--- license: apache-2.0 base_model: monologg/koelectra-base-v3-discriminator tags: - generated_from_trainer metrics: - precision - recall - f1 model-index: - name: koelectra-base-v3-discriminator-KEmoFact-EFE-0927 results: [] --- # koelectra-base-v3-discriminator-KEmoFact-EFE-0927 This model is a fine-tuned version of [monologg/koelectra-base-v3-discriminator](https://huggingface.co/monologg/koelectra-base-v3-discriminator) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 0.5635 - Precision: 0.3754 - Recall: 0.4417 - F1: 0.4058 - Ov Accuracy: 0.8248 - Jaccard: 0.7349 ## 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: 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 | Precision | Recall | F1 | Ov Accuracy | Jaccard | |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:-----------:|:-------:| | No log | 1.0 | 414 | 0.4083 | 0.3175 | 0.3909 | 0.3504 | 0.8258 | 0.6953 | | 0.4405 | 2.0 | 828 | 0.4039 | 0.3208 | 0.4078 | 0.3591 | 0.8256 | 0.7080 | | 0.3005 | 3.0 | 1242 | 0.4682 | 0.3448 | 0.4123 | 0.3755 | 0.8251 | 0.7108 | | 0.207 | 4.0 | 1656 | 0.5329 | 0.3451 | 0.4218 | 0.3797 | 0.8207 | 0.7076 | | 0.1468 | 5.0 | 2070 | 0.5888 | 0.3456 | 0.4235 | 0.3806 | 0.8182 | 0.7093 | ### Framework versions - Transformers 4.33.2 - Pytorch 2.0.1+cu118 - Datasets 2.14.5 - Tokenizers 0.13.3