--- library_name: transformers license: apache-2.0 base_model: beomi/kcbert-base tags: - Shin - 10class - multi_labels - generated_from_trainer model-index: - name: model_output results: [] --- <!-- 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. --> # model_output This model is a fine-tuned version of [beomi/kcbert-base](https://huggingface.co/beomi/kcbert-base) on the unsmile_data dataset. It achieves the following results on the evaluation set: - Loss: 0.1382 - Lrap: 0.8801 ## 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: 2e-05 - train_batch_size: 32 - eval_batch_size: 32 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 5 ### Training results | Training Loss | Epoch | Step | Validation Loss | Lrap | |:-------------:|:-----:|:----:|:---------------:|:------:| | No log | 1.0 | 469 | 0.1342 | 0.8665 | | 0.1913 | 2.0 | 938 | 0.1260 | 0.8703 | | 0.1051 | 3.0 | 1407 | 0.1237 | 0.8843 | | 0.0708 | 4.0 | 1876 | 0.1332 | 0.8799 | | 0.0481 | 5.0 | 2345 | 0.1382 | 0.8801 | ### Framework versions - Transformers 4.44.2 - Pytorch 2.4.1+cu121 - Datasets 3.0.1 - Tokenizers 0.19.1