qwen2_5Coder1_5B-java-junit This model is a fine-tuned version of unsloth/qwen2.5-coder-1.5b-instruct-bnb-4bit 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: 0.0002 - train_batch_size: 8 - eval_batch_size: 8 - seed: 42 - gradient_accumulation_steps: 4 - total_train_batch_size: 32 - optimizer: Use OptimizerNames.ADAMW_TORCH 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: 200 - num_epochs: 3 ### Training results ### Framework versions - PEFT 0.19.1 - Transformers 5.5.0 - Pytorch 2.10.0+rocm7.2.4.git3d3aa833 - Datasets 4.3.0 - Tokenizers 0.22.2
