---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: roberta-base-biomedical-clinical-es-finetuned-ner
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# roberta-base-biomedical-clinical-es-finetuned-ner

This model is a fine-tuned version of [PlanTL-GOB-ES/roberta-base-biomedical-clinical-es](https://huggingface.co/PlanTL-GOB-ES/roberta-base-biomedical-clinical-es) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1382

## 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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 14

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.3315        | 1.0   | 12   | 0.3878          |
| 0.2419        | 2.0   | 24   | 0.2655          |
| 0.175         | 3.0   | 36   | 0.1888          |
| 0.1441        | 4.0   | 48   | 0.1808          |
| 0.1111        | 5.0   | 60   | 0.1544          |
| 0.1064        | 6.0   | 72   | 0.1506          |
| 0.0962        | 7.0   | 84   | 0.1396          |
| 0.1367        | 8.0   | 96   | 0.1403          |
| 0.0303        | 9.0   | 108  | 0.1415          |
| 0.0741        | 10.0  | 120  | 0.1355          |
| 0.0554        | 11.0  | 132  | 0.1355          |
| 0.0542        | 12.0  | 144  | 0.1360          |
| 0.0292        | 13.0  | 156  | 0.1369          |
| 0.0188        | 14.0  | 168  | 0.1382          |


### Framework versions

- Transformers 4.21.2
- Pytorch 1.12.1+cu113
- Datasets 2.4.0
- Tokenizers 0.12.1