[x] Prepare the dataset as jsonl file from WordPress source code required for fine-tuning the GPT-4 mini model.
[x] Ensure the dataset is well-structured and representative of the tasks the model will perform.
Model Fine-Tuning:
[x] Fine-tune the GPT-4o mini model using the prepared dataset.
[x] Monitor the training process and adjust parameters as needed to optimize performance.
Performance Monitoring:
[x] Observe the training loss throughout the fine-tuning process.
Outcomes:
The training loss graph indicates a consistent decrease, showing that the model is effectively learning.
Attached is the training loss graph for detailed analysis.
2Jus2
commented
2 months ago
Data Preparation:
Model Fine-Tuning:
Performance Monitoring:
Outcomes: The training loss graph indicates a consistent decrease, showing that the model is effectively learning. Attached is the training loss graph for detailed analysis.
jsonl file looks like this: