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--- |
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license: cc-by-nc-4.0 |
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language: |
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- en |
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tags: |
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- text-generation |
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datasets: |
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- stanford_alpaca |
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pipeline_tag: text-generation |
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--- |
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<br><br> |
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<p align="center"> |
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<img src="https://github.com/jina-ai/finetuner/blob/main/docs/_static/finetuner-logo-ani.svg?raw=true" alt="Finetuner logo: Finetuner helps you to create experiments in order to improve embeddings on search tasks. It accompanies you to deliver the last mile of performance-tuning for neural search applications." width="150px"> |
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</p> |
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<p align="center"> |
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<b>LLM Generation models trained by Jina AI, Finetuner team.</b> |
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</p> |
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This repo contains the full weights (16bit) for Falcon-7b |
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fit on the [Code Alpaca](https://huggingface.co/datasets/sahil2801/CodeAlpaca-20k) dataset. |
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## Reproduction |
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This version of the weights was trained with the following hyperparameters: |
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- Epochs: 6 |
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- Batch size: 128 |
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- Micro batch size: 8 |
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- Learning rate: 3e-4 |
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- Lora _r_: 8 |
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- Lora target modules: query_key_value |
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You can reproduce using this repository: |
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https://github.com/jina-ai/jerboa |
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Make sure you install requirements and finetune using this command using the following command: |
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``` |
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python finetune.py \ |
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--base-model tiiuae/falcon-7b --lora-target-modules query_key_value \ |
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--data-path sahil2801/CodeAlpaca-20k --output-dir ./lora-alpaca-code \ |
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--batch-size 128 --micro-batch-size 8 --eval-limit 45 \ |
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--eval-file code_eval.jsonl --wandb-project jerboa --wandb-log-model \ |
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--wandb-watch gradients --num-epochs 6 |
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``` |
