readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  datasets:
  - squad
  model-index:
  - name: distilbert-base-uncased-finetuned-squad
    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-finetuned-squad
  
  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the squad dataset.
  It achieves the following results on the evaluation set:
  - Loss: 2.1904
  
  ## 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: 0.0002
  - train_batch_size: 128
  - eval_batch_size: 128
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 6
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss |
  |:-------------:|:-----:|:----:|:---------------:|
  | 1.6224        | 1.0   | 692  | 1.1812          |
  | 1.0216        | 2.0   | 1384 | 1.2495          |
  | 0.5638        | 3.0   | 2076 | 1.3098          |
  | 0.3679        | 4.0   | 2768 | 1.6784          |
  | 0.2703        | 5.0   | 3460 | 1.8842          |
  | 0.1057        | 6.0   | 4152 | 2.1904          |
  
  
  ### Framework versions
  
  - Transformers 4.25.1
  - Pytorch 1.13.0+cu116
  - Datasets 2.7.1
  - Tokenizers 0.13.2
  