readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - f1
  model-index:
  - name: edos-2023-baseline-bert-base-uncased-label_sexist
    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. -->
  
  # edos-2023-baseline-bert-base-uncased-label_sexist
  
  This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.0519
  - F1: 0.9825
  
  ## 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: 1e-05
  - train_batch_size: 16
  - 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: 5
  - num_epochs: 5
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | F1     |
  |:-------------:|:-----:|:----:|:---------------:|:------:|
  | 0.4448        | 0.57  | 400  | 0.3022          | 0.8232 |
  | 0.3283        | 1.14  | 800  | 0.2306          | 0.8786 |
  | 0.2588        | 1.71  | 1200 | 0.1721          | 0.9149 |
  | 0.2169        | 2.29  | 1600 | 0.1420          | 0.9338 |
  | 0.1855        | 2.86  | 2000 | 0.0976          | 0.9556 |
  | 0.139         | 3.43  | 2400 | 0.0724          | 0.9718 |
  | 0.1276        | 4.0   | 2800 | 0.0552          | 0.9785 |
  | 0.0943        | 4.57  | 3200 | 0.0519          | 0.9825 |
  
  
  ### Framework versions
  
  - Transformers 4.24.0
  - Pytorch 1.13.0+cu117
  - Datasets 2.7.1
  - Tokenizers 0.13.2
  