--- license: bigcode-openrail-m library_name: peft tags: - generated_from_trainer base_model: bigcode/starcoderbase-3b model-index: - name: starcoderbase-finetuned-thestack results: [] --- # starcoderbase-finetuned-thestack This model is a fine-tuned version of [bigcode/starcoderbase-3b](https://huggingface.co/bigcode/starcoderbase-3b) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 0.9183 ## 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: 4 - eval_batch_size: 8 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 3.0 - mixed_precision_training: Native AMP ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:------:|:---------------:| | 0.8487 | 1.0 | 83729 | 0.9170 | | 0.8132 | 2.0 | 167458 | 0.9169 | | 0.788 | 3.0 | 251187 | 0.9183 | ### Framework versions - PEFT 0.10.0 - Transformers 4.38.1 - Pytorch 2.1.1+cu121 - Datasets 2.18.0 - Tokenizers 0.15.2