readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  datasets:
  - squad_v2_sv
  model-index:
  - name: flan-t5-base-squad-swe2
    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-swe2
  
  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: 1.4248
  
  ## 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: 32
  - eval_batch_size: 32
  - seed: 42
  - gradient_accumulation_steps: 4
  - total_train_batch_size: 128
  - 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 |
  |:-------------:|:-----:|:----:|:---------------:|
  | 2.0881        | 1.0   | 890  | 1.6422          |
  | 1.7772        | 2.0   | 1780 | 1.5586          |
  | 1.6763        | 3.0   | 2670 | 1.5153          |
  | 1.6215        | 4.0   | 3560 | 1.4852          |
  | 1.5912        | 5.0   | 4450 | 1.4629          |
  | 1.5651        | 6.0   | 5340 | 1.4481          |
  | 1.5407        | 7.0   | 6230 | 1.4374          |
  | 1.5278        | 8.0   | 7120 | 1.4308          |
  | 1.5137        | 9.0   | 8010 | 1.4269          |
  | 1.5116        | 10.0  | 8900 | 1.4248          |
  
  
  ### Framework versions
  
  - Transformers 4.25.1
  - Pytorch 1.13.0+cu116
  - Datasets 2.8.0
  - Tokenizers 0.13.2
  