---
library_name: transformers
base_model: mrm8488/electricidad-base-discriminator
tags:
- classification
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: mi_clasificador_de_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. -->

# mi_clasificador_de_tweets

This model is a fine-tuned version of [mrm8488/electricidad-base-discriminator](https://huggingface.co/mrm8488/electricidad-base-discriminator) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1312
- Accuracy: 0.6809

## 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: 12

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 23   | 1.7628          | 0.3404   |
| No log        | 2.0   | 46   | 1.6540          | 0.3404   |
| No log        | 3.0   | 69   | 1.4267          | 0.5745   |
| No log        | 4.0   | 92   | 1.2299          | 0.6170   |
| No log        | 5.0   | 115  | 1.1058          | 0.6170   |
| No log        | 6.0   | 138  | 1.1018          | 0.6596   |
| No log        | 7.0   | 161  | 1.1246          | 0.6809   |
| No log        | 8.0   | 184  | 1.0917          | 0.6170   |
| No log        | 9.0   | 207  | 1.1161          | 0.6170   |
| No log        | 10.0  | 230  | 1.1367          | 0.6596   |
| No log        | 11.0  | 253  | 1.1201          | 0.6809   |
| No log        | 12.0  | 276  | 1.1312          | 0.6809   |


### Framework versions

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