--- license: cc-by-nc-sa-4.0 tags: - generated_from_trainer datasets: - klue metrics: - f1 model-index: - name: kogpt2-base-v2-finetuned-klue-ner results: - task: name: Token Classification type: token-classification dataset: name: klue type: klue config: ner split: validation args: ner metrics: - name: F1 type: f1 value: 0.37298165525403665 --- # kogpt2-base-v2-finetuned-klue-ner This model is a fine-tuned version of [skt/kogpt2-base-v2](https://huggingface.co/skt/kogpt2-base-v2) on the klue dataset. It achieves the following results on the evaluation set: - Loss: 0.4076 - F1: 0.3730 ## 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: 24 - eval_batch_size: 24 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 3 ### Training results | Training Loss | Epoch | Step | Validation Loss | F1 | |:-------------:|:-----:|:----:|:---------------:|:------:| | 0.6084 | 1.0 | 876 | 0.5353 | 0.2118 | | 0.3911 | 2.0 | 1752 | 0.4691 | 0.3041 | | 0.2855 | 3.0 | 2628 | 0.4076 | 0.3730 | ### Framework versions - Transformers 4.28.1 - Pytorch 2.0.0+cu118 - Datasets 2.12.0 - Tokenizers 0.13.3