IlyasMoutawwakil's picture
Upload cpu_training_transformers_token-classification_microsoft/deberta-v3-base/file.json with huggingface_hub
b635218 verified
raw
history blame
6.94 kB
{
"config": {
"name": "cpu_training_transformers_token-classification_microsoft/deberta-v3-base",
"backend": {
"name": "pytorch",
"version": "2.3.0+cpu",
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
"task": "token-classification",
"model": "microsoft/deberta-v3-base",
"library": "transformers",
"device": "cpu",
"device_ids": null,
"seed": 42,
"inter_op_num_threads": null,
"intra_op_num_threads": null,
"hub_kwargs": {
"revision": "main",
"force_download": false,
"local_files_only": false,
"trust_remote_code": false
},
"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": false,
"device_isolation_action": "error",
"start_method": "spawn"
},
"environment": {
"cpu": " AMD EPYC 7763 64-Core Processor",
"cpu_count": 4,
"cpu_ram_mb": 16757.346304,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-6.5.0-1018-azure-x86_64-with-glibc2.35",
"processor": "x86_64",
"python_version": "3.10.14",
"optimum_benchmark_version": "0.2.0",
"optimum_benchmark_commit": "2e77e02d1fd3ab0d2e788c3d89c12299219a25e8",
"transformers_version": "4.40.2",
"transformers_commit": null,
"accelerate_version": "0.30.0",
"accelerate_commit": null,
"diffusers_version": "0.27.2",
"diffusers_commit": null,
"optimum_version": null,
"optimum_commit": null,
"timm_version": "0.9.16",
"timm_commit": null,
"peft_version": null,
"peft_commit": null
}
},
"report": {
"overall": {
"memory": {
"unit": "MB",
"max_ram": 4374.970368,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"count": 5,
"total": 5.583659903000068,
"mean": 1.1167319806000138,
"stdev": 0.07853258776030796,
"p50": 1.0731834320000075,
"p90": 1.2025418994000006,
"p95": 1.2374836681999908,
"p99": 1.265437083239983,
"values": [
1.2724254369999812,
1.0731834320000075,
1.0977165930000297,
1.0711078369999996,
1.0692266040000504
]
},
"throughput": {
"unit": "samples/s",
"value": 8.954700119385008
},
"energy": null,
"efficiency": null
},
"warmup": {
"memory": {
"unit": "MB",
"max_ram": 4374.970368,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"count": 2,
"total": 2.3456088689999888,
"mean": 1.1728044344999944,
"stdev": 0.09962100249998684,
"p50": 1.1728044344999944,
"p90": 1.252501236499984,
"p95": 1.2624633367499825,
"p99": 1.2704330169499816,
"values": [
1.2724254369999812,
1.0731834320000075
]
},
"throughput": {
"unit": "samples/s",
"value": 3.4106283045436583
},
"energy": null,
"efficiency": null
},
"train": {
"memory": {
"unit": "MB",
"max_ram": 4374.970368,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"count": 3,
"total": 3.2380510340000797,
"mean": 1.0793503446666932,
"stdev": 0.01300958794585394,
"p50": 1.0711078369999996,
"p90": 1.0923948418000236,
"p95": 1.0950557174000266,
"p99": 1.097184417880029,
"values": [
1.0977165930000297,
1.0711078369999996,
1.0692266040000504
]
},
"throughput": {
"unit": "samples/s",
"value": 5.558899415419021
},
"energy": null,
"efficiency": null
}
}
}