readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - f1
  model-index:
  - name: sbi-model
    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
  
  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: 0.5290
  - F1: 0.8211
  
  ## 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     |
  |:-------------:|:-----:|:----:|:---------------:|:------:|
  | 1.813         | 1.0   | 40   | 1.5304          | 0.5227 |
  | 1.2312        | 2.0   | 80   | 0.9138          | 0.7439 |
  | 0.7428        | 3.0   | 120  | 0.6869          | 0.7518 |
  | 0.5055        | 4.0   | 160  | 0.5766          | 0.8050 |
  | 0.3581        | 5.0   | 200  | 0.5454          | 0.8052 |
  | 0.2664        | 6.0   | 240  | 0.5208          | 0.8200 |
  | 0.2145        | 7.0   | 280  | 0.5218          | 0.8241 |
  | 0.1853        | 8.0   | 320  | 0.5290          | 0.8211 |
  
  
  ### Framework versions
  
  - Transformers 4.22.1
  - Pytorch 1.12.1+cu113
  - Tokenizers 0.12.1
  