| --- |
| license: bigcode-openrail-m |
| library_name: peft |
| tags: |
| - generated_from_trainer |
| base_model: bigcode/starcoder2-3b |
| model-index: |
| - name: starcoder2-3b-peft-lora |
| results: [] |
| --- |
| |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| should probably proofread and complete it, then remove this comment. --> |
|
|
| [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/hvl-ml/huggingface/runs/71217l2g) |
| # starcoder2-3b-peft-lora |
|
|
| This model is a fine-tuned version of [bigcode/starcoder2-3b](https://huggingface.co/bigcode/starcoder2-3b) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.7576 |
|
|
| ## Model description |
|
|
| More information needed |
|
|
| ## Intended uses & limitations |
|
|
| More information needed |
|
|
| ## Training and evaluation data |
|
|
| More information needed |
|
|
| ## Training procedure |
|
|
| ### Training hyperparameters |
|
|
| The following hyperparameters were used during training: |
| - learning_rate: 0.0005 |
| - train_batch_size: 16 |
| - eval_batch_size: 16 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: cosine |
| - lr_scheduler_warmup_steps: 30 |
| - training_steps: 2000 |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:-----:|:----:|:---------------:| |
| | 0.5348 | 0.05 | 100 | 0.9196 | |
| | 0.8854 | 0.1 | 200 | 0.8079 | |
| | 0.6684 | 0.15 | 300 | 0.7977 | |
| | 0.7444 | 0.2 | 400 | 0.7962 | |
| | 0.2232 | 0.25 | 500 | 0.8324 | |
| | 0.4756 | 0.3 | 600 | 0.7965 | |
| | 0.4507 | 0.35 | 700 | 0.7983 | |
| | 0.747 | 0.4 | 800 | 0.7863 | |
| | 0.4285 | 0.45 | 900 | 0.7854 | |
| | 0.3905 | 0.5 | 1000 | 0.8041 | |
| | 0.7737 | 0.55 | 1100 | 0.7641 | |
| | 0.5301 | 0.6 | 1200 | 0.7599 | |
| | 0.6514 | 0.65 | 1300 | 0.7561 | |
| | 0.1931 | 0.7 | 1400 | 0.7659 | |
| | 0.4201 | 0.75 | 1500 | 0.7567 | |
| | 0.4191 | 0.8 | 1600 | 0.7566 | |
| | 0.6998 | 0.85 | 1700 | 0.7530 | |
| | 0.4025 | 0.9 | 1800 | 0.7528 | |
| | 0.3656 | 0.95 | 1900 | 0.7605 | |
| | 0.6816 | 1.0 | 2000 | 0.7576 | |
| |
| |
| ### Framework versions |
| |
| - PEFT 0.10.1.dev0 |
| - Transformers 4.41.0.dev0 |
| - Pytorch 2.3.0 |
| - Datasets 2.19.0 |
| - Tokenizers 0.19.1 |
