---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- shared-task
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: bsc-bio-ehr-es-finetuned-ner-1
  results:
  - task:
      name: Token Classification
      type: token-classification
    dataset:
      name: shared-task
      type: shared-task
      config: Shared
      split: validation
      args: Shared
    metrics:
    - name: Precision
      type: precision
      value: 0.28507462686567164
    - name: Recall
      type: recall
      value: 0.3560111835973905
    - name: F1
      type: f1
      value: 0.3166183174471612
    - name: Accuracy
      type: accuracy
      value: 0.8444321635810997
---

<!-- 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. -->

# bsc-bio-ehr-es-finetuned-ner-1

This model is a fine-tuned version of [PlanTL-GOB-ES/bsc-bio-ehr-es](https://huggingface.co/PlanTL-GOB-ES/bsc-bio-ehr-es) on the shared-task dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6021
- Precision: 0.2851
- Recall: 0.3560
- F1: 0.3166
- Accuracy: 0.8444

## 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: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
| No log        | 1.0   | 59   | 0.6644          | 0.2234    | 0.2600 | 0.2403 | 0.8198   |
| No log        | 2.0   | 118  | 0.5786          | 0.1997    | 0.2507 | 0.2223 | 0.8331   |
| No log        | 3.0   | 177  | 0.6083          | 0.2732    | 0.3187 | 0.2942 | 0.8379   |
| No log        | 4.0   | 236  | 0.6032          | 0.2855    | 0.3486 | 0.3139 | 0.8366   |
| No log        | 5.0   | 295  | 0.6021          | 0.2851    | 0.3560 | 0.3166 | 0.8444   |


### Framework versions

- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3