-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathreproduce_word_rnn_results
53 lines (35 loc) · 3.95 KB
/
reproduce_word_rnn_results
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
### Running RNNs
python2 rnn_tensorflow.py -embeds stock -dataset toxic -cell gru -adapt_lr -tag refresh -sigmoid -nepochs 5 -max_length 150
python2 rnn_tensorflow.py -embeds stock -dataset toxic -cell lstm -adapt_lr -tag refresh -sigmoid -nepochs 5 -max_length 150
python2 rnn_tensorflow.py -embeds stock -dataset attack -cell gru -adapt_lr -tag refresh -sigmoid -nepochs 5 -max_length 150
python2 rnn_tensorflow.py -embeds stock -dataset attack -cell lstm -adapt_lr -tag refresh -sigmoid -nepochs 5 -max_length 150
python2 rnn_tensorflow.py -embeds stock -dataset toxic -cell gru -adapt_lr -tag refresh -sigmoid -nepochs 5 -bd -max_length 150
python2 rnn_tensorflow.py -embeds stock -dataset toxic -cell lstm -adapt_lr -tag refresh -sigmoid -nepochs 5 -bd -max_length 150
python2 rnn_tensorflow.py -embeds stock -dataset attack -cell gru -adapt_lr -tag refresh -sigmoid -nepochs 5 -bd -max_length 150
python2 rnn_tensorflow.py -embeds stock -dataset attack -cell lstm -adapt_lr -tag refresh -sigmoid -nepochs 5 -bd -max_length 150
python2 rnn_tensorflow.py -embeds stock -dataset toxic -cell gru -adapt_lr -tag refresh -sigmoid -nepochs 5 -attn -max_length 150
python2 rnn_tensorflow.py -embeds stock -dataset toxic -cell lstm -adapt_lr -tag refresh -sigmoid -nepochs 5 -attn -max_length 150
python2 rnn_tensorflow.py -embeds stock -dataset attack -cell gru -adapt_lr -tag refresh -sigmoid -nepochs 5 -attn -max_length 150
python2 rnn_tensorflow.py -embeds stock -dataset attack -cell lstm -adapt_lr -tag refresh -sigmoid -nepochs 5 -attn -max_length 150
python2 rnn_tensorflow.py -embeds stock -dataset toxic -cell gru -adapt_lr -tag refresh -sigmoid -nepochs 5 -attn -bd -max_length 150
python2 rnn_tensorflow.py -embeds stock -dataset toxic -cell lstm -adapt_lr -tag refresh -sigmoid -nepochs 5 -attn -bd -max_length 150
python2 rnn_tensorflow.py -embeds stock -dataset attack -cell gru -adapt_lr -tag refresh -sigmoid -nepochs 5 -attn -bd -max_length 150
python2 rnn_tensorflow.py -embeds stock -dataset attack -cell lstm -adapt_lr -tag refresh -sigmoid -nepochs 5 -attn -bd -max_length 150
### Doing baselines and getting all results
python2 logistic_baseline_tensorflow_refresh.py -nettype zero -dataset toxic -reglevel 0
python2 logistic_baseline_tensorflow_refresh.py -nettype zero -dataset attack -reglevel 0
python2 sigmoid_baseline_tensorflow_refresh.py -nettype zero -dataset toxic -reglevel 0
python2 sigmoid_baseline_tensorflow_refresh.py -nettype zero -dataset attack -reglevel 0
python 2 consolidate_baseline_results.py
### Getting attention scores and top category comments from -bd -lstm models
python2 rnn_tensorflow_save_output.py -embeds stock -dataset toxic -cell gru -adapt_lr -tag refresh -sigmoid -nepochs 5 -attn -bd -max_length 150
python2 rnn_tensorflow_save_output.py -embeds stock -dataset toxic -cell lstm -adapt_lr -tag refresh -sigmoid -nepochs 5 -attn -bd -max_length 150
python2 rnn_tensorflow_save_output.py -embeds stock -dataset attack -cell gru -adapt_lr -tag refresh -sigmoid -nepochs 5 -attn -bd -max_length 150
python2 rnn_tensorflow_save_output.py -embeds stock -dataset attack -cell lstm -adapt_lr -tag refresh -sigmoid -nepochs 5 -attn -bd -max_length 150
python2 rnn_results.py -embeds stock -dataset toxic -cell gru -adapt_lr -tag refresh -sigmoid -nepochs 5 -attn -bd -max_length 150
python2 rnn_results.py -embeds stock -dataset toxic -cell lstm -adapt_lr -tag refresh -sigmoid -nepochs 5 -attn -bd -max_length 150
python2 rnn_results.py -embeds stock -dataset attack -cell gru -adapt_lr -tag refresh -sigmoid -nepochs 5 -attn -bd -max_length 150
python2 rnn_results.py -embeds stock -dataset attack -cell lstm -adapt_lr -tag refresh -sigmoid -nepochs 5 -attn -bd -max_length 150
### Doing best word-level rnns with custom embeddings
python2 rnn_tensorflow.py -embeds ours -dataset attack -cell lstm -adapt_lr -sigmoid -nepochs 5 -attn -bd -max_length 150
python2 rnn_tensorflow.py -embeds ours -dataset toxic -cell gru -adapt_lr -sigmoid -nepochs 5 -attn -bd -max_length 150