--- base_model: klue/roberta-base tags: - generated_from_trainer metrics: - accuracy model-index: - name: results results: [] --- # results This model is a fine-tuned version of [klue/roberta-base](https://huggingface.co/klue/roberta-base) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 0.4873 - Accuracy: 0.851 ## 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: 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: 1 ### Training results | Training Loss | Epoch | Step | Validation Loss | Accuracy | |:-------------:|:-----:|:----:|:---------------:|:--------:| | 0.5394 | 1.0 | 1250 | 0.5484 | 0.834 | ### Framework versions - Transformers 4.40.1 - Pytorch 2.4.0+cu121 - Datasets 2.19.0 - Tokenizers 0.19.1