roberta-adapter-fine-tuning

Fine-tuning a RoBERTa model for sentiment analysis on the IMDB movie reviews dataset using the Adapter method and PyTorch Transformers

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Ecosystems: PyTorch

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🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

This repository contains demos I made with the Transformers library by HuggingFace.

A comparison and discussion of different NLP methods for 5-class sentiment classification on the ...

🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.

This is the implementation of the paper AdaMix: Mixture-of-Adaptations for Parameter-efficient Mo...

Supplementary material for "Understanding Parameter-Efficient Finetuning of Large Language Models...

LLM (Large Language Model) FineTuning

Text-Klassifizierer Coding Challenge im Bereich Machine Learning

🐥A PyTorch implementation of OpenAI's finetuned transformer language model with a script to impor...

Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Ques...

A Unified Library for Parameter-Efficient and Modular Transfer Learning

BertViz: Visualize Attention in NLP Models (BERT, GPT2, BART, etc.)

IMDB Sentiment Analysis with BERT