--- base_model: zake7749/gemma-2-2b-it-chinese-kyara-dpo library_name: peft license: gemma tags: - generated_from_trainer model-index: - name: adl-hw3-finetune-gemma-2-chinese-kyara-10 results: [] --- # adl-hw3-finetune-gemma-2-chinese-kyara-10 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: 2.3204 ## 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: 5e-05 - 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: 4 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:------:|:----:|:---------------:| | 2.4837 | 0.3556 | 200 | 2.2732 | | 2.2305 | 0.7111 | 400 | 2.1807 | | 2.1064 | 1.0667 | 600 | 2.1585 | | 1.8998 | 1.4222 | 800 | 2.1417 | | 1.9278 | 1.7778 | 1000 | 2.1226 | | 1.7739 | 2.1333 | 1200 | 2.1940 | | 1.5948 | 2.4889 | 1400 | 2.1968 | | 1.6098 | 2.8444 | 1600 | 2.1953 | | 1.5028 | 3.2 | 1800 | 2.3265 | | 1.3777 | 3.5556 | 2000 | 2.3321 | | 1.3716 | 3.9111 | 2200 | 2.3204 | ### Framework versions - PEFT 0.13.2 - Transformers 4.45.1 - Pytorch 2.5.0+cu121 - Datasets 3.1.0 - Tokenizers 0.20.3