--- license: apache-2.0 base_model: Ariffiq99/CRAB_bert_base_uncased_finetuned tags: - generated_from_trainer metrics: - f1 model-index: - name: e_care_CRAB_bert_base_uncased_finetuned results: [] --- # e_care_CRAB_bert_base_uncased_finetuned This model is a fine-tuned version of [Ariffiq99/CRAB_bert_base_uncased_finetuned](https://huggingface.co/Ariffiq99/CRAB_bert_base_uncased_finetuned) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 0.8393 - F1: 0.7531 ## 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: 6 ### Training results | Training Loss | Epoch | Step | Validation Loss | F1 | |:-------------:|:-----:|:----:|:---------------:|:------:| | 0.5685 | 1.0 | 933 | 0.4907 | 0.7493 | | 0.4171 | 2.0 | 1866 | 0.4996 | 0.7507 | | 0.3 | 3.0 | 2799 | 0.6103 | 0.7521 | | 0.2177 | 4.0 | 3732 | 0.7090 | 0.7507 | | 0.1559 | 5.0 | 4665 | 0.8094 | 0.7549 | | 0.137 | 6.0 | 5598 | 0.8393 | 0.7531 | ### Framework versions - Transformers 4.41.1 - Pytorch 2.3.0+cu121 - Datasets 2.19.1 - Tokenizers 0.19.1