Programming Assigement A2 NER : model does not deliver expected prediction output

Course Q&A Deep Learning Specialization Sequence Models
1

Hi, I need some help here. Model training seems to be fine. But prediction is a mess.

Epoch 1/10
55/55 [==============================] - 11s 92ms/step - loss: 0.3113 - accuracy: 0.7719
Epoch 2/10
55/55 [==============================] - 5s 93ms/step - loss: 0.2998 - accuracy: 0.7761
Epoch 3/10
55/55 [==============================] - 5s 92ms/step - loss: 0.3009 - accuracy: 0.7777
Epoch 4/10
55/55 [==============================] - 5s 92ms/step - loss: 0.2837 - accuracy: 0.7805
Epoch 5/10
55/55 [==============================] - 5s 92ms/step - loss: 0.2711 - accuracy: 0.7816
Epoch 6/10
55/55 [==============================] - 5s 93ms/step - loss: 0.2579 - accuracy: 0.7840
Epoch 7/10
55/55 [==============================] - 5s 92ms/step - loss: 0.2515 - accuracy: 0.7849
Epoch 8/10
55/55 [==============================] - 5s 92ms/step - loss: 0.2437 - accuracy: 0.7861
Epoch 9/10
55/55 [==============================] - 5s 92ms/step - loss: 0.2367 - accuracy: 0.7864
Epoch 10/10
55/55 [==============================] - 5s 92ms/step - loss: 0.2541 - accuracy: 0.7816

Even using a snippet from training set as input (“Abhishek Jha Application Development Associate - Accenture Bengaluru, Karnataka”), following is the
prediction outputs. I am not sure if it is me changed things in the code cause
I remember the prediction worked before.
So generally , I think I need some guidance in such situation cause I feel like
there is not much I can do to debug the issue.

[[0 3 3 3 3 3 3 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3

  • 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 3 3 3 3 3 3 0 0 0 0 0 0 0 0 0 0 0*
  • 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 3 3 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0*
  • 0 0 0 3 3 3 3 3 3 0 0 0 0 0 0 0 0 0 0 0 3 0 0 3 3 3 3 0 0 0 0 0 3 0 0 0*
  • 0 0 0 0 0 3 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 3 3*
  • 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 3 3 3*
  • 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0*
  • 3 0 3 3 3 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0*
  • 0 0 0 0 0 0 3 3 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0*
  • 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 3 3 3 3 0 0 0 0 0 0 0 0 0 0 0*
  • 0 0 0 0 0 0 0 0 0 3 3 3 3 3 3 3 0 0 0 0 0 0 0 3 3 3 3 3 0 3 3 3 3 3 3 3*
  • 3 3 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 3 3 3 3 3 3 3 3 3 3 0 0 0 0*
  • 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 3 0 3 3 3 3 0 3 3 0 0 0*
  • 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0*
  • 0 0 0 0 0 0 0 0]]*
2

Sorry, I don’t recognize which assignment you’re working on.

Can you verify the name of the specialization, which course, and which week and assignment, and give the notebook name?

3

HI TMosh, it is the Deep learning sepcialization course 5 week 4 assigment 2 (Name Entity Recognition).

“and give the notebook name?”
I am not sure where it is.

4

DLS Course 5 Week 4 has only one assignment, and it’s for Transformers.
There is no C5 W4 A2 assignment.

There are some ungraded labs in Week 4 though. Are you asking about one of those?

5

yes, it is the second of the 3 ungraded labs.

6

Here is what I got when I ran the unmodified lab:

image
image822×666 19 KB

7

thanks for posting your result. Your result looks similar to mine. Guess the model needs to be improved to be able to deliver more accurate predictions.