readme: ---
  license: apache-2.0
  tags:
  - simplification
  - generated_from_trainer
  metrics:
  - sacrebleu
  model-index:
  - name: flan-t5-base-finetuned-asset
    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. -->
  
  # flan-t5-base-finetuned-asset
  
  This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 1.0893
  - Sacrebleu: 33.7742
  - Sari: 45.2489
  
  ## 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: 5.6e-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: 8
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Sacrebleu | Sari    |
  |:-------------:|:-----:|:----:|:---------------:|:---------:|:-------:|
  | 1.0765        | 1.0   | 250  | 1.0230          | 34.5435   | 45.2730 |
  | 0.9067        | 2.0   | 500  | 1.0169          | 33.6148   | 44.5945 |
  | 0.8068        | 3.0   | 750  | 1.0270          | 33.8597   | 44.7092 |
  | 0.7397        | 4.0   | 1000 | 1.0406          | 33.7544   | 45.0457 |
  | 0.6876        | 5.0   | 1250 | 1.0563          | 33.6790   | 45.0918 |
  | 0.6452        | 6.0   | 1500 | 1.0748          | 33.3981   | 44.9780 |
  | 0.62          | 7.0   | 1750 | 1.0872          | 33.7404   | 45.0941 |
  | 0.6023        | 8.0   | 2000 | 1.0893          | 33.7742   | 45.2489 |
  
  
  ### Framework versions
  
  - Transformers 4.25.1
  - Pytorch 1.13.0+cu116
  - Datasets 2.8.0
  - Tokenizers 0.13.2
  