--- license: bigcode-openrail-m base_model: bigcode/starcoder tags: - generated_from_trainer model-index: - name: starcoder-tune-cpp2py-program1 results: [] library_name: peft --- # starcoder-tune-cpp2py-program1 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: 0.2677 ## 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: 2e-05 - train_batch_size: 1 - eval_batch_size: 1 - seed: 42 - gradient_accumulation_steps: 16 - total_train_batch_size: 16 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: cosine - lr_scheduler_warmup_steps: 50 - training_steps: 500 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:----:|:---------------:| | 0.3164 | 0.1 | 50 | 0.2789 | | 0.299 | 0.2 | 100 | 0.2729 | | 0.3001 | 0.3 | 150 | 0.2711 | | 0.2902 | 0.4 | 200 | 0.2699 | | 0.2892 | 0.5 | 250 | 0.2692 | | 0.2936 | 0.6 | 300 | 0.2686 | | 0.2872 | 0.7 | 350 | 0.2680 | | 0.2872 | 0.8 | 400 | 0.2678 | | 0.2913 | 0.9 | 450 | 0.2677 | | 0.2848 | 1.0 | 500 | 0.2677 | ### Framework versions - PEFT 0.5.0.dev0 - PEFT 0.5.0.dev0 - PEFT 0.5.0.dev0 - PEFT 0.5.0.dev0 - PEFT 0.5.0.dev0 - PEFT 0.5.0.dev0 - PEFT 0.5.0.dev0 - PEFT 0.5.0.dev0 - 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