Help with implementing and fine-tuning BERT
$30-250 USD
Paid on delivery
I need help with implementing and training/fine-tuning BERT on a multi-class/multi-label text classification task using the HuggingFace library.
I have 3 datasets for sentiment analysis-like tasks where I've already done EDA, preprocessing, and reached F1 score of 73% with other models.
I just need someone who's experienced with BERT that can implement it correctly to get or exceed 75% F1 score.
I assume that the task won't take long especially if you already have a working code for the model already. Please include how long would the task take you to finish it in your proposal.
If you are busy or don't know the task well, please don't bid and waste my time to get yourself a negative review.
Project ID: #29921830
About the project
6 freelancers are bidding on average $173 for this job
---- Help with implementing and fine-tuning BERT ----- Hi. I am a data scientist. I am very familiar to Deep learning apis such as Tensorflow, TensorflowLite, TfLearn, keras, pytorch, and fastai, mxnet. I have a good More
Hello , I worked with many project that are related to bert and many other transformers architectures, I also worked for both binary classification and multi label classification(as your task) and for question answer More
professional in the understanding of machine learning techniques and algorithms Experience with common data science toolkits, Weka, NumPy, MatLab, etcExperience with data visualization tools, such as D3.js, GGplot, etc More
Hello, I have read your job posting and I am interested in the same. I have a B. Tech (Computer Science) and MBA from the very best universities in the country with an acceptance rate of 0.01% of the applicants. I ha More
I worked on Bert earlier and have knowledge about it's code including tokenizer. I will try to finish work asap.
