/raid/cs21mtech12001/.local/lib/python3.6/site-packages/tensorflow/python/framework/dtypes.py:523: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
  _np_qint8 = np.dtype([("qint8", np.int8, 1)])
/raid/cs21mtech12001/.local/lib/python3.6/site-packages/tensorflow/python/framework/dtypes.py:524: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
  _np_quint8 = np.dtype([("quint8", np.uint8, 1)])
/raid/cs21mtech12001/.local/lib/python3.6/site-packages/tensorflow/python/framework/dtypes.py:525: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
  _np_qint16 = np.dtype([("qint16", np.int16, 1)])
/raid/cs21mtech12001/.local/lib/python3.6/site-packages/tensorflow/python/framework/dtypes.py:526: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
  _np_quint16 = np.dtype([("quint16", np.uint16, 1)])
/raid/cs21mtech12001/.local/lib/python3.6/site-packages/tensorflow/python/framework/dtypes.py:527: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
  _np_qint32 = np.dtype([("qint32", np.int32, 1)])
/raid/cs21mtech12001/.local/lib/python3.6/site-packages/tensorflow/python/framework/dtypes.py:532: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
  np_resource = np.dtype([("resource", np.ubyte, 1)])
2022-06-14 15:31:07.490977: I tensorflow/core/platform/cpu_feature_guard.cc:141] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 AVX512F FMA
Dictionaries loaded.
Loaded subtoken vocab. size: 4933
Loaded target word vocab. size: 2962
Loaded nodes vocab. size: 94
Created model
Starting training
WARNING:tensorflow:From /raid/cs21mtech12001/.local/lib/python3.6/site-packages/tensorflow/python/ops/sparse_ops.py:1165: sparse_to_dense (from tensorflow.python.ops.sparse_ops) is deprecated and will be removed in a future version.
Instructions for updating:
Create a `tf.sparse.SparseTensor` and use `tf.sparse.to_dense` instead.
Training batch size:                     512
Dataset path:                            /raid/cs21mtech12001/Research/Code2Seq/Data/extracted_data/final_data/notebooks_with_atleast_100_upvotes/with_summarization//with_summarization
Training file path:                      /raid/cs21mtech12001/Research/Code2Seq/Data/extracted_data/final_data/notebooks_with_atleast_100_upvotes/with_summarization//with_summarization.train.c2s
Validation path:                         /raid/cs21mtech12001/Research/Code2Seq/Data/extracted_data/final_data/notebooks_with_atleast_100_upvotes/with_summarization//with_summarization.val.c2s
Taking max contexts from each example:   200
Random path sampling:                    True
Embedding size:                          128
Using BiLSTMs, each of size:             128
Decoder size:                            320
Decoder layers:                          1
Max path lengths:                        9
Max subtokens in a token:                5
Max target length:                       6
Embeddings dropout keep_prob:            0.75
LSTM dropout keep_prob:                  0.5
============================================
Number of trainable params: 3688960
Initalized variables
Started reader...
Finished 1 epochs
Done testing, epoch reached
Evaluation time: 0h0m4s
Accuracy after 1 epochs: 0.00000
After 1 epochs: Precision: 0.00000, recall: 0.00000, F1: 0.00000
Rouge:  {'rouge-1': {'r': 0.0, 'p': 0.0, 'f': 0.0}, 'rouge-2': {'r': 0.0, 'p': 0.0, 'f': 0.0}, 'rouge-l': {'r': 0.0, 'p': 0.0, 'f': 0.0}}
Finished 1 epochs
Done testing, epoch reached
Evaluation time: 0h0m2s
Accuracy after 2 epochs: 0.00000
After 2 epochs: Precision: 0.00000, recall: 0.00000, F1: 0.00000
Rouge:  {'rouge-1': {'r': 0.0, 'p': 0.0, 'f': 0.0}, 'rouge-2': {'r': 0.0, 'p': 0.0, 'f': 0.0}, 'rouge-l': {'r': 0.0, 'p': 0.0, 'f': 0.0}}
Finished 1 epochs
Done testing, epoch reached
Evaluation time: 0h0m2s
Accuracy after 3 epochs: 0.00000
After 3 epochs: Precision: 0.00000, recall: 0.00000, F1: 0.00000
Rouge:  0
Finished 1 epochs
Done testing, epoch reached
Evaluation time: 0h0m2s
Accuracy after 4 epochs: 0.00000
After 4 epochs: Precision: 0.00000, recall: 0.00000, F1: 0.00000
Rouge:  0
Finished 1 epochs
Done testing, epoch reached
Evaluation time: 0h0m2s
Accuracy after 5 epochs: 0.00000
After 5 epochs: Precision: 0.00000, recall: 0.00000, F1: 0.00000
Rouge:  0
Finished 1 epochs
Done testing, epoch reached
Evaluation time: 0h0m4s
Accuracy after 6 epochs: 0.00000
After 6 epochs: Precision: 0.00000, recall: 0.00000, F1: 0.00000
Rouge:  0
Finished 1 epochs
Done testing, epoch reached
Evaluation time: 0h0m5s
Accuracy after 7 epochs: 0.00000
After 7 epochs: Precision: 0.00000, recall: 0.00000, F1: 0.00000
Rouge:  0
Finished 1 epochs
Done testing, epoch reached
Evaluation time: 0h0m2s
Accuracy after 8 epochs: 0.00000
After 8 epochs: Precision: 0.00000, recall: 0.00000, F1: 0.00000
Rouge:  0
Finished 1 epochs
Done testing, epoch reached
Evaluation time: 0h0m2s
Accuracy after 9 epochs: 0.00000
After 9 epochs: Precision: 0.00000, recall: 0.00000, F1: 0.00000
Rouge:  0
Finished 1 epochs
Done testing, epoch reached
Evaluation time: 0h0m5s
Accuracy after 10 epochs: 0.00000
After 10 epochs: Precision: 0.00000, recall: 0.00000, F1: 0.00000
Rouge:  0
Not improved for 10 epochs, stopping training
Best scores - epoch 0: 
Precision: 0.00000, recall: 0.00000, F1: 0.00000