--- license: apache-2.0 base_model: Ariffiq99/COPA_KUCI_Bert_Base_Uncased_Finetuned tags: - generated_from_trainer metrics: - f1 model-index: - name: CRAB_COPA_KUCI_Bert_Base_Uncased_finetuned results: [] --- # CRAB_COPA_KUCI_Bert_Base_Uncased_finetuned This model is a fine-tuned version of [Ariffiq99/COPA_KUCI_Bert_Base_Uncased_Finetuned](https://huggingface.co/Ariffiq99/COPA_KUCI_Bert_Base_Uncased_Finetuned) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 0.7686 - F1: 0.7694 ## 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: 1 - eval_batch_size: 1 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 8 ### Training results | Training Loss | Epoch | Step | Validation Loss | F1 | |:-------------:|:-----:|:-----:|:---------------:|:------:| | 1.0747 | 1.0 | 2880 | 0.9424 | 0.7014 | | 0.9502 | 2.0 | 5760 | 0.8660 | 0.7167 | | 0.8039 | 3.0 | 8640 | 0.7995 | 0.7278 | | 0.7633 | 4.0 | 11520 | 0.8053 | 0.7333 | | 0.7705 | 5.0 | 14400 | 0.8241 | 0.75 | | 0.8075 | 6.0 | 17280 | 0.7628 | 0.7667 | | 0.6885 | 7.0 | 20160 | 0.7813 | 0.7708 | | 0.6746 | 8.0 | 23040 | 0.7686 | 0.7694 | ### Framework versions - Transformers 4.41.2 - Pytorch 2.3.0+cu121 - Datasets 2.19.2 - Tokenizers 0.19.1