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Clarify train textcat example

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Matthew Honnibal 2017-07-29 21:59:27 +02:00
parent 27abc56e98
commit c16ef0a85c
1 changed files with 3 additions and 4 deletions
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examples/training/train_textcat.py
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@ -28,8 +28,8 @@ def train_textcat(tokenizer, textcat,
batch_sizes = compounding(4., 128., 1.001) batch_sizes = compounding(4., 128., 1.001)
for i in range(n_iter): for i in range(n_iter):
losses = {} losses = {}
for batch in minibatch(tqdm.tqdm(train_data, leave=False), train_data = tqdm.tqdm(train_data, leave=False) # Progress bar
size=batch_sizes): for batch in minibatch(train_data, size=batch_sizes):
docs, golds = zip(*batch) docs, golds = zip(*batch)
textcat.update((docs, None), golds, sgd=optimizer, drop=0.2, textcat.update((docs, None), golds, sgd=optimizer, drop=0.2,
losses=losses) losses=losses)
@ -105,6 +105,5 @@ def main(model_loc=None):
print(doc.cats) print(doc.cats)
if __name__ == '__main__': if __name__ == '__main__':
plac.call(main) plac.call(main)