| 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: 0.482472516075503 | |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You | |
| should probably proofread and complete it, then remove this comment. --> | |
| # 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: 0.4138 | |
| - F1: 0.4825 | |
| ## 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 | | |
| |:-------------:|:-----:|:----:|:---------------:|:------:| | |
| | 0.6174 | 1.0 | 876 | 0.5515 | 0.3334 | | |
| | 0.3878 | 2.0 | 1752 | 0.5132 | 0.3916 | | |
| | 0.2756 | 3.0 | 2628 | 0.4138 | 0.4825 | | |
| ### Framework versions | |
| - Transformers 4.28.1 | |
| - Pytorch 2.0.0+cu118 | |
| - Datasets 2.12.0 | |
| - Tokenizers 0.13.3 | |