IlyasMoutawwakil
HF staff
Upload cuda_training_transformers_token-classification_microsoft/deberta-v3-base/benchmark.json with huggingface_hub
a82b8bf
verified
| { | |
| "config": { | |
| "name": "cuda_training_transformers_token-classification_microsoft/deberta-v3-base", | |
| "backend": { | |
| "name": "pytorch", | |
| "version": "2.2.2+rocm5.7", | |
| "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend", | |
| "task": "token-classification", | |
| "library": "transformers", | |
| "model": "microsoft/deberta-v3-base", | |
| "processor": "microsoft/deberta-v3-base", | |
| "device": "cuda", | |
| "device_ids": "0", | |
| "seed": 42, | |
| "inter_op_num_threads": null, | |
| "intra_op_num_threads": null, | |
| "model_kwargs": {}, | |
| "processor_kwargs": {}, | |
| "hub_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", | |
| "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": "error", | |
| "start_method": "spawn" | |
| }, | |
| "environment": { | |
| "cpu": " AMD EPYC 7763 64-Core Processor", | |
| "cpu_count": 128, | |
| "cpu_ram_mb": 1082015.236096, | |
| "system": "Linux", | |
| "machine": "x86_64", | |
| "platform": "Linux-5.15.0-84-generic-x86_64-with-glibc2.35", | |
| "processor": "x86_64", | |
| "python_version": "3.10.12", | |
| "gpu": [ | |
| "Advanced Micro Devices, Inc. [AMD/ATI]" | |
| ], | |
| "gpu_count": 1, | |
| "gpu_vram_mb": 68702699520, | |
| "optimum_benchmark_version": "0.2.0", | |
| "optimum_benchmark_commit": "14fc8ac8cd252f949be10158bdcefa6a3b7c596a", | |
| "transformers_version": "4.40.2", | |
| "transformers_commit": null, | |
| "accelerate_version": "0.30.1", | |
| "accelerate_commit": null, | |
| "diffusers_version": "0.27.2", | |
| "diffusers_commit": null, | |
| "optimum_version": null, | |
| "optimum_commit": null, | |
| "timm_version": "1.0.3", | |
| "timm_commit": null, | |
| "peft_version": null, | |
| "peft_commit": null | |
| } | |
| }, | |
| "report": { | |
| "overall": { | |
| "memory": { | |
| "unit": "MB", | |
| "max_ram": 1142.566912, | |
| "max_global_vram": 5353.611264, | |
| "max_process_vram": 427313.229824, | |
| "max_reserved": 3919.577088, | |
| "max_allocated": 3695.353344 | |
| }, | |
| "latency": { | |
| "unit": "s", | |
| "count": 5, | |
| "total": 0.8528244552612305, | |
| "mean": 0.1705648910522461, | |
| "stdev": 0.19901153135238922, | |
| "p50": 0.07096794128417969, | |
| "p90": 0.369914306640625, | |
| "p95": 0.46925061035156235, | |
| "p99": 0.5487196533203125, | |
| "values": [ | |
| 0.5685869140625, | |
| 0.0719053955078125, | |
| 0.07096794128417969, | |
| 0.07056858062744141, | |
| 0.07079562377929688 | |
| ] | |
| }, | |
| "throughput": { | |
| "unit": "samples/s", | |
| "value": 58.628712733952256 | |
| }, | |
| "energy": null, | |
| "efficiency": null | |
| }, | |
| "warmup": { | |
| "memory": { | |
| "unit": "MB", | |
| "max_ram": 1142.566912, | |
| "max_global_vram": 5353.611264, | |
| "max_process_vram": 427313.229824, | |
| "max_reserved": 3919.577088, | |
| "max_allocated": 3695.353344 | |
| }, | |
| "latency": { | |
| "unit": "s", | |
| "count": 2, | |
| "total": 0.6404923095703124, | |
| "mean": 0.3202461547851562, | |
| "stdev": 0.24834075927734373, | |
| "p50": 0.3202461547851562, | |
| "p90": 0.5189187622070313, | |
| "p95": 0.5437528381347656, | |
| "p99": 0.5636200988769531, | |
| "values": [ | |
| 0.5685869140625, | |
| 0.0719053955078125 | |
| ] | |
| }, | |
| "throughput": { | |
| "unit": "samples/s", | |
| "value": 12.490391969525701 | |
| }, | |
| "energy": null, | |
| "efficiency": null | |
| }, | |
| "train": { | |
| "memory": { | |
| "unit": "MB", | |
| "max_ram": 1142.566912, | |
| "max_global_vram": 5353.611264, | |
| "max_process_vram": 427313.229824, | |
| "max_reserved": 3919.577088, | |
| "max_allocated": 3695.353344 | |
| }, | |
| "latency": { | |
| "unit": "s", | |
| "count": 3, | |
| "total": 0.21233214569091796, | |
| "mean": 0.07077738189697265, | |
| "stdev": 0.0001635477672132413, | |
| "p50": 0.07079562377929688, | |
| "p90": 0.07093347778320312, | |
| "p95": 0.07095070953369141, | |
| "p99": 0.07096449493408204, | |
| "values": [ | |
| 0.07096794128417969, | |
| 0.07056858062744141, | |
| 0.07079562377929688 | |
| ] | |
| }, | |
| "throughput": { | |
| "unit": "samples/s", | |
| "value": 84.77284464596221 | |
| }, | |
| "energy": null, | |
| "efficiency": null | |
| } | |
| } | |
| } |