Sentinel Coder Qlora

--- library_name: peft license: apache-2.0 base_model: Qwen/Qwen2.5-Coder-1.5B-Instruct tags: - trl - sft - generated_from_trainer model-index: - name: sentinel-coder-qlora results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. --> # sentinel-coder-qlora This model is a fine-tuned version of [Qwen/Qwen2.5-Coder-1.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-Coder-1.5B-Instruct) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 0.1132 ## 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: 1 - eval_batch_size: 8 - seed: 42 - gradient_accumulation_steps: 8 - total_train_batch_size: 8 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: cosine - lr_scheduler_warmup_ratio: 0.05 - num_epochs: 3 - mixed_precision_training: Native AMP ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:------:|:----:|:---------------:| | 0.4273 | 0.7030 | 50 | 0.4052 | | 0.1574 | 1.4060 | 100 | 0.2152 | | 0.1124 | 2.1090 | 150 | 0.1263 | | 0.0864 | 2.8120 | 200 | 0.1132 | ### Framework versions - PEFT 0.12.0 - Transformers 4.44.2 - Pytorch 2.3.0 - Datasets 2.21.0 - Tokenizers 0.19.1

Source context: 4 downloads · 0 likes · Library peft · Repo ravindraog/sentinel-coder-qlora

Source context: 0 downloads · 0 likes · Library peft · Repo ravindraog/sentinel-coder-qlora