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
    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
  
  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: 0.1468
  - Bleu: 30.3266
  - Gen Len: 18.8824
  
  ## 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: 10
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Bleu    | Gen Len |
  |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
  | No log        | 1.0   | 17   | 0.1486          | 30.3537 | 18.8824 |
  | No log        | 2.0   | 34   | 0.1474          | 30.2522 | 18.8824 |
  | No log        | 3.0   | 51   | 0.1465          | 30.2522 | 18.8824 |
  | No log        | 4.0   | 68   | 0.1461          | 30.2522 | 18.8824 |
  | No log        | 5.0   | 85   | 0.1469          | 30.2522 | 18.8824 |
  | No log        | 6.0   | 102  | 0.1457          | 29.8889 | 18.8824 |
  | No log        | 7.0   | 119  | 0.1470          | 30.3537 | 18.8824 |
  | No log        | 8.0   | 136  | 0.1469          | 30.3537 | 18.8824 |
  | No log        | 9.0   | 153  | 0.1469          | 30.3266 | 18.8824 |
  | No log        | 10.0  | 170  | 0.1468          | 30.3266 | 18.8824 |
  
  
  ### Framework versions
  
  - Transformers 4.21.1
  - Pytorch 1.12.1+cu113
  - Datasets 2.4.0
  - Tokenizers 0.12.1
  