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Running
on
L4
Running
on
L4
File size: 600 Bytes
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# run from CLAP directory
python -m evaluate.eval_zeroshot_classification \
--dataset-type="webdataset" \
--precision="fp32" \
--batch-size=512 \
--workers=6 \
--amodel HTSAT-tiny \
--tmodel roberta \
--datasetnames "esc50_no_overlap" \
--remotedata \
--datasetinfos "train" \
--seed 3407 \
--logs ./logs \
--data-filling "repeatpad" \
--data-truncating "rand_trunc" \
--freeze-text \
--class-label-path="../class_labels/ESC50_class_labels_indices_space.json" \
--pretrained="/fsx/clap_logs/2023_02_18-00_03_45-model_HTSAT-tiny-lr_0.0001-b_96-j_6-p_fp32/checkpoints"
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