---
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