对bert-base-uncased模型进行微调的情感分析，数据集采用IMDB。

具体参数如下：
```python
training_args = TrainingArguments(
    output_dir='./results/trainer',
    num_train_epochs=3,
    per_device_train_batch_size=8,
    per_device_eval_batch_size=8,
    warmup_steps=500,
    weight_decay=0.01,
    logging_dir='./logs',
    logging_steps=10,
    load_best_model_at_end=True,
    save_strategy='epoch',
    evaluation_strategy='epoch'
)
```

代码仓库：https://github.com/zengchen233/sentiment-classfier
{"license": "mit", "tags": ["pytorch"], "datasets": ["imdb"]}
transformers safetensors bert text-classification pytorch dataset:imdb license:mit autotrain_compatible endpoints_compatible region:us