readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: distilbert-base-cased-hate-speech
    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. -->
  
  # distilbert-base-cased-hate-speech
  
  **Training:** The model has been trained using the script provided in the following repository https://github.com/MorenoLaQuatra/transformers-tasks-templates
  
  This model is a fine-tuned version of [distilbert-base-cased](https://huggingface.co/distilbert-base-cased) on [hate speech](https://huggingface.co/datasets/ucberkeley-dlab/measuring-hate-speech) dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.6837
  - Mae: 1.9686
  
  ## 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: 5e-05
  - train_batch_size: 32
  - eval_batch_size: 32
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - lr_scheduler_warmup_steps: 500
  - num_epochs: 10
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step  | Validation Loss | Mae    |
  |:-------------:|:-----:|:-----:|:---------------:|:------:|
  | 0.6857        | 1.0   | 3389  | 0.6471          | 1.9725 |
  | 0.3645        | 2.0   | 6778  | 0.4359          | 1.9725 |
  | 0.2266        | 3.0   | 10167 | 0.3664          | 1.9725 |
  | 0.1476        | 4.0   | 13556 | 0.3253          | 1.9725 |
  | 0.0992        | 5.0   | 16945 | 0.3047          | 1.9725 |
  | 0.0737        | 6.0   | 20334 | 0.2869          | 1.9725 |
  | 0.0537        | 7.0   | 23723 | 0.2709          | 1.9725 |
  | 0.0458        | 8.0   | 27112 | 0.2667          | 1.9725 |
  | 0.0313        | 9.0   | 30501 | 0.2589          | 1.9725 |
  | 0.027         | 10.0  | 33890 | 0.2540          | 1.9725 |
  
  
  ### Framework versions
  
  - Transformers 4.22.1
  - Pytorch 1.11.0+cu113
  - Datasets 2.0.0
  - Tokenizers 0.11.6
  