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Print NER loss

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Matthew Honnibal 2017-09-28 08:05:31 -05:00
parent 542ebfa498
commit ac8481a7b0
1 changed files with 3 additions and 1 deletions
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4
spacy/cli/train.py
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@ -94,7 +94,7 @@ def train(cmd, lang, output_dir, train_data, dev_data, n_iter=10, n_sents=0,
optimizer = nlp.begin_training(lambda: corpus.train_tuples, device=use_gpu) optimizer = nlp.begin_training(lambda: corpus.train_tuples, device=use_gpu)
nlp._optimizer = None nlp._optimizer = None
print("Itn.\tLoss\tUAS\tNER P.\tNER R.\tNER F.\tTag %\tToken %") print("Itn.\tP.Loss\tN.Loss\tUAS\tNER P.\tNER R.\tNER F.\tTag %\tToken %")
try: try:
train_docs = corpus.train_docs(nlp, projectivize=True, noise_level=0.0, train_docs = corpus.train_docs(nlp, projectivize=True, noise_level=0.0,
gold_preproc=gold_preproc, max_length=0) gold_preproc=gold_preproc, max_length=0)
@ -158,12 +158,14 @@ def print_progress(itn, losses, dev_scores, wps=0.0):
'ents_p', 'ents_r', 'ents_f', 'wps']: 'ents_p', 'ents_r', 'ents_f', 'wps']:
scores[col] = 0.0 scores[col] = 0.0
scores['dep_loss'] = losses.get('parser', 0.0) scores['dep_loss'] = losses.get('parser', 0.0)
scores['ner_loss'] = losses.get('ner', 0.0)
scores['tag_loss'] = losses.get('tagger', 0.0) scores['tag_loss'] = losses.get('tagger', 0.0)
scores.update(dev_scores) scores.update(dev_scores)
scores['wps'] = wps scores['wps'] = wps
tpl = '\t'.join(( tpl = '\t'.join((
'{:d}', '{:d}',
'{dep_loss:.3f}', '{dep_loss:.3f}',
'{ner_loss:.3f}',
'{uas:.3f}', '{uas:.3f}',
'{ents_p:.3f}', '{ents_p:.3f}',
'{ents_r:.3f}', '{ents_r:.3f}',