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README.md

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@@ -74,13 +74,13 @@ Directly fine-tune the pre-trained model (span-level + integrated corpus) to the
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### Jointly Train
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Initialize the model with based on the pre-trained model (span-level + integrated corpus). Then, jointly train the model with the source and target target domain data.
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Initialize the model with based on the pre-trained model (span-level + integrated corpus). Then, jointly train the model with the source and target (politics) domain data.
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```console
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❱❱❱ python main.py --exp_name politics_jointly_train --exp_id 1 --num_tag 19 --conll --joint --ckpt politics_spanlevel_integrated/pytorch_model.bin --tgt_dm politics
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```
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### Pre-train then Fine-tune
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Initialize the model with based on the pre-trained model (span-level + integrated corpus). Then, pre-train the model on the source domain data before fine-tuning to the target domain data.
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Initialize the model with based on the pre-trained model (span-level + integrated corpus). Then, pre-train the model on the source domain data before fine-tuning to the target (politics) domain data.
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```console
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❱❱❱ python main.py --exp_name politics_pretrain_then_finetune --exp_id 1 --num_tag 19 --conll --ckpt politics_spanlevel_integrated/pytorch_model.bin --tgt_dm politics --batch_size 16
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```

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