readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  datasets:
  - null
  metrics:
  - f1
  model-index:
  - name: text-to-sparql-t5-small-2021-10-18_09-32
    results:
    - task:
        name: Sequence-to-sequence Language Modeling
        type: text2text-generation
      metrics:
      - name: F1
        type: f1
        value: 0.26458749175071716
  ---
  
  <!-- 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. -->
  
  # text-to-sparql-t5-small-2021-10-18_09-32
  
  This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.5119
  - Gen Len: 19.0
  - P: 0.4884
  - R: 0.0583
  - F1: 0.2646
  - Score: 3.5425
  - Bleu-precisions: [82.80295919500207, 62.695879280325016, 50.2215675749897, 44.03052700138759]
  - Bleu-bp: 0.0609
  
  ## 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: 8
  - eval_batch_size: 8
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 1
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Gen Len | P      | R      | F1     | Score  | Bleu-precisions                                                              | Bleu-bp |
  |:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:------:|:------:|:------:|:----------------------------------------------------------------------------:|:-------:|
  | 0.7088        | 1.0   | 4772 | 0.5119          | 19.0    | 0.4884 | 0.0583 | 0.2646 | 3.5425 | [82.80295919500207, 62.695879280325016, 50.2215675749897, 44.03052700138759] | 0.0609  |
  
  
  ### Framework versions
  
  - Transformers 4.10.0
  - Pytorch 1.9.0+cu111
  - Datasets 1.13.3
  - Tokenizers 0.10.3
  