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THUCNews task

THUCNews is a dataset for document classification task.

Dataset

The corpus can be find HERE
Download the corpus and save data at [THUCNews_DATA_PATH]

Train and Evaluate

Download ChineseBERT model and save at [CHINESEBERT_PATH].
THUCNews is a classification task with ten classes, so you have to modify [CHINESEBERT_PATH]/config.json file, and set "num_labels":10. Run the following scripts to train and evaluate.

python THUCNews_trainer.py \
  --bert_path [CHINESEBERT_PATH] \
  --data_dir [THUCNews_DATA_PATH] \
  --save_path [OUTPUT_PATH] \
  --max_epoch=5 \
  --lr=2e-5 \
  --batch_size=8 \
  --gpus=0,1,2,3

Result

The evaluation metric is Accuracy.
Result of our model and previous SOTAs are:

base model:

Model Dev Test
ERNIE 95.4 95.5
BERT 95.1 95.4
BERT-wwm 95.4 95.3
RoBERTa 95.0 95.6
MacBERT 95.2 95.6
ChineseBERT 95.6 95.7

large model:

Model Dev Test
RoBERTa 95.8 95.8
MacBERT 95.7 95.9
ChineseBERT 95.8 95.9