--- license: bigcode-openrail-m base_model: bigcode/starcoder tags: - generated_from_trainer model-index: - name: starcoder-php2py-snippet1 results: [] library_name: peft --- # starcoder-php2py-snippet1 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: 0.2024 ## 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: 9e-05 - train_batch_size: 16 - eval_batch_size: 16 - seed: 42 - gradient_accumulation_steps: 5 - total_train_batch_size: 80 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: cosine - lr_scheduler_warmup_steps: 10 - training_steps: 100 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:----:|:---------------:| | 3.6678 | 0.25 | 25 | 0.4089 | | 0.277 | 0.5 | 50 | 0.2208 | | 0.2063 | 0.75 | 75 | 0.2040 | | 0.2039 | 1.0 | 100 | 0.2024 | ### 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