https://github.com/adrianmarino/t5-fine-tunning

T5 fine tunning for sentiment analysis
https://github.com/adrianmarino/t5-fine-tunning

llm python pytorch-lightning sentiment-classification t5-model

Last synced: 1 day ago
JSON representation

T5 fine tunning for sentiment analysis

• Host: GitHub
• URL: https://github.com/adrianmarino/t5-fine-tunning
• Owner: adrianmarino
• Created: 2023-11-15T13:38:35.000Z (about 1 year ago)
• Default Branch: master
• Last Pushed: 2023-11-18T12:54:35.000Z (about 1 year ago)
• Last Synced: 2023-11-18T13:40:22.936Z (about 1 year ago)
• Topics: llm, python, pytorch-lightning, sentiment-classification, t5-model
• Language: Jupyter Notebook
• Homepage:
• Size: 36.1 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

        
# t5-fine-tunning

T5 fine-tuning for sentiment analysis. It is very simple to adapt this model to other tasks such as recommendations, summaries, etc. See the paper for more details: [Exploring the Limits of Transfer Learning with a Unified

Text-to-Text Transformer](https://arxiv.org/pdf/1910.10683.pdf)

**Notebooks**

* [Sentiment_analisys: Prepare_dataset](https://github.com/adrianmarino/t5-fine-tunning/blob/master/notebooks/sentiment_analisys/1_prepare_dataset.ipynb)

* [Sentiment_analisys: Training an evaluation](https://github.com/adrianmarino/t5-fine-tunning/blob/master/notebooks/sentiment_analisys/2_sentiment_analisys.ipynb)

* [Recommender](https://github.com/adrianmarino/t5-fine-tunning/blob/master/notebooks/T5_recommender.ipynb)

## Referencies

* [Huggingface T5 documentation](https://huggingface.co/docs/transformers/v4.35.1/en/model_doc/t5#t5)

* [T5 Fine tunning](https://colab.research.google.com/github/patil-suraj/exploring-T5/blob/master/t5_fine_tuning.ipynb#scrollTo=SDVQ04fGRb1v)

* [Exploring the Limits of Transfer Learning with a UnifiedText-to-Text Transformer](https://arxiv.org/pdf/1910.10683.pdf)