7R32", | |
"cpu_count": 16, | |
"cpu_ram_mb": 66697.293824, | |
"system": "Linux", | |
"machine": "x86_64", | |
"platform": "Linux-5.10.219-208.866.amzn2.x86_64-x86_64-with-glibc2.35", | |
"processor": "x86_64", | |
"python_version": "3.10.12", | |
"gpu": [ | |
"NVIDIA A10G" | |
], | |
"gpu_count": 1, | |
"gpu_vram_mb": 24146608128, | |
"optimum_benchmark_version": "0.3.1", | |
"optimum_benchmark_commit": null, | |
"transformers_version": "4.43.1", | |
"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": "1.0.7", | |
"timm_commit": null, | |
"peft_version": null, | |
"peft_commit": null | |
} | |
}, | |
"report": { | |
"overall": { | |
"memory": { | |
"unit": "MB", | |
"max_ram": 1103.945728, | |
"max_global_vram": 3169.32096, | |
"max_process_vram": 0.0, | |
"max_reserved": 2520.776704, | |
"max_allocated": 2211.86048 | |
}, | |
"latency": { | |
"unit": "s", | |
"count": 5, | |
"total": 0.9402951622009278, | |
"mean": 0.18805903244018557, | |
"stdev": 0.2914586142220337, | |
"p50": 0.04238025665283203, | |
"p90": 0.47978210754394535, | |
"p95": 0.6253789382934569, | |
"p99": 0.7418564028930663, | |
"values": [ | |
0.7709757690429687, | |
0.04299161529541016, | |
0.04238025665283203, | |
0.041867263793945314, | |
0.04208025741577148 | |
] | |
}, | |
"throughput": { | |
"unit": "samples/s", | |
"value": 53.17479235239934 | |
}, | |
"energy": null, | |
"efficiency": null | |
}, | |
"warmup": { | |
"memory": { | |
"unit": "MB", | |
"max_ram": 1103.945728, | |
"max_global_vram": 3169.32096, | |
"max_process_vram": 0.0, | |
"max_reserved": 2520.776704, | |
"max_allocated": 2211.86048 | |
}, | |
"latency": { | |
"unit": "s", | |
"count": 2, | |
"total": 0.8139673843383789, | |
"mean": 0.40698369216918945, | |
"stdev": 0.36399207687377927, | |
"p50": 0.40698369216918945, | |
"p90": 0.6981773536682129, | |
"p95": 0.7345765613555908, | |
"p99": 0.7636959275054931, | |
"values": [ | |
0.7709757690429687, | |
0.04299161529541016 | |
] | |
}, | |
"throughput": { | |
"unit": "samples/s", | |
"value": 9.828403636225154 | |
}, | |
"energy": null, | |
"efficiency": null | |
}, | |
"train": { | |
"memory": { | |
"unit": "MB", | |
"max_ram": 1103.945728, | |
"max_global_vram": 3169.32096, | |
"max_process_vram": 0.0, | |
"max_reserved": 2520.776704, | |
"max_allocated": 2211.86048 | |
}, | |
"latency": { | |
"unit": "s", | |
"count": 3, | |
"total": 0.12632777786254884, | |
"mean": 0.04210925928751628, | |
"stdev": 0.00021043011467106675, | |
"p50": 0.04208025741577148, | |
"p90": 0.04232025680541992, | |
"p95": 0.04235025672912598, | |
"p99": 0.04237425666809082, | |
"values": [ | |
0.04238025665283203, | |
0.041867263793945314, | |
0.04208025741577148 | |
] | |
}, | |
"throughput": { | |
"unit": "samples/s", | |
"value": 142.4864768822652 | |
}, | |
"energy": null, | |
"efficiency": null | |
} | |
} | |
} |