readme: ---
  license: apache-2.0
  tags:
  - simplification
  - generated_from_trainer
  metrics:
  - sacrebleu
  model-index:
  - name: flan-t5-large-finetuned-pwkp_mini_gpt3_trained
    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-large-finetuned-pwkp_mini_gpt3_trained
  
  This model is a fine-tuned version of [google/flan-t5-large](https://huggingface.co/google/flan-t5-large) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.7598
  - Sacrebleu: 20.5963
  
  ## 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: 16
  - eval_batch_size: 16
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 6
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Sacrebleu |
  |:-------------:|:-----:|:----:|:---------------:|:---------:|
  | 0.9396        | 1.0   | 585  | 0.7478          | 19.4630   |
  | 0.7687        | 2.0   | 1170 | 0.7293          | 20.1068   |
  | 0.6698        | 3.0   | 1755 | 0.7334          | 19.9754   |
  | 0.6           | 4.0   | 2340 | 0.7408          | 20.4317   |
  | 0.5532        | 5.0   | 2925 | 0.7520          | 20.8024   |
  | 0.5234        | 6.0   | 3510 | 0.7598          | 20.5963   |
  
  
  ### Framework versions
  
  - Transformers 4.25.1
  - Pytorch 1.13.1+cu116
  - Datasets 2.8.0
  - Tokenizers 0.13.2
  