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---
language: zh
---
# Based on bert-base-chinese
基于bert-base-chinese在`message80W`数据集（垃圾邮件二分类）上做了5个epoch的fine-tune
```python
# evaluate
with torch.no_grad():
model.eval()
eval_steps = 0
pred_list = []
label_list = []
for i, batch in enumerate(tqdm(test_loader)):
input_ids, attention_mask, label = batch
logits = model(input_ids, attention_mask)
pred_list += (torch.argmax(logits, dim=-1))
label_list += label
eval_steps += 1
```
80W数据，shuffled，8：3分train eval
下面是eval结果
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