---
license: apache-2.0
tags:
- simplification
- generated_from_trainer
datasets:
- inglish
metrics:
- bleu
model-index:
- name: t5-small-inglish
  results:
  - task:
      name: Sequence-to-sequence Language Modeling
      type: text2text-generation
    dataset:
      name: inglish
      type: inglish
      config: default
      split: validation
      args: default
    metrics:
    - name: Bleu
      type: bleu
      value: 6.6396
---

<!-- 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. -->

# t5-small-inglish

This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the inglish dataset.
It achieves the following results on the evaluation set:
- Loss: 2.4875
- Bleu: 6.6396
- Gen Len: 18.706

## 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: 2

### Training results

| Training Loss | Epoch | Step | Validation Loss | Bleu   | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|
| 2.9396        | 1.0   | 1088 | 2.5632          | 6.0855 | 18.7222 |
| 2.7585        | 2.0   | 2176 | 2.4875          | 6.6396 | 18.706  |


### Framework versions

- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.10.1
- Tokenizers 0.13.2