readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - precision
  - recall
  - f1
  - accuracy
  model-index:
  - name: whispQuote-ChunkDQ-DistilBERT
    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-ChunkDQ-DistilBERT
  
  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: 0.2582
  - Precision: 0.5816
  - Recall: 0.8129
  - F1: 0.6780
  - Accuracy: 0.9126
  
  ## 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   | 164  | 0.3432          | 0.4477    | 0.5795 | 0.5052 | 0.8796   |
  | No log        | 2.0   | 328  | 0.3053          | 0.4308    | 0.6985 | 0.5329 | 0.8952   |
  | No log        | 3.0   | 492  | 0.2602          | 0.5716    | 0.7775 | 0.6588 | 0.9097   |
  | 0.3826        | 4.0   | 656  | 0.2607          | 0.5664    | 0.8070 | 0.6656 | 0.9114   |
  | 0.3826        | 5.0   | 820  | 0.2582          | 0.5816    | 0.8129 | 0.6780 | 0.9126   |
  
  
  ### Framework versions
  
  - Transformers 4.26.0
  - Pytorch 1.10.2+cu113
  - Datasets 2.9.0
  - Tokenizers 0.13.2
  