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| { | |
| "config": { | |
| "name": "cpu_inference_transformers_token-classification_microsoft/deberta-v3-base", | |
| "backend": { | |
| "name": "pytorch", | |
| "version": "2.3.0+cpu", | |
| "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend", | |
| "task": "token-classification", | |
| "model": "microsoft/deberta-v3-base", | |
| "library": "transformers", | |
| "device": "cpu", | |
| "device_ids": null, | |
| "seed": 42, | |
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| "torch_compile_target": "forward", | |
| "torch_compile_config": {}, | |
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| "deepspeed_inference_config": {}, | |
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| "peft_config": {} | |
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| "scenario": { | |
| "name": "inference", | |
| "_target_": "optimum_benchmark.scenarios.inference.scenario.InferenceScenario", | |
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| }, | |
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| "forward_kwargs": {}, | |
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| "max_new_tokens": 2, | |
| "min_new_tokens": 2 | |
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| "device_isolation_action": "error", | |
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| }, | |
| "environment": { | |
| "cpu": " AMD EPYC 7763 64-Core Processor", | |
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| "cpu_ram_mb": 16757.346304, | |
| "system": "Linux", | |
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| } | |
| } |