IlyasMoutawwakil
HF staff
Upload cuda_inference_transformers_text-classification_FacebookAI/roberta-base/benchmark.json with huggingface_hub
e6dadbb
verified
| { | |
| "config": { | |
| "name": "cuda_inference_transformers_text-classification_FacebookAI/roberta-base", | |
| "backend": { | |
| "name": "pytorch", | |
| "version": "2.2.2+rocm5.7", | |
| "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend", | |
| "task": "text-classification", | |
| "library": "transformers", | |
| "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": {}, | |
| "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", | |
| "numactl": false, | |
| "numactl_kwargs": {}, | |
| "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": "d920fe9626db1e7915f6d3574b5b54b0159cd100", | |
| "transformers_version": "4.42.3", | |
| "transformers_commit": null, | |
| "accelerate_version": "0.31.0", | |
| "accelerate_commit": null, | |
| "diffusers_version": "0.29.2", | |
| "diffusers_commit": null, | |
| "optimum_version": null, | |
| "optimum_commit": null, | |
| "timm_version": "1.0.7", | |
| "timm_commit": null, | |
| "peft_version": null, | |
| "peft_commit": null | |
| } | |
| }, | |
| "report": { | |
| "forward": { | |
| "memory": { | |
| "unit": "MB", | |
| "max_ram": 1011.109888, | |
| "max_global_vram": 897.138688, | |
| "max_process_vram": 190471.282688, | |
| "max_reserved": 555.74528, | |
| "max_allocated": 499.443712 | |
| }, | |
| "latency": { | |
| "unit": "s", | |
| "count": 116, | |
| "total": 1.0012317423820498, | |
| "mean": 0.008631308123983186, | |
| "stdev": 0.0005121272580937299, | |
| "p50": 0.00873374891281128, | |
| "p90": 0.009061668395996094, | |
| "p95": 0.009153548002243042, | |
| "p99": 0.009307956743240357, | |
| "values": [ | |
| 0.008815988540649414, | |
| 0.009057588577270508, | |
| 0.009206229209899903, | |
| 0.009325908660888673, | |
| 0.009200148582458496, | |
| 0.009138869285583497, | |
| 0.009111828804016113, | |
| 0.008656788825988769, | |
| 0.008726869583129883, | |
| 0.008587828636169434, | |
| 0.008493590354919433, | |
| 0.008672148704528808, | |
| 0.008578229904174804, | |
| 0.008461588859558106, | |
| 0.008932788848876954, | |
| 0.008930869102478027, | |
| 0.008958229064941406, | |
| 0.008949589729309083, | |
| 0.008932310104370117, | |
| 0.009004948616027832, | |
| 0.00906574821472168, | |
| 0.00897150993347168, | |
| 0.008951990127563477, | |
| 0.008966549873352051, | |
| 0.00894766902923584, | |
| 0.00892798900604248, | |
| 0.008887349128723144, | |
| 0.008942388534545898, | |
| 0.00896078872680664, | |
| 0.00896574878692627, | |
| 0.008925588607788085, | |
| 0.00893390941619873, | |
| 0.008957908630371094, | |
| 0.00895966911315918, | |
| 0.008967028617858887, | |
| 0.008897748947143555, | |
| 0.00895470905303955, | |
| 0.00894606876373291, | |
| 0.008960148811340333, | |
| 0.008939189910888672, | |
| 0.008844788551330567, | |
| 0.009191669464111329, | |
| 0.009179828643798828, | |
| 0.00912782859802246, | |
| 0.009137748718261719, | |
| 0.009144787788391113, | |
| 0.00879086971282959, | |
| 0.011746705055236817, | |
| 0.008908948898315429, | |
| 0.00872799015045166, | |
| 0.008724629402160644, | |
| 0.008727828979492187, | |
| 0.008665109634399414, | |
| 0.008699989318847657, | |
| 0.008677749633789063, | |
| 0.008676790237426757, | |
| 0.008767349243164062, | |
| 0.00873694896697998, | |
| 0.008718870162963866, | |
| 0.008756308555603028, | |
| 0.008776948928833008, | |
| 0.008708149909973144, | |
| 0.00873854923248291, | |
| 0.008770709037780761, | |
| 0.00822959041595459, | |
| 0.00809807014465332, | |
| 0.008182550430297851, | |
| 0.007785271167755127, | |
| 0.00780767011642456, | |
| 0.008098710060119628, | |
| 0.007810710906982422, | |
| 0.008158069610595703, | |
| 0.007787350177764892, | |
| 0.007811670780181885, | |
| 0.007758230209350586, | |
| 0.007793750762939453, | |
| 0.007747350215911865, | |
| 0.008730548858642578, | |
| 0.008741909980773926, | |
| 0.008718548774719238, | |
| 0.008503990173339844, | |
| 0.00855902862548828, | |
| 0.008770869255065919, | |
| 0.00875102996826172, | |
| 0.008390549659729005, | |
| 0.008147351264953613, | |
| 0.008121271133422852, | |
| 0.00816415023803711, | |
| 0.00812911033630371, | |
| 0.008287830352783203, | |
| 0.008350230216979981, | |
| 0.007905110836029053, | |
| 0.008252630233764649, | |
| 0.00825199031829834, | |
| 0.008473270416259766, | |
| 0.008221590042114257, | |
| 0.008022390365600585, | |
| 0.00802655029296875, | |
| 0.00804175090789795, | |
| 0.007787990093231201, | |
| 0.007759671211242675, | |
| 0.00784191083908081, | |
| 0.007779190063476563, | |
| 0.0078039908409118655, | |
| 0.007913909912109374, | |
| 0.008536470413208009, | |
| 0.008741429328918457, | |
| 0.008822069168090821, | |
| 0.008717907905578613, | |
| 0.008715029716491698, | |
| 0.008763348579406739, | |
| 0.0087894287109375, | |
| 0.008597749710083008, | |
| 0.00880302906036377, | |
| 0.008765109062194824, | |
| 0.008743670463562012 | |
| ] | |
| }, | |
| "throughput": { | |
| "unit": "samples/s", | |
| "value": 115.85729366112803 | |
| }, | |
| "energy": null, | |
| "efficiency": null | |
| } | |
| } | |
| } |