--- license: cc-by-nc-sa-4.0 tags: - generated_from_keras_callback model-index: - name: madatnlp/sk-kogptv2-kormath-causal results: [] --- # madatnlp/sk-kogptv2-kormath-causal This model is a fine-tuned version of [skt/kogpt2-base-v2](https://huggingface.co/skt/kogpt2-base-v2) on an unknown dataset. It achieves the following results on the evaluation set: - Train Loss: 0.2604 - Validation Loss: 1.7970 - Epoch: 14 ## 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: - optimizer: {'name': 'Adam', 'learning_rate': 0.00094450003, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False} - training_precision: float32 ### Training results | Train Loss | Validation Loss | Epoch | |:----------:|:---------------:|:-----:| | 3.1786 | 2.0114 | 0 | | 1.7468 | 1.6093 | 1 | | 1.3809 | 1.3738 | 2 | | 1.1486 | 1.4108 | 3 | | 0.9985 | 1.3539 | 4 | | 0.8685 | 1.4534 | 5 | | 0.7873 | 1.4854 | 6 | | 0.7021 | 1.5091 | 7 | | 0.6443 | 1.5531 | 8 | | 0.6021 | 1.6022 | 9 | | 0.5328 | 1.6028 | 10 | | 0.4563 | 1.4180 | 11 | | 0.3806 | 1.6496 | 12 | | 0.3180 | 1.8589 | 13 | | 0.2604 | 1.7970 | 14 | ### Framework versions - Transformers 4.19.1 - TensorFlow 2.8.0 - Datasets 2.2.1 - Tokenizers 0.12.1