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@@ -48,8 +48,7 @@ python3 run_classifier.py --pretrained_model_path models/cluecorpussmall_roberta
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  --train_path datasets/glyph/chinanews/train.tsv \
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  --dev_path datasets/glyph/chinanews/dev.tsv \
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  --output_model_path models/chinanews_classifier_model.bin \
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- --learning_rate 3e-5 --batch_size 32 --epochs_num 3 --seq_length 512 \
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- --embedding word_pos_seg --encoder transformer --mask fully_visible
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  ```
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  Finally, we convert the pre-trained model into Huggingface's format:
 
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  --train_path datasets/glyph/chinanews/train.tsv \
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  --dev_path datasets/glyph/chinanews/dev.tsv \
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  --output_model_path models/chinanews_classifier_model.bin \
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+ --learning_rate 3e-5 --epochs_num 3 --batch_size 32 --seq_length 512
 
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  ```
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  Finally, we convert the pre-trained model into Huggingface's format: