---
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: speller-t5
  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. -->

# speller-t5

This model is a fine-tuned version of [summervent/speller-t5](https://huggingface.co/summervent/speller-t5) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3569
- Rouge1: 14.5717
- Rouge2: 5.4522
- Rougel: 14.6057
- Rougelsum: 14.7357
- Gen Len: 30.8324

## 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: 5e-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: 1
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2 | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
| 0.6467        | 0.22  | 1500 | 0.3569          | 14.5717 | 5.4522 | 14.6057 | 14.7357   | 30.8324 |
| 0.6408        | 0.44  | 3000 | 0.3569          | 14.5717 | 5.4522 | 14.6057 | 14.7357   | 30.8324 |
| 0.6343        | 0.66  | 4500 | 0.3569          | 14.5717 | 5.4522 | 14.6057 | 14.7357   | 30.8324 |
| 0.6372        | 0.87  | 6000 | 0.3569          | 14.5717 | 5.4522 | 14.6057 | 14.7357   | 30.8324 |


### Framework versions

- Transformers 4.26.0
- Pytorch 1.13.1+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2