Hugging Face's logo

Datasets:
optimum-benchmark
/
cuda

Dataset card Files
xet
 Community
cuda
File size: 3,840 Bytes
0dc271e
 
 
 
a673e90
0dc271e
a1e44d0
 
0dc271e
 
 
 
 
 
 
 
 
 
 
42ba3a3
0dc271e
 
 
 
 
 
 
e7edafe
0dc271e
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
744f481
 
0dc271e
 
744f481
0dc271e
744f481
0dc271e
 
 
 
 
8849e09
744f481
d6ef3d0
744f481
d6ef3d0
744f481
d6ef3d0
744f481
0dc271e
 
a3eae80
744f481
d6ef3d0
744f481
0dc271e
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
{
    "name": "cuda_training_transformers_fill-mask_hf-internal-testing/tiny-random-BertModel",
    "backend": {
        "name": "pytorch",
        "version": "2.8.0",
        "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
        "model": "hf-internal-testing/tiny-random-BertModel",
        "processor": "hf-internal-testing/tiny-random-BertModel",
        "task": "fill-mask",
        "library": "transformers",
        "model_type": "bert",
        "device": "cuda",
        "device_ids": "0",
        "seed": 42,
        "inter_op_num_threads": null,
        "intra_op_num_threads": null,
        "model_kwargs": {},
        "processor_kwargs": {},
        "no_weights": true,
        "tp_plan": null,
        "device_map": null,
        "torch_dtype": null,
        "eval_mode": true,
        "to_bettertransformer": false,
        "low_cpu_mem_usage": null,
        "attn_implementation": null,
        "cache_implementation": null,
        "allow_tf32": false,
        "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",
            "eval_strategy": "no",
            "save_strategy": "no",
            "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": true
    },
    "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 7R32",
        "cpu_count": 32,
        "cpu_ram_mb": 133616.377856,
        "system": "Linux",
        "machine": "x86_64",
        "platform": "Linux-6.12.73-95.123.amzn2023.x86_64-x86_64-with-glibc2.39",
        "processor": "x86_64",
        "python_version": "3.10.20",
        "gpu": [
            "NVIDIA A10G"
        ],
        "gpu_count": 1,
        "gpu_vram_mb": 24146608128,
        "optimum_benchmark_version": "0.7.0.dev0",
        "optimum_benchmark_commit": "702a15ec4a239bd5d594601dbd03bd645cc66674",
        "transformers_version": "4.56.2",
        "transformers_commit": "702a15ec4a239bd5d594601dbd03bd645cc66674",
        "accelerate_version": "1.10.1",
        "accelerate_commit": "702a15ec4a239bd5d594601dbd03bd645cc66674",
        "diffusers_version": "0.35.1",
        "diffusers_commit": "702a15ec4a239bd5d594601dbd03bd645cc66674",
        "optimum_version": null,
        "optimum_commit": null,
        "timm_version": "1.0.20",
        "timm_commit": "702a15ec4a239bd5d594601dbd03bd645cc66674",
        "peft_version": "0.17.1",
        "peft_commit": "702a15ec4a239bd5d594601dbd03bd645cc66674"
    },
    "print_report": true,
    "log_report": true
}