--- license: bigcode-openrail-m tags: - generated_from_trainer model-index: - name: santacoder-finetuned-the-stack-bash results: [] --- # santacoder-finetuned-the-stack-bash This model is a fine-tuned version of [bigcode/santacoder](https://huggingface.co/bigcode/santacoder) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 1.3174 ## 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-05 - train_batch_size: 1 - eval_batch_size: 1 - seed: 42 - gradient_accumulation_steps: 4 - total_train_batch_size: 4 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: cosine - lr_scheduler_warmup_steps: 100 - training_steps: 5000 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:----:|:---------------:| | 3.6951 | 0.1 | 500 | 1.8041 | | 1.69 | 0.2 | 1000 | 1.5214 | | 1.3821 | 0.3 | 1500 | 1.5855 | | 1.5861 | 0.4 | 2000 | 1.4657 | | 1.6196 | 0.5 | 2500 | 1.4089 | | 1.6839 | 0.6 | 3000 | 1.3801 | | 1.3929 | 0.7 | 3500 | 1.3493 | | 1.471 | 0.8 | 4000 | 1.3278 | | 1.3222 | 0.9 | 4500 | 1.3203 | | 1.4529 | 1.0 | 5000 | 1.3174 | ### Framework versions - Transformers 4.30.2 - Pytorch 2.0.1+cu118 - Datasets 2.13.1 - Tokenizers 0.13.3