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Beto Ner Prostata Bs32

This model is a fine-tuned version of dccuchile/bert-base-spanish-wwm-cased on the None dataset. It achieves the following results on the evaluation set: Loss: 0.0693 Precision: 0.9459 Recall: 0.9574 F1: 0.9517

Fuentehuggingface.co/Ben0ni/beto-ner-prostata-bs32/tree/ccac69ed281d441a7aa7ca2dfba16d13816878ac
TipoOtherModelo basedccuchile/bert-base-spanish-wwm-casedVersiónRevision ccac69eCcalidad

Fuente del modelo

Tipo
Other
Tamaño del archivo
417 MB
Modelo base
dccuchile/bert-base-spanish-wwm-cased
Versión
vRevision ccac69e
Actualizado
21 oct 2026
Descargas
7
Fuente
Hugging Face

Descripción de la fuente

beto-ner-prostata-bs32

This model is a fine-tuned version of dccuchile/bert-base-spanish-wwm-cased on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0693
  • Precision: 0.9459
  • Recall: 0.9574
  • F1: 0.9517

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: 64
  • eval_batch_size: 64
  • 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 LossEpochStepValidation LossPrecisionRecallF1
No log1.0490.54700.65460.66990.6622
1.97282.0980.20100.84420.88030.8619
0.40783.01470.10270.92270.93530.9290
0.18084.01960.07870.93410.95400.9440
0.11235.02450.06360.95450.96380.9591
0.08366.02940.06060.96130.96570.9635
0.06617.03430.05420.96650.96960.9680
0.05338.03920.05560.96770.96830.9680

Framework versions

  • Transformers 5.0.0
  • Pytorch 2.10.0+cu128
  • Datasets 5.0.0
  • Tokenizers 0.22.2

Fuentes

1 fuente
Hugging FacePrincipalVersión ccac69ed281d441a7aa7ca2dfba16d13816878ac
huggingface.co/Ben0ni/beto-ner-prostata-bs32/tree/ccac69ed281d441a7aa7ca2dfba16d13816878ac

Verificado 21 oct

Artefactos del modelo

1 artefacto

model.safetensors

safetensors · 417 MB · SHA-256 11e69334d1bd…ea45 · Hugging Face

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Extractos de fuentes

3 extractos
Readme4 agohuggingface.co/Ben0ni/beto-ner-prostata-bs32

--- 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-bs32 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-bs32 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: 0.0693 - Precision: 0.9459 - Recall: 0.9574 - F1: 0.9517 ## 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: 64 - eval_batch_size: 64 - 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 | |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:| | No log | 1.0 | 49 | 0.5470 | 0.6546 | 0.6699 | 0.6622 | | 1.9728 | 2.0 | 98 | 0.2010 | 0.8442 | 0.8803 | 0.8619 | | 0.4078 | 3.0 | 147 | 0.1027 | 0.9227 | 0.9353 | 0.9290 | | 0.1808 | 4.0 | 196 | 0.0787 | 0.9341 | 0.9540 | 0.9440 | | 0.1123 | 5.0 | 245 | 0.0636 | 0.9545 | 0.9638 | 0.9591 | | 0.0836 | 6.0 | 294 | 0.0606 | 0.9613 | 0.9657 | 0.9635 | | 0.0661 | 7.0 | 343 | 0.0542 | 0.9665 | 0.9696 | 0.9680 | | 0.0533 | 8.0 | 392 | 0.0556 | 0.9677 | 0.9683 | 0.9680 | ### Framework versions - Transformers 5.0.0 - Pytorch 2.10.0+cu128 - Datasets 5.0.0 - Tokenizers 0.22.2

Note21 octhuggingface.co/Ben0ni/beto-ner-prostata-bs32

Source context: 7 downloads · 0 likes · Pipeline token-classification · Library transformers · Repo Ben0ni/beto-ner-prostata-bs32

Note4 agohuggingface.co/Ben0ni/beto-ner-prostata-bs32

Source context: 407 downloads · 0 likes · Pipeline token-classification · Library transformers · Repo Ben0ni/beto-ner-prostata-bs32