readme: ---
  license: agpl-3.0
  tags:
  - generated_from_trainer
  datasets:
  - icelandic-qa-n_qi_i
  model-index:
  - name: IceBERT-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. -->
  
  # IceBERT-finetuned-squad
  
  This model is a fine-tuned version of [mideind/IceBERT](https://huggingface.co/mideind/IceBERT) on the icelandic-qa-n_qi_i dataset.
  It achieves the following results on the evaluation set:
  - Loss: 1.5873
  
  ## 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 |
  |:-------------:|:-----:|:----:|:---------------:|
  | No log        | 1.0   | 293  | 1.7911          |
  | 2.0115        | 2.0   | 586  | 1.5817          |
  | 2.0115        | 3.0   | 879  | 1.5305          |
  | 1.0251        | 4.0   | 1172 | 1.5244          |
  | 1.0251        | 5.0   | 1465 | 1.5873          |
  
  
  ### Framework versions
  
  - Transformers 4.26.0
  - Pytorch 1.13.1+cu117
  - Datasets 2.9.0
  - Tokenizers 0.13.2
  