#!/bin/sh
python3 -m train \
	--save_checkpoints_every 10 \
    --experiment_name "Finetune Fingerspelling Signs" \
    --epochs 1000 \
	--optimizer "ADAM" \
	--lr 0.00001 \
    --batch_size 8 \
	--dataset_name "FingerSpelling" \
	--training_set_path "train.csv" \
	--validation_set_path "val.csv" \
	--vector_length 32 \
	--epoch_iters -1 \
	--scheduler_factor 0 \
	--hard_triplet_mining "in_batch" \
	--filter_easy_triplets \
	--start_mining_hard 50 \
	--triplet_loss_margin 4 \
	--dropout 0.2 \
    --tracker=clearml \
    --dataset_loader=clearml \
	--dataset_project="SpoterEmbedding" \
	--finetune \
	--checkpoint_path "checkpoints/checkpoint_embed_3835.pth"