--- license: apache-2.0 base_model: Ariffiq99/KUCI_e_care_Bert_Based_Uncased_Finetuned tags: - generated_from_trainer metrics: - f1 model-index: - name: COPA_KUCI_e_care_Bert_Base_Uncased_Finetuned results: [] --- # COPA_KUCI_e_care_Bert_Base_Uncased_Finetuned This model is a fine-tuned version of [Ariffiq99/KUCI_e_care_Bert_Based_Uncased_Finetuned](https://huggingface.co/Ariffiq99/KUCI_e_care_Bert_Based_Uncased_Finetuned) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 0.7119 - F1: 0.7627 ## 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: 1e-05 - train_batch_size: 16 - eval_batch_size: 16 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 10 ### Training results | Training Loss | Epoch | Step | Validation Loss | F1 | |:-------------:|:-----:|:----:|:---------------:|:------:| | No log | 1.0 | 63 | 0.5719 | 0.7010 | | No log | 2.0 | 126 | 0.5314 | 0.7371 | | No log | 3.0 | 189 | 0.5585 | 0.7346 | | No log | 4.0 | 252 | 0.5966 | 0.7511 | | No log | 5.0 | 315 | 0.6430 | 0.7368 | | No log | 6.0 | 378 | 0.6569 | 0.7537 | | No log | 7.0 | 441 | 0.6773 | 0.7615 | | 0.3278 | 8.0 | 504 | 0.6962 | 0.7569 | | 0.3278 | 9.0 | 567 | 0.7062 | 0.7637 | | 0.3278 | 10.0 | 630 | 0.7119 | 0.7627 | ### Framework versions - Transformers 4.41.2 - Pytorch 2.3.0+cu121 - Datasets 2.19.2 - Tokenizers 0.19.1