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roberta-base-finetuned-jd-binary-chinese

Text Classification Transformers PyTorch TensorFlow JAX Chinese bert Inference Endpoints

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uer commited on Feb 20, 2022

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@@ -48,8 +48,7 @@ python3 run_classifier.py --pretrained_model_path models/cluecorpussmall_roberta
                           --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 --batch_size 32 --epochs_num 3 --seq_length 512 \
-                          --embedding word_pos_seg --encoder transformer --mask fully_visible
 ```
 Finally, we convert the pre-trained model into Huggingface's format:

                           --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: