You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
This is what I get when I run the main.py:
$ python3 main.py -n_epoch 1
[dynet] random seed: 1314159
[dynet] allocating memory: 4096MB
[dynet] memory allocation done.
N opinion: 3041
N dataset: 3041
N opinion: 800
N dataset: 800
Use the saved word embeddings
Embeddings shape: (5302, 300)
Use case-insensitive word embeddings
Parameters: Namespace(attention_type='bilinear', dim_asp=100, dim_opi=30, dim_w=300, dropout=0.5, dropout_asp=0.5, dropout_opi=0.5, ds_name='14semeval_rest', dynet_seed=1314159, flag='glove_840B', model_name='full', n_asp_tags=3, n_epoch=1, n_opi_tags=2, n_steps=5, optimizer='sgd', random_seed=1234, rnn_type='LSTM', running_mode='train-test', sgd_lr=0.07, win=3)
Use pretrained word embeddings
In Epoch 1 / 1:
The dy.parameter(...) call is now DEPRECATED.
There is no longer need to explicitly add parameters to the computation graph.
Any used parameter will be added automatically.
train loss: 18462.82, train precision: 67.54, train recall: 59.55, train f1: 63.29
Current results: precision: 81.03, recall: 77.60, f1: 79.27
$
The text was updated successfully, but these errors were encountered:
jackrobson
changed the title
How do you use the trained models?
How to train and use models?
Jan 4, 2019
For you question, you need to save the trained model first. Then, load the saved model into the memory and call the instance function (i.e., call) of the class MODEL. Note that you should set "is_train" as False and the size of the current dataset as 1 (containing your input sentence).
Hi
I've managed to setup and compile your project.
The script main.py runs without errors [see bottom for script output].
However, I can't figure out how to save a trained model and then use it.
I.e. let's say I have an input text file with one line
"Wasted so much money on previous laptops - why did I not buy this from the start.... Extremely happy with this product!"
How do I train the model, i.e. using the 14semeval_laptop dataset, and then use the model on my input text file?
Encase you need to send me something, my email is [email protected]
This is what I get when I run the main.py:
$ python3 main.py -n_epoch 1
[dynet] random seed: 1314159
[dynet] allocating memory: 4096MB
[dynet] memory allocation done.
N opinion: 3041
N dataset: 3041
N opinion: 800
N dataset: 800
Use the saved word embeddings
Embeddings shape: (5302, 300)
Use case-insensitive word embeddings
Parameters: Namespace(attention_type='bilinear', dim_asp=100, dim_opi=30, dim_w=300, dropout=0.5, dropout_asp=0.5, dropout_opi=0.5, ds_name='14semeval_rest', dynet_seed=1314159, flag='glove_840B', model_name='full', n_asp_tags=3, n_epoch=1, n_opi_tags=2, n_steps=5, optimizer='sgd', random_seed=1234, rnn_type='LSTM', running_mode='train-test', sgd_lr=0.07, win=3)
Use pretrained word embeddings
In Epoch 1 / 1:
The dy.parameter(...) call is now DEPRECATED.
There is no longer need to explicitly add parameters to the computation graph.
Any used parameter will be added automatically.
train loss: 18462.82, train precision: 67.54, train recall: 59.55, train f1: 63.29
Current results: precision: 81.03, recall: 77.60, f1: 79.27
$
The text was updated successfully, but these errors were encountered: