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: 0.1291
  - Accuracy: 0.9429
  
  ## 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 |
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
  | 1.2296        | 1.0   | 318  | 0.8290          | 0.7571   |
  | 0.6433        | 2.0   | 636  | 0.4200          | 0.8961   |
  | 0.3495        | 3.0   | 954  | 0.2493          | 0.9206   |
  | 0.2254        | 4.0   | 1272 | 0.1835          | 0.9335   |
  | 0.1726        | 5.0   | 1590 | 0.1576          | 0.9371   |
  | 0.1467        | 6.0   | 1908 | 0.1442          | 0.9423   |
  | 0.1318        | 7.0   | 2226 | 0.1360          | 0.9426   |
  | 0.1229        | 8.0   | 2544 | 0.1323          | 0.9435   |
  | 0.1185        | 9.0   | 2862 | 0.1299          | 0.9426   |
  | 0.1151        | 10.0  | 3180 | 0.1291          | 0.9429   |
  
  
  ### Framework versions
  
  - Transformers 4.21.1
  - Pytorch 1.12.1+cu113
  - Tokenizers 0.12.1
  