readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - rouge
  model-index:
  - name: underline_to_emphasis_model
    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. -->
  
  # underline_to_emphasis_model
  
  This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: nan
  - Rouge1: 0.1835
  - Rouge2: 0.0654
  - Rougel: 0.1525
  - Rougelsum: 0.1523
  - Gen Len: 18.4918
  
  ## 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: 4
  - eval_batch_size: 4
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 4
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
  |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
  | No log        | 1.0   | 35   | nan             | 0.1835 | 0.0654 | 0.1525 | 0.1523    | 18.4918 |
  | No log        | 2.0   | 70   | nan             | 0.1835 | 0.0654 | 0.1525 | 0.1523    | 18.4918 |
  | No log        | 3.0   | 105  | nan             | 0.1835 | 0.0654 | 0.1525 | 0.1523    | 18.4918 |
  | No log        | 4.0   | 140  | nan             | 0.1835 | 0.0654 | 0.1525 | 0.1523    | 18.4918 |
  
  
  ### Framework versions
  
  - Transformers 4.26.0
  - Pytorch 1.13.1+cu116
  - Datasets 2.9.0
  - Tokenizers 0.13.2
  