readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: sparql-qald9-t5-base-2021-10-19_00-15
    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. -->
  
  # sparql-qald9-t5-base-2021-10-19_00-15
  
  This model is a fine-tuned version of [yazdipour/text-to-sparql-t5-base-2021-10-18_16-15](https://huggingface.co/yazdipour/text-to-sparql-t5-base-2021-10-18_16-15) on the None dataset.
  
  ## 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 | P      | R      | F1     | Bleu-score | Bleu-precisions                                                               | Bleu-bp |
  |:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:------:|:------:|:----------:|:-----------------------------------------------------------------------------:|:-------:|
  | No log        | 1.0   | 51   | 1.8998          | 19.0    | 0.3634 | 0.0387 | 0.1963 | 9.9428     | [71.94645844952593, 49.30006086427267, 35.36503683858004, 28.145941921072225] | 0.2294  |
  
  
  ### Framework versions
  
  - Transformers 4.11.3
  - Pytorch 1.9.0+cu111
  - Datasets 1.13.3
  - Tokenizers 0.10.3
  