Shrinking Embedding

Requirements

Create a new conda environment and execute setup.sh. Alternatively

pip install -r requirements.txt

Starting training and evaluation

It is advised to run experiments on a GPU otherwise training might take long. Use DEVICE cuda to turn on GPU support, default is cpu. Don't forget to specify CUDA_VISIBLE_DEVICES before python if you use cuda

nohup python -u run.py DEVICE cuda DATASET jf17k > logs/nohup_shrink_jf17k_200_new.out 2>&1 &

You should obtain the following results after training (see logging file at logs/nohup_shrink_jf17k_200_new.out)

Contact

Contact: xiongbo010@gmail.com