readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  datasets:
  - null
  model-index:
  - name: text-to-sparql-t5-small-2021-10-18_23-00
    results:
    - task:
        name: Sequence-to-sequence Language Modeling
        type: text2text-generation
  ---
  
  <!-- 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_23-00
  
  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: 0.2284
  - Gen Len: 19.0
  - Bertscorer-p: 0.5644
  - Bertscorer-r: 0.0815
  - Bertscorer-f1: 0.3120
  - Sacrebleu-score: 5.5690
  - Sacrebleu-precisions: [89.6746395837541, 79.06489438259324, 71.93407601726916, 67.21220306665607]
  - Bleu-bp: 0.0728
  
  ## 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: 0.0003
  - 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 | Bertscorer-p | Bertscorer-r | Bertscorer-f1 | Sacrebleu-score | Sacrebleu-precisions                                                        | Bleu-bp |
  |:-------------:|:-----:|:----:|:---------------:|:-------:|:------------:|:------------:|:-------------:|:---------------:|:---------------------------------------------------------------------------:|:-------:|
  | 0.2808        | 1.0   | 4772 | 0.2284          | 19.0    | 0.5644       | 0.0815       | 0.3120        | 5.5690          | [89.6746395837541, 79.06489438259324, 71.93407601726916, 67.21220306665607] | 0.0728  |
  
  
  ### Framework versions
  
  - Transformers 4.10.0
  - Pytorch 1.9.0+cu111
  - Datasets 1.13.3
  - Tokenizers 0.10.3
  