IlyasMoutawwakil's picture
Upload cuda_training_transformers_token-classification_microsoft/deberta-v3-base/benchmark.json with huggingface_hub
a08dab3 verified
raw
history blame
7.93 kB
{
"config": {
"name": "cuda_training_transformers_token-classification_microsoft/deberta-v3-base",
"backend": {
"name": "pytorch",
"version": "2.3.1+rocm5.7",
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
"task": "token-classification",
"library": "transformers",
"model_type": "deberta-v2",
"model": "microsoft/deberta-v3-base",
"processor": "microsoft/deberta-v3-base",
"device": "cuda",
"device_ids": "5",
"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": "warn",
"numactl": false,
"numactl_kwargs": {},
"start_method": "spawn"
},
"environment": {
"cpu": " AMD EPYC 7763 64-Core Processor",
"cpu_count": 128,
"cpu_ram_mb": 1082014.490624,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-5.15.0-122-generic-x86_64-with-glibc2.35",
"processor": "x86_64",
"python_version": "3.10.12",
"gpu": [
"Advanced Micro Devices, Inc. [AMD/ATI]",
"Advanced Micro Devices, Inc. [AMD/ATI]",
"Advanced Micro Devices, Inc. [AMD/ATI]",
"Advanced Micro Devices, Inc. [AMD/ATI]",
"Advanced Micro Devices, Inc. [AMD/ATI]",
"Advanced Micro Devices, Inc. [AMD/ATI]",
"Advanced Micro Devices, Inc. [AMD/ATI]",
"Advanced Micro Devices, Inc. [AMD/ATI]"
],
"gpu_count": 8,
"gpu_vram_mb": 549621596160,
"optimum_benchmark_version": "0.5.0.dev0",
"optimum_benchmark_commit": null,
"transformers_version": "4.46.3",
"transformers_commit": null,
"accelerate_version": "1.1.1",
"accelerate_commit": null,
"diffusers_version": "0.31.0",
"diffusers_commit": null,
"optimum_version": null,
"optimum_commit": null,
"timm_version": "1.0.11",
"timm_commit": null,
"peft_version": "0.13.2",
"peft_commit": null
},
"print_report": true,
"log_report": true
},
"report": {
"overall": {
"memory": {
"unit": "MB",
"max_ram": 1353.326592,
"max_global_vram": 68702.69952,
"max_process_vram": 413886.611456,
"max_reserved": 3919.577088,
"max_allocated": 3695.353344
},
"latency": {
"unit": "s",
"values": [
0.640206298828125,
0.07363697814941406,
0.07300241851806641,
0.07255137634277344,
0.07524737548828125
],
"count": 5,
"total": 0.9346444473266602,
"mean": 0.18692888946533204,
"p50": 0.07363697814941406,
"p90": 0.4142227294921875,
"p95": 0.5272145141601561,
"p99": 0.6176079418945312,
"stdev": 0.22664054529720148,
"stdev_": 121.2442581483556
},
"throughput": {
"unit": "samples/s",
"value": 53.49627887162197
},
"energy": null,
"efficiency": null
},
"warmup": {
"memory": {
"unit": "MB",
"max_ram": 1353.326592,
"max_global_vram": 68702.69952,
"max_process_vram": 413886.611456,
"max_reserved": 3919.577088,
"max_allocated": 3695.353344
},
"latency": {
"unit": "s",
"values": [
0.640206298828125,
0.07363697814941406
],
"count": 2,
"total": 0.713843276977539,
"mean": 0.3569216384887695,
"p50": 0.3569216384887695,
"p90": 0.5835493667602539,
"p95": 0.6118778327941894,
"p99": 0.6345406056213378,
"stdev": 0.28328466033935545,
"stdev_": 79.36886694199936
},
"throughput": {
"unit": "samples/s",
"value": 11.206941716776466
},
"energy": null,
"efficiency": null
},
"train": {
"memory": {
"unit": "MB",
"max_ram": 1353.326592,
"max_global_vram": 68702.69952,
"max_process_vram": 413886.611456,
"max_reserved": 3919.577088,
"max_allocated": 3695.353344
},
"latency": {
"unit": "s",
"values": [
0.07300241851806641,
0.07255137634277344,
0.07524737548828125
],
"count": 3,
"total": 0.2208011703491211,
"mean": 0.0736003901163737,
"p50": 0.07300241851806641,
"p90": 0.07479838409423828,
"p95": 0.07502287979125977,
"p99": 0.07520247634887696,
"stdev": 0.0011790618791879567,
"stdev_": 1.6019777576228547
},
"throughput": {
"unit": "samples/s",
"value": 81.52130702721907
},
"energy": null,
"efficiency": null
}
}
}