readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - accuracy
  model-index:
  - name: distilbert-base-uncased-distilled-clinc
    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-uncased-distilled-clinc
  
  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: 0.0272
  - Accuracy: 0.9287
  
  ## 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: 48
  - eval_batch_size: 48
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 10
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
  | No log        | 1.0   | 318  | 0.2337          | 0.6274   |
  | 0.3698        | 2.0   | 636  | 0.1052          | 0.8458   |
  | 0.3698        | 3.0   | 954  | 0.0650          | 0.8935   |
  | 0.1216        | 4.0   | 1272 | 0.0476          | 0.9068   |
  | 0.0727        | 5.0   | 1590 | 0.0386          | 0.9181   |
  | 0.0727        | 6.0   | 1908 | 0.0336          | 0.9219   |
  | 0.0556        | 7.0   | 2226 | 0.0305          | 0.9229   |
  | 0.0477        | 8.0   | 2544 | 0.0287          | 0.9287   |
  | 0.0477        | 9.0   | 2862 | 0.0276          | 0.9274   |
  | 0.0441        | 10.0  | 3180 | 0.0272          | 0.9287   |
  
  
  ### Framework versions
  
  - Transformers 4.24.0
  - Pytorch 1.12.1+cu113
  - Tokenizers 0.13.2
  