| --- |
| base_model: deepseek-ai/deepseek-coder-1.3b-base |
| datasets: |
| - generator |
| library_name: peft |
| license: other |
| tags: |
| - trl |
| - sft |
| - generated_from_trainer |
| model-index: |
| - name: sft_small |
| 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/stojchets/huggingface/runs/sft_small) |
| # sft_small |
| |
| This model is a fine-tuned version of [deepseek-ai/deepseek-coder-1.3b-base](https://huggingface.co/deepseek-ai/deepseek-coder-1.3b-base) on the generator dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 3.9430 |
| |
| ## 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: 1.41e-05 |
| - train_batch_size: 1 |
| - eval_batch_size: 8 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - num_epochs: 1 |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:-----:|:----:|:---------------:| |
| | 4.437 | 0.1 | 1 | 3.9886 | |
| | 4.2418 | 0.2 | 2 | 3.9798 | |
| | 4.3555 | 0.3 | 3 | 3.9724 | |
| | 3.1845 | 0.4 | 4 | 3.9651 | |
| | 3.0337 | 0.5 | 5 | 3.9591 | |
| | 4.6927 | 0.6 | 6 | 3.9539 | |
| | 4.5557 | 0.7 | 7 | 3.9497 | |
| | 3.9312 | 0.8 | 8 | 3.9464 | |
| | 4.0857 | 0.9 | 9 | 3.9441 | |
| | 4.1279 | 1.0 | 10 | 3.9430 | |
| |
| |
| ### Framework versions |
| |
| - PEFT 0.10.0 |
| - Transformers 4.43.0.dev0 |
| - Pytorch 2.2.2+cu121 |
| - Datasets 2.19.2 |
| - Tokenizers 0.19.1 |
