【开源实习】技术公开课内容测试任务1 #116
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【开源实习】技术公开课内容测试任务1 #116
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如2.4和2.6版本下案例代码一致，建议整合成一个transformer.ipynb文件，在最开始注明案例和跑通的版本（如CANN、MindSpore、MindNLP等）配套关系 |
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任务
任务编号：IC6YQU
任务链接：【开源实习】技术公开课内容测试任务
实现内容：
一、测试了代码在文件创建时期的mindnlp+mindspore发行版本后可以跑通，即在mindspore=2.4.0下可以正确训练和推理，并达到和原始得分相近的效果。（参见transformer-ms24.ipynb）
测试得分：
原始得分：
从中可得，测试得分为46.92，原始得分为44.92，两者得分接近，精度达标；并且相比原始得分有所提高，效果更优。
二、测试了代码在MindSpore2.6.0以及MindSpore NLP套件0.4.0版本下同样可以正确训练和推理，并达到和原始得分相近的效果。（参见transformer-ms26.ipynb）
在mindspore2.6.0中，模型得分为46.19，和原始得分44.92接近，精度达标，且略有提升。