IlyasMoutawwakil
HF staff
Upload cuda_inference_transformers_token-classification_microsoft/deberta-v3-base/benchmark.json with huggingface_hub
8851d05
verified
| { | |
| "config": { | |
| "name": "cuda_inference_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": "inference", | |
| "_target_": "optimum_benchmark.scenarios.inference.scenario.InferenceScenario", | |
| "iterations": 1, | |
| "duration": 1, | |
| "warmup_runs": 1, | |
| "input_shapes": { | |
| "batch_size": 1, | |
| "num_choices": 2, | |
| "sequence_length": 2 | |
| }, | |
| "new_tokens": null, | |
| "latency": true, | |
| "memory": true, | |
| "energy": false, | |
| "forward_kwargs": {}, | |
| "generate_kwargs": { | |
| "max_new_tokens": 2, | |
| "min_new_tokens": 2 | |
| }, | |
| "call_kwargs": { | |
| "num_inference_steps": 2 | |
| } | |
| }, | |
| "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": "0.2.1", | |
| "optimum_benchmark_commit": "c1d0b062e90b79e7705510c58cea731c0d90da8a", | |
| "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": { | |
| "forward": { | |
| "memory": { | |
| "unit": "MB", | |
| "max_ram": 1027.346432, | |
| "max_global_vram": 3104.018432, | |
| "max_process_vram": 271740.768256, | |
| "max_reserved": 773.849088, | |
| "max_allocated": 745.087488 | |
| }, | |
| "latency": { | |
| "unit": "s", | |
| "count": 75, | |
| "total": 0.9974413452148434, | |
| "mean": 0.013299217936197916, | |
| "stdev": 0.000568152500821051, | |
| "p50": 0.01317185878753662, | |
| "p90": 0.013781813049316407, | |
| "p95": 0.014171349811553954, | |
| "p99": 0.015809175891876224, | |
| "values": [ | |
| 0.0160128231048584, | |
| 0.013817781448364258, | |
| 0.013867541313171387, | |
| 0.014121622085571288, | |
| 0.013590740203857423, | |
| 0.013413140296936035, | |
| 0.013099059104919434, | |
| 0.013173139572143555, | |
| 0.01295442008972168, | |
| 0.013023059844970703, | |
| 0.013076019287109376, | |
| 0.013309301376342774, | |
| 0.013221460342407227, | |
| 0.013212499618530273, | |
| 0.013261139869689942, | |
| 0.013520819664001465, | |
| 0.013419380187988281, | |
| 0.013266579627990722, | |
| 0.013188019752502441, | |
| 0.013269140243530273, | |
| 0.013052338600158692, | |
| 0.015737624168395997, | |
| 0.013293780326843262, | |
| 0.013314580917358399, | |
| 0.012887059211730957, | |
| 0.013128179550170899, | |
| 0.012768499374389649, | |
| 0.013701781272888184, | |
| 0.013291060447692871, | |
| 0.013106419563293456, | |
| 0.012788819313049317, | |
| 0.012817460060119629, | |
| 0.013074099540710449, | |
| 0.012824978828430176, | |
| 0.012764820098876953, | |
| 0.013488499641418458, | |
| 0.012789138793945313, | |
| 0.012869460105895996, | |
| 0.013263219833374024, | |
| 0.013041939735412598, | |
| 0.012827058792114258, | |
| 0.013353779792785644, | |
| 0.012857139587402344, | |
| 0.013085140228271484, | |
| 0.01317185878753662, | |
| 0.013023538589477539, | |
| 0.013239700317382813, | |
| 0.013226900100708008, | |
| 0.012849300384521485, | |
| 0.013059220314025878, | |
| 0.013587380409240723, | |
| 0.012892339706420898, | |
| 0.01291585922241211, | |
| 0.013300020217895508, | |
| 0.012943699836730957, | |
| 0.013111700057983398, | |
| 0.013112979888916016, | |
| 0.014287381172180176, | |
| 0.014781622886657715, | |
| 0.0139837007522583, | |
| 0.013664340019226074, | |
| 0.013727860450744629, | |
| 0.013624180793762207, | |
| 0.013645140647888184, | |
| 0.01303217887878418, | |
| 0.012878740310668945, | |
| 0.012804979324340821, | |
| 0.013015859603881836, | |
| 0.013371700286865235, | |
| 0.01300625991821289, | |
| 0.012907697677612304, | |
| 0.01296642017364502, | |
| 0.013452500343322753, | |
| 0.013006099700927734, | |
| 0.012905619621276855 | |
| ] | |
| }, | |
| "throughput": { | |
| "unit": "samples/s", | |
| "value": 75.19239137199129 | |
| }, | |
| "energy": null, | |
| "efficiency": null | |
| } | |
| } | |
| } |