---
license: apache-2.0
base_model: google/flan-t5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: results_2
  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_2

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: 1.6490
- Rouge1: 0.4530
- Rouge2: 0.2185
- Rougel: 0.3802
- Rougelsum: 0.4180

## 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: 0.001
- train_batch_size: 16
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
| 1.9429        | 1.0   | 737  | 1.6596          | 0.4274 | 0.1939 | 0.3583 | 0.3931    |
| 1.753         | 2.0   | 1474 | 1.6199          | 0.4373 | 0.2077 | 0.3693 | 0.4057    |
| 1.4155        | 3.0   | 2211 | 1.6054          | 0.4510 | 0.2129 | 0.3781 | 0.4148    |
| 1.3309        | 4.0   | 2948 | 1.6260          | 0.4520 | 0.2165 | 0.3795 | 0.4176    |
| 1.1438        | 5.0   | 3685 | 1.6490          | 0.4530 | 0.2185 | 0.3802 | 0.4180    |


### Framework versions

- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2