---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: title_generation
  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. -->

# title_generation

This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: nan
- Rouge1: 41.5236
- Rouge2: 17.5894
- Rougel: 37.2852
- Rougelsum: 37.2749
- Gen Len: 13.3542

## 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-06
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 0.0           | 1.0   | 3748  | nan             | 41.5236 | 17.5894 | 37.2852 | 37.2749   | 13.3542 |
| 0.0           | 2.0   | 7496  | nan             | 41.5236 | 17.5894 | 37.2852 | 37.2749   | 13.3542 |
| 0.0           | 3.0   | 11244 | nan             | 41.5236 | 17.5894 | 37.2852 | 37.2749   | 13.3542 |


### Framework versions

- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3