Upload cuda_training_transformers_fill-mask_hf-internal-testing/tiny-random-BertModel/benchmark_config.json with huggingface_hub
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cuda_training_transformers_fill-mask_hf-internal-testing/tiny-random-BertModel/benchmark_config.json
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{
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"name": "cuda_training_transformers_fill-mask_hf-internal-testing/tiny-random-BertModel",
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"backend": {
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"name": "pytorch",
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"version": "2.5.1",
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"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
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"model": "hf-internal-testing/tiny-random-BertModel",
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"processor": "hf-internal-testing/tiny-random-BertModel",
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"task": "fill-mask",
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"library": "transformers",
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"model_type": "bert",
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"device": "cuda",
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"device_ids": "0",
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"seed": 42,
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"inter_op_num_threads": null,
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"intra_op_num_threads": null,
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"model_kwargs": {},
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"processor_kwargs": {},
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"no_weights": true,
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"tp_plan": null,
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"device_map": null,
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"torch_dtype": null,
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"eval_mode": true,
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"to_bettertransformer": false,
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"low_cpu_mem_usage": null,
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"attn_implementation": null,
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"cache_implementation": null,
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"allow_tf32": false,
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"autocast_enabled": false,
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"autocast_dtype": null,
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"torch_compile": false,
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"torch_compile_target": "forward",
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"torch_compile_config": {},
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"quantization_scheme": null,
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"quantization_config": {},
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"deepspeed_inference": false,
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"deepspeed_inference_config": {},
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"peft_type": null,
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"peft_config": {}
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},
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"scenario": {
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"name": "training",
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"_target_": "optimum_benchmark.scenarios.training.scenario.TrainingScenario",
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"max_steps": 5,
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"warmup_steps": 2,
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"dataset_shapes": {
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"dataset_size": 500,
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"sequence_length": 16,
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"num_choices": 1
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},
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"training_arguments": {
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"per_device_train_batch_size": 2,
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"gradient_accumulation_steps": 1,
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"output_dir": "./trainer_output",
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"eval_strategy": "no",
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"save_strategy": "no",
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"do_train": true,
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"use_cpu": false,
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"max_steps": 5,
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"do_eval": false,
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"do_predict": false,
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"report_to": "none",
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"skip_memory_metrics": true,
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"ddp_find_unused_parameters": false
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},
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"latency": true,
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"memory": true,
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"energy": true
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},
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"launcher": {
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"name": "process",
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"_target_": "optimum_benchmark.launchers.process.launcher.ProcessLauncher",
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"device_isolation": true,
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"device_isolation_action": "error",
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"numactl": false,
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"numactl_kwargs": {},
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"start_method": "spawn"
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},
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"environment": {
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"cpu": " AMD EPYC 7742 64-Core Processor",
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"cpu_count": 128,
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"cpu_ram_mb": 540671.643648,
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"system": "Linux",
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"machine": "x86_64",
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"platform": "Linux-5.4.0-166-generic-x86_64-with-glibc2.31",
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"processor": "x86_64",
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"python_version": "3.10.18",
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"gpu": [
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"NVIDIA A100-SXM4-80GB",
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"NVIDIA A100-SXM4-80GB",
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"NVIDIA A100-SXM4-80GB",
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"NVIDIA DGX Display",
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"NVIDIA A100-SXM4-80GB"
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],
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"gpu_count": 5,
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"gpu_vram_mb": 347892350976,
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"optimum_benchmark_version": "0.6.0.dev0",
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"optimum_benchmark_commit": "61a08086def388b3e78bbf6b42ed20ab4af3f8db",
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"transformers_version": "4.45.1",
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"transformers_commit": "61a08086def388b3e78bbf6b42ed20ab4af3f8db",
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"accelerate_version": "1.10.0",
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"accelerate_commit": "61a08086def388b3e78bbf6b42ed20ab4af3f8db",
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"diffusers_version": "0.34.0",
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"diffusers_commit": "61a08086def388b3e78bbf6b42ed20ab4af3f8db",
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"timm_version": "1.0.19",
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"timm_commit": "61a08086def388b3e78bbf6b42ed20ab4af3f8db",
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"peft_version": "0.17.0",
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"peft_commit": "61a08086def388b3e78bbf6b42ed20ab4af3f8db"
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},
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"print_report": true,
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"log_report": true
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}
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