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gpt-neo-1.3B-dutch

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gpt-neo-1.3B-dutch / run_gpt_neo.sh

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	#!/bin/bash

	export HF_PROJECT="gpt-neo-1.3B-dutch"

	# Variables for training the tokenizer and creating the config
	export VOCAB_SIZE="50257"
	export DATASET="yhavinga/mc4_nl_cleaned" # Name of the dataset in the Huggingface Hub
	export DATASET_CONFIG="large" # Config of the dataset in the Huggingface Hub
	export DATASET_SPLIT="train" # Split to use for training tokenizer and model
	export TEXT_FIELD="text" # Field containing the text to be used for training
	export CONFIG_TYPE="EleutherAI/gpt-neo-1.3B" # Config that our model will use
	export MODEL_PATH="${HOME}/data/${HF_PROJECT}" # Path to the model, e.g. here inside the mount


	python run_clm_flax.py \
	--output_dir="${MODEL_PATH}" \
	--model_type="gpt_neo" \
	--config_name="${MODEL_PATH}" \
	--model_name_or_path="${MODEL_PATH}" \
	--tokenizer_name="${MODEL_PATH}" \
	--preprocessing_num_workers="96" \
	--do_train --do_eval \
	--dataset_name="${DATASET}" \
	--dataset_config_name="${DATASET_CONFIG}" \
	--block_size="512" \
	--per_device_train_batch_size="2" \
	--per_device_eval_batch_size="2" \
	--learning_rate="0.0005" \
	--warmup_steps="5000" \
	--adafactor \
	--overwrite_output_dir \
	--num_train_epochs="1" \
	--logging_steps="500" \
	--save_steps="20000" \
	--eval_steps="5000"

	# \
	# --push_to_hub
	# --adam_beta1="0.9" --adam_beta2="0.98" --weight_decay="0.01" \
	# --learning_rate="0.0005" --warmup_steps="5000" \