run_eval.sh

# From https://arxiv.org/pdf/1907.11692.pdf
./run_mlm_flax_eval.py \
    --model_name_or_path="flax-community/alberti-bert-base-multilingual-cased" \
    --output_dir="./" \
    --model_type="bert" \
    --config_name="./" \
    --validation_file="./pulpo_lines_val.json" \
    --train_file="./pulpo_lines_train.json" \
    --tokenizer_name="bert-base-multilingual-cased" \
    --max_seq_length="32" \
    --pad_to_max_length  \
    --per_device_train_batch_size="256" \
    --per_device_eval_batch_size="256" \
    --adam_beta1="0.9" \
    --adam_beta2="0.98" \
    --adam_epsilon="1e-6" \
    --learning_rate="1.25e-4" \
    --weight_decay="0.01" \
    --save_steps="1000" \
    --warmup_steps="10000" \
    --num_train_epochs="40" \
    --overwrite_output_dir \
    --eval_steps="1000" \
    --do_train="false" \
    --do_eval="true" \
    --preprocessing_num_workers="96" \
    --logging_steps="500" 2>&1 | tee run.log