IlyasMoutawwakil's picture
Upload cuda_training_transformers_text-classification_FacebookAI/roberta-base/benchmark.json with huggingface_hub
791ad7d verified
raw
history blame
7.77 kB
{
"config": {
"name": "cuda_training_transformers_text-classification_FacebookAI/roberta-base",
"backend": {
"name": "pytorch",
"version": "2.5.1+cu124",
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
"task": "text-classification",
"library": "transformers",
"model_type": "roberta",
"model": "FacebookAI/roberta-base",
"processor": "FacebookAI/roberta-base",
"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-5.10.228-219.884.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": 1329.8688,
"max_global_vram": 3384.27904,
"max_process_vram": 0.0,
"max_reserved": 2728.394752,
"max_allocated": 2516.250112
},
"latency": {
"unit": "s",
"values": [
0.3421890563964844,
0.04677017593383789,
0.046205951690673826,
0.04654694366455078,
0.04604620742797851
],
"count": 5,
"total": 0.5277583351135253,
"mean": 0.10555166702270506,
"p50": 0.04654694366455078,
"p90": 0.2240215042114258,
"p95": 0.28310528030395504,
"p99": 0.3303723011779785,
"stdev": 0.11831896616577636,
"stdev_": 112.09578162353888
},
"throughput": {
"unit": "samples/s",
"value": 94.74033221899674
},
"energy": {
"unit": "kWh",
"cpu": 8.568181451389655e-06,
"ram": 4.650179886426839e-06,
"gpu": 1.4687233971999968e-05,
"total": 2.7905595309816462e-05
},
"efficiency": {
"unit": "samples/kWh",
"value": 358351.0722124699
}
},
"warmup": {
"memory": {
"unit": "MB",
"max_ram": 1329.8688,
"max_global_vram": 3384.27904,
"max_process_vram": 0.0,
"max_reserved": 2728.394752,
"max_allocated": 2516.250112
},
"latency": {
"unit": "s",
"values": [
0.3421890563964844,
0.04677017593383789
],
"count": 2,
"total": 0.38895923233032226,
"mean": 0.19447961616516113,
"p50": 0.19447961616516113,
"p90": 0.3126471683502198,
"p95": 0.32741811237335205,
"p99": 0.33923486759185795,
"stdev": 0.14770944023132324,
"stdev_": 75.95111670000496
},
"throughput": {
"unit": "samples/s",
"value": 20.56770821988364
},
"energy": null,
"efficiency": null
},
"train": {
"memory": {
"unit": "MB",
"max_ram": 1329.8688,
"max_global_vram": 3384.27904,
"max_process_vram": 0.0,
"max_reserved": 2728.394752,
"max_allocated": 2516.250112
},
"latency": {
"unit": "s",
"values": [
0.046205951690673826,
0.04654694366455078,
0.04604620742797851
],
"count": 3,
"total": 0.13879910278320312,
"mean": 0.04626636759440104,
"p50": 0.046205951690673826,
"p90": 0.04647874526977539,
"p95": 0.046512844467163084,
"p99": 0.04654012382507324,
"stdev": 0.00020884085762692161,
"stdev_": 0.45138805677970417
},
"throughput": {
"unit": "samples/s",
"value": 129.68383540717156
},
"energy": null,
"efficiency": null
}
}
}