itag.h5 file not found

[maral1988]

Hi I am trying to run itag on windows . after gathering and preproccessing data Now I run itag.py but there is a runtime error :

 File "h5py\_objects.pyx", line 54, in h5py._objects.with_phil.wrapper
File "h5py\_objects.pyx", line 55, in h5py._objects.with_phil.wrapper
File "h5py\h5f.pyx", line 85, in h5py.h5f.open
 OSError: Unable to open file (unable to open file: name = 'itag.h5', errno = 2, error message = 'No such file or directory', flags = 0, o_flags = 0)

should I create h5 file first?
thanks

[Tangworld]

You could comment out line 144 because itag.h5 is used to save the result of training, and line 141 model.fit() will create itag.h5.
And maybe you should learn more about Keras.
Best wishes

[maral1988]

Thanks. Yes I'm new to keras and deep Learning. Now there is an error in this line :
prs, weights, pgen, en_st1, en_st2, en_st3 = decoder_model.predict([current, full_context, en_st1, en_st2, en_st3]) in itag.py .
error:
InvalidArgumentError (see above for traceback): indices[0,0] = 20705 is not in [0, 20705)
Do you any idea about it?
thank you very much

[maral1988]

And this the output before training:

   1 28 17.90344827586207

2 2 2.0
unique_words: 1511
common: 0
unique_tags: 0
index: 1514
tags index: 1514
shared_index: 1514
tag from : 1514
sfs end: 1514
sfs start: 1515
Train on 234 samples, validate on 27 samples
Epoch 1/60

[Tangworld]

Well, you used your own data, so you should update parameters(line16-line38).

ALL_WORDS : total amount of words and tags
WORD_VOCAB: amount of words in texts
LABEL_VOCAB: amount of tags
DE_TOKENS = LABEL_VOCAB - 2 # remove pad and start tokens from file_vocab
MAX_WORDS: the max length of texts
MAX_LABELS: the max length of tags
INDEX_FROM = 3
END_TOKEN : 'sfs end' in the output
START_TOKEN: 'sfs start' in the output
LABEL_FROM: 'tag from' in the output
GRU_SIZE = 256
ATTENTION_SIZE = 256
EMBEDDING_DIM = 100
KEEP_PROB = 0.1
NUM_EPOCHS = 60
BATCH_SIZE = 100
TOPIC_NUM = 100
BEAM_SIZE = 3
MAX_LENGTH = 5

[maral1988]

That's ok thanks

[maral1988]

I got confused about some of theses parameters. could you please calulate these parameters for this simple example ?

text1 : I love python #python
text2 : python is wonderful #python
text3 : deep learning is amazing #deep_learning

thank you very very very much