--- license: mit library_name: peft tags: - generated_from_trainer base_model: microsoft/Phi-3-mini-128k-instruct model-index: - name: CodePhi-3-mini-128k-instruct-APPS results: [] datasets: - codeparrot/apps pipeline_tag: text-generation --- # CodePhi-3-mini-4k-instruct-APPS This model is a fine-tuned version of [microsoft/Phi-3-mini-128k-instruct](https://huggingface.co/microsoft/Phi-3-mini-128k-instruct) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 0.7651 ## 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: 5e-06 - 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: 100 - training_steps: 1200 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:------:|:----:|:---------------:| | 0.8306 | 0.0833 | 100 | 0.8445 | | 0.6325 | 0.1667 | 200 | 0.8164 | | 0.6696 | 0.25 | 300 | 0.7934 | | 0.643 | 0.3333 | 400 | 0.7815 | | 0.778 | 0.4167 | 500 | 0.7737 | | 0.7273 | 0.5 | 600 | 0.7696 | | 0.712 | 0.5833 | 700 | 0.7676 | | 0.6477 | 0.6667 | 800 | 0.7658 | | 0.6245 | 0.75 | 900 | 0.7652 | | 0.6959 | 0.8333 | 1000 | 0.7650 | | 0.7236 | 0.9167 | 1100 | 0.7650 | | 0.6774 | 1.0 | 1200 | 0.7651 | ### Framework versions - PEFT 0.11.0 - Transformers 4.40.2 - Pytorch 2.3.0+cu121 - Datasets 2.19.1 - Tokenizers 0.19.1