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python -m spacy train hi spacy_hi spacy_hi/hi-ud-train.json spacy_hi/hi-ud-test.json -n 2
dropout_from = 0.2 by default
dropout_to = 0.2 by default
dropout_decay = 0.0 by default
batch_from = 1 by default
batch_to = 16 by default
batch_compound = 1.001 by default
max_doc_len = 5000 by default
beam_width = 1 by default
beam_density = 0.0 by default
beam_width = 1 by default
beam_density = 0.0 by default
learn_rate = 0.001 by default
optimizer_B1 = 0.9 by default
optimizer_B2 = 0.999 by default
optimizer_eps = 1e-08 by default
L2_penalty = 1e-06 by default
grad_norm_clip = 1.0 by default
embed_size = 7000 by default
token_vector_width = 128 by default
parser_hidden_depth = 1 by default
parser_maxout_pieces = 2 by default
token_vector_width = 128 by default
hidden_width = 200 by default
embed_size = 7000 by default
history_feats = 0 by default
history_width = 0 by default
parser_hidden_depth = 1 by default
parser_maxout_pieces = 2 by default
token_vector_width = 128 by default
hidden_width = 200 by default
embed_size = 7000 by default
history_feats = 0 by default
history_width = 0 by default
Itn. P.Loss N.Loss UAS NER P. NER R. NER F. Tag % Token %
0 21328.622 0.000 89.497 0.000 0.000 0.000 94.750 100.0001734.5 0.0
1 391.986 0.000 90.612 0.000 0.000 0.000 95.069 100.000 1884.5 0.0
Saving model...
Error saving model
I am training the UniversalDependencies/UD_Hindi for Hindi language but I am getting some error while saving the model.
python -m spacy train hi spacy_hi spacy_hi/hi-ud-train.json spacy_hi/hi-ud-test.json -n 2
Although these following files were generated:
Info about spaCy
The text was updated successfully, but these errors were encountered: