--- license: other library_name: peft tags: - alignment-handbook - generated_from_trainer - trl - sft - generated_from_trainer datasets: - ruozhiba base_model: 01-ai/Yi-6B model-index: - name: Yi-6B-ruozhiba results: [] --- # Yi-6B-ruozhiba This model is a fine-tuned version of [01-ai/Yi-6B](https://huggingface.co/01-ai/Yi-6B) on the ruozhiba dataset. It achieves the following results on the evaluation set: - Loss: 1.9288 ## 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: 4 - eval_batch_size: 4 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: cosine - lr_scheduler_warmup_ratio: 0.1 - num_epochs: 5 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:----:|:---------------:| | 2.2958 | 1.0 | 55 | 1.9636 | | 1.8837 | 2.0 | 110 | 1.9193 | | 1.7174 | 3.0 | 165 | 1.9123 | | 1.6515 | 4.0 | 220 | 1.9246 | | 1.6337 | 5.0 | 275 | 1.9288 | ### Framework versions - PEFT 0.7.1 - Transformers 4.36.2 - Pytorch 2.2.2+cu118 - Datasets 2.14.6 - Tokenizers 0.15.2