---
license: apache-2.0
base_model: google/flan-t5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: flan-t5-small-lit-simplif
  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-small-lit-simplif

This model is a fine-tuned version of [google/flan-t5-small](https://huggingface.co/google/flan-t5-small) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8832
- Rouge1: 57.5616
- Rouge2: 43.0588
- Rougel: 54.6246
- Rougelsum: 54.8382
- Gen Len: 18.4914

## 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: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 1.3943        | 1.0   | 698  | 1.0480          | 57.3763 | 43.1329 | 54.1155 | 54.4964   | 18.6571 |
| 1.1857        | 2.0   | 1396 | 0.9521          | 57.315  | 43.2483 | 54.4032 | 54.7664   | 18.6771 |
| 1.0406        | 3.0   | 2094 | 0.9075          | 57.6951 | 43.4451 | 54.8174 | 55.0469   | 18.5343 |
| 0.9861        | 4.0   | 2792 | 0.8873          | 57.8533 | 43.409  | 54.7583 | 55.0156   | 18.5971 |
| 0.9592        | 5.0   | 3490 | 0.8832          | 57.5616 | 43.0588 | 54.6246 | 54.8382   | 18.4914 |


### Framework versions

- Transformers 4.33.0
- Pytorch 2.0.0+cu117
- Datasets 2.14.4
- Tokenizers 0.13.3