metadata
license: mit
datasets:
- imdb
widget:
- text: I like this movie. That sounds so good!
example_title: Positive
output:
- label: Positive
score: 0.99
- label: Negative
score: 0.01
- text: I don't like this. It smells disgusting.
output:
- label: Positive
score: 0.02
- label: Negative
score: 0.98
example_title: Negative
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：
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'
)