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split:
cmd: python -m weasel run split
script:
- python scripts/split.py assets/annotated_data_spans.jsonl
deps:
- path: scripts/split.py
md5: 9983293e4982a7e989ba51456bfc992c
outs:
- path: assets/train.jsonl
md5: 584673b1949bfaaf9166c2212401f728
- path: assets/dev.jsonl
md5: 8dab61f2033edcfb8bbeb20a1454283d
- path: assets/test.jsonl
md5: 75ef0134ef3aa68ce76230fc6cc80dd4
convert:
cmd: python -m weasel run convert
script:
- python scripts/convert.py en assets/train.jsonl corpus
- python scripts/convert.py en assets/dev.jsonl corpus
- python scripts/convert.py en assets/test.jsonl corpus
deps:
- path: assets/train.jsonl
md5: 584673b1949bfaaf9166c2212401f728
- path: assets/dev.jsonl
md5: 8dab61f2033edcfb8bbeb20a1454283d
- path: assets/test.jsonl
md5: 75ef0134ef3aa68ce76230fc6cc80dd4
- path: scripts/convert.py
md5: 8e1f918fad38cf8867e50977d21c0408
outs:
- path: corpus/train.spacy
md5: 90c3e968d70b05835fc8042d534b15e0
- path: corpus/dev.spacy
md5: 174b964498a65cbe84993e303c7c4793
- path: corpus/test.spacy
md5: b9e5adef7f8b78fe804037a8e59a4cf0
train:
cmd: python -m weasel run train
script:
- python -m spacy train configs/config_trf.cfg --output training/ --paths.train
corpus/train.spacy --paths.dev corpus/dev.spacy --training.eval_frequency 10 --training.patience
100 --gpu-id -1 --system.seed 0
deps:
- path: configs/config.cfg
md5: 479f0a665e528cc7f32ca449a55cb3d1
- path: corpus/train.spacy
md5: 90c3e968d70b05835fc8042d534b15e0
- path: corpus/dev.spacy
md5: 174b964498a65cbe84993e303c7c4793
outs:
- path: training/model-best
md5: 8d1843c1715af55bcd109ee6e7200afd
evaluate:
cmd: python -m weasel run evaluate
script:
- python -m spacy evaluate training/model-best corpus/test.spacy --output training/metrics.json
deps:
- path: corpus/test.spacy
md5: b9e5adef7f8b78fe804037a8e59a4cf0
- path: training/model-best
md5: 8d1843c1715af55bcd109ee6e7200afd
outs:
- path: training/metrics.json
md5: 24152be0160e2a20e88a7577473b208b
train-sm:
cmd: python -m weasel run train-sm
script:
- python -m spacy train configs/config_sm.cfg --output training/sm/ --paths.train
corpus/train.spacy --paths.dev corpus/dev.spacy --training.patience 100 --gpu-id
-1 --system.seed 0
deps:
- path: configs/config.cfg
md5: 479f0a665e528cc7f32ca449a55cb3d1
- path: corpus/train.spacy
md5: 90c3e968d70b05835fc8042d534b15e0
- path: corpus/dev.spacy
md5: 174b964498a65cbe84993e303c7c4793
outs:
- path: training/model-best
md5: null
evaluate-sm:
cmd: python -m weasel run evaluate-sm
script:
- python -m spacy evaluate training/sm/model-best corpus/test.spacy --output training/sm/metrics.json
deps:
- path: corpus/test.spacy
md5: b9e5adef7f8b78fe804037a8e59a4cf0
- path: training/sm/model-best
md5: 11cd6594ac09a0def1f01c51343576b0
outs:
- path: training/sm/metrics.json
md5: 6a8ffabb350c4f0b6262c6e9c45005af
download-lg:
cmd: python -m weasel run download-lg
script:
- python -m spacy download en_core_web_lg
deps: []
outs: []
train-lg:
cmd: python -m weasel run train-lg
script:
- python -m spacy train configs/config_lg.cfg --output training/lg/ --paths.train
corpus/train.spacy --paths.dev corpus/dev.spacy --training.eval_frequency 50 --training.patience
0 --gpu-id -1 --initialize.vectors en_core_web_lg --system.seed 0 --components.tok2vec.model.embed.include_static_vectors
true
deps:
- path: configs/config_lg.cfg
md5: 283a7f5e530c92c812e7666d52e539a6
- path: corpus/train.spacy
md5: 90c3e968d70b05835fc8042d534b15e0
- path: corpus/dev.spacy
md5: 174b964498a65cbe84993e303c7c4793
outs:
- path: training/model-best
md5: null
evaluate-lg:
cmd: python -m weasel run evaluate-lg
script:
- python -m spacy evaluate training/lg/model-best corpus/test.spacy --output training/lg/metrics.json
deps:
- path: corpus/test.spacy
md5: b9e5adef7f8b78fe804037a8e59a4cf0
- path: training/lg/model-best
md5: 8e296e41d1ab48052ec122eed9154887
outs:
- path: training/lg/metrics.json
md5: 4efed860818658f1533fe204da7c169e
download-md:
cmd: python -m weasel run download-md
script:
- python -m spacy download en_core_web_md
deps: []
outs: []
evaluate-md:
cmd: python -m weasel run evaluate-md
script:
- python -m spacy evaluate training/md/model-best corpus/test.spacy --output training/md/metrics.json
deps:
- path: corpus/test.spacy
md5: b9e5adef7f8b78fe804037a8e59a4cf0
- path: training/md/model-best
md5: 2725d583e50534609145708af72679bc
outs:
- path: training/md/metrics.json
md5: b92630a9072590b0b9aef4393ca19106
train-md:
cmd: python -m weasel run train-md
script:
- python -m spacy train configs/config_md.cfg --output training/md/ --paths.train
corpus/train.spacy --paths.dev corpus/dev.spacy --training.eval_frequency 50 --training.patience
0 --gpu-id -1 --initialize.vectors en_core_web_md --system.seed 0 --components.tok2vec.model.embed.include_static_vectors
true
deps:
- path: configs/config_md.cfg
md5: b641ff9a6ba2162be49f940eeade2004
- path: corpus/train.spacy
md5: 90c3e968d70b05835fc8042d534b15e0
- path: corpus/dev.spacy
md5: 174b964498a65cbe84993e303c7c4793
outs:
- path: training/model-best
md5: null
build-table:
cmd: python -m weasel run build-table
script:
- python scripts/build-table.py
deps: []
outs: []
readme:
cmd: python -m weasel run readme
script:
- python scripts/readme.py
deps: []
outs: []
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