readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - bleu
  model-index:
  - name: t5-small-finetuned-text2log-finetuned-nl-to-fol-finetuned-nl-to-fol-finetuned-nl-to-fol-version2
    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. -->
  
  # t5-small-finetuned-text2log-finetuned-nl-to-fol-finetuned-nl-to-fol-finetuned-nl-to-fol-version2
  
  This model is a fine-tuned version of [anki08/t5-small-finetuned-text2log-finetuned-nl-to-fol-finetuned-nl-to-fol](https://huggingface.co/anki08/t5-small-finetuned-text2log-finetuned-nl-to-fol-finetuned-nl-to-fol) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.0069
  - Bleu: 28.1311
  - Gen Len: 18.7412
  
  ## 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: 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: 100
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Bleu    | Gen Len |
  |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
  | No log        | 1.0   | 22   | 0.0692          | 27.4908 | 18.7353 |
  | No log        | 2.0   | 44   | 0.0631          | 27.554  | 18.7294 |
  | No log        | 3.0   | 66   | 0.0533          | 27.6007 | 18.7294 |
  | No log        | 4.0   | 88   | 0.0484          | 27.6446 | 18.7294 |
  | No log        | 5.0   | 110  | 0.0439          | 27.6401 | 18.7294 |
  | No log        | 6.0   | 132  | 0.0404          | 27.5117 | 18.7294 |
  | No log        | 7.0   | 154  | 0.0389          | 27.6358 | 18.7294 |
  | No log        | 8.0   | 176  | 0.0362          | 27.6358 | 18.7294 |
  | No log        | 9.0   | 198  | 0.0339          | 27.5731 | 18.7294 |
  | No log        | 10.0  | 220  | 0.0319          | 27.2326 | 18.6882 |
  | No log        | 11.0  | 242  | 0.0298          | 27.2326 | 18.6882 |
  | No log        | 12.0  | 264  | 0.0293          | 27.5498 | 18.7294 |
  | No log        | 13.0  | 286  | 0.0276          | 27.6566 | 18.7294 |
  | No log        | 14.0  | 308  | 0.0268          | 27.6566 | 18.7294 |
  | No log        | 15.0  | 330  | 0.0251          | 27.6107 | 18.7294 |
  | No log        | 16.0  | 352  | 0.0239          | 27.7096 | 18.7294 |
  | No log        | 17.0  | 374  | 0.0228          | 27.6716 | 18.7294 |
  | No log        | 18.0  | 396  | 0.0231          | 27.8083 | 18.7294 |
  | No log        | 19.0  | 418  | 0.0218          | 27.4838 | 18.6882 |
  | No log        | 20.0  | 440  | 0.0212          | 27.4712 | 18.6882 |
  | No log        | 21.0  | 462  | 0.0197          | 27.8787 | 18.7353 |
  | No log        | 22.0  | 484  | 0.0207          | 27.6899 | 18.6941 |
  | 0.1026        | 23.0  | 506  | 0.0186          | 27.6376 | 18.6941 |
  | 0.1026        | 24.0  | 528  | 0.0202          | 27.6672 | 18.6941 |
  | 0.1026        | 25.0  | 550  | 0.0174          | 28.0172 | 18.7412 |
  | 0.1026        | 26.0  | 572  | 0.0170          | 27.8714 | 18.7412 |
  | 0.1026        | 27.0  | 594  | 0.0164          | 27.7423 | 18.7412 |
  | 0.1026        | 28.0  | 616  | 0.0164          | 27.8278 | 18.7412 |
  | 0.1026        | 29.0  | 638  | 0.0163          | 27.8278 | 18.7412 |
  | 0.1026        | 30.0  | 660  | 0.0158          | 27.907  | 18.7412 |
  | 0.1026        | 31.0  | 682  | 0.0165          | 27.7752 | 18.7412 |
  | 0.1026        | 32.0  | 704  | 0.0147          | 27.8284 | 18.7412 |
  | 0.1026        | 33.0  | 726  | 0.0150          | 27.8862 | 18.7412 |
  | 0.1026        | 34.0  | 748  | 0.0148          | 27.8402 | 18.7412 |
  | 0.1026        | 35.0  | 770  | 0.0141          | 27.8353 | 18.7412 |
  | 0.1026        | 36.0  | 792  | 0.0142          | 27.858  | 18.7412 |
  | 0.1026        | 37.0  | 814  | 0.0143          | 27.858  | 18.7412 |
  | 0.1026        | 38.0  | 836  | 0.0158          | 27.8353 | 18.7412 |
  | 0.1026        | 39.0  | 858  | 0.0125          | 27.8913 | 18.7412 |
  | 0.1026        | 40.0  | 880  | 0.0121          | 27.9167 | 18.7412 |
  | 0.1026        | 41.0  | 902  | 0.0122          | 27.9569 | 18.7412 |
  | 0.1026        | 42.0  | 924  | 0.0126          | 27.9569 | 18.7412 |
  | 0.1026        | 43.0  | 946  | 0.0120          | 28.001  | 18.7412 |
  | 0.1026        | 44.0  | 968  | 0.0125          | 28.0079 | 18.7412 |
  | 0.1026        | 45.0  | 990  | 0.0115          | 28.0079 | 18.7412 |
  | 0.072         | 46.0  | 1012 | 0.0113          | 27.9851 | 18.7412 |
  | 0.072         | 47.0  | 1034 | 0.0113          | 28.0184 | 18.7412 |
  | 0.072         | 48.0  | 1056 | 0.0110          | 28.0184 | 18.7412 |
  | 0.072         | 49.0  | 1078 | 0.0108          | 28.0184 | 18.7412 |
  | 0.072         | 50.0