---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: flan-t5-small-tigger
  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-tigger

This model is a fine-tuned version of [google/flan-t5-small](https://huggingface.co/google/flan-t5-small) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.1549
- Rouge1: 17.5468
- Rouge2: 10.1476
- Rougel: 17.4231
- Rougelsum: 17.4344
- Gen Len: 16.6461

## 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: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 2.4678        | 1.0   | 1800 | 2.2583          | 19.1824 | 13.4043 | 19.1866 | 19.1587   | 10.7492 |
| 2.3099        | 2.0   | 3600 | 2.1954          | 17.3144 | 10.368  | 17.1994 | 17.2103   | 15.2175 |
| 2.2551        | 3.0   | 5400 | 2.1692          | 17.8406 | 10.6106 | 17.7207 | 17.7554   | 16.9789 |
| 2.2125        | 4.0   | 7200 | 2.1569          | 17.5768 | 10.199  | 17.4462 | 17.4731   | 16.4942 |
| 2.1944        | 5.0   | 9000 | 2.1549          | 17.5468 | 10.1476 | 17.4231 | 17.4344   | 16.6461 |


### Framework versions

- Transformers 4.29.1
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3