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README.md

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+---
+tags:
+- generated_from_trainer
+model-index:
+- name: ner-bert-base-spanish-wwm-uncased
+  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. -->
+
+# ner-bert-base-spanish-wwm-uncased
+
+This model is a fine-tuned version of [dccuchile/bert-base-spanish-wwm-uncased](https://huggingface.co/dccuchile/bert-base-spanish-wwm-uncased) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.0598
+- Body Part Precision: 0.0
+- Body Part Recall: 0.0
+- Body Part F1: 0.0
+- Body Part Number: 0
+- Disease Precision: 0.0
+- Disease Recall: 0.0
+- Disease F1: 0.0
+- Disease Number: 0
+- Medication Precision: 0.0
+- Medication Recall: 0.0
+- Medication F1: 0.0
+- Medication Number: 0
+- Procedure Precision: 0.0
+- Procedure Recall: 0.0
+- Procedure F1: 0.0
+- Procedure Number: 0
+- Overall Precision: 0.0
+- Overall Recall: 0.0
+- Overall F1: 0.0
+- Overall Accuracy: 0.7077
+
+## 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: 5e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 13
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 1
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Body Part Precision | Body Part Recall | Body Part F1 | Body Part Number | Disease Precision | Disease Recall | Disease F1 | Disease Number | Medication Precision | Medication Recall | Medication F1 | Medication Number | Procedure Precision | Procedure Recall | Procedure F1 | Procedure Number | Overall Precision | Overall Recall | Overall F1 | Overall Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:-------------------:|:----------------:|:------------:|:----------------:|:-----------------:|:--------------:|:----------:|:--------------:|:--------------------:|:-----------------:|:-------------:|:-----------------:|:-------------------:|:----------------:|:------------:|:----------------:|:-----------------:|:--------------:|:----------:|:----------------:|
+| 0.6071        | 1.0   | 125  | 1.0598          | 0.0                 | 0.0              | 0.0          | 0                | 0.0               | 0.0            | 0.0        | 0              | 0.0                  | 0.0               | 0.0           | 0                 | 0.0                 | 0.0              | 0.0          | 0                | 0.0               | 0.0            | 0.0        | 0.7077           |
+
+
+### Framework versions
+
+- Transformers 4.30.2
+- Pytorch 2.0.1+cu118
+- Datasets 2.13.1
+- Tokenizers 0.13.3