Implementing Recurrent Neural Network from Scratch

Reading CSV file...
Parsed 79171 sentences.
Found 65376 unique words tokens.
Using vocabulary size 8000.
The least frequent word in our vocabulary is ‘documentary‘ and appeared 10 times.
Example sentence: ‘SENTENCE_START i joined a new league this year and they have different scoring rules than i‘m used to. SENTENCE_END‘
Example sentence after Pre-processing: ‘[‘SENTENCE_START‘, ‘i‘, ‘joined‘, ‘a‘, ‘new‘, ‘league‘, ‘this‘, ‘year‘, ‘and‘, ‘they‘, ‘have‘, ‘different‘, ‘scoring‘, ‘rules‘, ‘than‘, ‘i‘, "‘m", ‘used‘, ‘to‘, ‘.‘, ‘SENTENCE_END‘]‘
X_train shape: (78483,)
y_train shape: (78483,)
x:
SENTENCE_START what are n‘t you understanding about this ? !
[0, 51, 27, 16, 10, 858, 54, 25, 34, 69]
y:
what are n‘t you understanding about this ? ! SENTENCE_END
[51, 27, 16, 10, 858, 54, 25, 34, 69, 1]
2020-02-17 21:40:17: Loss after num_examples_seen=0 epoch=0: 8.987458
2020-02-17 21:42:08: Loss after num_examples_seen=100 epoch=1: 8.973082
2020-02-17 21:44:01: Loss after num_examples_seen=200 epoch=2: 8.951076
2020-02-17 21:45:51: Loss after num_examples_seen=300 epoch=3: 8.907623
2020-02-17 21:47:41: Loss after num_examples_seen=400 epoch=4: 8.803412
2020-02-17 21:49:35: Loss after num_examples_seen=500 epoch=5: 6.866650
2020-02-17 21:51:26: Loss after num_examples_seen=600 epoch=6: 6.271906
2020-02-17 21:53:18: Loss after num_examples_seen=700 epoch=7: 5.981103
2020-02-17 21:55:09: Loss after num_examples_seen=800 epoch=8: 5.786999
2020-02-17 21:57:01: Loss after num_examples_seen=900 epoch=9: 5.654783