初始化项目，由ModelHub XC社区提供模型

Model: yhavinga/gpt2-medium-dutch
Source: Original Platform

run_gpt.sh

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+#!/bin/bash
+
+export HF_PROJECT="gpt2-medium-dutch"
+
+# Variables for training the tokenizer and creating the config
+export VOCAB_SIZE="50257"
+export DATASET="/home/yeb/data/mc4_nl_cleaned/mc4_nl_cleaned.py" # Name of the dataset in the Huggingface Hub
+export DATASET_CONFIG="full" # 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="gpt2-medium" # 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="${MODEL_PATH}" \
+    --model_type="gpt2" \
+    --config_name="${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="16" \
+    --per_device_eval_batch_size="16" \
+    --learning_rate="0.0024" --warmup_steps="5000" \
+    --adam_beta1="0.9" --adam_beta2="0.98" --weight_decay="0.01" \
+    --overwrite_output_dir \
+    --num_train_epochs="1" \
+    --logging_steps="500" \
+    --save_steps="20001" \
+    --eval_steps="2500"
+    
+#     \
+#    --push_to_hub