---
tags:
- generated_from_trainer
model-index:
- name: bert-base-spanish-wwm-cased-finetuned-tweets
  results: []
datasets:
- jhonparra18/petro-tweets
language:
- es
metrics:
- perplexity
---

<!-- 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-base-spanish-wwm-cased-finetuned-tweets

This model is a fine-tuned version of [dccuchile/bert-base-spanish-wwm-cased](https://huggingface.co/dccuchile/bert-base-spanish-wwm-cased) on the petro-tweets dataset.
It achieves the following results on the evaluation set:
- Loss: 3.1517

## 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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 3.6022        | 1.0   | 79   | 3.3121          |
| 3.306         | 2.0   | 158  | 3.1592          |
| 3.2052        | 3.0   | 237  | 3.1216          |


### Framework versions

- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.10.1
- Tokenizers 0.13.2