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Copy pathrun_ablations.sh
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executable file
·47 lines (35 loc) · 2.72 KB
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#!/bin/bash
# Check if the dataset argument is provided
if [ -z "$1" ]; then
echo "Usage: $0 <dataset> <seed>"
exit 1
fi
# Assign the dataset argument to a variable
dataset=$1
seed=$2
# Define the array of sample sizes
n_samples=262144
echo "Evaluating on ${dataset} with ${n_samples} samples"
# Define additional parameters for house dataset
additional_params=""
# RQ 2: Generalization
sbatch slurm_job.sh --dataset $dataset --n-samples $n_samples --seed $seed --freeze-position-ids $additional_params
sbatch slurm_job.sh --dataset $dataset --n-samples $n_samples --seed $seed --cont --rce --mse --cls-method refeed --freeze-position-ids $additional_params
# RQ 3 How to align the latent space?
sbatch slurm_job.sh --dataset $dataset --n-samples $n_samples --seed $seed --cls-method refeed --freeze-position-ids $additional_params
sbatch slurm_job.sh --dataset $dataset --n-samples $n_samples --seed $seed --cont --cls-method refeed --freeze-position-ids $additional_params
sbatch slurm_job.sh --dataset $dataset --n-samples $n_samples --seed $seed --mse --cls-method refeed --freeze-position-ids $additional_params
sbatch slurm_job.sh --dataset $dataset --n-samples $n_samples --seed $seed --rce --cls-method refeed --freeze-position-ids $additional_params
#sbatch slurm_job.sh --dataset $dataset --n-samples $n_samples --seed $seed --cont --rce --cls-method refeed --freeze-position-ids $additional_params
#sbatch slurm_job.sh --dataset $dataset --n-samples $n_samples --seed $seed --cont --mse --cls-method refeed --freeze-position-ids $additional_params
#sbatch slurm_job.sh --dataset $dataset --n-samples $n_samples --seed $seed --rce --mse --cls-method refeed --freeze-position-ids $additional_params
# RQ 4 Implicit vs explicit vs iterative
sbatch slurm_job.sh --dataset $dataset --n-samples $n_samples --seed $seed --cont --rce --mse --cls-method none --freeze-position-ids $additional_params
# RQ 5 alignment frequency
sbatch slurm_job.sh --dataset $dataset --n-samples $n_samples --seed $seed --freeze-position-ids --cls-style init_and_final
sbatch slurm_job.sh --dataset $dataset --n-samples $n_samples --seed $seed --cont --rce --mse --cls-method refeed --freeze-position-ids --cls-style init_and_final
sbatch slurm_job.sh --dataset $dataset --n-samples $n_samples --seed $seed --freeze-position-ids --cls-style final_only
sbatch slurm_job.sh --dataset $dataset --n-samples $n_samples --seed $seed --cont --rce --mse --cls-method refeed --freeze-position-ids --cls-style final_only
echo "Evaluation jobs for dataset '$dataset' with $n_samples samples and seed $seed submitted."
# Appendix
sbatch slurm_job.sh --dataset $dataset --n-samples $n_samples --seed $seed --cont --rce --mse --cls-method refeed --freeze-position-ids $additional_params --two-step