readme: ---
  license: cc-by-4.0
  tags:
  - generated_from_trainer
  model-index:
  - name: roberta-base-squad2-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. -->
  
  # roberta-base-squad2-finetuned-squad
  
  This model is a fine-tuned version of [deepset/roberta-base-squad2](https://huggingface.co/deepset/roberta-base-squad2) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 5.0220
  
  ## 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: 0.0001
  - 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: 30
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss |
  |:-------------:|:-----:|:----:|:---------------:|
  | No log        | 1.0   | 74   | 1.7148          |
  | No log        | 2.0   | 148  | 1.6994          |
  | No log        | 3.0   | 222  | 1.7922          |
  | No log        | 4.0   | 296  | 1.9947          |
  | No log        | 5.0   | 370  | 2.0753          |
  | No log        | 6.0   | 444  | 2.2096          |
  | 0.9547        | 7.0   | 518  | 2.3070          |
  | 0.9547        | 8.0   | 592  | 2.6947          |
  | 0.9547        | 9.0   | 666  | 2.7169          |
  | 0.9547        | 10.0  | 740  | 2.8503          |
  | 0.9547        | 11.0  | 814  | 3.1990          |
  | 0.9547        | 12.0  | 888  | 3.4931          |
  | 0.9547        | 13.0  | 962  | 3.6575          |
  | 0.3191        | 14.0  | 1036 | 3.1863          |
  | 0.3191        | 15.0  | 1110 | 3.7922          |
  | 0.3191        | 16.0  | 1184 | 3.6336          |
  | 0.3191        | 17.0  | 1258 | 4.1156          |
  | 0.3191        | 18.0  | 1332 | 4.1353          |
  | 0.3191        | 19.0  | 1406 | 3.9888          |
  | 0.3191        | 20.0  | 1480 | 4.4290          |
  | 0.1904        | 21.0  | 1554 | 4.0473          |
  | 0.1904        | 22.0  | 1628 | 4.5048          |
  | 0.1904        | 23.0  | 1702 | 4.4026          |
  | 0.1904        | 24.0  | 1776 | 4.2864          |
  | 0.1904        | 25.0  | 1850 | 4.3941          |
  | 0.1904        | 26.0  | 1924 | 4.4921          |
  | 0.1904        | 27.0  | 1998 | 4.9139          |
  | 0.1342        | 28.0  | 2072 | 4.8914          |
  | 0.1342        | 29.0  | 2146 | 5.0148          |
  | 0.1342        | 30.0  | 2220 | 5.0220          |
  
  
  ### Framework versions
  
  - Transformers 4.11.0
  - Pytorch 1.9.0+cu102
  - Datasets 1.12.1
  - Tokenizers 0.10.3
  