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generate_essay_persuade.sh
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generate_essay_persuade.sh
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#!/usr/bin/env bash
BASE_DIR="$( cd "$( dirname "${BASH_SOURCE[0]}" )" >/dev/null 2>&1 && pwd )"
TEMPERATURES=("0.0" "0.7")
MODELS=(
"openai/gpt-4o-mini-2024-07-18"
"openai/gpt-4o-2024-05-13"
"openai/gpt-4-turbo-2024-04-09"
"anthropic/claude-3-haiku"
"anthropic/claude-3.5-sonnet"
"anthropic/claude-3-opus"
"meta-llama/llama-3.1-8b-instruct"
"meta-llama/llama-3.1-70b-instruct"
"meta-llama/llama-3.1-405b-instruct"
"openai/o1-mini-2024-09-12"
"openai/o1-preview-2024-09-12"
"google/gemini-1.5-flash-002"
"google/gemini-1.5-pro-002"
)
MAX_OUTPUT_TOKENS=1500
MAX_PARALLEL_DEFAULT=20
MAX_PARALLEL_REDUCED=10
INPUT_FILE="${BASE_DIR}/data/prompts/essay_persuade.jsonl"
OUTPUT_DIR="${BASE_DIR}/data/results/"
BASE_SEED=0xC0FFEE
NUM_SEEDS=5
for model in ${MODELS[@]}; do
# Use provider-specific API for openai and google models
if [[ $model == openai/* ]]; then
api_choice="openai"
use_openai_arg="--use-openai"
use_google_arg=""
elif [[ $model == google/* ]]; then
api_choice="google"
use_openai_arg=""
use_google_arg="--use-google"
else
api_choice="openrouter"
use_openai_arg=""
use_google_arg=""
fi
# If $model starts with meta-llama, then reduce parallelism
if [[ $model == meta-llama/* ]] || [[ $model == google/* ]]; then
max_parallel=${MAX_PARALLEL_REDUCED}
else
max_parallel=${MAX_PARALLEL_DEFAULT}
fi
echo "# Model: ${model} (API: ${api_choice})"
for temperature in ${TEMPERATURES[@]}; do
# Special case for o1 models, because they only support temperature=1
if [[ $model == openai/o1* ]]; then
if [[ $temperature != "0.7" ]]; then
echo "Skipping temperature ${temperature} for ${model} because not supported"
continue
else
echo "Using temperature 1 instead of ${temperature} for ${model}"
temperature="1"
fi
fi
# Only use a single seed for temperature 0
if [[ $temperature == "0.0" ]]; then
seed_range=$(seq $BASE_SEED $BASE_SEED)
else
seed_range=$(seq $BASE_SEED $((BASE_SEED + NUM_SEEDS - 1)))
fi
python src/non_adversarial_reproduction/generate.py \
$use_openai_arg \
$use_google_arg \
--model "${model}" \
--data_path "${INPUT_FILE}" \
--temperature "${temperature}" \
--max_new_tokens "${MAX_OUTPUT_TOKENS}" \
--max-parallel-requests "${max_parallel}" \
--output_path "${OUTPUT_DIR}" \
--seeds $seed_range
done
echo
done