Dataset Preview
View in Dataset Viewer
Viewer
The full dataset viewer is not available (click to read why). Only showing a preview of the rows.
The dataset generation failed
Error code: DatasetGenerationError Exception: DatasetGenerationError Message: An error occurred while generating the dataset Traceback: Traceback (most recent call last): File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 2011, in _prepare_split_single writer.write_table(table) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 583, in write_table self._build_writer(inferred_schema=pa_table.schema) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 404, in _build_writer self.pa_writer = self._WRITER_CLASS(self.stream, schema) File "/src/services/worker/.venv/lib/python3.9/site-packages/pyarrow/parquet/core.py", line 1016, in __init__ self.writer = _parquet.ParquetWriter( File "pyarrow/_parquet.pyx", line 1869, in pyarrow._parquet.ParquetWriter.__cinit__ File "pyarrow/error.pxi", line 154, in pyarrow.lib.pyarrow_internal_check_status File "pyarrow/error.pxi", line 91, in pyarrow.lib.check_status pyarrow.lib.ArrowNotImplementedError: Cannot write struct type 'model_kwargs' with no child field to Parquet. Consider adding a dummy child field. During handling of the above exception, another exception occurred: Traceback (most recent call last): File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 2027, in _prepare_split_single num_examples, num_bytes = writer.finalize() File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 602, in finalize self._build_writer(self.schema) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 404, in _build_writer self.pa_writer = self._WRITER_CLASS(self.stream, schema) File "/src/services/worker/.venv/lib/python3.9/site-packages/pyarrow/parquet/core.py", line 1016, in __init__ self.writer = _parquet.ParquetWriter( File "pyarrow/_parquet.pyx", line 1869, in pyarrow._parquet.ParquetWriter.__cinit__ File "pyarrow/error.pxi", line 154, in pyarrow.lib.pyarrow_internal_check_status File "pyarrow/error.pxi", line 91, in pyarrow.lib.check_status pyarrow.lib.ArrowNotImplementedError: Cannot write struct type 'model_kwargs' with no child field to Parquet. Consider adding a dummy child field. The above exception was the direct cause of the following exception: Traceback (most recent call last): File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1324, in compute_config_parquet_and_info_response parquet_operations = convert_to_parquet(builder) File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 938, in convert_to_parquet builder.download_and_prepare( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1027, in download_and_prepare self._download_and_prepare( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1122, in _download_and_prepare self._prepare_split(split_generator, **prepare_split_kwargs) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1882, in _prepare_split for job_id, done, content in self._prepare_split_single( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 2038, in _prepare_split_single raise DatasetGenerationError("An error occurred while generating the dataset") from e datasets.exceptions.DatasetGenerationError: An error occurred while generating the dataset
Need help to make the dataset viewer work? Open a discussion for direct support.
config
dict | report
dict | name
string | backend
dict | scenario
dict | launcher
dict | environment
dict | overall
dict | warmup
dict | train
dict |
---|---|---|---|---|---|---|---|---|---|
{
"name": "cuda_training_transformers_fill-mask_google-bert/bert-base-uncased",
"backend": {
"name": "pytorch",
"version": "2.2.2+rocm5.7",
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
"task": "fill-mask",
"library": "transformers",
"model": "google-bert/bert-base-uncased",
"processor": "google-bert/bert-base-uncased",
"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": "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",
"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": false
},
"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": "347e13ca9f7f904f55669603cfb9f0b6c7e8672c",
"transformers_version": "4.41.1",
"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
}
} | {
"overall": {
"memory": {
"unit": "MB",
"max_ram": 1122.668544,
"max_global_vram": 4468.34688,
"max_process_vram": 297095.217152,
