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stages:
prepare:
cmd: python -m scripts.prepare
deps:
- scripts/prepare.py
- data/all.csv
params:
- basic
outs:
- outputs/vocab.plk
- outputs/config.json
validate:
foreach: # List of simple values
- mlp
- lstm
- cnn
- selected
do:
cmd: python -m scripts.validate ${item}
deps:
- data/all.csv
- outputs/vocab.plk
- outputs/config.json
- scripts/validate.py
params:
- ${item}
- validate
metrics:
- outputs/${item}_validate_results.json:
cache: false
plots:
- outputs/${item}_validate_plots.csv:
cache: false
validate_bert:
foreach: # List of simple values
bert-base-uncased_basic:
pretrained_model: bert-base-uncased
method: basic
bert-base-uncased_lstm:
pretrained_model: bert-base-uncased
method: lstm
bert-large-uncased_basic:
pretrained_model: bert-large-uncased
method: basic
bert-large-uncased_lstm:
pretrained_model: bert-large-uncased
method: lstm
do:
cmd: python -m scripts.validate_bert bert ${item.pretrained_model} ${item.method}
deps:
- data/all.csv
- model/bert/${item.method}.py
- scripts/validate_bert.py
params:
- bert.max_len
- bert.do_lower_case
- bert.${item.method}
- validate
metrics:
- outputs/bert-${item.pretrained_model}-${item.method}_validate_results.json:
cache: false
plots:
- outputs/bert-${item.pretrained_model}-${item.method}_validate_plots.csv:
cache: false
validate_xlnet:
foreach: # List of simple values
- basic
- sequence_classification
do:
cmd: python -m scripts.validate_bert xlnet ${item}
deps:
- data/all.csv
- model/xlnet/${item}.py
- scripts/validate_bert.py
params:
- xlnet.max_len
- xlnet.${item}
- xlnet.pretrained_model
- validate
metrics:
- outputs/xlnet-${item}_validate_results.json:
cache: false
plots:
- outputs/xlnet-${item}_validate_plots.csv:
cache: false
validate_roberta:
foreach: # List of simple values
siebert/sentiment-roberta-large-english_sentiment:
pretrained_model: siebert/sentiment-roberta-large-english
method: sentiment
do:
cmd: python -m scripts.validate_bert roberta ${item.pretrained_model} ${item.method}
deps:
- data/train.csv
- model/roberta/${item.method}.py
- scripts/validate_bert.py
params:
- roberta.max_len
- roberta.do_lower_case
- roberta.${item.method}
- validate
metrics:
- outputs/roberta-${item.pretrained_model}-${item.method}_validate_results.json:
cache: false
plots:
- outputs/roberta-${item.pretrained_model}-${item.method}_validate_plots.csv:
cache: false
train:
foreach: # List of simple values
- mlp
- lstm
- cnn
- selected
do:
cmd: python -m scripts.train ${item}
deps:
- data/all.csv
- outputs/vocab.plk
- outputs/config.json
- scripts/train.py
params:
- ${item}
- train
metrics:
- outputs/${item}_results.json:
cache: false
plots:
- outputs/${item}_plots.csv:
cache: false
outs:
- outputs/${item}_checkpoint.pth
train_bert:
foreach: # List of simple values
bert-base-uncased_basic:
pretrained_model: bert-base-uncased
method: basic
bert-base-uncased_lstm:
pretrained_model: bert-base-uncased
method: lstm
bert-large-uncased_basic:
pretrained_model: bert-large-uncased
method: basic
bert-large-uncased_lstm:
pretrained_model: bert-large-uncased
method: lstm
bert-large-uncased_cnn:
pretrained_model: bert-large-uncased
method: cnn
do:
cmd: python -m scripts.train_bert bert ${item.pretrained_model} ${item.method}
deps:
- data/all.csv
- model/bert/${item.method}.py
- scripts/train_bert.py
params:
- bert.max_len
- bert.do_lower_case
- bert.${item.method}
- train
metrics:
- outputs/bert-${item.pretrained_model}-${item.method}_results.json:
cache: false
plots:
- outputs/bert-${item.pretrained_model}-${item.method}_plots.csv:
cache: false
outs:
- outputs/bert-${item.pretrained_model}-${item.method}_checkpoint.pth
train_xlnet:
foreach: # List of simple values
xlnet-base-cased_basic:
pretrained_model: xlnet-base-cased
method: basic
xlnet-large-cased_basic:
pretrained_model: xlnet-large-cased
method: basic
xlnet-large-cased_cnn:
pretrained_model: xlnet-large-cased
method: cnn
do:
cmd: python -m scripts.train_bert xlnet ${item.pretrained_model} ${item.method}
deps:
- data/all.csv
- model/xlnet/${item.method}.py
- scripts/train_bert.py
params:
- xlnet.max_len
- xlnet.do_lower_case
- xlnet.${item.method}
- train
metrics:
- outputs/xlnet-${item.pretrained_model}-${item.method}_results.json:
cache: false
plots:
- outputs/xlnet-${item.pretrained_model}-${item.method}_plots.csv:
