---
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: ConfliBERT-Spanish-wwm-cased
  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. -->

# ConfliBERT-Spanish-wwm-cased

This model is a fine-tuned version of [../models/bert-base-spanish-wwm-cased](https://huggingface.co./../models/bert-base-spanish-wwm-cased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0036
- Accuracy: 0.7674

## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0

### Training results



### Framework versions

- Transformers 4.26.0
- Pytorch 1.13.0.dev20220616
- Datasets 2.8.0
- Tokenizers 0.13.2