--- license: other library_name: peft tags: - alignment-handbook - generated_from_trainer - trl - sft - generated_from_trainer datasets: - zhihu base_model: 01-ai/Yi-6B model-index: - name: Yi-6B-zhihu5 results: [] --- # Yi-6B-zhihu5 This model is a fine-tuned version of [01-ai/Yi-6B](https://huggingface.co/01-ai/Yi-6B) on the zhihu dataset. It achieves the following results on the evaluation set: - Loss: 2.5677 ## 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-06 - train_batch_size: 16 - eval_batch_size: 8 - 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: 20 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:----:|:---------------:| | 2.6816 | 1.0 | 96 | 2.6328 | | 2.6582 | 2.0 | 192 | 2.6169 | | 2.6676 | 3.0 | 288 | 2.5983 | | 2.6413 | 4.0 | 384 | 2.5891 | | 2.581 | 5.0 | 480 | 2.5825 | | 2.5884 | 6.0 | 576 | 2.5776 | | 2.704 | 7.0 | 672 | 2.5741 | | 2.608 | 8.0 | 768 | 2.5715 | | 2.5454 | 9.0 | 864 | 2.5698 | | 2.5938 | 10.0 | 960 | 2.5688 | | 2.6129 | 11.0 | 1056 | 2.5682 | | 2.6334 | 12.0 | 1152 | 2.5679 | | 2.5013 | 13.0 | 1248 | 2.5678 | | 2.519 | 14.0 | 1344 | 2.5677 | | 2.5076 | 15.0 | 1440 | 2.5677 | | 2.5443 | 16.0 | 1536 | 2.5677 | | 2.5972 | 17.0 | 1632 | 2.5677 | | 2.5361 | 18.0 | 1728 | 2.5677 | | 2.6119 | 19.0 | 1824 | 2.5677 | | 2.6321 | 20.0 | 1920 | 2.5677 | ### Framework versions - PEFT 0.7.1 - Transformers 4.36.2 - Pytorch 2.2.2+cu118 - Datasets 2.14.6 - Tokenizers 0.15.2