---
base_model: mrm8488/electricidad-base-discriminator
tags:
- classification
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: clasificador-muchocine-Tinasversion
  results: []
datasets:
- mrm8488/CHISTES_spanish_jokes
language:
- es
---

# clasificador-muchocine-Tinasversion

This model is a fine-tuned version of [mrm8488/electricidad-base-discriminator](https://huggingface.co/mrm8488/electricidad-base-discriminator) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.4232
- Accuracy: 0.4335

## Model description

Tokenized with Electricidad

## Intended uses & limitations

Model trained as part of the coding practices of the program in Machine Learning - Master Degree in NLP and AI - Universidad de la Rioja

## 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: 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 | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 388  | 1.3638          | 0.3884   |
| 1.4276        | 2.0   | 776  | 1.3162          | 0.4284   |
| 1.0209        | 3.0   | 1164 | 1.4232          | 0.4335   |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0