"max_reserved": 2403.336192,
"max_allocated": 2195.345408
},
"latency": {
"unit": "s",
"count": 5,
"total": 0.7484651947021486,
"mean": 0.1496930389404297,
"stdev": 0.2081257648913134,
"p50": 0.04572518539428711,
"p90": 0.3582818710327149,
"p95": 0.46211212692260734,
"p99": 0.5451763316345214,
"values": [
0.5659423828125,
0.04679110336303711,
0.04572518539428711,
0.04526006317138672,
0.0447464599609375
]
},
"throughput": {
"unit": "samples/s",
"value": 66.80337356221017
},
"energy": null,
"efficiency": null
},
"warmup": {
"memory": {
"unit": "MB",
"max_ram": 1122.668544,
"max_global_vram": 4468.34688,
"max_process_vram": 297095.217152,
"max_reserved": 2403.336192,
"max_allocated": 2195.345408
},
"latency": {
"unit": "s",
"count": 2,
"total": 0.6127334861755371,
"mean": 0.30636674308776857,
"stdev": 0.25957563972473147,
"p50": 0.30636674308776857,
"p90": 0.5140272548675537,
"p95": 0.5399848188400268,
"p99": 0.5607508700180054,
"values": [
0.5659423828125,
0.04679110336303711
]
},
"throughput": {
"unit": "samples/s",
"value": 13.056247423220059
},
"energy": null,
"efficiency": null
},
"train": {
"memory": {
"unit": "MB",
"max_ram": 1122.668544,
"max_global_vram": 4468.34688,
"max_process_vram": 297095.217152,
"max_reserved": 2403.336192,
"max_allocated": 2195.345408
},
"latency": {
"unit": "s",
"count": 3,
"total": 0.13573170852661132,
"mean": 0.045243902842203775,
"stdev": 0.00039972635277217897,
"p50": 0.04526006317138672,
"p90": 0.04563216094970703,
"p95": 0.04567867317199707,
"p99": 0.045715882949829104,
"values": [
0.04572518539428711,
0.04526006317138672,
0.0447464599609375
]
},
"throughput": {
"unit": "samples/s",
"value": 132.61455407430424
},
"energy": null,
"efficiency": null
}
} | null | null | null | null | null | null | null | null |
null | null | cuda_training_transformers_fill-mask_google-bert/bert-base-uncased | {
"name": "pytorch",
"version": "2.2.2+rocm5.7",
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
"task": "fill-mask",
"library": "transformers",
"model": "google-bert/bert-base-uncased",
"processor": "google-bert/bert-base-uncased",
"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": {}
} | {
"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",
"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": false
} | {
"name": "process",
"_target_": "optimum_benchmark.launchers.process.launcher.ProcessLauncher",
"device_isolation": true,
"device_isolation_action": "error",
"numactl": false,
"numactl_kwargs": {},
"start_method": "spawn"
} | {
"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": "347e13ca9f7f904f55669603cfb9f0b6c7e8672c",
"transformers_version": "4.41.1",
"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
} | null | null | null |
null | null | null | null | null | null | null | {
"memory": {
"unit": "MB",
"max_ram": 1122.668544,
"max_global_vram": 4468.34688,
"max_process_vram": 297095.217152,
"max_reserved": 2403.336192,
"max_allocated": 2195.345408
},
"latency": {
"unit": "s",
"count": 5,
"total": 0.7484651947021486,
"mean": 0.1496930389404297,
"stdev": 0.2081257648913134,
"p50": 0.04572518539428711,
"p90": 0.3582818710327149,
"p95": 0.46211212692260734,
"p99": 0.5451763316345214,
"values": [
0.5659423828125,
0.04679110336303711,
0.04572518539428711,
0.04526006317138672,
0.0447464599609375
]
},
"throughput": {
"unit": "samples/s",
"value": 66.80337356221017
},
"energy": null,
"efficiency": null
} | {
"memory": {
"unit": "MB",
"max_ram": 1122.668544,
"max_global_vram": 4468.34688,
"max_process_vram": 297095.217152,
"max_reserved": 2403.336192,
"max_allocated": 2195.345408
},
"latency": {
"unit": "s",
"count": 2,
"total": 0.6127334861755371,
"mean": 0.30636674308776857,
"stdev": 0.25957563972473147,
"p50": 0.30636674308776857,
"p90": 0.5140272548675537,
"p95": 0.5399848188400268,
"p99": 0.5607508700180054,
"values": [
0.5659423828125,
0.04679110336303711
]
},
"throughput": {
"unit": "samples/s",
"value": 13.056247423220059
},
"energy": null,
"efficiency": null
} | {
"memory": {
"unit": "MB",
"max_ram": 1122.668544,
"max_global_vram": 4468.34688,
"max_process_vram": 297095.217152,
"max_reserved": 2403.336192,
"max_allocated": 2195.345408
},
"latency": {
"unit": "s",
"count": 3,
"total": 0.13573170852661132,
"mean": 0.045243902842203775,
"stdev": 0.00039972635277217897,
"p50": 0.04526006317138672,
"p90": 0.04563216094970703,
"p95": 0.04567867317199707,
