---
license: apache-2.0
base_model: google/flan-t5-small
tags:
- summarization
- generated_from_trainer
metrics:
- rouge
model-index:
- name: flan-t5-small-destination-inference
  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-destination-inference

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: 0.1533
- Rouge1: 93.7111
- Rouge2: 0.0
- Rougel: 93.7462
- Rougelsum: 93.7462

## 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: 8

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Rouge1  | Rouge2 | Rougel  | Rougelsum |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:------:|:-------:|:---------:|
| 1.5338        | 1.0   | 5701  | 0.2460          | 89.4132 | 0.0    | 89.4395 | 89.4483   |
| 1.2443        | 2.0   | 11402 | 0.2024          | 90.8692 | 0.0    | 90.8868 | 90.8955   |
| 1.1477        | 3.0   | 17103 | 0.1810          | 91.8779 | 0.0    | 91.8954 | 91.8954   |
| 1.0878        | 4.0   | 22804 | 0.1693          | 92.5445 | 0.0    | 92.5621 | 92.5621   |
| 1.0495        | 5.0   | 28505 | 0.1609          | 93.3164 | 0.0    | 93.3427 | 93.3339   |
| 1.0178        | 6.0   | 34206 | 0.1556          | 93.4041 | 0.0    | 93.4216 | 93.4304   |
| 0.9981        | 7.0   | 39907 | 0.1542          | 93.6935 | 0.0    | 93.7286 | 93.7286   |
| 0.9848        | 8.0   | 45608 | 0.1533          | 93.7111 | 0.0    | 93.7462 | 93.7462   |


### Framework versions

- Transformers 4.33.3
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.13.3