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roberta-base-finetuned-ifeng-chinese

Text Classification Transformers PyTorch TensorFlow JAX Chinese bert Inference Endpoints

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uer commited on Oct 17, 2023

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@@ -45,12 +45,12 @@ Models are fine-tuned by [UER-py](https://github.com/dbiir/UER-py/) on [Tencent
 Taking the case of roberta-base-finetuned-chinanews-chinese
 ```
-python3 run_classifier.py --pretrained_model_path models/cluecorpussmall_roberta_base_seq512_model.bin-250000 \
-                          --vocab_path models/google_zh_vocab.txt \
-                          --train_path datasets/glyph/chinanews/train.tsv \
-                          --dev_path datasets/glyph/chinanews/dev.tsv \
-                          --output_model_path models/chinanews_classifier_model.bin \
-                          --learning_rate 3e-5 --epochs_num 3 --batch_size 32 --seq_length 512
 ```
 Finally, we convert the pre-trained model into Huggingface's format:

 Taking the case of roberta-base-finetuned-chinanews-chinese
 ```
+python3 finetune/run_classifier.py --pretrained_model_path models/cluecorpussmall_roberta_base_seq512_model.bin-250000 \
+                                   --vocab_path models/google_zh_vocab.txt \
+                                   --train_path datasets/glyph/chinanews/train.tsv \
+                                   --dev_path datasets/glyph/chinanews/dev.tsv \
+                                   --output_model_path models/chinanews_classifier_model.bin \
+                                   --learning_rate 3e-5 --epochs_num 3 --batch_size 32 --seq_length 512
 ```
 Finally, we convert the pre-trained model into Huggingface's format: