--- license: apache-2.0 base_model: Ariffiq99/KUCI_Bert_Base_Finetuned tags: - generated_from_trainer metrics: - f1 model-index: - name: CRAB_KUCI_bert_base_uncased_finetuned results: [] --- # CRAB_KUCI_bert_base_uncased_finetuned This model is a fine-tuned version of [Ariffiq99/KUCI_Bert_Base_Finetuned](https://huggingface.co./Ariffiq99/KUCI_Bert_Base_Finetuned) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 0.8564 - F1: 0.7236 ## 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 | |:-------------:|:-----:|:-----:|:---------------:|:------:| | 0.9504 | 1.0 | 2880 | 0.7816 | 0.6917 | | 0.6879 | 2.0 | 5760 | 0.7938 | 0.7014 | | 0.9933 | 3.0 | 8640 | 0.8723 | 0.7111 | | 0.5986 | 4.0 | 11520 | 0.9972 | 0.7167 | | 0.625 | 5.0 | 14400 | 0.8638 | 0.7111 | | 0.6556 | 6.0 | 17280 | 0.8865 | 0.7236 | | 0.7406 | 7.0 | 20160 | 0.8676 | 0.7208 | | 0.6502 | 8.0 | 23040 | 0.8564 | 0.7236 | ### Framework versions - Transformers 4.41.2 - Pytorch 2.3.0+cu121 - Datasets 2.20.0 - Tokenizers 0.19.1