---
library_name: transformers
license: apache-2.0
base_model: bert-base-uncased
tags:
- classification
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: clasificador-tweets
  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. -->

# clasificador-tweets

This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0504
- Accuracy: 0.7021

## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 23   | 1.7695          | 0.3404   |
| No log        | 2.0   | 46   | 1.6798          | 0.3404   |
| No log        | 3.0   | 69   | 1.3540          | 0.6383   |
| No log        | 4.0   | 92   | 1.1110          | 0.5745   |
| No log        | 5.0   | 115  | 1.0236          | 0.6809   |
| No log        | 6.0   | 138  | 0.9439          | 0.7234   |
| No log        | 7.0   | 161  | 1.0006          | 0.6809   |
| No log        | 8.0   | 184  | 1.0035          | 0.7234   |
| No log        | 9.0   | 207  | 1.0292          | 0.7234   |
| No log        | 10.0  | 230  | 1.0504          | 0.7021   |


### Framework versions

- Transformers 4.47.0
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0