---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: BERT_ep6_lr5
  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. -->

# BERT_ep6_lr5

This model is a fine-tuned version of [ajtamayoh/NER_EHR_Spanish_model_Mulitlingual_BERT](https://huggingface.co/ajtamayoh/NER_EHR_Spanish_model_Mulitlingual_BERT) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2877
- Precision: 0.6804
- Recall: 0.6408
- F1: 0.6600
- Accuracy: 0.9429

## 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-09
- 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: 6

### Training results

| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
| No log        | 1.0   | 467  | 0.2952          | 0.6845    | 0.6360 | 0.6593 | 0.9425   |
| 0.2949        | 2.0   | 934  | 0.2919          | 0.6823    | 0.6379 | 0.6594 | 0.9428   |
| 0.2961        | 3.0   | 1401 | 0.2897          | 0.6819    | 0.6395 | 0.6600 | 0.9428   |
| 0.2845        | 4.0   | 1868 | 0.2884          | 0.6809    | 0.6406 | 0.6601 | 0.9428   |
| 0.29          | 5.0   | 2335 | 0.2878          | 0.6799    | 0.6406 | 0.6597 | 0.9429   |
| 0.2835        | 6.0   | 2802 | 0.2877          | 0.6804    | 0.6408 | 0.6600 | 0.9429   |


### Framework versions

- Transformers 4.27.4
- Pytorch 1.13.1+cu116
- Datasets 2.11.0
- Tokenizers 0.13.2