"p99": 0.045715882949829104,
"values": [
0.04572518539428711,
0.04526006317138672,
0.0447464599609375
]
},
"throughput": {
"unit": "samples/s",
"value": 132.61455407430424
},
"energy": null,
"efficiency": null
} |
{
"name": "cuda_training_transformers_image-classification_google/vit-base-patch16-224",
"backend": {
"name": "pytorch",
"version": "2.2.2+rocm5.7",
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
"task": "image-classification",
"library": "transformers",
"model": "google/vit-base-patch16-224",
"processor": "google/vit-base-patch16-224",
"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": "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",
"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": false
},
"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": "347e13ca9f7f904f55669603cfb9f0b6c7e8672c",
"transformers_version": "4.41.1",
"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
}
} | {
"overall": {
"memory": {
"unit": "MB",
"max_ram": 2194.419712,
"max_global_vram": 3470.647296,
"max_process_vram": 386554.208256,
"max_reserved": 1935.671296,
"max_allocated": 1738.272256
},
"latency": {
"unit": "s",
"count": 5,
"total": 3.277213871002197,
"mean": 0.6554427742004394,
"stdev": 1.2272021662841368,
"p50": 0.04227624130249023,
"p90": 1.883331108093262,
"p95": 2.4965886497497554,
"p99": 2.987194683074951,
"values": [
3.10984619140625,
0.04047639465332031,
0.04227624130249023,
0.04105656051635742,
0.043558483123779294
]
},
"throughput": {
"unit": "samples/s",
"value": 15.25686206884924
},
"energy": null,
"efficiency": null
},
"warmup": {
"memory": {
"unit": "MB",
"max_ram": 2194.419712,
"max_global_vram": 3470.647296,
"max_process_vram": 386554.208256,
"max_reserved": 1935.671296,
"max_allocated": 1738.272256
},
"latency": {
"unit": "s",
"count": 2,
"total": 3.1503225860595703,
"mean": 1.5751612930297851,
"stdev": 1.534684898376465,
"p50": 1.5751612930297851,
"p90": 2.8029092117309573,
"p95": 2.9563777015686035,
"p99": 3.0791524934387207,
"values": [
3.10984619140625,
0.04047639465332031
]
},
"throughput": {
"unit": "samples/s",
"value": 2.539422481812066
},
"energy": null,
"efficiency": null
},
"train": {
"memory": {
"unit": "MB",
"max_ram": 2194.419712,
"max_global_vram": 3470.647296,
"max_process_vram": 386554.208256,
"max_reserved": 1935.671296,
"max_allocated": 1738.272256
},
"latency": {
"unit": "s",
"count": 3,
"total": 0.12689128494262694,
"mean": 0.042297094980875645,
"stdev": 0.0010215120623561975,
"p50": 0.04227624130249023,
"p90": 0.043302034759521484,
"p95": 0.04343025894165039,
"p99": 0.04353283828735351,
"values": [
0.04227624130249023,
0.04105656051635742,
0.043558483123779294
]
},
"throughput": {
"unit": "samples/s",
"value": 141.85371365841698
},
"energy": null,
"efficiency": null
}
} | null | null | null | null | null | null | null | null |
null | null | cuda_training_transformers_image-classification_google/vit-base-patch16-224 | {
"name": "pytorch",
"version": "2.2.2+rocm5.7",
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
"task": "image-classification",
"library": "transformers",
"model": "google/vit-base-patch16-224",
"processor": "google/vit-base-patch16-224",
"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": {}
} | {
"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",
"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": false
} | {
"name": "process",
"_target_": "optimum_benchmark.launchers.process.launcher.ProcessLauncher",
"device_isolation": true,
"device_isolation_action": "error",
"numactl": false,
"numactl_kwargs": {},
"start_method": "spawn"
} | {
"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": "347e13ca9f7f904f55669603cfb9f0b6c7e8672c",
"transformers_version": "4.41.1",
"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
} | null | null | null |
null | null | null | null | null | null | null | {
"memory": {
"unit": "MB",
"max_ram": 2194.419712,
"max_global_vram": 3470.647296,
"max_process_vram": 386554.208256,
"max_reserved": 1935.671296,
"max_allocated": 1738.272256
},
"latency": {
"unit": "s",
"count": 5,
"total": 3.277213871002197,
"mean": 0.6554427742004394,
"stdev": 1.2272021662841368,
"p50": 0.04227624130249023,
"p90": 1.883331108093262,
"p95": 2.4965886497497554,
"p99": 2.987194683074951,
"values": [
3.10984619140625,
0.04047639465332031,
0.04227624130249023,
0.04105656051635742,
0.043558483123779294
