readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - precision
  - recall
  - f1
  - accuracy
  model-index:
  - name: whispQuote-ChunkedDQ
    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. -->
  
  # whispQuote-ChunkedDQ
  
  This model is a fine-tuned version of [distilbert-base-cased](https://huggingface.co/distilbert-base-cased) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.2317
  - Precision: 0.6456
  - Recall: 0.8030
  - F1: 0.7157
  - Accuracy: 0.9241
  
  ## 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: 5
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
  | No log        | 1.0   | 162  | 0.3050          | 0.5572    | 0.6886 | 0.6159 | 0.8903   |
  | No log        | 2.0   | 324  | 0.2382          | 0.6363    | 0.7659 | 0.6951 | 0.9187   |
  | No log        | 3.0   | 486  | 0.2350          | 0.6420    | 0.7927 | 0.7094 | 0.9220   |
  | 0.3239        | 4.0   | 648  | 0.2303          | 0.6486    | 0.8012 | 0.7169 | 0.9228   |
  | 0.3239        | 5.0   | 810  | 0.2317          | 0.6456    | 0.8030 | 0.7157 | 0.9241   |
  
  
  ### Framework versions
  
  - Transformers 4.26.0
  - Pytorch 1.10.2+cu113
  - Datasets 2.9.0
  - Tokenizers 0.13.2
  