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Add RoBERTa to the model suite (#2279)
Summary: https://huggingface.co/FacebookAI/xlm-roberta-base Pull Request resolved: #2279 Reviewed By: aaronenyeshi Differential Revision: D59490274 Pulled By: xuzhao9 fbshipit-source-id: 1720f09e04603fc07c1825c2fb2f9062cda50701
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from torchbenchmark.tasks import NLP | ||
from torchbenchmark.util.framework.huggingface.model_factory import HuggingFaceModel | ||
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class Model(HuggingFaceModel): | ||
task = NLP.LANGUAGE_MODELING | ||
DEFAULT_TRAIN_BSIZE = 4 | ||
DEFAULT_EVAL_BSIZE = 1 | ||
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def __init__(self, test, device, batch_size=None, extra_args=[]): | ||
super().__init__(name="hf_Roberta_base", test=test, device=device, batch_size=batch_size, extra_args=extra_args) |
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import subprocess | ||
import sys | ||
import os | ||
from torchbenchmark.util.framework.huggingface.patch_hf import patch_transformers, cache_model | ||
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def pip_install_requirements(): | ||
subprocess.check_call([sys.executable, '-m', 'pip', 'install', '-q', '-r', 'requirements.txt']) | ||
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if __name__ == '__main__': | ||
pip_install_requirements() | ||
patch_transformers() | ||
model_name = os.path.basename(os.path.dirname(os.path.abspath(__file__))) | ||
cache_model(model_name) |
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devices: | ||
NVIDIA A100-SXM4-40GB: | ||
eval_batch_size: 8 | ||
eval_benchmark: false | ||
eval_deterministic: false | ||
eval_nograd: true | ||
train_benchmark: false | ||
train_deterministic: false |
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sentencepiece | ||
datasets |
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