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I just can't fine tune BERT over 40% accuracy for text-classification task
April 6, 2024, 7:47 a.m. | /u/Total-Opposite-8396
Natural Language Processing www.reddit.com
I'm using BERT from transformers library to load and train the model and peft for LoRA implementation. My data set contains English written summaries of news articles and with each article there is a label such as Economics, Politics, Science, Entertainment, etc... (14 unique labels). The maximum length of summaries can extend up to 250-300 tokens. …
accuracy bert classification data data set english implementation languagetechnology library llm lora peft set text train transformers
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