IlyasMoutawwakil
HF staff
Upload cuda_training_transformers_text-classification_FacebookAI/roberta-base/benchmark.json with huggingface_hub
c0323ab
verified
| { | |
| "config": { | |
| "name": "cuda_training_transformers_text-classification_FacebookAI/roberta-base", | |
| "backend": { | |
| "name": "pytorch", | |
| "version": "2.3.1+rocm5.7", | |
| "_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": "6", | |
| "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": "warn", | |
| "numactl": false, | |
| "numactl_kwargs": {}, | |
| "start_method": "spawn" | |
| }, | |
| "environment": { | |
| "cpu": " AMD EPYC 7763 64-Core Processor", | |
| "cpu_count": 128, | |
| "cpu_ram_mb": 1082015.256576, | |
| "system": "Linux", | |
| "machine": "x86_64", | |
| "platform": "Linux-5.15.0-101-generic-x86_64-with-glibc2.35", | |
| "processor": "x86_64", | |
| "python_version": "3.10.12", | |
| "gpu": [ | |
| "Advanced Micro Devices, Inc. [AMD/ATI]", | |
| "Advanced Micro Devices, Inc. [AMD/ATI]", | |
| "Advanced Micro Devices, Inc. [AMD/ATI]", | |
| "Advanced Micro Devices, Inc. [AMD/ATI]", | |
| "Advanced Micro Devices, Inc. [AMD/ATI]", | |
| "Advanced Micro Devices, Inc. [AMD/ATI]", | |
| "Advanced Micro Devices, Inc. [AMD/ATI]", | |
| "Advanced Micro Devices, Inc. [AMD/ATI]" | |
| ], | |
| "gpu_count": 8, | |
| "gpu_vram_mb": 549621596160, | |
| "optimum_benchmark_version": "0.4.0", | |
| "optimum_benchmark_commit": null, | |
| "transformers_version": "4.44.2", | |
| "transformers_commit": null, | |
| "accelerate_version": "0.34.2", | |
| "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": 1279.217664, | |
| "max_global_vram": 68702.69952, | |
| "max_process_vram": 281503.96928, | |
| "max_reserved": 2707.423232, | |
| "max_allocated": 2497.900032 | |
| }, | |
| "latency": { | |
| "unit": "s", | |
| "count": 5, | |
| "total": 0.7869849433898927, | |
| "mean": 0.15739698867797852, | |
| "stdev": 0.22716099061822348, | |
| "p50": 0.043722145080566405, | |
| "p90": 0.38481925201416023, | |
| "p95": 0.4982688484191894, | |
| "p99": 0.5890285255432129, | |
| "values": [ | |
| 0.6117184448242188, | |
| 0.04447046279907227, | |
| 0.04349494552612305, | |
| 0.04357894515991211, | |
| 0.043722145080566405 | |
| ] | |
| }, | |
| "throughput": { | |
| "unit": "samples/s", | |
| "value": 63.533617027827574 | |
| }, | |
| "energy": null, | |
| "efficiency": null, | |
| "measures": null | |
| }, | |
| "warmup": { | |
| "memory": { | |
| "unit": "MB", | |
| "max_ram": 1279.217664, | |
| "max_global_vram": 68702.69952, | |
| "max_process_vram": 281503.96928, | |
| "max_reserved": 2707.423232, | |
| "max_allocated": 2497.900032 | |
| }, | |
| "latency": { | |
| "unit": "s", | |
| "count": 2, | |
| "total": 0.6561889076232911, | |
| "mean": 0.32809445381164554, | |
| "stdev": 0.2836239910125733, | |
| "p50": 0.32809445381164554, | |
| "p90": 0.5549936466217041, | |
| "p95": 0.5833560457229614, | |
| "p99": 0.6060459650039673, | |
| "values": [ | |
| 0.6117184448242188, | |
| 0.04447046279907227 | |
| ] | |
| }, | |
| "throughput": { | |
| "unit": "samples/s", | |
| "value": 12.191611145906004 | |
| }, | |
| "energy": null, | |
| "efficiency": null, | |
| "measures": null | |
| }, | |
| "train": { | |
| "memory": { | |
| "unit": "MB", | |
| "max_ram": 1279.217664, | |
| "max_global_vram": 68702.69952, | |
| "max_process_vram": 281503.96928, | |
| "max_reserved": 2707.423232, | |
| "max_allocated": 2497.900032 | |
| }, | |
| "latency": { | |
| "unit": "s", | |
| "count": 3, | |
| "total": 0.13079603576660156, | |
| "mean": 0.043598678588867186, | |
| "stdev": 9.379753212303873e-05, | |
| "p50": 0.04357894515991211, | |
| "p90": 0.04369350509643555, | |
| "p95": 0.043707825088500976, | |
| "p99": 0.04371928108215332, | |
| "values": [ | |
| 0.04349494552612305, | |
| 0.04357894515991211, | |
| 0.043722145080566405 | |
| ] | |
| }, | |
| "throughput": { | |
| "unit": "samples/s", | |
| "value": 137.61884979541753 | |
| }, | |
| "energy": null, | |
| "efficiency": null, | |
| "measures": null | |
| } | |
| } | |
| } |