mirror of https://github.com/explosion/spaCy.git
Remove length cap on sentences
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@ -70,12 +70,12 @@ def train(_, lang, output_dir, train_data, dev_data, n_iter=20, n_sents=0,
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optimizer = nlp.begin_training(lambda: corpus.train_tuples, use_gpu=use_gpu)
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print("Itn.\tDep. Loss\tUAS\tNER P.\tNER R.\tNER F.\tTag %\tToken %")
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print("Itn.\tLoss\tUAS\tNER P.\tNER R.\tNER F.\tTag %\tToken %")
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try:
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for i in range(n_iter):
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with tqdm.tqdm(total=corpus.count_train(), leave=False) as pbar:
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train_docs = corpus.train_docs(nlp, projectivize=True,
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gold_preproc=False, max_length=1000)
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gold_preproc=False, max_length=0)
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losses = {}
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for batch in minibatch(train_docs, size=batch_sizes):
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docs, golds = zip(*batch)
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