]
},
"throughput": {
"unit": "samples/s",
"value": 15.25686206884924
},
"energy": null,
"efficiency": null
} | {
"memory": {
"unit": "MB",
"max_ram": 2194.419712,
"max_global_vram": 3470.647296,
"max_process_vram": 386554.208256,
"max_reserved": 1935.671296,
"max_allocated": 1738.272256
},
"latency": {
"unit": "s",
"count": 2,
"total": 3.1503225860595703,
"mean": 1.5751612930297851,
"stdev": 1.534684898376465,
"p50": 1.5751612930297851,
"p90": 2.8029092117309573,
"p95": 2.9563777015686035,
"p99": 3.0791524934387207,
"values": [
3.10984619140625,
0.04047639465332031
]
},
"throughput": {
"unit": "samples/s",
"value": 2.539422481812066
},
"energy": null,
"efficiency": null
} | {
"memory": {
"unit": "MB",
"max_ram": 2194.419712,
"max_global_vram": 3470.647296,
"max_process_vram": 386554.208256,
"max_reserved": 1935.671296,
"max_allocated": 1738.272256
},
"latency": {
"unit": "s",
"count": 3,
"total": 0.12689128494262694,
"mean": 0.042297094980875645,
"stdev": 0.0010215120623561975,
"p50": 0.04227624130249023,
"p90": 0.043302034759521484,
"p95": 0.04343025894165039,
"p99": 0.04353283828735351,
"values": [
0.04227624130249023,
0.04105656051635742,
0.043558483123779294
]
},
"throughput": {
"unit": "samples/s",
"value": 141.85371365841698
},
"energy": null,
"efficiency": null
} |
{
"name": "cuda_training_transformers_multiple-choice_FacebookAI/roberta-base",
"backend": {
"name": "pytorch",
"version": "2.2.2+rocm5.7",
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
"task": "multiple-choice",
"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": "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",
"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": false
},
"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": "347e13ca9f7f904f55669603cfb9f0b6c7e8672c",
"transformers_version": "4.41.1",
"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
}
} | {
"overall": {
"memory": {
"unit": "MB",
"max_ram": 1123.115008,
"max_global_vram": 4670.468096,
"max_process_vram": 295035.65824,
"max_reserved": 2707.423232,
"max_allocated": 2497.88416
},
"latency": {
"unit": "s",
"count": 5,
"total": 0.7899723854064942,
"mean": 0.15799447708129882,
"stdev": 0.21986792437456745,
"p50": 0.04801991271972656,
"p90": 0.3780925994873048,
"p95": 0.48791122894287103,
"p99": 0.5757661325073242,
"values": [
0.5977298583984375,
0.04863671112060547,
0.047656871795654296,
0.04801991271972656,
0.047929031372070316
]
},
"throughput": {
"unit": "samples/s",
"value": 63.293351671111424
},
"energy": null,
"efficiency": null
},
"warmup": {
"memory": {
"unit": "MB",
"max_ram": 1123.115008,
"max_global_vram": 4670.468096,
"max_process_vram": 295035.65824,
"max_reserved": 2707.423232,
"max_allocated": 2497.88416
},
"latency": {
"unit": "s",
"count": 2,
"total": 0.646366569519043,
"mean": 0.3231832847595215,
"stdev": 0.27454657363891605,
"p50": 0.3231832847595215,
"p90": 0.5428205436706544,
"p95": 0.5702752010345459,
"p99": 0.5922389269256592,
"values": [
0.5977298583984375,
0.04863671112060547
]
},
"throughput": {
"unit": "samples/s",
"value": 12.376877730469175
},
"energy": null,
"efficiency": null
},
"train": {
"memory": {
"unit": "MB",
"max_ram": 1123.115008,
"max_global_vram": 4670.468096,
"max_process_vram": 295035.65824,
"max_reserved": 2707.423232,
"max_allocated": 2497.88416
},
"latency": {
"unit": "s",
"count": 3,
"total": 0.1436058158874512,
"mean": 0.04786860529581707,
"stdev": 0.00015424690414253482,
"p50": 0.047929031372070316,
"p90": 0.048001736450195315,
"p95": 0.048010824584960934,
"p99": 0.04801809509277344,
"values": [
0.047656871795654296,
0.04801991271972656,
0.047929031372070316
]
},
"throughput": {
"unit": "samples/s",
"value": 125.3431129426347
},
"energy": null,
"efficiency": null
}
} | null | null | null | null | null | null | null | null |
null | null | cuda_training_transformers_multiple-choice_FacebookAI/roberta-base | {
"name": "pytorch",
"version": "2.2.2+rocm5.7",
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
"task": "multiple-choice",
"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": {}
} | {
"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",
"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": false
} | {
"name": "process",
"_target_": "optimum_benchmark.launchers.process.launcher.ProcessLauncher",
"device_isolation": true,
"device_isolation_action": "error",
"numactl": false,
