readme: ---
  license: cc
  tags:
  - generated_from_trainer
  metrics:
  - f1
  model-index:
  - name: racism-finetuned-detests-02-11-2022
    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-02-11-2022
  
  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: 0.8819
  - F1: 0.6199
  
  ## 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: 64
  - eval_batch_size: 64
  - 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     |
  |:-------------:|:-----:|:----:|:---------------:|:------:|
  | 0.3032        | 0.64  | 25   | 0.3482          | 0.6434 |
  | 0.1132        | 1.28  | 50   | 0.3707          | 0.6218 |
  | 0.1253        | 1.92  | 75   | 0.4004          | 0.6286 |
  | 0.0064        | 2.56  | 100  | 0.6223          | 0.6254 |
  | 0.0007        | 3.21  | 125  | 0.7347          | 0.6032 |
  | 0.0006        | 3.85  | 150  | 0.7705          | 0.6312 |
  | 0.0004        | 4.49  | 175  | 0.7988          | 0.6304 |
  | 0.0003        | 5.13  | 200  | 0.8206          | 0.6255 |
  | 0.0003        | 5.77  | 225  | 0.8371          | 0.6097 |
  | 0.0003        | 6.41  | 250  | 0.8503          | 0.6148 |
  | 0.0003        | 7.05  | 275  | 0.8610          | 0.6148 |
  | 0.0002        | 7.69  | 300  | 0.8693          | 0.6199 |
  | 0.0002        | 8.33  | 325  | 0.8755          | 0.6199 |
  | 0.0002        | 8.97  | 350  | 0.8797          | 0.6199 |
  | 0.0002        | 9.62  | 375  | 0.8819          | 0.6199 |
  
  
  ### Framework versions
  
  - Transformers 4.24.0
  - Pytorch 1.12.1+cu113
  - Datasets 2.6.1
  - Tokenizers 0.13.1
  