IlyasMoutawwakil's picture
Upload cpu_training_transformers_token-classification_microsoft/deberta-v3-base/benchmark.json with huggingface_hub
a099db8 verified
raw
history blame
7.08 kB
{
"config": {
"name": "cpu_training_transformers_token-classification_microsoft/deberta-v3-base",
"backend": {
"name": "pytorch",
"version": "2.4.1+cpu",
"_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": "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": "48c7a5c5ecfb9d600879956361b0bce30aa19302",
"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": 4408.152064,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"count": 5,
"total": 6.068379254999968,
"mean": 1.2136758509999936,
"stdev": 0.07564017203432205,
"p50": 1.1769279599999436,
"p90": 1.2924770482000212,
"p95": 1.3285664286000383,
"p99": 1.3574379329200519,
"values": [
1.3646558090000553,
1.1719857809999894,
1.1706007980000095,
1.1769279599999436,
1.1842089069999702
]
},
"throughput": {
"unit": "samples/s",
"value": 8.239432293029989
},
"energy": null,
"efficiency": null
},
"warmup": {
"memory": {
"unit": "MB",
"max_ram": 4408.152064,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"count": 2,
"total": 2.5366415900000447,
"mean": 1.2683207950000224,
"stdev": 0.09633501400003297,
"p50": 1.2683207950000224,
"p90": 1.3453888062000487,
"p95": 1.355022307600052,
"p99": 1.3627291087200546,
"values": [
1.3646558090000553,
1.1719857809999894
]
},
"throughput": {
"unit": "samples/s",
"value": 3.153776249485785
},
"energy": null,
"efficiency": null
},
"train": {
"memory": {
"unit": "MB",
"max_ram": 4408.152064,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"count": 3,
"total": 3.5317376649999233,
"mean": 1.1772458883333077,
"stdev": 0.005560033960182227,
"p50": 1.1769279599999436,
"p90": 1.1827527175999648,
"p95": 1.1834808122999676,
"p99": 1.1840632880599697,
"values": [
1.1706007980000095,
1.1769279599999436,
1.1842089069999702
]
},
"throughput": {
"unit": "samples/s",
"value": 5.096641287483733
},
"energy": null,
"efficiency": null
}
}
}