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lens-metric

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0.2.0 lens_metric-0.2.0-py3-none-any.whl

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Project: lens-metric
Version: 0.2.0
Filename: lens_metric-0.2.0-py3-none-any.whl
Download: [link]
Size: 48077
MD5: 62b2df4bd49a2358a8492979c033e76b
SHA256: e8bdc18a87a66875035187eb88e5f8f835aee975df8089e93f85102c45000f80
Uploaded: 2024-05-11 20:54:26 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: lens_metric
Version: 0.2.0
Summary: A learnable evaluation metric for text simplification
Author: Mounica Maddela
Author-Email: mmaddela3[at]gatech.edu
Home-Page: https://github.com/Yao-Dou/LENS
Download-Url: https://github.com/Yao-Dou/LENS/archive/refs/tags/v0.2.0.tar.gz
License: Apache license
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Science/Research
Requires-Dist: sentencepiece (>=0.1.96)
Requires-Dist: pandas (<2.0.0,>=1.5.0)
Requires-Dist: transformers (>=4.8)
Requires-Dist: pytorch-lightning (==2.0.9)
Requires-Dist: jsonargparse (==3.13.1)
Requires-Dist: torch (>=2.0.1)
Requires-Dist: numpy (>=1.20.0)
Requires-Dist: torchmetrics (>=0.7)
Requires-Dist: sacrebleu (>=2.0.0)
Requires-Dist: scipy (>=1.5.4)
License-File: LICENSE
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WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.43.0)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
lens/__init__.py sha256=XnFx57z8JvzTcOw27cG3LU2fltqIHC9FRlu7kcpnkUE 98
lens/lens_score.py sha256=8KPRTnQGewObLDJU_sFzk3lyVEIiQIlY9IKvH3SRapU 5606
lens/encoders/__init__.py sha256=mnuuEj3wwy_DPYESVYUIQsj8ZvxuVUMIynaSZU23RW0 717
lens/encoders/base.py sha256=AyFWKBGiVg7QlKbSNeI1mXxxGUH7Lyi-Hu808om932c 15111
lens/encoders/bert.py sha256=wVgUKt9nyyPx5XY52mKsM5Qi-3hqJndKCjIFHKZfd-w 5424
lens/encoders/roberta.py sha256=zn8aIKGoCwAFXuyTxIEUwr6DKOePkYdJDWWLlLdnDU4 2256
lens/models/__init__.py sha256=jfAKF2PZtl5dqpr6zCGCpu8FgJNTJR2rS2WuSYuw8uM 2355
lens/models/base.py sha256=GalqmFbyyxZBkMOtOMe7x5VsNSTW3zLTvUxYpkVqzq0 25487
lens/models/lru_cache.py sha256=jEsCTVHRYlFyxU0oPoS0nLMXZ0pVlhEhcPzT8nkbfO4 8990
lens/models/metrics.py sha256=VzfoOr6tS2LH3MdqPTIGysGTMTv_ByGHBOfhozV2gVo 4168
lens/models/pooling_utils.py sha256=-okB6OiorcMODWQ3AA9zRqMC6gPjJ-Tbx_5VUojhF4Q 2266
lens/models/predict_pbar.py sha256=X3MEqmGEi4KdKld-tDwkC_fkwYdm-2h68BoyBsyNS00 1204
lens/models/predict_writer.py sha256=BRgDIBZC4hLb3InneeGyMAFvQqQzELtOZyik4iRlBg4 4698
lens/models/regression_metric_multi_ref.py sha256=sSB-tctcGU2gGLJ2kz4k15PYunqzTkL1Obd3ciOkao4 14966
lens/models/unified_metric.py sha256=UETarQr4UYLOHwLzSG-fnxXvofT4GVLOpgi1EztQT8A 31848
lens/models/utils.py sha256=M7NRVo1QqGg5Az4oeaMpN5NPuuRlIDyciP9uLIFHb3s 3173
lens/modules/__init__.py sha256=kvYypZvkmfJLCe0ZujGPBvvVrVYGWu_3Wt_4diaBhMg 104
lens/modules/feedforward.py sha256=zVrtDGbFyj3FGEAjmDTFpwJfCZl-ehaZ3NQArQa5_VA 2549
lens/modules/layerwise_attention.py sha256=rJMYJpih4amcu6qNzQfWjFt98VWxM7qN93uF93HCgxs 5517
lens_metric-0.2.0.dist-info/LICENSE sha256=MwIllNWowirnnd6c1OfOfLVqiectorqzhrsQ36JiGkE 9693
lens_metric-0.2.0.dist-info/METADATA sha256=WFE1n70p52CAh9Ec32OBT2r-m8qAv8KNAGbuLfJkxEc 794
lens_metric-0.2.0.dist-info/WHEEL sha256=GJ7t_kWBFywbagK5eo9IoUwLW6oyOeTKmQ-9iHFVNxQ 92
lens_metric-0.2.0.dist-info/top_level.txt sha256=weQcpg8Ic-kDl-iV7HcZ-TOJbXaihpy6vVm771yjAyw 5
lens_metric-0.2.0.dist-info/RECORD — —

top_level.txt

lens