---
license: apache-2.0
tags:
- 
datasets:
- EXIST Dataset
- MeTwo Machismo and Sexism Twitter Identification dataset

metrics:
- accuracy
model-index:
- name: twitter_sexismo-finetuned-exist2021
  results:
  - task:
      name: Text Classification
      type: text-classification
    dataset:
      name: EXIST Dataset
      type: EXIST Dataset
      args: es
    metrics:
    - name: Accuracy
      type: accuracy
      value: 0.83
---

# twitter_sexismo-finetuned-exist2021

This model is a fine-tuned version of [pysentimiento/robertuito-hate-speech](https://huggingface.co/pysentimiento/robertuito-hate-speech) on the EXIST dataset and MeTwo: Machismo and Sexism Twitter Identification dataset https://github.com/franciscorodriguez92/MeTwo.
It achieves the following results on the evaluation set:
- Loss: 0.54
- Accuracy: 0.83

## Model description

Modelo para el Hackaton de Somos NLP para detección de sexismo en twitts en español. Creado por:

medardodt

MariaIsabel

ManRo

lucel172

robertou2

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- my_learning_rate = 5E-5 
- my_adam_epsilon = 1E-8 
- my_number_of_epochs = 8
- my_warmup = 3
- my_mini_batch_size = 32
- optimizer: AdamW with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8

### Training results
Epoch 	Training Loss 	Validation Loss 	Accuracy 	F1 	Precision 	Recall

1 	0.389900 	0.397857 	0.827133 	0.699620 	0.786325 	0.630137

2 	0.064400 	0.544625 	0.831510 	0.707224 	0.794872 	0.636986

3 	0.004800 	0.837723 	0.818381 	0.704626 	0.733333 	0.678082

4 	0.000500 	1.045066 	0.820569 	0.702899 	0.746154 	0.664384

5 	0.000200 	1.172727 	0.805252 	0.669145 	0.731707 	0.616438

6 	0.000200 	1.202422 	0.827133 	0.720848 	0.744526 	0.698630

7 	0.000000 	1.195012 	0.827133 	0.718861 	0.748148 	0.691781

8 	0.000100 	1.215515 	0.824945 	0.705882 	0.761905 	0.657534

9 	0.000100 	1.233099 	0.827133 	0.710623 	0.763780 	0.664384

10 	0.000100 	1.237268 	0.829322 	0.713235 	0.769841 	0.664384



### Framework versions

- Transformers 4.17.0
- Pytorch 1.10.0+cu111
- Tokenizers 0.11.6


## Model in Action
Fast usage with pipelines:
``` python
###libraries required
!pip install transformers
from transformers import pipeline

### usage pipelines
model_checkpoint = "hackathon-pln-es/twitter_sexismo-finetuned-exist2021-metwo" 
pipeline_nlp = pipeline("text-classification", model=model_checkpoint)
pipeline_nlp("mujer al volante peligro!") 
#pipeline_nlp("¡me encanta el ipad!") 
#pipeline_nlp (["mujer al volante peligro!", "Los hombre tienen más manias que las mujeres", "me encanta el ipad!"] )

# OUTPUT MODEL #
# LABEL_0: "NON SEXISM"or LABEL_1: "SEXISM"  and score: probability of accuracy per model.

# [{'label': 'LABEL_1', 'score': 0.9967633485794067}]
# [{'label': 'LABEL_0', 'score': 0.9934417009353638}]

#[{‘label': 'LABEL_1', 'score': 0.9967633485794067},
# {'label': 'LABEL_1', 'score': 0.9755664467811584},
# {'label': 'LABEL_0', 'score': 0.9955045580863953}]
```