--- base_model: vinai/bartpho-word tags: - generated_from_trainer model-index: - name: results results: [] --- # results This model is a fine-tuned version of [vinai/bartpho-word](https://huggingface.co/vinai/bartpho-word) on the None dataset. It achieves the following results on the evaluation set: - Loss: 1.0423 ## 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: 16 - eval_batch_size: 16 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 1 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:------:|:----:|:---------------:| | 1.5971 | 0.0634 | 100 | 1.0645 | | 1.0654 | 0.1268 | 200 | 1.0526 | | 1.0594 | 0.1902 | 300 | 1.0474 | | 1.0548 | 0.2536 | 400 | 1.0448 | | 1.0489 | 0.3171 | 500 | 1.0423 | | 1.0333 | 0.3805 | 600 | 1.0416 | | 1.0436 | 0.4439 | 700 | 1.0468 | | 1.0037 | 0.5073 | 800 | 1.0841 | | 0.9715 | 0.5707 | 900 | 1.4914 | | 0.9784 | 0.6341 | 1000 | 1.4177 | | 0.9652 | 0.6975 | 1100 | 1.6000 | | 0.9476 | 0.7609 | 1200 | 1.5676 | | 0.9604 | 0.8244 | 1300 | 1.6288 | | 0.9493 | 0.8878 | 1400 | 1.6467 | | 0.9531 | 0.9512 | 1500 | 1.6205 | ### Framework versions - Transformers 4.41.2 - Pytorch 2.3.1+cu118 - Datasets 2.20.0 - Tokenizers 0.19.1