readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  datasets:
  - squad_v2_sv
  model-index:
  - name: flan-t5-base-squad-swe
    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. -->
  
  # flan-t5-base-squad-swe
  
  This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on the squad_v2_sv dataset.
  It achieves the following results on the evaluation set:
  - Loss: 1.4752
  
  ## 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: 4
  - eval_batch_size: 4
  - seed: 42
  - gradient_accumulation_steps: 16
  - total_train_batch_size: 64
  - 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 |
  |:-------------:|:-----:|:----:|:---------------:|
  | 1.8355        | 1.0   | 1779 | 1.6113          |
  | 1.6786        | 2.0   | 3558 | 1.5356          |
  | 1.628         | 3.0   | 5337 | 1.5008          |
  | 1.5948        | 4.0   | 7116 | 1.4818          |
  | 1.5823        | 5.0   | 8895 | 1.4752          |
  
  
  ### Framework versions
  
  - Transformers 4.25.1
  - Pytorch 1.13.0+cu116
  - Datasets 2.8.0
  - Tokenizers 0.13.2
  