#!/bin/sh
python -m train \
	--save_checkpoints_every 10 \
    --experiment_name "wlasl" \
    --epochs 300 \
	--optimizer "ADAM" \
	--lr 0.0001 \
    --batch_size 16 \
	--dataset_name "WLASL" \
	--training_set_path "WLASL100_train.csv" \
	--validation_set_path "WLASL100_val.csv" \
	--vector_length 32 \
	--epoch_iters -1 \
	--scheduler_factor 0.2 \
	--hard_triplet_mining "None" \
	--filter_easy_triplets \
	--triplet_loss_margin 2 \
	--dropout 0.2 \
    --tracker=clearml \
    --dataset_loader=clearml \
	--dataset_project="SpoterEmbedding"