readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  datasets:
  - squad
  metrics:
  - f1
  model-index:
  - name: t5-small-finetuned-squad-qgen
    results:
    - task:
        name: Sequence-to-sequence Language Modeling
        type: text2text-generation
      dataset:
        name: squad
        type: squad
        args: plain_text
      metrics:
      - name: F1
        type: f1
        value: 0.36430000148070146
  ---
  
  <!-- 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. -->
  
  # t5-small-finetuned-squad-qgen
  
  This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the squad dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.3805
  - Em: 0.0
  - F1: 0.3643
  
  ## 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: 5e-05
  - train_batch_size: 32
  - eval_batch_size: 32
  - 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 | Em  | F1     |
  |:-------------:|:-----:|:-----:|:---------------:|:---:|:------:|
  | 0.4449        | 1.0   | 2738  | 0.3992          | 0.0 | 0.3859 |
  | 0.4206        | 2.0   | 5476  | 0.3886          | 0.0 | 0.3781 |
  | 0.4092        | 3.0   | 8214  | 0.3837          | 0.0 | 0.3827 |
  | 0.4055        | 4.0   | 10952 | 0.3809          | 0.0 | 0.3747 |
  | 0.3997        | 5.0   | 13690 | 0.3805          | 0.0 | 0.3643 |
  
  
  ### Framework versions
  
  - Transformers 4.19.2
  - Pytorch 1.11.0+cu113
  - Datasets 2.2.2
  - Tokenizers 0.12.1
  