"numactl_kwargs": {},
"start_method": "spawn"
} | {
"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": "347e13ca9f7f904f55669603cfb9f0b6c7e8672c",
"transformers_version": "4.41.1",
"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
} | null | null | null |
null | null | null | null | null | null | null | {
"memory": {
"unit": "MB",
"max_ram": 1123.115008,
"max_global_vram": 4670.468096,
"max_process_vram": 295035.65824,
"max_reserved": 2707.423232,
"max_allocated": 2497.88416
},
"latency": {
"unit": "s",
"count": 5,
"total": 0.7899723854064942,
"mean": 0.15799447708129882,
"stdev": 0.21986792437456745,
"p50": 0.04801991271972656,
"p90": 0.3780925994873048,
"p95": 0.48791122894287103,
"p99": 0.5757661325073242,
"values": [
0.5977298583984375,
0.04863671112060547,
0.047656871795654296,
0.04801991271972656,
0.047929031372070316
]
},
"throughput": {
"unit": "samples/s",
"value": 63.293351671111424
},
"energy": null,
"efficiency": null
} | {
"memory": {
"unit": "MB",
"max_ram": 1123.115008,
"max_global_vram": 4670.468096,
"max_process_vram": 295035.65824,
"max_reserved": 2707.423232,
"max_allocated": 2497.88416
},
"latency": {
"unit": "s",
"count": 2,
"total": 0.646366569519043,
"mean": 0.3231832847595215,
"stdev": 0.27454657363891605,
"p50": 0.3231832847595215,
"p90": 0.5428205436706544,
"p95": 0.5702752010345459,
"p99": 0.5922389269256592,
"values": [
0.5977298583984375,
0.04863671112060547
]
},
"throughput": {
"unit": "samples/s",
"value": 12.376877730469175
},
"energy": null,
"efficiency": null
} | {
"memory": {
"unit": "MB",
"max_ram": 1123.115008,
"max_global_vram": 4670.468096,
"max_process_vram": 295035.65824,
"max_reserved": 2707.423232,
"max_allocated": 2497.88416
},
"latency": {
"unit": "s",
"count": 3,
"total": 0.1436058158874512,
"mean": 0.04786860529581707,
"stdev": 0.00015424690414253482,
"p50": 0.047929031372070316,
"p90": 0.048001736450195315,
"p95": 0.048010824584960934,
"p99": 0.04801809509277344,
"values": [
0.047656871795654296,
0.04801991271972656,
0.047929031372070316
]
},
"throughput": {
"unit": "samples/s",
"value": 125.3431129426347
},
"energy": null,
"efficiency": null
} |
{
"name": "cuda_training_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": "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",
"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": false
},
"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": "347e13ca9f7f904f55669603cfb9f0b6c7e8672c",
"transformers_version": "4.41.1",
"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
}
} | {
"overall": {
"memory": {
"unit": "MB",
"max_ram": 1120.210944,
"max_global_vram": 4553.142272,
"max_process_vram": 295749.853184,
"max_reserved": 2707.423232,
"max_allocated": 2497.900032
},
"latency": {
"unit": "s",
"count": 5,
"total": 0.7799421653747558,
"mean": 0.15598843307495117,
"stdev": 0.21488782485710392,
"p50": 0.04831608581542969,
"p90": 0.3712529342651367,
"p95": 0.47850793685913073,
"p99": 0.5643119389343261,
"values": [
0.585762939453125,
0.049487926483154296,
0.04831304931640625,
0.04806216430664063,
0.04831608581542969
]
},
"throughput": {
"unit": "samples/s",
"value": 64.10731746497564
},
"energy": null,
"efficiency": null
},
"warmup": {
"memory": {
"unit": "MB",
"max_ram": 1120.210944,
"max_global_vram": 4553.142272,
"max_process_vram": 295749.853184,
"max_reserved": 2707.423232,
"max_allocated": 2497.900032
},
"latency": {
"unit": "s",
"count": 2,
"total": 0.6352508659362792,
"mean": 0.3176254329681396,
"stdev": 0.26813750648498536,
"p50": 0.3176254329681396,
"p90": 0.5321354381561278,
"p95": 0.5589491888046264,
"p99": 0.5804001893234253,
"values": [
0.585762939453125,
0.049487926483154296
]
},
"throughput": {
"unit": "samples/s",
"value": 12.593449972254685
},
"energy": null,
"efficiency": null
},
"train": {
"memory": {
"unit": "MB",
"max_ram": 1120.210944,
"max_global_vram": 4553.142272,
"max_process_vram": 295749.853184,
"max_reserved": 2707.423232,
"max_allocated": 2497.900032
},
"latency": {
"unit": "s",
"count": 3,
"total": 0.14469129943847658,
"mean": 0.04823043314615886,
"stdev": 0.0001189904949878732,
"p50": 0.04831304931640625,
"p90": 0.048315478515625,
"p95": 0.04831578216552734,
"p99": 0.04831602508544922,
"values": [
0.04831304931640625,
0.04806216430664063,
0.04831608581542969
]
},
"throughput": {
"unit": "samples/s",
"value": 124.40278074670056
},
"energy": null,
