--- base_model: dccuchile/bert-base-spanish-wwm-cased tags: - generated_from_trainer metrics: - accuracy - f1 model-index: - name: ABL_trad_2e results: [] --- # ABL_trad_2e This model is a fine-tuned version of [dccuchile/bert-base-spanish-wwm-cased](https://huggingface.co/dccuchile/bert-base-spanish-wwm-cased) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 0.6197 - Accuracy: 0.7492 - F1: 0.7480 ## 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: 32 - eval_batch_size: 32 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 12 ### Training results | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | |:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:| | 0.8297 | 1.0 | 2342 | 0.8006 | 0.6318 | 0.6304 | | 0.7468 | 2.0 | 4684 | 0.7369 | 0.6706 | 0.6685 | | 0.6876 | 3.0 | 7026 | 0.6962 | 0.6913 | 0.6901 | | 0.6548 | 4.0 | 9368 | 0.6739 | 0.7015 | 0.7009 | | 0.61 | 5.0 | 11710 | 0.6597 | 0.7134 | 0.7111 | | 0.5775 | 6.0 | 14052 | 0.6422 | 0.7219 | 0.7203 | | 0.5592 | 7.0 | 16394 | 0.6298 | 0.7279 | 0.7264 | | 0.5441 | 8.0 | 18736 | 0.6221 | 0.7346 | 0.7339 | | 0.5191 | 9.0 | 21078 | 0.6182 | 0.7389 | 0.7373 | | 0.4999 | 10.0 | 23420 | 0.6229 | 0.7442 | 0.7423 | | 0.4797 | 11.0 | 25762 | 0.6259 | 0.7436 | 0.7426 | | 0.4584 | 12.0 | 28104 | 0.6197 | 0.7492 | 0.7480 | ### Framework versions - Transformers 4.37.2 - Pytorch 2.1.0+cu121 - Datasets 2.16.1 - Tokenizers 0.15.1