Beto Ner Prostata Bs16

--- library_name: transformers base_model: dccuchile/bert-base-spanish-wwm-cased tags: - generated_from_trainer metrics: - precision - recall - f1 model-index: - name: beto-ner-prostata-bs16 results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. --> # beto-ner-prostata-bs16 This model is a fine-tuned version of [dccuchile/bert-base-spanish-wwm-cased](https://huggingface.co/dccuchile/bert-base-spanish-wwm-cased) on the None dataset. It achieves the following results on the evaluation set: - Loss: 0.0654 - Precision: 0.9542 - Recall: 0.9600 - F1: 0.9571 ## 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: 2e-05 - train_batch_size: 32 - eval_batch_size: 32 - seed: 42 - optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments - lr_scheduler_type: linear - num_epochs: 8 ### Training results | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:| | 2.0781 | 1.0 | 98 | 0.2771 | 0.7678 | 0.8220 | 0.7940 | | 0.2541 | 2.0 | 196 | 0.1146 | 0.9138 | 0.9327 | 0.9231 | | 0.1182 | 3.0 | 294 | 0.0610 | 0.9580 | 0.9605 | 0.9593 | | 0.0791 | 4.0 | 392 | 0.0617 | 0.9558 | 0.9663 | 0.9611 | | 0.0542 | 5.0 | 490 | 0.0535 | 0.9710 | 0.9761 | 0.9735 | | 0.0408 | 6.0 | 588 | 0.0508 | 0.9780 | 0.9761 | 0.9770 | | 0.0338 | 7.0 | 686 | 0.0488 | 0.9805 | 0.9767 | 0.9786 | | 0.0304 | 8.0 | 784 | 0.0492 | 0.9812 | 0.9773 | 0.9792 | ### Framework versions - Transformers 5.0.0 - Pytorch 2.10.0+cu128 - Datasets 5.0.0 - Tokenizers 0.22.2

--- library_name: transformers base_model: dccuchile/bert-base-spanish-wwm-cased tags: - generated_from_trainer metrics: - precision - recall - f1 model-index: - name: beto-ner-prostata-bs16 results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. --> # beto-ner-prostata-bs16 This model is a fine-tuned version of [dccuchile/bert-base-spanish-wwm-cased](https://huggingface.co/dccuchile/bert-base-spanish-wwm-cased) on the None dataset. It achieves the following results on the evaluation set: - Loss: 0.0654 - Precision: 0.9542 - Recall: 0.9600 - F1: 0.9571 ## 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: 2e-05 - train_batch_size: 32 - eval_batch_size: 32 - seed: 42 - optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments - lr_scheduler_type: linear - num_epochs: 8 ### Training results | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:| | 2.0779 | 1.0 | 98 | 0.2771 | 0.7674 | 0.8220 | 0.7938 | | 0.2541 | 2.0 | 196 | 0.1146 | 0.9138 | 0.9327 | 0.9231 | | 0.1182 | 3.0 | 294 | 0.0610 | 0.9580 | 0.9605 | 0.9593 | | 0.0791 | 4.0 | 392 | 0.0617 | 0.9558 | 0.9663 | 0.9611 | | 0.0543 | 5.0 | 490 | 0.0535 | 0.9710 | 0.9761 | 0.9735 | | 0.0408 | 6.0 | 588 | 0.0508 | 0.9780 | 0.9761 | 0.9770 | | 0.0338 | 7.0 | 686 | 0.0488 | 0.9805 | 0.9767 | 0.9786 | | 0.0304 | 8.0 | 784 | 0.0492 | 0.9812 | 0.9773 | 0.9792 | ### Framework versions - Transformers 5.0.0 - Pytorch 2.10.0+cu128 - Datasets 5.0.0 - Tokenizers 0.22.2

Source context: 4 downloads · 0 likes · Pipeline token-classification · Library transformers · Repo Ben0ni/beto-ner-prostata-bs16