--- library_name: peft license: bigcode-openrail-m base_model: bigcode/starcoder2-7b tags: - trl - sft - generated_from_trainer model-index: - name: results results: [] --- # results This model is a fine-tuned version of [bigcode/starcoder2-7b](https://huggingface.co/bigcode/starcoder2-7b) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 0.8042 ## 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: 0.0002 - train_batch_size: 8 - eval_batch_size: 4 - seed: 42 - gradient_accumulation_steps: 12 - total_train_batch_size: 96 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - lr_scheduler_warmup_steps: 250 - num_epochs: 1 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:----:|:---------------:| | 0.8735 | 0.96 | 500 | 0.8042 | ### Framework versions - PEFT 0.13.2 - Transformers 4.45.1 - Pytorch 2.5.0+cu121 - Datasets 3.1.0 - Tokenizers 0.20.3