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export HF_PROJECT="t5-small-24L-dutch-english"
export DATASET="yhavinga/mc4_nl_cleaned" # Name of the dataset in the Huggingface Hub
export DATASET_CONFIG="large_en_nl" # Config of the dataset in the Huggingface Hub
export DATASET_SPLIT="train" # Split to use for training tokenizer and model
export CONFIG_NAME="../config/config-small-24L.json"
export TOKENIZER_NAME="yhavinga/net5-v1.1-base-cased-500"
export MODEL_PATH="${HOME}/data/${HF_PROJECT}" # Path to the model
python3 ../train/run_t5_mlm_flax_pmap.py \
--output_dir="${MODEL_PATH}" \
--model_type="t5" \
--config_name="${CONFIG_NAME}" \
--tokenizer_name="${TOKENIZER_NAME}" \
--auth_token="$(cat ~/.huggingface/token)" \
--preprocessing_num_workers="96" \
--do_train --do_eval \
--dataset_name="${DATASET}" \
--dataset_config_name="${DATASET_CONFIG}" \
--max_seq_length="512" \
--per_device_train_batch_size="16" \
--per_device_eval_batch_size="32" \
--dtype="float32" \
--optim="adafactor" \
--learning_rate="0.005" \
--lr_decay="linear" \
--overwrite_output_dir \
--num_train_epochs="1" \
--logging_steps="100" \
--save_steps="5000" \
--eval_steps="5000" \
--warmup_steps="20000" \
--validation_split_count="15000" \
--wandb_project="t5-small-24L-dutch-english" \
--wandb_job_type="pmap"
# \
# --resume_from_checkpoint="${MODEL_PATH}"
# --lr_decay="exponential" \
# --lr_transition_steps="200000" \
# --lr_decay_rate="0.7" \
# --lr_staircase="false" \
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