readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - precision
  - accuracy
  - f1
  model-index:
  - name: TESTING
    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. -->
  
  # TESTING
  
  This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilroberta-base) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.1167
  - Precision: 0.9561
  - Accuracy: 0.9592
  - F1: 0.9592
  
  ## 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: 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: 2
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Precision | Accuracy | F1     |
  |:-------------:|:-----:|:----:|:---------------:|:---------:|:--------:|:------:|
  | 0.5903        | 0.4   | 500  | 0.4695          | 0.7342    | 0.7728   | 0.7890 |
  | 0.3986        | 0.8   | 1000 | 0.3469          | 0.8144    | 0.8596   | 0.8684 |
  | 0.2366        | 1.2   | 1500 | 0.1939          | 0.9313    | 0.9260   | 0.9253 |
  | 0.1476        | 1.6   | 2000 | 0.1560          | 0.9207    | 0.9452   | 0.9465 |
  | 0.1284        | 2.0   | 2500 | 0.1167          | 0.9561    | 0.9592   | 0.9592 |
  
  
  ### Framework versions
  
  - Transformers 4.18.0
  - Pytorch 1.10.0+cu111
  - Datasets 2.1.0
  - Tokenizers 0.12.1
  