Accuracy Output Report

[Ayesha Khalid]

Hey Everyone,

I am training a speaker identifciation model based on kaldi/sre16/v2. After i train the neural network, this is my accuracy output report:

%Iter duration train_objective valid_objective difference
0 58.0 0 0 0
Total training time is 0:00:58

While this is what gets printed on the terminal:

024-03-25 12:31:00,775 [steps/nnet3/train_raw_dnn.py:391 - train - INFO ] Iter: 0/0   Jobs: 3   Epoch: 0.00/3.0 (0.0% complete)   lr: 0.000300   shrink: 0.99700
2024-03-25 12:31:58,941 [steps/nnet3/train_raw_dnn.py:443 - train - INFO ] Doing final combination to produce final.raw
2024-03-25 12:31:58,941 [steps/libs/nnet3/train/frame_level_objf/common.py:491 - combine_models - INFO ] Combining set([]) models.
2024-03-25 12:32:06,596 [steps/nnet3/train_raw_dnn.py:465 - train - INFO ] Cleaning up the experiment directory exp/xvector_nnet_1a
exp/xvector_nnet_1a: num-iters=1 nj=3..3 combine=-5.57->-5.57 (over 1) loglike:train/valid[0,0]=(-5.79,-5.79/-5.79,-5.79) accuracy:train/valid[0,0]=(0.0000,0.0000/0.0000,0.0000)

Could someone please point out where i might be making an error?

Thanks.