Implement BERT model on lexicon dataset I have

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I have lexicon dataset of around 12000 words. Which has 3-4 sub categories.

What I want to do is train BERT model on my dataset. I would like to see confusion matrix and accuracy metrics to understand model performance.

After that, I want to test this model on some different records I will provide.

Machine Learning (ML) Deep Learning Linguagem Natural Python

ID do Projeto: #28423900

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HasnainKhan11

Hello sir, I am Hasnain Khan a professional Machine learning engineer working in the industry for the last 2 years. I read out your requirements and I am pretty sure that I can do the task with 100% satisfaction. Pleas Mais

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9 freelancers estão ofertando em média ₹2659 nesse trabalho

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Hello, I am an AI researcher with 2 years experience in deep learning field. My major fields are deep image processing, deep natural language processing, GAN and reinforcement learning. My experiences are image class Mais

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Rajat6905

Dear Client Warm Greetings, I have gone through your job posting. I have been Python Developer for 3+ years and have experience of Building Management, Distributed, Database Applications. with Machine Learning, Ensem Mais

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flaiti97

Hello brother, I am a deep learning professional with experience in NLP. I am very much familiar with BERT and other transformer based architectures. I code in PyTorch. I believe I can do your task. Let's talk so Mais

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shubhamittal6

hello, I would like to help you and be a part of this project. I am working as a data scientist for the last two years and I love my work so much. My hands-on expertise is in data cleaning, Natural language processing Mais

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sajjadtaghvaeifr

Hi, I hope you are doing fine. I have almost 10 years of experience in machine learning algorithms. I can implement various types of artificial intelligence algorithms including yours with Matlab, Python, JAVA and etc. Mais

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