transformers pytorch t5 text2text-generation generated_from_trainer base_model:google/flan-t5-small license:apache-2.0 autotrain_compatible endpoints_compatible text-generation-inference region:us
---
license: apache-2.0
base_model: google/flan-t5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: flanT5_small_title_desc
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# flanT5_small_title_desc

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: 0.0198
- Rouge1: 2.9385
- Rouge2: 1.7278
- Rougel: 2.3658
- Rougelsum: 2.5451
- Gen Len: 18.9634

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| 0.0781        | 1.0   | 2020  | 0.0496          | 2.2624 | 1.1169 | 1.781  | 1.9142    | 18.8670 |
| 0.0476        | 2.0   | 4040  | 0.0309          | 2.635  | 1.4254 | 2.1038 | 2.2632    | 18.9406 |
| 0.0366        | 3.0   | 6060  | 0.0238          | 2.8703 | 1.642  | 2.284  | 2.4596    | 18.8908 |
| 0.0327        | 4.0   | 8080  | 0.0207          | 2.9212 | 1.7136 | 2.3494 | 2.5265    | 18.9626 |
| 0.0308        | 5.0   | 10100 | 0.0198          | 2.9385 | 1.7278 | 2.3658 | 2.5451    | 18.9634 |


### Framework versions

- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1
