我有一个JSON格式的数据集,其中包含问题,选项,类别和正确答案。我想在这个数据集上训练GPT-2模型,但我得到了一个错误。
我得到以下错误:“ImportError:cannot import name 'Dataset' from 'transformers'”
我写了下面的代码:
import json
import random
from transformers import GPT2LMHeadModel, Dataset
def convert_json_to_text(json_data):
text = ''
for question_and_answers in json_data:
random.shuffle(question_and_answers['answers'])
text += f"{question_and_answers['category']}: {question_and_answers['question']}\n"
for option in question_and_answers['answers']:
text += f"- {option}\n"
text += f"Correct Answer: {question_and_answers['correct_answer']}\n\n"
return text
with open("questions.json", "r") as f:
json_data = json.load(f)
text = convert_json_to_text(json_data)
train_dataset = Dataset.from_text(text)
model = GPT2LMHeadModel.from_pretrained("gpt2")
model.train()
for epoch in range(10):
for batch in train_dataset:
loss = model(input_ids=batch['input_ids'], labels=batch['input_ids'])
loss.backward()
model.optimizer.step()
model.optimizer.zero_grad()
model.save_pretrained("gpt2_model.pt")
以下是示例数据集:
[
{
"question": "Q1. Which operator returns true if the two compared values are not equal?",
"category": "javascript",
"answers": [" <>", " ~", " ==!", " !=="],
"correct_answer": " !=="
},
{
"question": "Q2. How is a forEach statement different from a for statement?",
"category": "javascript",
"answers": [
" Only a for statement uses a callback function.",
" A for statement is generic, but a forEach statement can be used only with an array.",
" Only a forEach statement lets you specify your own iterator.",
" A forEach statement is generic, but a for statement can be used only with an array."
],
"correct_answer": " A for statement is generic, but a forEach statement can be used only with an array."
}
]
1条答案
按热度按时间a14dhokn1#
现在你的问题是你试图从Transformers库加载数据集,但数据集实际上是它自己的library。你使用的
.from_text
方法是针对文本文件的,我建议你浏览一下这个documentation,看看这些方法中的一个是否更适合你。向前看。