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GitHub topics: distilbert-fine-tuning

SayamAlt/Mental-Health-Classification-using-fine-tuned-DistilBERT

Successfully established a multiclass text classification model by fine-tuning pretrained DistilBERT transformer model to classify several distinct types of mental health statuses such as anxiety, stress, personality disorder, etc. with an accuracy of 77%.

Language: Jupyter Notebook - Size: 2.07 MB - Last synced at: 7 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

SayamAlt/Luxury-Apparel-Product-Category-Classification-using-fine-tuned-DistilBERT

Successfully developed a multiclass text classification model by fine-tuning pretrained DistilBERT transformer model to classify various distinct types of luxury apparels into their respective categories i.e. pants, accessories, underwear, shoes, etc.

Language: Jupyter Notebook - Size: 3.7 MB - Last synced at: 7 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

unnamed-catalyst/Fine-Tuning-Transformers

Code for a comparative analysis of the performance of fine-tuned transformer models on climate change data. The transformer models used were BERT, DistilBERT and RoBERTa.

Language: Jupyter Notebook - Size: 229 KB - Last synced at: 3 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

abirmondal/multi-label-hate-speech-classification

In this project we have tried to do multi-label hate-speech classification in Bengali and Hindi language using fill-mask transformer models.

Language: Jupyter Notebook - Size: 2.12 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 3