readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - rouge
  model-index:
  - name: postocr
    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. -->
  
  # postocr
  
  This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 3.6609
  - Rouge1: 0.2717
  - Rouge2: 0.1966
  - Rougel: 0.2594
  - Rougelsum: 0.2598
  - Gen Len: 18.0
  
  ## 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: 2e-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: 4
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
  |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
  | No log        | 1.0   | 14   | 4.7292          | 0.2321 | 0.1661 | 0.2209 | 0.2221    | 14.1071 |
  | No log        | 2.0   | 28   | 4.0432          | 0.2301 | 0.1651 | 0.2204 | 0.2212    | 14.1429 |
  | No log        | 3.0   | 42   | 3.7615          | 0.27   | 0.1966 | 0.2575 | 0.258     | 18.0893 |
  | No log        | 4.0   | 56   | 3.6609          | 0.2717 | 0.1966 | 0.2594 | 0.2598    | 18.0    |
  
  
  ### Framework versions
  
  - Transformers 4.25.1
  - Pytorch 1.13.0+cu116
  - Datasets 2.8.0
  - Tokenizers 0.13.2
  