---
license: apache-2.0
base_model: google/flan-t5-small
tags:
- generated_from_trainer
metrics:
- rouge
- bleu
model-index:
- name: flan-t5-small-en-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-en-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: 1.0235
- Rouge1: 37.4861
- Rouge2: 24.6089
- Rougel: 36.9311
- Rougelsum: 37.0089
- Gen Len: 18.2196
- Bleu: 6.4559
- Corpus Bleu: 1.7137

## 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 | Bleu   | Corpus Bleu |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|:------:|:-----------:|
| 1.591         | 1.0   | 836  | 1.2587          | 36.4802 | 23.5099 | 35.8961 | 35.9879   | 18.2100 | 5.6488 | 1.6728      |
| 1.2642        | 2.0   | 1672 | 1.1112          | 37.0889 | 24.1259 | 36.5258 | 36.6133   | 18.2148 | 5.7688 | 1.7062      |
| 1.1999        | 3.0   | 2508 | 1.0687          | 37.5481 | 24.737  | 36.995  | 37.0752   | 18.2148 | 6.5724 | 1.75        |
| 1.1533        | 4.0   | 3344 | 1.0338          | 37.4724 | 24.5806 | 36.8996 | 36.9784   | 18.2196 | 6.4559 | 1.7049      |
| 1.1067        | 5.0   | 4180 | 1.0235          | 37.4861 | 24.6089 | 36.9311 | 37.0089   | 18.2196 | 6.4559 | 1.7137      |


### Framework versions

- Transformers 4.35.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.7
- Tokenizers 0.14.1