---
license: apache-2.0
base_model: google/flan-t5-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: flan-t5-base-13713
  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-base-13713

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: 1.5227
- Rouge1: 15.5402
- Rouge2: 9.6095
- Rougel: 14.0867
- Rougelsum: 14.8218
- Gen Len: 18.9316

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
| 1.9619        | 1.0   | 1908 | 1.6707          | 15.1982 | 9.312  | 13.8105 | 14.5284   | 18.9717 |
| 1.8021        | 2.0   | 3816 | 1.5866          | 15.4256 | 9.522  | 13.9826 | 14.7357   | 18.9251 |
| 1.7247        | 3.0   | 5724 | 1.5497          | 15.4466 | 9.5677 | 14.0187 | 14.7678   | 18.9304 |
| 1.6722        | 4.0   | 7632 | 1.5285          | 15.6321 | 9.7206 | 14.2157 | 14.9454   | 18.9322 |
| 1.6571        | 5.0   | 9540 | 1.5227          | 15.5402 | 9.6095 | 14.0867 | 14.8218   | 18.9316 |


### Framework versions

- Transformers 4.36.2
- Pytorch 2.1.2+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0