IlyasMoutawwakil's picture
Upload cuda_training_transformers_image-classification_google/vit-base-patch16-224/benchmark.json with huggingface_hub
876c234 verified
raw
history blame
7.79 kB
{
"config": {
"name": "cuda_training_transformers_image-classification_google/vit-base-patch16-224",
"backend": {
"name": "pytorch",
"version": "2.5.1+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": true
},
"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": 66697.248768,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-5.10.227-219.884.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": "0.5.0.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": 1729.712128,
"max_global_vram": 2618.81856,
"max_process_vram": 0.0,
"max_reserved": 1956.642816,
"max_allocated": 1755.291648
},
"latency": {
"unit": "s",
"values": [
0.336110595703125,
0.04012134552001953,
0.040414207458496096,
0.039959552764892575,
0.039913471221923826
],
"count": 5,
"total": 0.4965191726684571,
"mean": 0.09930383453369142,
"p50": 0.04012134552001953,
"p90": 0.21783204040527349,
"p95": 0.27697131805419917,
"p99": 0.32428274017333986,
"stdev": 0.11840351037990764,
"stdev_": 119.23357334175869
},
"throughput": {
"unit": "samples/s",
"value": 100.70104590580779
},
"energy": {
"unit": "kWh",
"cpu": 9.84043112291586e-06,
"ram": 5.351073682594105e-06,
"gpu": 1.915251532200006e-05,
"total": 3.4344020127510026e-05
},
"efficiency": {
"unit": "samples/kWh",
"value": 291171.5041766431
}
},
"warmup": {
"memory": {
"unit": "MB",
"max_ram": 1729.712128,
"max_global_vram": 2618.81856,
"max_process_vram": 0.0,
"max_reserved": 1956.642816,
"max_allocated": 1755.291648
},
"latency": {
"unit": "s",
"values": [
0.336110595703125,
0.04012134552001953
],
"count": 2,
"total": 0.3762319412231445,
"mean": 0.18811597061157226,
"p50": 0.18811597061157226,
"p90": 0.30651167068481444,
"p95": 0.3213111331939697,
"p99": 0.333150703201294,
"stdev": 0.14799462509155276,
"stdev_": 78.67201525230236
},
"throughput": {
"unit": "samples/s",
"value": 21.26347904963011
},
"energy": null,
"efficiency": null
},
"train": {
"memory": {
"unit": "MB",
"max_ram": 1729.712128,
"max_global_vram": 2618.81856,
"max_process_vram": 0.0,
"max_reserved": 1956.642816,
"max_allocated": 1755.291648
},
"latency": {
"unit": "s",
"values": [
0.040414207458496096,
0.039959552764892575,
0.039913471221923826
],
"count": 3,
"total": 0.1202872314453125,
"mean": 0.04009574381510417,
"p50": 0.039959552764892575,
"p90": 0.040323276519775395,
"p95": 0.040368741989135745,
"p99": 0.040405114364624024,
"stdev": 0.0002259722641866211,
"stdev_": 0.5635816739768194
},
"throughput": {
"unit": "samples/s",
"value": 149.64181803605263
},
"energy": null,
"efficiency": null
}
}
}