readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  datasets:
  - squad
  model-index:
  - name: single_label_N_max_long_training
    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. -->
  
  # single_label_N_max_long_training
  
  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: 2.8288
  
  ## 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: 10
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss |
  |:-------------:|:-----:|:----:|:---------------:|
  | 3.0568        | 1.0   | 674  | 1.9993          |
  | 1.6024        | 2.0   | 1348 | 1.8497          |
  | 1.0196        | 3.0   | 2022 | 1.9178          |
  | 0.7622        | 4.0   | 2696 | 2.0412          |
  | 0.6066        | 5.0   | 3370 | 2.2523          |
  | 0.4136        | 6.0   | 4044 | 2.3845          |
  | 0.3113        | 7.0   | 4718 | 2.5712          |
  | 0.2777        | 8.0   | 5392 | 2.6790          |
  | 0.208         | 9.0   | 6066 | 2.7464          |
  | 0.1749        | 10.0  | 6740 | 2.8288          |
  
  
  ### Framework versions
  
  - Transformers 4.18.0
  - Pytorch 1.11.0+cu113
  - Datasets 2.2.1
  - Tokenizers 0.12.1
  