---
library_name: transformers
base_model: dccuchile/bert-base-spanish-wwm-cased
tags:
- generated_from_trainer
model-index:
- name: Neuria_BERT_Contexto_0108
  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. -->

# Neuria_BERT_Contexto_0108

This model is a fine-tuned version of [dccuchile/bert-base-spanish-wwm-cased](https://huggingface.co/dccuchile/bert-base-spanish-wwm-cased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0851
- F1 Micro: 0.8428
- F1 Macro: 0.5221

## 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: 2
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 50

### Training results

| Training Loss | Epoch   | Step | Validation Loss | F1 Micro | F1 Macro |
|:-------------:|:-------:|:----:|:---------------:|:--------:|:--------:|
| 0.4708        | 0.96    | 18   | 0.3215          | 0.0      | 0.0      |
| 0.3044        | 1.9733  | 37   | 0.2748          | 0.0230   | 0.0096   |
| 0.2664        | 2.9867  | 56   | 0.2490          | 0.3301   | 0.0883   |
| 0.2376        | 4.0     | 75   | 0.2225          | 0.3619   | 0.1010   |
| 0.2196        | 4.96    | 93   | 0.1997          | 0.5254   | 0.1891   |
| 0.1815        | 5.9733  | 112  | 0.1802          | 0.6190   | 0.2344   |
| 0.1592        | 6.9867  | 131  | 0.1655          | 0.6032   | 0.2441   |
| 0.1362        | 8.0     | 150  | 0.1492          | 0.7059   | 0.3614   |
| 0.126         | 8.96    | 168  | 0.1383          | 0.7234   | 0.4036   |
| 0.1054        | 9.9733  | 187  | 0.1311          | 0.7639   | 0.4380   |
| 0.095         | 10.9867 | 206  | 0.1291          | 0.7639   | 0.4369   |
| 0.0858        | 12.0    | 225  | 0.1195          | 0.7891   | 0.4683   |
| 0.0816        | 12.96   | 243  | 0.1179          | 0.7974   | 0.4815   |
| 0.0707        | 13.9733 | 262  | 0.1080          | 0.8105   | 0.4927   |
| 0.0655        | 14.9867 | 281  | 0.1074          | 0.8129   | 0.4962   |
| 0.0609        | 16.0    | 300  | 0.1041          | 0.8333   | 0.5166   |
| 0.0599        | 16.96   | 318  | 0.1011          | 0.8258   | 0.5037   |
| 0.0537        | 17.9733 | 337  | 0.0988          | 0.8235   | 0.4994   |
| 0.0512        | 18.9867 | 356  | 0.0976          | 0.8258   | 0.5115   |
| 0.0485        | 20.0    | 375  | 0.0965          | 0.8153   | 0.5075   |
| 0.0491        | 20.96   | 393  | 0.0945          | 0.8333   | 0.5181   |
| 0.0447        | 21.9733 | 412  | 0.0939          | 0.8375   | 0.5102   |
| 0.0426        | 22.9867 | 431  | 0.0949          | 0.8258   | 0.5010   |
| 0.0418        | 24.0    | 450  | 0.0926          | 0.8447   | 0.5247   |
| 0.0423        | 24.96   | 468  | 0.0929          | 0.8375   | 0.5102   |
| 0.0389        | 25.9733 | 487  | 0.0920          | 0.85     | 0.5331   |
| 0.0375        | 26.9867 | 506  | 0.0921          | 0.8462   | 0.5246   |
| 0.0368        | 28.0    | 525  | 0.0900          | 0.8101   | 0.4962   |
| 0.0375        | 28.96   | 543  | 0.0914          | 0.8408   | 0.5125   |
| 0.0349        | 29.9733 | 562  | 0.0894          | 0.8481   | 0.5243   |
| 0.034         | 30.9867 | 581  | 0.0887          | 0.8447   | 0.5235   |
| 0.0334        | 32.0    | 600  | 0.0871          | 0.8428   | 0.5221   |
| 0.0342        | 32.96   | 618  | 0.0863          | 0.8354   | 0.5184   |
| 0.0317        | 33.9733 | 637  | 0.0875          | 0.8280   | 0.5052   |
| 0.0311        | 34.9867 | 656  | 0.0877          | 0.8354   | 0.5089   |
| 0.0307        | 36.0    | 675  | 0.0874          | 0.8354   | 0.5184   |
| 0.0318        | 36.96   | 693  | 0.0863          | 0.8428   | 0.5221   |
| 0.0297        | 37.9733 | 712  | 0.0854          | 0.8280   | 0.5145   |
| 0.0294        | 38.9867 | 731  | 0.0867          | 0.8375   | 0.5200   |
| 0.0292        | 40.0    | 750  | 0.0856          | 0.8428   | 0.5221   |
| 0.0306        | 40.96   | 768  | 0.0857          | 0.8354   | 0.5184   |
| 0.0287        | 41.9733 | 787  | 0.0856          | 0.8428   | 0.5221   |
| 0.0284        | 42.9867 | 806  | 0.0847          | 0.8354   | 0.5184   |
| 0.0284        | 44.0    | 825  | 0.0849          | 0.8428   | 0.5221   |
| 0.0296        | 44.96   | 843  | 0.0854          | 0.8428   | 0.5221   |
| 0.028         | 45.9733 | 862  | 0.0852          | 0.8428   | 0.5221   |
| 0.0278        | 46.9867 | 881  | 0.0850          | 0.8428   | 0.5221   |
| 0.0279        | 48.0    | 900  | 0.0851          | 0.8428   | 0.5221   |


### Framework versions

- Transformers 4.44.1
- Pytorch 2.4.1
- Datasets 2.19.1
- Tokenizers 0.19.1