run.sh

#!/bin/bash
export CUDA_VISIBLE_DEVICES="1"

MODEL="flax-community/t5-base-dutch"
OUTPUT="./output"

TRAIN="/home/yeb/Developer/data/cnnuxsum/cnnuxsum_train.json"
VAL="/home/yeb/Developer/data/cnnuxsum/cnnuxsum_val.json"
TEST="/home/yeb/Developer/data/cnnuxsum/cnnuxsum_test.json"

mkdir -p "${OUTPUT}"

python ./run_summarization_flax.py \
    --model_name_or_path "${MODEL}" \
    --learning_rate "5e-4" \
    --warmup_steps 500 \
    --do_train \
    --do_predict \
    --do_eval \
    --train_file "${TRAIN}" \
    --validation_file "${VAL}" \
    --test_file "${TEST}" \
    --max_train_samples 1366592 \
    --max_eval_samples 32 \
    --max_predict_samples 8 \
    --text_column "complete_text" \
    --summary_column "summary_text" \
    --max_source_length 1024 \
    --max_target_length 142 \
    --output_dir "${OUTPUT}" \
    --per_device_train_batch_size=8 \
    --per_device_eval_batch_size=8 \
    --overwrite_output_dir \
    --num_train_epochs="1" \
    --logging_steps="100" \
    --save_steps="20000" \
    --eval_steps="5000" \
    --num_beams 4 \
    --prediction_debug \
    --predict_with_generate

#    --source_prefix "summarize: " \