"efficiency": null
}
} | null | null | null | null | null | null | null | null |
null | null | cuda_training_transformers_text-classification_FacebookAI/roberta-base | {
"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": {}
} | {
"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",
"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": false
} | {
"name": "process",
"_target_": "optimum_benchmark.launchers.process.launcher.ProcessLauncher",
"device_isolation": true,
"device_isolation_action": "error",
"numactl": false,
"numactl_kwargs": {},
"start_method": "spawn"
} | {
"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": "347e13ca9f7f904f55669603cfb9f0b6c7e8672c",
"transformers_version": "4.41.1",
"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
} | null | null | null |
null | null | null | null | null | null | null | {
"memory": {
"unit": "MB",
"max_ram": 1120.210944,
"max_global_vram": 4553.142272,
"max_process_vram": 295749.853184,
"max_reserved": 2707.423232,
"max_allocated": 2497.900032
},
"latency": {
"unit": "s",
"count": 5,
"total": 0.7799421653747558,
"mean": 0.15598843307495117,
"stdev": 0.21488782485710392,
"p50": 0.04831608581542969,
"p90": 0.3712529342651367,
"p95": 0.47850793685913073,
"p99": 0.5643119389343261,
"values": [
0.585762939453125,
0.049487926483154296,
0.04831304931640625,
0.04806216430664063,
0.04831608581542969
]
},
"throughput": {
"unit": "samples/s",
"value": 64.10731746497564
},
"energy": null,
"efficiency": null
} | {
"memory": {
"unit": "MB",
"max_ram": 1120.210944,
"max_global_vram": 4553.142272,
"max_process_vram": 295749.853184,
"max_reserved": 2707.423232,
"max_allocated": 2497.900032
},
"latency": {
"unit": "s",
"count": 2,
"total": 0.6352508659362792,
"mean": 0.3176254329681396,
"stdev": 0.26813750648498536,
"p50": 0.3176254329681396,
"p90": 0.5321354381561278,
"p95": 0.5589491888046264,
"p99": 0.5804001893234253,
"values": [
0.585762939453125,
0.049487926483154296
]
},
"throughput": {
"unit": "samples/s",
"value": 12.593449972254685
},
"energy": null,
"efficiency": null
} | {
"memory": {
"unit": "MB",
"max_ram": 1120.210944,
"max_global_vram": 4553.142272,
"max_process_vram": 295749.853184,
"max_reserved": 2707.423232,
"max_allocated": 2497.900032
},
"latency": {
"unit": "s",
"count": 3,
"total": 0.14469129943847658,
"mean": 0.04823043314615886,
"stdev": 0.0001189904949878732,
"p50": 0.04831304931640625,
"p90": 0.048315478515625,
"p95": 0.04831578216552734,
"p99": 0.04831602508544922,
"values": [
0.04831304931640625,
0.04806216430664063,
0.04831608581542969
]
},
"throughput": {
"unit": "samples/s",
"value": 124.40278074670056
},
"energy": null,
"efficiency": null
} |
{
"name": "cuda_training_transformers_text-generation_openai-community/gpt2",
"backend": {
"name": "pytorch",
"version": "2.2.2+rocm5.7",
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
"task": "text-generation",
"library": "transformers",
"model": "openai-community/gpt2",
"processor": "openai-community/gpt2",
"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": "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",
"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": false
},
"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": "347e13ca9f7f904f55669603cfb9f0b6c7e8672c",
"transformers_version": "4.41.1",
"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
}
} | {
"overall": {
"memory": {
"unit": "MB",
"max_ram": 1129.132032,
"max_global_vram": 4845.105152,
"max_process_vram": 320620.445696,
"max_reserved": 2738.880512,
"max_allocated": 2506.73664
},
"latency": {
"unit": "s",
"count": 5,
"total": 0.7559626884460449,
"mean": 0.15119253768920898,
"stdev": 0.210125697510593,
"p50": 0.04632918930053711,
"p90": 0.36189817962646487,
"p95": 0.46666933517456044,
"p99": 0.5504862596130371,
"values": [
0.5714404907226562,
0.047584712982177736,
0.04552358627319336,
0.04508470916748047,
0.04632918930053711
]
},
"throughput": {
"unit": "samples/s",
"value": 66.1408304459839
},
"energy": null,
"efficiency": null
},
"warmup": {
"memory": {
"unit": "MB",
"max_ram": 1129.132032,
"max_global_vram": 4845.105152,
"max_process_vram": 320620.445696,
"max_reserved": 2738.880512,
"max_allocated": 2506.73664
},
"latency": {
"unit": "s",
"count": 2,
"total": 0.6190252037048339,
"mean": 0.30951260185241697,
"stdev": 0.2619278888702392,
"p50": 0.30951260185241697,
"p90": 0.5190549129486084,
