--- license: apache-2.0 base_model: Ariffiq99/CRAB_COPA_KUCI_Albert_Base_finetuned tags: - generated_from_trainer metrics: - f1 model-index: - name: e_care_CRAB_COPA_KUCI_albert_base_finetuned results: [] --- # e_care_CRAB_COPA_KUCI_albert_base_finetuned This model is a fine-tuned version of [Ariffiq99/CRAB_COPA_KUCI_Albert_Base_finetuned](https://huggingface.co/Ariffiq99/CRAB_COPA_KUCI_Albert_Base_finetuned) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 1.6372 - F1: 0.7130 ## 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: 7 ### Training results | Training Loss | Epoch | Step | Validation Loss | F1 | |:-------------:|:-----:|:----:|:---------------:|:------:| | 0.5799 | 1.0 | 933 | 0.5315 | 0.7196 | | 0.417 | 2.0 | 1866 | 0.5577 | 0.7205 | | 0.2391 | 3.0 | 2799 | 0.8563 | 0.7069 | | 0.083 | 4.0 | 3732 | 1.1708 | 0.7139 | | 0.0219 | 5.0 | 4665 | 1.4588 | 0.7158 | | 0.0044 | 6.0 | 5598 | 1.5879 | 0.7191 | | 0.0011 | 7.0 | 6531 | 1.6372 | 0.7130 | ### Framework versions - Transformers 4.41.2 - Pytorch 2.3.0+cu121 - Datasets 2.20.0 - Tokenizers 0.19.1