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Bot responses degrading with iteration #145

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GrayHat12 opened this issue May 20, 2019 · 2 comments
Open

Bot responses degrading with iteration #145

GrayHat12 opened this issue May 20, 2019 · 2 comments

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@GrayHat12
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GrayHat12 commented May 20, 2019

The more I'm training the bot ... The worse are the responses....

Check it out : -

HUMAN ++++ Hi

BOT ++++ dennings dennings dennings dennings dennings shed grocer grocer grocer grocer grocer grocer grocer grocer grocer grocer grocer grocer grocer

HUMAN ++++ Hey

BOT ++++ dennings dennings dennings dennings dennings dennings grocer grocer grocer grocer grocer grocer grocer grocer grocer grocer grocer grocer grocer

HUMAN ++++ What's your name?

BOT ++++ grocer grocer grocer grocer grocer grocer grocer grocer grocer grocer grocer grocer grocer grocer grocer grocer grocer grocer grocer

=============================================

<after 1500 iterations>

HUMAN ++++ Hi

BOT ++++ ?

HUMAN ++++ What is your name

BOT ++++ me .

HUMAN ++++ WHere are you from

BOT ++++ of the .

HUMAN ++++ Let's go

BOT ++++ you ' re going to do you do ?

=============================================

<after 7000 iterations>

HUMAN ++++ Hi

BOT ++++

HUMAN ++++ Hey

BOT ++++ .

HUMAN ++++ Hello

BOT ++++ .

HUMAN ++++ What are you doing?

BOT ++++ .

HUMAN ++++ What is your name

BOT ++++ .

HUMAN ++++ Speak

BOT ++++ .

HUMAN ++++ Tell me your name

BOT ++++ .

HUMAN ++++ Who am I

BOT ++++ .

HUMAN ++++ You

BOT ++++

HUMAN ++++ I

BOT ++++

HUMAN ++++ Am

BOT ++++

HUMAN ++++ WHats

BOT ++++

HUMAN ++++ Should i go

BOT ++++ .

=============================================

<after 8000 iterations>

HUMAN ++++ Hi

BOT ++++ ?

HUMAN ++++ Hello

BOT ++++ ?

HUMAN ++++ What is your name

BOT ++++ .

HUMAN ++++ Where are you from

BOT ++++ .

HUMAN ++++ Let's Go

BOT ++++ . . .

HUMAN ++++ Let us go

BOT ++++ .

=============================================

<8000 iterations>

HUMAN ++++ Hi

BOT ++++ .

HUMAN ++++ Hey

BOT ++++ .

HUMAN ++++ Hi

BOT ++++ .

HUMAN ++++ Let us go

BOT ++++ .

HUMAN ++++ Let me in

BOT ++++ .

HUMAN ++++ Tell me his name again

BOT ++++ .

HUMAN ++++ .

BOT ++++

HUMAN ++++ No dots plz

BOT ++++ .

HUMAN ++++ no dot

BOT ++++ .

HUMAN ++++ stop

BOT ++++ .

HUMAN ++++ idiot

BOT ++++ .

HUMAN ++++ clr

BOT ++++ .

HUMAN ++++ Gufdc

BOT ++++ .

HUMAN ++++ hoy

BOT ++++ .

=============================================

<9000 iterations

HUMAN ++++ You always been this selfish?

BOT ++++ .

HUMAN ++++ Hey dude... What have you been up to ?

BOT ++++ .

HUMAN ++++ Hello

BOT ++++ .

HUMAN ++++ Hi

BOT ++++ .

HUMAN ++++ gyfjgjxxjygkyfdyfykuhkudtufbkudgchjgkudt

BOT ++++ .

HUMAN ++++ drgfth

BOT ++++ .

HUMAN ++++ gfthfthgyjdesfgbdc

BOT ++++ .

HUMAN ++++ ggd rg gtfh

BOT ++++ .

HUMAN ++++ yjygvhrh ygmjvhgsdg

BOT ++++ .

HUMAN ++++ fth fhgyjvgrdgd h

BOT ++++ .

HUMAN ++++ fthfth

BOT ++++ .

HUMAN ++++ ft hyjujmfgrdsg

BOT ++++ .

HUMAN ++++ f

BOT ++++ .

=============================================

The attached image shows the current training progress
Annotation 2019-05-20 153224>

The config.py is as follows :

`DATA_PATH = 'cornell movie-dialogs corpus'
CONVO_FILE = 'movie_conversations.txt'
LINE_FILE = 'movie_lines.txt'
OUTPUT_FILE = 'output_convo.txt'
PROCESSED_PATH = 'processed'
CPT_PATH = 'checkpoints'

THRESHOLD = 2

PAD_ID = 0
UNK_ID = 1
START_ID = 2
EOS_ID = 3

TESTSET_SIZE = 25000

BUCKETS = [(19, 19), (28, 28), (33, 33), (40, 43), (50, 53), (60, 63)]
#BUCKETS = [(16, 19)]

CONTRACTIONS = [("i ' m ", "i 'm "), ("' d ", "'d "), ("' s ", "'s "),
("don ' t ", "do n't "), ("didn ' t ", "did n't "), ("doesn ' t ", "does n't "),
("can ' t ", "ca n't "), ("shouldn ' t ", "should n't "), ("wouldn ' t ", "would n't "),
("' ve ", "'ve "), ("' re ", "'re "), ("in ' ", "in' ")]

NUM_LAYERS = 3
HIDDEN_SIZE = 256
BATCH_SIZE = 64

LR = 0.5
MAX_GRAD_NORM = 5.0

NUM_SAMPLES = 512
ENC_VOCAB = 24360
DEC_VOCAB = 24686
`

@MartinAbilev
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as i see you need to train more .. loss need to be belov 1.0 kinda 0.2 .. 0.03

@NazaninSal
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Hi, How long does it take for training to have loss below 1.0 like 0.03?

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