cache: false
outs:
- outputs/xlnet-${item.pretrained_model}-${item.method}_checkpoint.pth
train_roberta:
foreach: # List of simple values
roberta-base_basic:
pretrained_model: roberta-base
method: basic
roberta-large_basic:
pretrained_model: roberta-large
method: basic
roberta-large_cnn:
pretrained_model: roberta-large
method: cnn
do:
cmd: python -m scripts.train_bert roberta ${item.pretrained_model} ${item.method}
deps:
- data/all.csv
- model/roberta/${item.method}.py
- scripts/train_bert.py
params:
- roberta.max_len
- roberta.do_lower_case
- roberta.${item.method}
- train
metrics:
- outputs/roberta-${item.pretrained_model}-${item.method}_results.json:
cache: false
plots:
- outputs/roberta-${item.pretrained_model}-${item.method}_plots.csv:
cache: false
outs:
- outputs/roberta-${item.pretrained_model}-${item.method}_checkpoint.pth
train_albert:
foreach: # List of simple values
albert-xlarge-v2_cnn:
pretrained_model: albert-xlarge-v2
method: cnn
do:
cmd: python -m scripts.train_bert albert ${item.pretrained_model} ${item.method}
deps:
- data/all.csv
- model/albert/${item.method}.py
- scripts/train_bert.py
params:
- albert.max_len
- albert.do_lower_case
- albert.${item.method}
- train
metrics:
- outputs/albert-${item.pretrained_model}-${item.method}_results.json:
cache: false
plots:
- outputs/albert-${item.pretrained_model}-${item.method}_plots.csv:
cache: false
outs:
- outputs/albert-${item.pretrained_model}-${item.method}_checkpoint.pth
inference:
foreach: # List of simple values
- mlp
- lstm
- cnn
- selected
do:
cmd: python -m scripts.inference ${item}
deps:
- data/test.csv
- scripts/inference.py
- outputs/${item}_checkpoint.pth
- outputs/config.json
outs:
- outputs/${item}_submission.csv
inference_bert:
foreach: # List of simple values
bert-base-uncased_basic:
pretrained_model: bert-base-uncased
method: basic
bert-base-uncased_lstm:
pretrained_model: bert-base-uncased
method: lstm
bert-large-uncased_basic:
pretrained_model: bert-large-uncased
method: basic
bert-large-uncased_cnn:
pretrained_model: bert-large-uncased
method: cnn
bert-large-uncased_lstm:
pretrained_model: bert-large-uncased
method: lstm
do:
cmd: python -m scripts.inference_bert bert ${item.pretrained_model} ${item.method}
deps:
- data/test.csv
- scripts/inference_bert.py
- outputs/bert-${item.pretrained_model}-${item.method}_checkpoint.pth
outs:
- outputs/bert-${item.pretrained_model}-${item.method}_submission.csv
inference_xlnet:
foreach: # List of simple values
xlnet-base-cased_basic:
pretrained_model: xlnet-base-cased
method: basic
xlnet-large-cased_basic:
pretrained_model: xlnet-large-cased
method: basic
xlnet-large-cased_cnn:
pretrained_model: xlnet-large-cased
method: cnn
do:
cmd: python -m scripts.inference_bert xlnet ${item.pretrained_model} ${item.method}
deps:
- data/test.csv
- scripts/inference_bert.py
- outputs/xlnet-${item.pretrained_model}-${item.method}_checkpoint.pth
outs:
- outputs/xlnet-${item.pretrained_model}-${item.method}_submission.csv
inference_roberta:
foreach: # List of simple values
roberta-base_basic:
pretrained_model: roberta-base
method: basic
roberta-large_basic:
pretrained_model: roberta-large
method: basic
roberta-large_cnn:
pretrained_model: roberta-large
method: cnn
do:
cmd: python -m scripts.inference_bert roberta ${item.pretrained_model} ${item.method}
params:
- roberta.eval_max_len
deps:
- data/test.csv
- scripts/inference_bert.py
- outputs/roberta-${item.pretrained_model}-${item.method}_checkpoint.pth
outs:
- outputs/roberta-${item.pretrained_model}-${item.method}_submission.csv
inference_albert:
foreach: # List of simple values
albert-xlarge-v2_cnn:
pretrained_model: albert-xlarge-v2
method: cnn
do:
cmd: python -m scripts.inference_bert albert ${item.pretrained_model} ${item.method}
params:
- albert.eval_max_len
deps:
- data/test.csv
- scripts/inference_bert.py
- outputs/albert-${item.pretrained_model}-${item.method}_checkpoint.pth
outs:
- outputs/albert-${item.pretrained_model}-${item.method}_submission.csv
ensemble:
cmd: python -m scripts.ensemble
deps:
- scripts/ensemble.py
- data/test.csv
- outputs/bert-bert-large-uncased-basic_checkpoint.pth
- outputs/roberta-roberta-large-basic_checkpoint.pth
- outputs/xlnet-xlnet-large-cased-basic_checkpoint.pth
params:
- evaluate
outs:
- outputs/ensemble.csv
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