Beto Ner Prostata Bs8

--- 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-bs8 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-bs8 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: 0.0702 - Precision: 0.9608 - Recall: 0.9676 - F1: 0.9642 ## 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: 16 - eval_batch_size: 16 - 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 | |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:| | 0.3835 | 1.0 | 195 | 0.1729 | 0.8563 | 0.9023 | 0.8787 | | 0.1117 | 2.0 | 390 | 0.0706 | 0.9551 | 0.9508 | 0.9530 | | 0.0743 | 3.0 | 585 | 0.0446 | 0.9727 | 0.9696 | 0.9712 | | 0.0569 | 4.0 | 780 | 0.0469 | 0.9760 | 0.9722 | 0.9741 | | 0.0317 | 5.0 | 975 | 0.0478 | 0.9786 | 0.9786 | 0.9786 | | 0.0347 | 6.0 | 1170 | 0.0491 | 0.9818 | 0.9761 | 0.9789 | | 0.0228 | 7.0 | 1365 | 0.0491 | 0.9824 | 0.9767 | 0.9796 | | 0.0176 | 8.0 | 1560 | 0.0491 | 0.9824 | 0.9767 | 0.9796 | ### 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-bs8 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-bs8 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: 0.0661 - Precision: 0.9676 - Recall: 0.9691 - F1: 0.9684 ## 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: 16 - eval_batch_size: 16 - 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 | |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:| | 0.3897 | 1.0 | 195 | 0.1798 | 0.8402 | 0.9087 | 0.8731 | | 0.1182 | 2.0 | 390 | 0.0703 | 0.9473 | 0.9534 | 0.9503 | | 0.0749 | 3.0 | 585 | 0.0446 | 0.9734 | 0.9722 | 0.9728 | | 0.0597 | 4.0 | 780 | 0.0462 | 0.9792 | 0.9767 | 0.9780 | | 0.0334 | 5.0 | 975 | 0.0496 | 0.9736 | 0.9799 | 0.9768 | | 0.0348 | 6.0 | 1170 | 0.0465 | 0.9818 | 0.9799 | 0.9809 | | 0.0230 | 7.0 | 1365 | 0.0469 | 0.9818 | 0.9786 | 0.9802 | | 0.0201 | 8.0 | 1560 | 0.0479 | 0.9805 | 0.9780 | 0.9793 | ### Framework versions - Transformers 5.0.0 - Pytorch 2.10.0+cu128 - Datasets 5.0.0 - Tokenizers 0.22.2

Source context: 10 downloads · 0 likes · Pipeline token-classification · Library transformers · Repo Ben0ni/beto-ner-prostata-bs8