---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: BERT_ep6_lr2
  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_lr2

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: 0.0943
- Precision: 0.8387
- Recall: 0.8727
- F1: 0.8554
- Accuracy: 0.9748

## 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-06
- 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  | 0.0925          | 0.7979    | 0.8341 | 0.8156 | 0.9701   |
| 0.1097        | 2.0   | 934  | 0.0869          | 0.8285    | 0.8621 | 0.8450 | 0.9730   |
| 0.0748        | 3.0   | 1401 | 0.0894          | 0.8233    | 0.8770 | 0.8493 | 0.9737   |
| 0.06          | 4.0   | 1868 | 0.0917          | 0.8240    | 0.8784 | 0.8503 | 0.9735   |
| 0.0467        | 5.0   | 2335 | 0.0922          | 0.8315    | 0.8748 | 0.8526 | 0.9744   |
| 0.0442        | 6.0   | 2802 | 0.0943          | 0.8387    | 0.8727 | 0.8554 | 0.9748   |


### Framework versions

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