readme: ---
  license: cc
  tags:
  - generated_from_trainer
  metrics:
  - accuracy
  model-index:
  - name: racism-finetuned-detests
    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
  
  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: 1.0150
  - Accuracy: 0.8560
  
  ## 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: 16
  - eval_batch_size: 16
  - 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 | Accuracy |
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
  | 0.2659        | 1.0   | 153  | 0.3250          | 0.8429   |
  | 0.1191        | 2.0   | 306  | 0.5344          | 0.8380   |
  | 0.0074        | 3.0   | 459  | 0.8188          | 0.8396   |
  | 0.0001        | 4.0   | 612  | 0.9264          | 0.8462   |
  | 0.0001        | 5.0   | 765  | 0.9551          | 0.8462   |
  | 0.0001        | 6.0   | 918  | 0.9771          | 0.8527   |
  | 0.0001        | 7.0   | 1071 | 0.9937          | 0.8527   |
  | 0.0001        | 8.0   | 1224 | 1.0054          | 0.8560   |
  | 0.0           | 9.0   | 1377 | 1.0126          | 0.8560   |
  | 0.0001        | 10.0  | 1530 | 1.0150          | 0.8560   |
  
  
  ### Framework versions
  
  - Transformers 4.23.1
  - Pytorch 1.12.1+cu113
  - Datasets 2.6.1
  - Tokenizers 0.13.1
  