--- base_model: vlsp-2023-vllm/hoa-1b4 library_name: peft license: bigscience-bloom-rail-1.0 tags: - generated_from_trainer model-index: - name: wiki_lora_hoa1b4_3_epoch_with_question results: [] --- # wiki_lora_hoa1b4_3_epoch_with_question This model is a fine-tuned version of [vlsp-2023-vllm/hoa-1b4](https://huggingface.co/vlsp-2023-vllm/hoa-1b4) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 3.4653 ## 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: 2e-05 - train_batch_size: 8 - eval_batch_size: 8 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 3.0 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:----:|:---------------:| | No log | 1.0 | 8 | 3.4906 | | 3.5178 | 2.0 | 16 | 3.4720 | | 3.4665 | 3.0 | 24 | 3.4653 | ### Framework versions - PEFT 0.12.0 - Transformers 4.44.0 - Pytorch 2.4.0 - Datasets 2.21.0 - Tokenizers 0.19.1