readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - bleu
  model-index:
  - name: t5-small-finetuned-text2log-finetuned-nl-to-fol
    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
  
  This model is a fine-tuned version of [mrm8488/t5-small-finetuned-text2log](https://huggingface.co/mrm8488/t5-small-finetuned-text2log) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.0267
  - Bleu: 36.0754
  - Gen Len: 18.6964
  
  ## 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: 200
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Bleu    | Gen Len |
  |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
  | No log        | 1.0   | 14   | 1.8310          | 1.6355  | 11.0    |
  | No log        | 2.0   | 28   | 1.0849          | 18.3378 | 18.8661 |
  | No log        | 3.0   | 42   | 0.8576          | 25.1889 | 18.7411 |
  | No log        | 4.0   | 56   | 0.7132          | 26.484  | 18.7589 |
  | No log        | 5.0   | 70   | 0.5993          | 26.645  | 18.7054 |
  | No log        | 6.0   | 84   | 0.5101          | 26.1493 | 18.6964 |
  | No log        | 7.0   | 98   | 0.4494          | 26.0154 | 18.7054 |
  | No log        | 8.0   | 112  | 0.4026          | 28.7807 | 18.7054 |
  | No log        | 9.0   | 126  | 0.3672          | 28.3994 | 18.7054 |
  | No log        | 10.0  | 140  | 0.3403          | 28.6664 | 18.6429 |
  | No log        | 11.0  | 154  | 0.3181          | 29.5906 | 18.7321 |
  | No log        | 12.0  | 168  | 0.3000          | 30.4838 | 18.7857 |
  | No log        | 13.0  | 182  | 0.2870          | 29.3458 | 18.6964 |
  | No log        | 14.0  | 196  | 0.2731          | 28.5458 | 18.6429 |
  | No log        | 15.0  | 210  | 0.2582          | 31.0445 | 18.6429 |
  | No log        | 16.0  | 224  | 0.2491          | 31.14   | 18.6964 |
  | No log        | 17.0  | 238  | 0.2367          | 30.9688 | 18.7054 |
  | No log        | 18.0  | 252  | 0.2262          | 31.2437 | 18.7054 |
  | No log        | 19.0  | 266  | 0.2206          | 30.6938 | 18.6518 |
  | No log        | 20.0  | 280  | 0.2137          | 31.1833 | 18.7054 |
  | No log        | 21.0  | 294  | 0.2043          | 31.1204 | 18.7054 |
  | No log        | 22.0  | 308  | 0.1978          | 31.9392 | 18.7054 |
  | No log        | 23.0  | 322  | 0.1915          | 31.9986 | 18.7054 |
  | No log        | 24.0  | 336  | 0.1850          | 32.4128 | 18.7054 |
  | No log        | 25.0  | 350  | 0.1789          | 32.2531 | 18.7054 |
  | No log        | 26.0  | 364  | 0.1716          | 31.5966 | 18.7054 |
  | No log        | 27.0  | 378  | 0.1670          | 31.4045 | 18.7054 |
  | No log        | 28.0  | 392  | 0.1631          | 31.6554 | 18.7054 |
  | No log        | 29.0  | 406  | 0.1575          | 31.6052 | 18.7054 |
  | No log        | 30.0  | 420  | 0.1530          | 31.6284 | 18.7054 |
  | No log        | 31.0  | 434  | 0.1500          | 31.6599 | 18.7054 |
  | No log        | 32.0  | 448  | 0.1449          | 32.2263 | 18.7054 |
  | No log        | 33.0  | 462  | 0.1409          | 31.7732 | 18.7054 |
  | No log        | 34.0  | 476  | 0.1385          | 31.6335 | 18.7054 |
  | No log        | 35.0  | 490  | 0.1323          | 31.5864 | 18.7054 |
  | 0.5638        | 36.0  | 504  | 0.1300          | 31.8469 | 18.7054 |
  | 0.5638        | 37.0  | 518  | 0.1294          | 31.571  | 18.6964 |
  | 0.5638        | 38.0  | 532  | 0.1255          | 31.6656 | 18.6964 |
  | 0.5638        | 39.0  | 546  | 0.1239          | 31.6699 | 18.6964 |
  | 0.5638        | 40.0  | 560  | 0.1223          | 31.6207 | 18.6964 |
  | 0.5638        | 41.0  | 574  | 0.1179          | 31.7496 | 18.6964 |
  | 0.5638        | 42.0  | 588  | 0.1155          | 31.8694 | 18.6964 |
  | 0.5638        | 43.0  | 602  | 0.1139          | 31.8661 | 18.6696 |
  | 0.5638        | 44.0  | 616  | 0.1119          | 31.9764 | 18.6964 |
  | 0.5638        | 45.0  | 630  | 0.1097          | 31.9264 | 18.6964 |
  | 0.5638        | 46.0  | 644  | 0.1077          | 31.8732 | 18.6964 |
  | 0.5638        | 47.0  | 658  | 0.1065          | 32.1597 | 18.6964 |
  | 0.5638        | 48.0  | 672  | 0.1046          | 31.984  | 18.6964 |
  | 0.5638        | 49.0  | 686  | 0.1059          | 32.0725 | 18.6964 |
  | 0.5638        | 50.0  | 700  | 0.1009          | 31.9764 | 18.6964 |
  | 0.5638        | 51.0  | 714  | 0.1010          | 31.9335 | 18.6964 |
  | 0.5638        | 52.0  | 728  | 0.1007          | 31.94