transformers tensorboard safetensors roberta token-classification generated_from_trainer es base_model:PlanTL-GOB-ES/roberta-large-bne-capitel-ner base_model:finetune:PlanTL-GOB-ES/roberta-large-bne-capitel-ner license:apache-2.0 autotrain_compatible endpoints_compatible region:us
---
base_model: PlanTL-GOB-ES/roberta-large-bne-capitel-ner
language:
- es
license: apache-2.0
metrics:
- precision
- recall
- f1
- accuracy
tags:
- token-classification
- generated_from_trainer
widget:
- text: 'Karen Lopez, resisdente de la 105 # 58- 41, se encuentra en el área de cuidados
    intensivos'
model-index:
- name: roberta-large-bne-capitel-ner_spanish
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# roberta-large-bne-capitel-ner_spanish

This model is a fine-tuned version of [PlanTL-GOB-ES/roberta-large-bne-capitel-ner](https://huggingface.co/PlanTL-GOB-ES/roberta-large-bne-capitel-ner) on the MEDDOCAN dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1915
- Precision: 0.8269
- Recall: 0.6719
- F1: 0.7414
- Accuracy: 0.9561

## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results



### Framework versions

- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1