--- library_name: peft license: bigcode-openrail-m base_model: bigcode/starcoderbase-1b tags: - base_model:adapter:bigcode/starcoderbase-1b - lora - transformers pipeline_tag: text-generation model-index: - name: ceescoder results: [] --- # ceescoder This model is a fine-tuned version of [bigcode/starcoderbase-1b](https://huggingface.co/bigcode/starcoderbase-1b) on an unknown dataset. ## 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: 0.005 - train_batch_size: 3 - eval_batch_size: 3 - seed: 42 - gradient_accumulation_steps: 3 - total_train_batch_size: 9 - optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments - lr_scheduler_type: cosine - lr_scheduler_warmup_steps: 30 - training_steps: 2000 ### Training results ### Framework versions - PEFT 0.18.1 - Transformers 5.3.0 - Pytorch 2.10.0 - Datasets 4.6.1 - Tokenizers 0.22.2