readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - f1
  model-index:
  - name: sbi-model-223
    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. -->
  
  # sbi-model-223
  
  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.5459
  - F1: 0.8781
  
  ## 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: 8
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | F1     |
  |:-------------:|:-----:|:----:|:---------------:|:------:|
  | 0.146         | 1.0   | 38   | 0.5014          | 0.8525 |
  | 0.0779        | 2.0   | 76   | 0.4644          | 0.8862 |
  | 0.0432        | 3.0   | 114  | 0.5182          | 0.8811 |
  | 0.0319        | 4.0   | 152  | 0.5121          | 0.8865 |
  | 0.0356        | 5.0   | 190  | 0.5107          | 0.8894 |
  | 0.024         | 6.0   | 228  | 0.5146          | 0.8867 |
  | 0.0288        | 7.0   | 266  | 0.5281          | 0.8781 |
  | 0.0277        | 8.0   | 304  | 0.5459          | 0.8781 |
  
  
  ### Framework versions
  
  - Transformers 4.23.1
  - Pytorch 1.12.1+cu113
  - Tokenizers 0.13.1
  