run.sh

#!/bin/bash
export CUDA_VISIBLE_DEVICES=1

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

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

mkdir -p "${OUTPUT}"

python ./run_summarization_flax.py \
    --model_name_or_path "${MODEL}" \
    --learning_rate "5e-4" \
    --warmup_steps 500 \
    --do_train \
    --train_file "${TRAIN}" \
    --validation_file "${VAL}" \
    --test_file "${TEST}" \
    --max_train_samples 640000 \
    --max_eval_samples 512 \
    --max_predict_samples 64 \
    --text_column "complete_text" \
    --summary_column "summary_text" \
    --source_prefix "summarize: " \
    --max_source_length 1024 \
    --max_target_length 142 \
    --output_dir "${OUTPUT}" \
    --per_device_train_batch_size=8 \
    --per_device_eval_batch_size=2 \
    --overwrite_output_dir \
    --num_train_epochs="1" \
    --logging_steps="50" \
    --save_steps="2000" \
    --eval_steps="25000000" \
    --num_beams 4

#     \
#    --do_predict
#    --do_eval \


#     \
#    --prediction_debug \
#    --predict_with_generate




#    --source_prefix "summarize: " \

#      --lr_scheduler_type="constant" \

#    --task "summarization" \
#      --early_stopping "true" \
#      --length_penalty "2.0" \
#      --max_length 300 \
#      --min_length 75 \
#      --no_repeat_ngram_size 3 \
#      --num_beams 4 \
#      --prefix "summarize: " \