--- license: bigscience-bloom-rail-1.0 library_name: peft tags: - generated_from_trainer base_model: vlsp-2023-vllm/hoa-1b4 model-index: - name: fine_tune_demo_bloom1b4_20May_GPU3090 results: [] --- # fine_tune_demo_bloom1b4_20May_GPU3090 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: 2.0586 ## 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: 4 - eval_batch_size: 4 - 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 | |:-------------:|:-----:|:----:|:---------------:| | 2.1488 | 1.0 | 1826 | 2.1142 | | 2.0952 | 2.0 | 3652 | 2.0732 | | 2.0733 | 3.0 | 5478 | 2.0586 | ### Framework versions - PEFT 0.10.0 - Transformers 4.40.2 - Pytorch 1.13.0+cu117 - Datasets 2.19.1 - Tokenizers 0.19.1