B-Trindade/FineTuned-PaliGemma1

A PaliGemma implementation for improving model performance on lexically similar yet semantically divergent input using Winoground dataset, fine-tuning strategies and small modifications of the original proposed architecture.

0

stars

20

commits

Python

primary language

Jun 16, 2025

updated

README

FineTuned-PaliGemma1

A PaliGemma implementation for improving model performance on lexically similar yet semantically divergent input using Winoground dataset, fine-tuning strategies and small modifications of the original proposed architecture.

Similar repos

SeungyounShin/SPIN

Unofficial implementation of Self-Play Fine-Tuning Converts Weak Language Models to Strong Language…

7

Pruthwik/finetuning_and_inferencing_using_indictrans2_models

finetuning_and_inferencing_using_indictrans2_models

0

MTamon/WhisperFinetuning

For Whisper Fine-tuning by Original Data

0

nonci/cross_coherence_GPT2S

0

Many0therFunctions/MaskGCT-Text-To-Semantic-Finetune

This is not remotely close to a finished product, and does not intend to nor does this claim to be…

13

FarshadAmiri/Fine-Tuning-on-LlaMa2

3

muthuka/sample-llm-finetuning

0

s-nlp/skipclm

Official implementation of NAACL 2025 SRW paper "SkipCLM: Enhancing Crosslingual Alignment of…

0

Contributors

B-Trindade

20 commits

Languages

Python

58.2%

Jupyter Notebook

41.8%