readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  datasets:
  - becasv2
  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 becasv2 dataset.
  It achieves the following results on the evaluation set:
  - Loss: 4.0087
  
  ## 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: 20
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss |
  |:-------------:|:-----:|:----:|:---------------:|
  | No log        | 1.0   | 5    | 5.5219          |
  | No log        | 2.0   | 10   | 4.9747          |
  | No log        | 3.0   | 15   | 4.5448          |
  | No log        | 4.0   | 20   | 4.1843          |
  | No log        | 5.0   | 25   | 3.8491          |
  | No log        | 6.0   | 30   | 3.6789          |
  | No log        | 7.0   | 35   | 3.5018          |
  | No log        | 8.0   | 40   | 3.4254          |
  | No log        | 9.0   | 45   | 3.4566          |
  | No log        | 10.0  | 50   | 3.4326          |
  | No log        | 11.0  | 55   | 3.5741          |
  | No log        | 12.0  | 60   | 3.5260          |
  | No log        | 13.0  | 65   | 3.7003          |
  | No log        | 14.0  | 70   | 3.7499          |
  | No log        | 15.0  | 75   | 3.7961          |
  | No log        | 16.0  | 80   | 3.8578          |
  | No log        | 17.0  | 85   | 3.9928          |
  | No log        | 18.0  | 90   | 4.0305          |
  | No log        | 19.0  | 95   | 4.0024          |
  | No log        | 20.0  | 100  | 4.0087          |
  
  
  ### Framework versions
  
  - Transformers 4.20.1
  - Pytorch 1.11.0+cu113
  - Datasets 2.3.2
  - Tokenizers 0.12.1
  