readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: sparql-qald9-t5-small-2021-10-19_22-32
    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-small-2021-10-19_22-32
  
  This model is a fine-tuned version of [yazdipour/text-to-sparql-t5-small-2021-10-19_10-17_lastDS](https://huggingface.co/yazdipour/text-to-sparql-t5-small-2021-10-19_10-17_lastDS) 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   | 2.4477          | 19.0    | 0.3797 | 0.0727 | 0.2219 | 9.3495     | [73.47751849743882, 49.595519601742375, 35.346602608098834, 26.243305279265492] | 0.2180  |
  
  
  ### Framework versions
  
  - Transformers 4.11.3
  - Pytorch 1.9.0+cu111
  - Datasets 1.14.0
  - Tokenizers 0.10.3
  