--- base_model: zake7749/gemma-2-2b-it-chinese-kyara-dpo library_name: peft license: gemma tags: - generated_from_trainer model-index: - name: adl-hw3-gemma-ch-1 results: [] --- # adl-hw3-gemma-ch-1 This model is a fine-tuned version of [zake7749/gemma-2-2b-it-chinese-kyara-dpo](https://huggingface.co/zake7749/gemma-2-2b-it-chinese-kyara-dpo) on the None dataset. It achieves the following results on the evaluation set: - Loss: 3.7677 ## 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: 0.0003 - train_batch_size: 8 - eval_batch_size: 8 - seed: 42 - gradient_accumulation_steps: 2 - total_train_batch_size: 16 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 6 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:----:|:---------------:| | 2.4381 | 0.64 | 200 | 2.2165 | | 1.9414 | 1.28 | 400 | 2.3546 | | 1.5135 | 1.92 | 600 | 2.3314 | | 0.7845 | 2.56 | 800 | 2.8106 | | 0.5724 | 3.2 | 1000 | 3.4573 | | 0.2391 | 3.84 | 1200 | 3.4574 | | 0.1169 | 4.48 | 1400 | 3.7176 | | 0.0685 | 5.12 | 1600 | 3.7769 | | 0.0195 | 5.76 | 1800 | 3.7677 | ### Framework versions - PEFT 0.13.2 - Transformers 4.45.1 - Pytorch 2.5.0+cu121 - Datasets 3.1.0 - Tokenizers 0.20.3