IlyasMoutawwakil's picture
Upload cuda_training_transformers_text-generation_openai-community/gpt2/benchmark.json with huggingface_hub
82b5699 verified
raw
history blame
7.74 kB
{
"config": {
"name": "cuda_training_transformers_text-generation_openai-community/gpt2",
"backend": {
"name": "pytorch",
"version": "2.5.1+cu124",
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
"task": "text-generation",
"library": "transformers",
"model_type": "gpt2",
"model": "openai-community/gpt2",
"processor": "openai-community/gpt2",
"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": 1358.19264,
"max_global_vram": 3566.731264,
"max_process_vram": 0.0,
"max_reserved": 2910.846976,
"max_allocated": 2523.776
},
"latency": {
"unit": "s",
"values": [
0.36726577758789064,
0.04645580673217774,
0.04509900665283203,
0.044455936431884766,
0.0442367057800293
],
"count": 5,
"total": 0.5475132331848144,
"mean": 0.10950264663696288,
"p50": 0.04509900665283203,
"p90": 0.23894178924560552,
"p95": 0.303103783416748,
"p99": 0.3544333787536621,
"stdev": 0.1288838873461337,
"stdev_": 117.69933540823536
},
"throughput": {
"unit": "samples/s",
"value": 91.32199364233884
},
"energy": {
"unit": "kWh",
"cpu": 8.815630936805383e-06,
"ram": 4.811756360088665e-06,
"gpu": 1.449806715399975e-05,
"total": 2.81254544508938e-05
},
"efficiency": {
"unit": "samples/kWh",
"value": 355549.81049140735
}
},
"warmup": {
"memory": {
"unit": "MB",
"max_ram": 1358.19264,
"max_global_vram": 3566.731264,
"max_process_vram": 0.0,
"max_reserved": 2910.846976,
"max_allocated": 2523.776
},
"latency": {
"unit": "s",
"values": [
0.36726577758789064,
0.04645580673217774
],
"count": 2,
"total": 0.4137215843200684,
"mean": 0.2068607921600342,
"p50": 0.2068607921600342,
"p90": 0.33518478050231937,
"p95": 0.351225279045105,
"p99": 0.3640576778793335,
"stdev": 0.16040498542785644,
"stdev_": 77.54247856875747
},
"throughput": {
"unit": "samples/s",
"value": 19.336675443577874
},
"energy": null,
"efficiency": null
},
"train": {
"memory": {
"unit": "MB",
"max_ram": 1358.19264,
"max_global_vram": 3566.731264,
"max_process_vram": 0.0,
"max_reserved": 2910.846976,
"max_allocated": 2523.776
},
"latency": {
"unit": "s",
"values": [
0.04509900665283203,
0.044455936431884766,
0.0442367057800293
],
"count": 3,
"total": 0.1337916488647461,
"mean": 0.0445972162882487,
"p50": 0.044455936431884766,
"p90": 0.04497039260864258,
"p95": 0.0450346996307373,
"p99": 0.04508614524841308,
"stdev": 0.00036593323359118137,
"stdev_": 0.8205293156102307
},
"throughput": {
"unit": "samples/s",
"value": 134.5375451512428
},
"energy": null,
"efficiency": null
}
}
}