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ner-bert-base-spanish-wwm-uncased

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update model card README.md

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  ---
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- language:
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- - es
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  tags:
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  - generated_from_trainer
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- datasets:
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- - jpherrerap/competencia2
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  model-index:
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  - name: ner-bert-base-spanish-wwm-uncased
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  results: []
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  # ner-bert-base-spanish-wwm-uncased
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- 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 jpherrerap/competencia2 dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.0598
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  - Body Part Precision: 0.0
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  - Body Part Recall: 0.0
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  - Body Part F1: 0.0
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  - Disease Recall: 0.0
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  - Disease F1: 0.0
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  - Disease Number: 0
 
 
 
 
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  - Medication Precision: 0.0
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  - Medication Recall: 0.0
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  - Medication F1: 0.0
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  - Overall Precision: 0.0
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  - Overall Recall: 0.0
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  - Overall F1: 0.0
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- - Overall Accuracy: 0.7077
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  ## Model description
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@@ -62,13 +62,14 @@ The following hyperparameters were used during training:
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  - seed: 13
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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- - num_epochs: 1
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  ### Training results
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- | 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 |
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- |:-------------:|:-----:|:----:|:---------------:|:-------------------:|:----------------:|:------------:|:----------------:|:-----------------:|:--------------:|:----------:|:--------------:|:--------------------:|:-----------------:|:-------------:|:-----------------:|:-------------------:|:----------------:|:------------:|:----------------:|:-----------------:|:--------------:|:----------:|:----------------:|
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- | 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 |
 
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  ### Framework versions
 
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  ---
 
 
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  tags:
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  - generated_from_trainer
 
 
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  model-index:
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  - name: ner-bert-base-spanish-wwm-uncased
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  results: []
 
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  # ner-bert-base-spanish-wwm-uncased
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+ 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.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.7235
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  - Body Part Precision: 0.0
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  - Body Part Recall: 0.0
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  - Body Part F1: 0.0
 
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  - Disease Recall: 0.0
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  - Disease F1: 0.0
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  - Disease Number: 0
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+ - Family Member Precision: 0.0
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+ - Family Member Recall: 0.0
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+ - Family Member F1: 0.0
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+ - Family Member Number: 0
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  - Medication Precision: 0.0
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  - Medication Recall: 0.0
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  - Medication F1: 0.0
 
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  - Overall Precision: 0.0
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  - Overall Recall: 0.0
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  - Overall F1: 0.0
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+ - Overall Accuracy: 0.6705
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  ## Model description
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  - seed: 13
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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+ - num_epochs: 2
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  ### Training results
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+ | 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 | Family Member Precision | Family Member Recall | Family Member F1 | Family Member 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 |
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+ |:-------------:|:-----:|:----:|:---------------:|:-------------------:|:----------------:|:------------:|:----------------:|:-----------------:|:--------------:|:----------:|:--------------:|:-----------------------:|:--------------------:|:----------------:|:--------------------:|:--------------------:|:-----------------:|:-------------:|:-----------------:|:-------------------:|:----------------:|:------------:|:----------------:|:-----------------:|:--------------:|:----------:|:----------------:|
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+ | 0.3372 | 1.0 | 1004 | 1.5112 | 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 | 0.0 | 0.0 | 0.0 | 0.6713 |
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+ | 0.1611 | 2.0 | 2008 | 1.7235 | 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 | 0.0 | 0.0 | 0.0 | 0.6705 |
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  ### Framework versions