IlyasMoutawwakil's picture
Upload cuda_training_transformers_image-classification_google/vit-base-patch16-224/benchmark.json with huggingface_hub
a303fb9 verified
raw
history blame
7.27 kB
{
"config": {
"name": "cuda_training_transformers_image-classification_google/vit-base-patch16-224",
"backend": {
"name": "pytorch",
"version": "2.4.1+cu124",
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
"task": "image-classification",
"library": "transformers",
"model_type": "vit",
"model": "google/vit-base-patch16-224",
"processor": "google/vit-base-patch16-224",
"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": 66697.252864,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-5.10.223-212.873.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": "0.4.0",
"optimum_benchmark_commit": null,
"transformers_version": "4.44.2",
"transformers_commit": null,
"accelerate_version": "0.34.0",
"accelerate_commit": null,
"diffusers_version": "0.30.2",
"diffusers_commit": null,
"optimum_version": null,
"optimum_commit": null,
"timm_version": "1.0.9",
"timm_commit": null,
"peft_version": "0.12.0",
"peft_commit": null
}
},
"report": {
"overall": {
"memory": {
"unit": "MB",
"max_ram": 1622.540288,
"max_global_vram": 2611.478528,
"max_process_vram": 0.0,
"max_reserved": 1956.642816,
"max_allocated": 1755.291648
},
"latency": {
"unit": "s",
"count": 5,
"total": 0.4857946090698242,
"mean": 0.09715892181396484,
"stdev": 0.11456728251486563,
"p50": 0.039932926177978514,
"p90": 0.21178648223876956,
"p95": 0.26903993911743157,
"p99": 0.3148427046203613,
"values": [
0.32629339599609375,
0.0400261116027832,
0.039932926177978514,
0.03972496032714844,
0.03981721496582031
]
},
"throughput": {
"unit": "samples/s",
"value": 102.92415573679907
},
"energy": null,
"efficiency": null
},
"warmup": {
"memory": {
"unit": "MB",
"max_ram": 1622.540288,
"max_global_vram": 2611.478528,
"max_process_vram": 0.0,
"max_reserved": 1956.642816,
"max_allocated": 1755.291648
},
"latency": {
"unit": "s",
"count": 2,
"total": 0.36631950759887694,
"mean": 0.18315975379943847,
"stdev": 0.14313364219665525,
"p50": 0.18315975379943847,
"p90": 0.2976666675567627,
"p95": 0.3119800317764282,
"p99": 0.32343072315216065,
"values": [
0.32629339599609375,
0.0400261116027832
]
},
"throughput": {
"unit": "samples/s",
"value": 21.8388587941652
},
"energy": null,
"efficiency": null
},
"train": {
"memory": {
"unit": "MB",
"max_ram": 1622.540288,
"max_global_vram": 2611.478528,
"max_process_vram": 0.0,
"max_reserved": 1956.642816,
"max_allocated": 1755.291648
},
"latency": {
"unit": "s",
"count": 3,
"total": 0.11947510147094725,
"mean": 0.03982503382364908,
"stdev": 8.508152827799732e-05,
"p50": 0.03981721496582031,
"p90": 0.03990978393554687,
"p95": 0.03992135505676269,
"p99": 0.03993061195373535,
"values": [
0.039932926177978514,
0.03972496032714844,
0.03981721496582031
]
},
"throughput": {
"unit": "samples/s",
"value": 150.65900575424126
},
"energy": null,
"efficiency": null
}
}
}