IlyasMoutawwakil
HF staff
Upload cuda_training_transformers_text-classification_FacebookAI/roberta-base/benchmark.json with huggingface_hub
3f92dea
verified
| { | |
| "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": "4.47.0", | |
| "transformers_commit": null, | |
| "accelerate_version": "1.2.0", | |
| "accelerate_commit": null, | |
| "diffusers_version": "0.31.0", | |
| "diffusers_commit": null, | |
| "optimum_version": null, | |
| "optimum_commit": null, | |
| "timm_version": "1.0.12", | |
| "timm_commit": null, | |
| "peft_version": "0.14.0", | |
| "peft_commit": null | |
| }, | |
| "print_report": true, | |
| "log_report": true | |
| }, | |
| "report": { | |
| "overall": { | |
| "memory": { | |
| "unit": "MB", | |
| "max_ram": 1329.086464, | |
| "max_global_vram": 3384.27904, | |
| "max_process_vram": 0.0, | |
| "max_reserved": 2728.394752, | |
| "max_allocated": 2516.250112 | |
| }, | |
| "latency": { | |
| "unit": "s", | |
| "values": [ | |
| 0.34796646118164065, | |
| 0.046794750213623046, | |
| 0.04680089569091797, | |
| 0.04788633728027344, | |
| 0.046489601135253904 | |
| ], | |
| "count": 5, | |
| "total": 0.535938045501709, | |
| "mean": 0.1071876091003418, | |
| "p50": 0.04680089569091797, | |
| "p90": 0.2279344116210938, | |
| "p95": 0.28795043640136714, | |
| "p99": 0.3359632562255859, | |
| "stdev": 0.12039036272135614, | |
| "stdev_": 112.31742524329917 | |
| }, | |
| "throughput": { | |
| "unit": "samples/s", | |
| "value": 93.2943656821254 | |
| }, | |
| "energy": { | |
| "unit": "kWh", | |
| "cpu": 8.688927788194987e-06, | |
| "ram": 4.7211709520318445e-06, | |
| "gpu": 1.4968900864000337e-05, | |
| "total": 2.837899960422717e-05 | |
| }, | |
| "efficiency": { | |
| "unit": "samples/kWh", | |
| "value": 352373.2386433544 | |
| } | |
| }, | |
| "warmup": { | |
| "memory": { | |
| "unit": "MB", | |
| "max_ram": 1329.086464, | |
| "max_global_vram": 3384.27904, | |
| "max_process_vram": 0.0, | |
| "max_reserved": 2728.394752, | |
| "max_allocated": 2516.250112 | |
| }, | |
| "latency": { | |
| "unit": "s", | |
| "values": [ | |
| 0.34796646118164065, | |
| 0.046794750213623046 | |
| ], | |
| "count": 2, | |
| "total": 0.3947612113952637, | |
| "mean": 0.19738060569763186, | |
| "p50": 0.19738060569763186, | |
| "p90": 0.3178492900848389, | |
| "p95": 0.33290787563323976, | |
| "p99": 0.3449547440719605, | |
| "stdev": 0.1505858554840088, | |
| "stdev_": 76.29212351019527 | |
| }, | |
| "throughput": { | |
| "unit": "samples/s", | |
| "value": 20.265415570401156 | |
| }, | |
| "energy": null, | |
| "efficiency": null | |
| }, | |
| "train": { | |
| "memory": { | |
| "unit": "MB", | |
| "max_ram": 1329.086464, | |
| "max_global_vram": 3384.27904, | |
| "max_process_vram": 0.0, | |
| "max_reserved": 2728.394752, | |
| "max_allocated": 2516.250112 | |
| }, | |
| "latency": { | |
| "unit": "s", | |
| "values": [ | |
| 0.04680089569091797, | |
| 0.04788633728027344, | |
| 0.046489601135253904 | |
| ], | |
| "count": 3, | |
| "total": 0.14117683410644533, | |
| "mean": 0.04705894470214844, | |
| "p50": 0.04680089569091797, | |
| "p90": 0.04766924896240234, | |
| "p95": 0.04777779312133789, | |
| "p99": 0.04786462844848633, | |
| "stdev": 0.0005986985517764195, | |
| "stdev_": 1.2722311466306349 | |
| }, | |
| "throughput": { | |
| "unit": "samples/s", | |
| "value": 127.49967169846191 | |
| }, | |
| "energy": null, | |
| "efficiency": null | |
| } | |
| } | |
| } |