sismetanin / emosense-semeval2019-task3-emocontext Goto Github PK

121/121 [==============================] - ETA: 0s - loss: 0.7658 - acc: 0.6902Traceback (most recent call last):
File "Jarvis.py", line 208, in
history = model.fit([message_first_message_train, message_second_message_train, message_third_message_train],
File "C:\Users\DELL\anaconda3\lib\site-packages\tensorflow\python\keras\engine\training.py", line 108, in _method_wrapper
return method(self, *args, **kwargs)
File "C:\Users\DELL\anaconda3\lib\site-packages\tensorflow\python\keras\engine\training.py", line 1137, in fit
callbacks.on_epoch_end(epoch, epoch_logs)
File "C:\Users\DELL\anaconda3\lib\site-packages\tensorflow\python\keras\callbacks.py", line 416, in on_epoch_end
callback.on_epoch_end(epoch, numpy_logs)
File "C:\Users\DELL\anaconda3\lib\site-packages\kutilities\callbacks.py", line 103, in on_epoch_end
self.add_predictions(data if len(data) > 1 else data[0], name=name,
File "C:\Users\DELL\anaconda3\lib\site-packages\kutilities\callbacks.py", line 98, in add_predictions
self.params['metrics'].append(entry)
KeyError: 'metrics'

@sismetanin

Iam getting this error, please help me

Hello!

In your code for the emotion detection task (link: https://github.com/sismetanin/emosense-semeval2019-task3-emocontext/blob/master/EmoSense%20at%20SemEval2019%20Task%203%20EmoContext.ipynb)

Did you encounter this error:

OSError: Unable to open file (unable to open file: name = 'models/bidirectional_LSTM_best_weights_0010-0.9125.hdf5', errno = 2, error message = No such file or directory', flags = 0, o_flags = 0)

While running this line [29]:
model.load_weights("models/bidirectional_LSTM_best_weights_0010-0.9125.hdf5")

I've tried !pip install h5py and import h5py but neither helped.

Although I'm getting this error, it doesn't stop the classification report from being created, However, the report I'm getting is entirely different from what you have (see below). I suspect the differences in our reports are due to the above OSError.

f1_e 0.0
precision_e 0.0
recoll_e 0.0
              precision    recall  f1-score   support

           0       0.85      1.00      0.92      2338
           1       0.00      0.00      0.00       142
           2       0.00      0.00      0.00       125
           3       0.00      0.00      0.00       150

    accuracy                           0.85      2755
   macro avg       0.21      0.25      0.23      2755
weighted avg       0.72      0.85      0.78      2755

UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples. Use zero_division parameter to control this behavior.

To solve this, I tried setting zero_division=0 or 1 and neither helped.

Please help if you can! Thanks :)

I saw 197,824,434 parameter and 20 epochs in your jupyter file. Also, in SemEval-2019 Task 3: EmoContext Contextual Emotion Detection in Text paper mentioned that the training set is contained around 30,000 rows.
I think these are big values, so how long it takes for training in which resource for you?

ModuleNotFoundError: No module named 'kutilities'
Collecting kutilities
ERROR: Could not find a version that satisfies the requirement kutilities (from versions: none)
ERROR: No matching distribution found for kutilities

Also dev and test files are missing
plz HELP!!!!

NameError Traceback (most recent call last)
in
45 return model
46
---> 47 model = buildModel(embeddings_matrix, MAX_SEQUENCE_LENGTH, lstm_dim=64, hidden_layer_dim=30, num_classes=4)

NameError: name 'embeddings_matrix' is not defined

Please help me in this.... @ sismetanin
@sismetanin

Hello,

Where are the training and testing sets?

Hi
I'm looking for the Baseline of this competition source code.