Disham993 Electrical Classification Bert Base Hugging Face This model is fine tuned from answerdotai modernbert base for text classification tasks. the model was trained on the disham993 electricaldevicefeedbackbalanced dataset. training hyperparameters. [please add your training hyperparameters here]. The model was trained on the disham993 electricalner dataset, a gpt 4o mini generated dataset curated for the electrical engineering domain. this dataset includes diverse technical contexts, such as circuit design, testing, maintenance, installation, troubleshooting, or research.
Models Hugging Face We’re on a journey to advance and democratize artificial intelligence through open source and open science. This model is fine tuned from answerdotai modernbert large for token classification tasks, specifically named entity recognition (ner) in the electrical engineering domain. We’re on a journey to advance and democratize artificial intelligence through open source and open science. This repository focuses on automating text classification for electrical device feedback. we will use a synthetically generated electrical device feedback dataset for fine tuning bert family models, including the latest modernbert model.
Electrical Device Feedback Classifier A Hugging Face Space By Disham993 We’re on a journey to advance and democratize artificial intelligence through open source and open science. This repository focuses on automating text classification for electrical device feedback. we will use a synthetically generated electrical device feedback dataset for fine tuning bert family models, including the latest modernbert model. Using the dataset we have created disham993 electricalner which is available on the hugging face hub, we have fine tuned a series of bert models and modernbert for performing electrical engineering ner tasks. the model takes in technical text and extracts the keyword entities. The project incorporates state of the art models like modernbert, offers detailed evaluation metrics, and facilitates deployment via hugging face hub integration. In this paper, we introduce modernbert, bringing modern model optimizations to encoder only models and representing a major pareto improvement over older encoders. We then set up the model using the base modernbert architecture with a classification head and configured the training process with carefully chosen hyperparameters.
Electrical Engineering Ner App A Hugging Face Space By Disham993 Using the dataset we have created disham993 electricalner which is available on the hugging face hub, we have fine tuned a series of bert models and modernbert for performing electrical engineering ner tasks. the model takes in technical text and extracts the keyword entities. The project incorporates state of the art models like modernbert, offers detailed evaluation metrics, and facilitates deployment via hugging face hub integration. In this paper, we introduce modernbert, bringing modern model optimizations to encoder only models and representing a major pareto improvement over older encoders. We then set up the model using the base modernbert architecture with a classification head and configured the training process with carefully chosen hyperparameters.
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