I’m trying to fine tune Llama 3.1 manually (without using SFTTrainers) to combine it with my image classification model. I need to convert the output I get from the model training which is a bunch of logits to text to check if Llama learned to mention a few facts I have extracted from the image, if not then penalize it. without this, the model tries to only generate texts similar to the facts I give it.
Related topics
Topic | Replies | Views | Activity | |
---|---|---|---|---|
Finetuning llama for classification | 2 | 1092 | January 21, 2025 | |
SFTTrainer Class | 0 | 127 | October 11, 2023 | |
Fine tune Transformers for text generation | 11 | 12107 | July 27, 2023 | |
LLaMa3.1 8B Instruct Prompt Tuning for Text Classification doesn't improve test accuracy | 3 | 856 | October 1, 2024 | |
Training HF transformer models on custom (not text) data | 0 | 213 | May 26, 2023 |