---
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
metrics:
- rouge
base_model: google/flan-t5-base
model-index:
- name: results
  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. -->

# results

This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.1549
- Rouge1: 0.0992
- Rouge2: 0.0185
- Rougel: 0.0769
- Rougelsum: 0.0898

## 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: 0.0003
- train_batch_size: 8
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|
| 3.4344        | 1.0   | 1498  | 3.2018          | 0.1012 | 0.0173 | 0.0788 | 0.0920    |
| 3.4054        | 2.0   | 2996  | 3.1860          | 0.0966 | 0.0176 | 0.0749 | 0.0876    |
| 3.3838        | 3.0   | 4494  | 3.1767          | 0.0984 | 0.0180 | 0.0766 | 0.0892    |
| 3.368         | 4.0   | 5992  | 3.1712          | 0.1013 | 0.0191 | 0.0785 | 0.0915    |
| 3.3534        | 5.0   | 7490  | 3.1647          | 0.1007 | 0.0188 | 0.0781 | 0.0910    |
| 3.3573        | 6.0   | 8988  | 3.1613          | 0.0992 | 0.0189 | 0.0770 | 0.0897    |
| 3.3392        | 7.0   | 10486 | 3.1581          | 0.0999 | 0.0186 | 0.0778 | 0.0904    |
| 3.3327        | 8.0   | 11984 | 3.1568          | 0.1006 | 0.0187 | 0.0778 | 0.0909    |
| 3.3275        | 9.0   | 13482 | 3.1554          | 0.0983 | 0.0181 | 0.0763 | 0.0890    |
| 3.3267        | 10.0  | 14980 | 3.1549          | 0.0992 | 0.0185 | 0.0769 | 0.0898    |


### Framework versions

- PEFT 0.10.0
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2