readme: ---
  license: cc
  tags:
  - generated_from_trainer
  metrics:
  - f1
  model-index:
  - name: racism-finetuned-detests-prueba
    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. -->
  
  # racism-finetuned-detests-prueba
  
  This model is a fine-tuned version of [davidmasip/racism](https://huggingface.co/davidmasip/racism) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 1.3034
  - F1: 0.6222
  
  ## 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: 2e-05
  - train_batch_size: 50
  - eval_batch_size: 50
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 10
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | F1     |
  |:-------------:|:-----:|:----:|:---------------:|:------:|
  | 0.0001        | 1.0   | 49   | 1.0331          | 0.6667 |
  | 0.0           | 2.0   | 98   | 1.2473          | 0.5992 |
  | 0.0           | 3.0   | 147  | 1.2280          | 0.6227 |
  | 0.0           | 4.0   | 196  | 1.2530          | 0.6245 |
  | 0.0           | 5.0   | 245  | 1.2708          | 0.6222 |
  | 0.0           | 6.0   | 294  | 1.2827          | 0.6222 |
  | 0.0           | 7.0   | 343  | 1.2918          | 0.6222 |
  | 0.0           | 8.0   | 392  | 1.2982          | 0.6222 |
  | 0.0           | 9.0   | 441  | 1.3021          | 0.6222 |
  | 0.0           | 10.0  | 490  | 1.3034          | 0.6222 |
  
  
  ### Framework versions
  
  - Transformers 4.23.1
  - Pytorch 1.12.1+cu113
  - Datasets 2.6.1
  - Tokenizers 0.13.1
  