IlyasMoutawwakil's picture
Upload cuda_training_transformers_fill-mask_google-bert/bert-base-uncased/benchmark.json with huggingface_hub
f1f201b verified
raw
history blame
7.03 kB
{
"config": {
"name": "cuda_training_transformers_fill-mask_google-bert/bert-base-uncased",
"backend": {
"name": "pytorch",
"version": "2.3.0+cu121",
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
"task": "fill-mask",
"library": "transformers",
"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": {},
"hub_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",
"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",
"start_method": "spawn"
},
"environment": {
"cpu": " AMD EPYC 7R32",
"cpu_count": 16,
"cpu_ram_mb": 66697.29792,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-5.10.215-203.850.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": "0.2.0",
"optimum_benchmark_commit": null,
"transformers_version": "4.40.2",
"transformers_commit": null,
"accelerate_version": "0.30.1",
"accelerate_commit": null,
"diffusers_version": "0.27.2",
"diffusers_commit": null,
"optimum_version": null,
"optimum_commit": null,
"timm_version": "1.0.3",
"timm_commit": null,
"peft_version": null,
"peft_commit": null
}
},
"report": {
"overall": {
"memory": {
"unit": "MB",
"max_ram": 1078.21056,
"max_global_vram": 3169.32096,
"max_process_vram": 0.0,
"max_reserved": 2520.776704,
"max_allocated": 2211.86048
},
"latency": {
"unit": "s",
"count": 5,
"total": 0.8734996223449706,
"mean": 0.17469992446899413,
"stdev": 0.2542868015182964,
"p50": 0.0477470703125,
"p90": 0.42914015960693364,
"p95": 0.5562066764831541,
"p99": 0.6578598899841308,
"values": [
0.683273193359375,
0.04794060897827149,
0.04707430267333984,
0.0477470703125,
0.04746444702148438
]
},
"throughput": {
"unit": "samples/s",
"value": 57.2410092929079
},
"energy": null,
"efficiency": null
},
"warmup": {
"memory": {
"unit": "MB",
"max_ram": 1078.21056,
"max_global_vram": 3169.32096,
"max_process_vram": 0.0,
"max_reserved": 2520.776704,
"max_allocated": 2211.86048
},
"latency": {
"unit": "s",
"count": 2,
"total": 0.7312138023376464,
"mean": 0.3656069011688232,
"stdev": 0.31766629219055176,
"p50": 0.3656069011688232,
"p90": 0.6197399349212647,
"p95": 0.6515065641403198,
"p99": 0.676919867515564,
"values": [
0.683273193359375,
0.04794060897827149
]
},
"throughput": {
"unit": "samples/s",
"value": 10.940712517220657
},
"energy": null,
"efficiency": null
},
"train": {
"memory": {
"unit": "MB",
"max_ram": 1078.21056,
"max_global_vram": 3169.32096,
"max_process_vram": 0.0,
"max_reserved": 2520.776704,
"max_allocated": 2211.86048
},
"latency": {
"unit": "s",
"count": 3,
"total": 0.1422858200073242,
"mean": 0.047428606669108066,
"stdev": 0.0002758229773110851,
"p50": 0.04746444702148438,
"p90": 0.047690545654296874,
"p95": 0.04771880798339844,
"p99": 0.047741417846679686,
"values": [
0.04707430267333984,
0.0477470703125,
0.04746444702148438
]
},
"throughput": {
"unit": "samples/s",
"value": 126.50593009952394
},
"energy": null,
"efficiency": null
}
}
}