Pytorch version of VidLanKD: Improving Language Understanding viaVideo-Distilled Knowledge Transfer

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Deep LearningVidLanKD
Overview

VidLanKD

Implementation of VidLanKD: Improving Language Understanding via Video-Distilled Knowledge Transfer by Zineng Tang, Jaemin Cho, Hao Tan, Mohit Bansal.

Setup

# Create python environment (optional)
conda create -n vidlankd python=3.7

# Install python dependencies
pip install -r requirements.txt

To speed up the training, we use mixed precision with Apex.

git clone https://github.com/NVIDIA/apex
cd apex
pip install -v --no-cache-dir --global-option="--cpp_ext" --global-option="--cuda_ext" ./

Dataset Preparation

Text Dataset

We provide scripts to obtain datasets "wiki103" and "wiki".

Wiki103, a seleted subset of English Wikipedia.

bash data/wiki103/get_data_cased.bash

English Wikipedia. The scripts are modified from XLM.

bash data/wiki/get_data_cased.bash en

Video Dataset

Howto100m where you can download official captions and videos features.

Video Features Extraction Code

To be updated.

  • We extracted our 2D-level video features with ResNet152 from torchvision.
  • We extracted our 3D-level video features with 3D-RexNext.

Downstream tasks

GLUE dataset

Download dataset

python download_glue_data.py --data_dir data/glue --tasks all

Training

Teacher model pre-training

# bash scripts/small_vlm_howto100m.bash $GPUS #teacher_SNAP_PATH
bash scripts/small_vlm_howto100m.bash 0,1,2,3 howto100m_bert_small_vokenhinge
# bash scripts/base_vlm_howto100m.bash $GPUS #teacher_SNAP_PATH
bash scripts/base_vlm_howto100m.bash 0,1,2,3 howto100m_bert_base_vokenhinge

Knowledge transfer to student model

# bash scripts/small_vlm_wiki103.bash $GPUS #teacher_SNAP_PATH #student_SNAP_PATH
bash scripts/small_vlm_wiki103.bash 0,1,2,3 howto100m_bert_small_vokenhinge/checkpoint-epoch0019 wiki103_bert_small_vokenmmd
# bash scripts/base_vlm_wiki.bash $GPUS #teacher_SNAP_PATH #student_SNAP_PATH
bash scripts/base_vlm_wiki.bash 0,1,2,3 howto100m_bert_base_vokenhinge/checkpoint-epoch0019 wiki_bert_base_vokenmmd

Finetuning on GLUE tasks

# bash scripts/run_glue_at_epoch.bash $GPUS $NumTrainEpochs $SNAP_PATH                        
bash scripts/run_glue_at_epoch.bash 0,1,2,3 3 snap/vlm/wiki103_bert_small_vokenmmd/checkpoint-epoch0019

Acknowledgements

Part of the code is built based on vokenization, huggingface transformers, and facebook faiss.

Owner
Zineng Tang
Zineng Tang
GitHub Repository
Only valid pull requests will be allowed. Use python only and readme changes will not be accepted.

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