--- license: bigcode-openrail-m base_model: bigcode/starcoder tags: - generated_from_trainer model-index: - name: starcoder-finetuned-test_newSnippet results: [] library_name: peft --- # starcoder-finetuned-test_newSnippet This model is a fine-tuned version of [bigcode/starcoder](https://huggingface.co/bigcode/starcoder) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 0.1728 ## 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: 8e-05 - train_batch_size: 32 - eval_batch_size: 32 - seed: 42 - gradient_accumulation_steps: 8 - total_train_batch_size: 256 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: cosine - lr_scheduler_warmup_steps: 80 - training_steps: 800 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:----:|:---------------:| | 4.5787 | 0.06 | 50 | 0.3535 | | 0.236 | 0.12 | 100 | 0.1948 | | 0.1862 | 1.01 | 150 | 0.1847 | | 0.1866 | 1.07 | 200 | 0.1808 | | 0.1838 | 1.13 | 250 | 0.1794 | | 0.1718 | 2.02 | 300 | 0.1772 | | 0.1796 | 2.08 | 350 | 0.1761 | | 0.178 | 2.14 | 400 | 0.1762 | | 0.1666 | 3.03 | 450 | 0.1743 | | 0.1772 | 3.09 | 500 | 0.1739 | | 0.1739 | 3.15 | 550 | 0.1746 | | 0.1652 | 4.04 | 600 | 0.1731 | | 0.1755 | 4.1 | 650 | 0.1731 | | 0.1706 | 4.16 | 700 | 0.1735 | | 0.1668 | 5.04 | 750 | 0.1728 | | 0.1747 | 5.11 | 800 | 0.1728 | ### Framework versions - PEFT 0.5.0.dev0 - PEFT 0.5.0.dev0 - Transformers 4.32.0.dev0 - Pytorch 2.0.1+cu117 - Datasets 2.12.0 - Tokenizers 0.13.3