"p95": 0.5452477018356323,
"p99": 0.5662019329452515,
"values": [
0.5714404907226562,
0.047584712982177736
]
},
"throughput": {
"unit": "samples/s",
"value": 12.923544876881284
},
"energy": null,
"efficiency": null
},
"train": {
"memory": {
"unit": "MB",
"max_ram": 1129.132032,
"max_global_vram": 4845.105152,
"max_process_vram": 320620.445696,
"max_reserved": 2738.880512,
"max_allocated": 2506.73664
},
"latency": {
"unit": "s",
"count": 3,
"total": 0.13693748474121095,
"mean": 0.045645828247070315,
"stdev": 0.0005153574976177015,
"p50": 0.04552358627319336,
"p90": 0.04616806869506836,
"p95": 0.046248628997802736,
"p99": 0.04631307723999024,
"values": [
0.04552358627319336,
0.04508470916748047,
0.04632918930053711
]
},
"throughput": {
"unit": "samples/s",
"value": 131.4468425794223
},
"energy": null,
"efficiency": null
}
} | null | null | null | null | null | null | null | null |
null | null | cuda_training_transformers_text-generation_openai-community/gpt2 | {
"name": "pytorch",
"version": "2.2.2+rocm5.7",
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
"task": "text-generation",
"library": "transformers",
"model": "openai-community/gpt2",
"processor": "openai-community/gpt2",
"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": {}
} | {
"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",
"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": false
} | {
"name": "process",
"_target_": "optimum_benchmark.launchers.process.launcher.ProcessLauncher",
"device_isolation": true,
"device_isolation_action": "error",
"numactl": false,
"numactl_kwargs": {},
"start_method": "spawn"
} | {
"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": "347e13ca9f7f904f55669603cfb9f0b6c7e8672c",
"transformers_version": "4.41.1",
"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
} | null | null | null |
null | null | null | null | null | null | null | {
"memory": {
"unit": "MB",
"max_ram": 1129.132032,
"max_global_vram": 4845.105152,
"max_process_vram": 320620.445696,
"max_reserved": 2738.880512,
"max_allocated": 2506.73664
},
"latency": {
"unit": "s",
"count": 5,
"total": 0.7559626884460449,
"mean": 0.15119253768920898,
"stdev": 0.210125697510593,
"p50": 0.04632918930053711,
"p90": 0.36189817962646487,
"p95": 0.46666933517456044,
"p99": 0.5504862596130371,
"values": [
0.5714404907226562,
0.047584712982177736,
0.04552358627319336,
0.04508470916748047,
0.04632918930053711
]
},
"throughput": {
"unit": "samples/s",
"value": 66.1408304459839
},
"energy": null,
"efficiency": null
} | {
"memory": {
"unit": "MB",
"max_ram": 1129.132032,
"max_global_vram": 4845.105152,
"max_process_vram": 320620.445696,
"max_reserved": 2738.880512,
"max_allocated": 2506.73664
},
"latency": {
"unit": "s",
"count": 2,
"total": 0.6190252037048339,
"mean": 0.30951260185241697,
"stdev": 0.2619278888702392,
"p50": 0.30951260185241697,
"p90": 0.5190549129486084,
"p95": 0.5452477018356323,
"p99": 0.5662019329452515,
"values": [
0.5714404907226562,
0.047584712982177736
]
},
"throughput": {
"unit": "samples/s",
"value": 12.923544876881284
},
"energy": null,
"efficiency": null
} | {
"memory": {
"unit": "MB",
"max_ram": 1129.132032,
"max_global_vram": 4845.105152,
"max_process_vram": 320620.445696,
"max_reserved": 2738.880512,
"max_allocated": 2506.73664
},
"latency": {
"unit": "s",
"count": 3,
"total": 0.13693748474121095,
"mean": 0.045645828247070315,
"stdev": 0.0005153574976177015,
"p50": 0.04552358627319336,
"p90": 0.04616806869506836,
"p95": 0.046248628997802736,
"p99": 0.04631307723999024,
"values": [
0.04552358627319336,
0.04508470916748047,
0.04632918930053711
]
},
"throughput": {
"unit": "samples/s",
"value": 131.4468425794223
},
"energy": null,
"efficiency": null
} |
{
"name": "cuda_training_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": "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",
"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": false
},
"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": "347e13ca9f7f904f55669603cfb9f0b6c7e8672c",
"transformers_version": "4.41.1",
"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
}
} | {
"overall": {
"memory": {
"unit": "MB",
"max_ram": 1142.00576,
"max_global_vram": 6142.124032,
"max_process_vram": 430256.201728,
"max_reserved": 3919.577088,
"max_allocated": 3698.499072
},
"latency": {
"unit": "s",
"count": 5,
"total": 0.9550322647094727,
