readme: ---
  language: es
  license: mit
  
  widget:
  - text: "y porqué es lo que hay que hacer con los menas y con los adultos también!!!! NO a los inmigrantes ilegales!!!!"
  ---
  
  ### Description
  This model is a fine-tuned version of [BETO (spanish bert)](https://huggingface.co/dccuchile/bert-base-spanish-wwm-uncased) that has been trained on the *Datathon Against Racism* dataset (2022)
  
  We performed several experiments that will be described in the upcoming paper "Estimating Ground Truth in a Low-labelled Data Regime:A Study of Racism Detection in Spanish" (NEATClasS 2022)
  We applied 6 different methods ground-truth estimations, and for each one we performed 4 epochs of fine-tuning. The result is made of 24 models:
  
  | method	| epoch 1	| epoch 3	| epoch 3	| epoch 4	|
  |---	|---	|---	|---	|---	|
  | raw-label	| [raw-label-epoch-1](https://huggingface.co/MartinoMensio/racism-models-raw-label-epoch-1)	| [raw-label-epoch-2](https://huggingface.co/MartinoMensio/racism-models-raw-label-epoch-2)	| [raw-label-epoch-3](https://huggingface.co/MartinoMensio/racism-models-raw-label-epoch-3)	| [raw-label-epoch-4](https://huggingface.co/MartinoMensio/racism-models-raw-label-epoch-4)	|
  | m-vote-strict	| [m-vote-strict-epoch-1](https://huggingface.co/MartinoMensio/racism-models-m-vote-strict-epoch-1)	| [m-vote-strict-epoch-2](https://huggingface.co/MartinoMensio/racism-models-m-vote-strict-epoch-2)	| [m-vote-strict-epoch-3](https://huggingface.co/MartinoMensio/racism-models-m-vote-strict-epoch-3)	| [m-vote-strict-epoch-4](https://huggingface.co/MartinoMensio/racism-models-m-vote-strict-epoch-4)	|
  | m-vote-nonstrict	| [m-vote-nonstrict-epoch-1](https://huggingface.co/MartinoMensio/racism-models-m-vote-nonstrict-epoch-1)	| [m-vote-nonstrict-epoch-2](https://huggingface.co/MartinoMensio/racism-models-m-vote-nonstrict-epoch-2)	| [m-vote-nonstrict-epoch-3](https://huggingface.co/MartinoMensio/racism-models-m-vote-nonstrict-epoch-3)	| [m-vote-nonstrict-epoch-4](https://huggingface.co/MartinoMensio/racism-models-m-vote-nonstrict-epoch-4)	|
  | regression-w-m-vote	| [regression-w-m-vote-epoch-1](https://huggingface.co/MartinoMensio/racism-models-regression-w-m-vote-epoch-1)	| [regression-w-m-vote-epoch-2](https://huggingface.co/MartinoMensio/racism-models-regression-w-m-vote-epoch-2)	| [regression-w-m-vote-epoch-3](https://huggingface.co/MartinoMensio/racism-models-regression-w-m-vote-epoch-3)	| [regression-w-m-vote-epoch-4](https://huggingface.co/MartinoMensio/racism-models-regression-w-m-vote-epoch-4)	|
  | w-m-vote-strict	| [w-m-vote-strict-epoch-1](https://huggingface.co/MartinoMensio/racism-models-w-m-vote-strict-epoch-1)	| [w-m-vote-strict-epoch-2](https://huggingface.co/MartinoMensio/racism-models-w-m-vote-strict-epoch-2)	| [w-m-vote-strict-epoch-3](https://huggingface.co/MartinoMensio/racism-models-w-m-vote-strict-epoch-3)	| [w-m-vote-strict-epoch-4](https://huggingface.co/MartinoMensio/racism-models-w-m-vote-strict-epoch-4)	|
  | w-m-vote-nonstrict	| [w-m-vote-nonstrict-epoch-1](https://huggingface.co/MartinoMensio/racism-models-w-m-vote-nonstrict-epoch-1)	| [w-m-vote-nonstrict-epoch-2](https://huggingface.co/MartinoMensio/racism-models-w-m-vote-nonstrict-epoch-2)	| [w-m-vote-nonstrict-epoch-3](https://huggingface.co/MartinoMensio/racism-models-w-m-vote-nonstrict-epoch-3)	| [w-m-vote-nonstrict-epoch-4](https://huggingface.co/MartinoMensio/racism-models-w-m-vote-nonstrict-epoch-4)	|
  
  
  This model is `m-vote-nonstrict-epoch-4`
  
  ### Usage
  
  ```python
  from transformers import AutoTokenizer, AutoModelForSequenceClassification, pipeline
    
  model_name = 'm-vote-nonstrict-epoch-4'
  tokenizer = AutoTokenizer.from_pretrained("dccuchile/bert-base-spanish-wwm-uncased")
  full_model_path = f'MartinoMensio/racism-models-{model_name}'
  model = AutoModelForSequenceClassification.from_pretrained(full_model_path)
  
  pipe = pipeline("text-classification", model = model, tokenizer = tokenizer)
  
  texts = [
      'y porqué es lo que hay que hacer con los menas y con los adultos también!!!! NO a los inmigrantes ilegales!!!!',
      'Es que los judíos controlan el mundo'
  ]
  print(pipe(texts))
  # [{'label': 'racist', 'score': 0.9791656136512756}, {'label': 'non-racist', 'score': 0.996966540813446}]
  ```
  
  For more details, see https://github.com/preyero/neatclass22
  