Files
spoterembedding/train.sh
2023-04-07 09:44:12 +00:00

22 lines
596 B
Bash
Executable File

#!/bin/sh
python -m train \
--save_checkpoints_every 10 \
--experiment_name "augment_rotate_75_x8" \
--epochs 300 \
--optimizer "ADAM" \
--lr 0.001 \
--batch_size 16 \
--dataset_name "processed" \
--training_set_path "spoter_train.csv" \
--validation_set_path "spoter_test.csv" \
--vector_length 32 \
--epoch_iters -1 \
--scheduler_factor 0 \
--hard_triplet_mining "in_batch" \
--filter_easy_triplets \
--triplet_loss_margin 1 \
--dropout 0.2 \
--augmentations_prob=0.75 \
--hard_mining_scheduler_triplets_threshold=0 \
--normalize_embeddings \
--num_classes 100 \