"mean": 0.19100645294189453,
"stdev": 0.2183476907711566,
"p50": 0.08156224060058594,
"p90": 0.4100326690673829,
"p95": 0.5188654251098632,
"p99": 0.6059316299438476,
"values": [
0.6276981811523438,
0.08156224060058594,
0.08111984252929688,
0.08111759948730468,
0.08353440093994141
]
},
"throughput": {
"unit": "samples/s",
"value": 52.35425215210959
},
"energy": null,
"efficiency": null
},
"warmup": {
"memory": {
"unit": "MB",
"max_ram": 1142.00576,
"max_global_vram": 6142.124032,
"max_process_vram": 430256.201728,
"max_reserved": 3919.577088,
"max_allocated": 3698.499072
},
"latency": {
"unit": "s",
"count": 2,
"total": 0.7092604217529297,
"mean": 0.35463021087646485,
"stdev": 0.2730679702758789,
"p50": 0.35463021087646485,
"p90": 0.573084587097168,
"p95": 0.6003913841247559,
"p99": 0.6222368217468262,
"values": [
0.6276981811523438,
0.08156224060058594
]
},
"throughput": {
"unit": "samples/s",
"value": 11.279354881001373
},
"energy": null,
"efficiency": null
},
"train": {
"memory": {
"unit": "MB",
"max_ram": 1142.00576,
"max_global_vram": 6142.124032,
"max_process_vram": 430256.201728,
"max_reserved": 3919.577088,
"max_allocated": 3698.499072
},
"latency": {
"unit": "s",
"count": 3,
"total": 0.24577184295654297,
"mean": 0.08192394765218099,
"stdev": 0.0011387628087397024,
"p50": 0.08111984252929688,
"p90": 0.0830514892578125,
"p95": 0.08329294509887696,
"p99": 0.08348610977172852,
"values": [
0.08111984252929688,
0.08111759948730468,
0.08353440093994141
]
},
"throughput": {
"unit": "samples/s",
"value": 73.23865819398496
},
"energy": null,
"efficiency": null
}
} | null | null | null | null | null | null | null | null |
null | null | cuda_training_transformers_token-classification_microsoft/deberta-v3-base | {
"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": {}
} | {
"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",
"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": false
} | {
"name": "process",
"_target_": "optimum_benchmark.launchers.process.launcher.ProcessLauncher",
"device_isolation": true,
"device_isolation_action": "error",
"numactl": false,
"numactl_kwargs": {},
"start_method": "spawn"
} | {
"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": "347e13ca9f7f904f55669603cfb9f0b6c7e8672c",
"transformers_version": "4.41.1",
"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
} | null | null | null |
null | null | null | null | null | null | null | {
"memory": {
"unit": "MB",
"max_ram": 1142.00576,
"max_global_vram": 6142.124032,
"max_process_vram": 430256.201728,
"max_reserved": 3919.577088,
"max_allocated": 3698.499072
},
"latency": {
"unit": "s",
"count": 5,
"total": 0.9550322647094727,
"mean": 0.19100645294189453,
"stdev": 0.2183476907711566,
"p50": 0.08156224060058594,
"p90": 0.4100326690673829,
"p95": 0.5188654251098632,
"p99": 0.6059316299438476,
"values": [
0.6276981811523438,
0.08156224060058594,
0.08111984252929688,
0.08111759948730468,
0.08353440093994141
]
},
"throughput": {
"unit": "samples/s",
"value": 52.35425215210959
},
"energy": null,
"efficiency": null
} | {
"memory": {
"unit": "MB",
"max_ram": 1142.00576,
"max_global_vram": 6142.124032,
"max_process_vram": 430256.201728,
"max_reserved": 3919.577088,
"max_allocated": 3698.499072
},
"latency": {
"unit": "s",
"count": 2,
"total": 0.7092604217529297,
"mean": 0.35463021087646485,
"stdev": 0.2730679702758789,
"p50": 0.35463021087646485,
"p90": 0.573084587097168,
"p95": 0.6003913841247559,
"p99": 0.6222368217468262,
"values": [
0.6276981811523438,
0.08156224060058594
]
},
"throughput": {
"unit": "samples/s",
"value": 11.279354881001373
},
"energy": null,
"efficiency": null
} | {
"memory": {
"unit": "MB",
"max_ram": 1142.00576,
"max_global_vram": 6142.124032,
"max_process_vram": 430256.201728,
"max_reserved": 3919.577088,
"max_allocated": 3698.499072
},
"latency": {
"unit": "s",
"count": 3,
"total": 0.24577184295654297,
"mean": 0.08192394765218099,
"stdev": 0.0011387628087397024,
"p50": 0.08111984252929688,
"p90": 0.0830514892578125,
"p95": 0.08329294509887696,
"p99": 0.08348610977172852,
"values": [
0.08111984252929688,
0.08111759948730468,
0.08353440093994141
]
},
"throughput": {
"unit": "samples/s",
"value": 73.23865819398496
},
"energy": null,
"efficiency": null
} |
No dataset card yet
New: Create and edit this dataset card directly on the website!
Contribute a Dataset Card- Downloads last month
- 0