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spoterembedding/train.sh
2023-04-17 15:52:19 +00:00

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#!/bin/sh
python3 -m train \
--save_checkpoints_every 10 \
--experiment_name "wlasl" \
--epochs 600 \
--optimizer "SGD" \
--lr 0.001 \
--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 "in_batch" \
--filter_easy_triplets \
--triplet_loss_margin 2 \
--dropout 0.2 \
--tracker=clearml \
--dataset_loader=clearml \
--dataset_project="SpoterEmbedding"