/TIL_2021

DSTA's AI hackathon

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TIL_2021

DSTA's AI hackathon

For the ASR (Speech),

  1. Challenge 2: 0.97997
  2. Challenge 4: 0.78637
  3. Challenge 6: 0.49887

ASR Challenges were done with huggingface's wav2vec2 model.

  1. Model trained from challenge 4 was NOT carried over to 6. (All models should be carried over)
  2. Training for challenge 4 was only based on data given for challenge 4. (ie. Not combined with challenge 2, all training data should be combined)
  3. Training for challenge 4's vocab is restricted to the given training labels. (Vocab should be based on combined training data labels)
  4. Training for challenge 6 was based on combined training data given for challenge 2+4+6. But is only trained on base wav2vec2 model. (Should be trained on challenge 4's model)
  5. CTCBeamSearchDecocder + Language Model was only used for challenge 2/4, NOT 6. (Should be using for all challenges, Beam Search takes 1-2 hours to generate labels)

Object Detection Challenges were done with CenterNet2's on Detectron2.

  1. Model trained in challenge 1 did not use reduce_lr. For optimal acc should train for 2x the time.
  2. Training Data for challenge 3/5 was NOT combined with 1/3.
  3. Training time for challenge 5 was probably 1/3 the time needed for optimal acc.