stanford-tensorflow-tutorials
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chiphuyen
Bot responses degrading with iteration
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
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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 `
as i see you need to train more .. loss need to be belov 1.0 kinda 0.2 .. 0.03
Hi, How long does it take for training to have loss below 1.0 like 0.03?
