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Update README.md

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@@ -43,10 +43,10 @@ python3 preprocess.py --corpus_path corpora/lyric.txt \
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  ```
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  python3 pretrain.py --dataset_path lyric_dataset.pt \
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- --pretrained_model_path models/cluecorpussmall_gpt2_seq512_model.bin-250000 \
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  --vocab_path models/google_zh_vocab.txt \
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- --output_model_path models/lyric_gpt2_base_model.bin \
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- --config_path models/bert_base_config.json \
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  --world_size 8 --gpu_ranks 0 1 2 3 4 5 6 7 \
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  --total_steps 100000 --save_checkpoint_steps 10000 --report_steps 5000 \
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  --learning_rate 5e-5 --batch_size 64 \
@@ -58,7 +58,7 @@ python3 pretrain.py --dataset_path lyric_dataset.pt \
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  Finally, we convert the pre-trained model into Huggingface's format:
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  ```
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- python3 scripts/convert_gpt2_from_uer_to_huggingface.py --input_model_path lyric_gpt2_base_model.bin-100000 \
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  --output_model_path pytorch_model.bin \
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  --layers_num 12
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  ```
 
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  ```
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  python3 pretrain.py --dataset_path lyric_dataset.pt \
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+ --pretrained_model_path models/cluecorpussmall_gpt2_seq1024_model.bin-250000 \
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  --vocab_path models/google_zh_vocab.txt \
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+ --output_model_path models/lyric_gpt2_model.bin \
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+ --config_path models/gpt2/config.json \
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  --world_size 8 --gpu_ranks 0 1 2 3 4 5 6 7 \
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  --total_steps 100000 --save_checkpoint_steps 10000 --report_steps 5000 \
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  --learning_rate 5e-5 --batch_size 64 \
 
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  Finally, we convert the pre-trained model into Huggingface's format:
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  ```
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+ python3 scripts/convert_gpt2_from_uer_to_huggingface.py --input_model_path lyric_gpt2_model.bin-100000 \
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  --output_model_path pytorch_model.bin \
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  --layers_num 12
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  ```