---
license: apache-2.0
base_model: google/flan-t5-base
tags:
- generated_from_trainer
datasets:
- samsum
metrics:
- rouge
model-index:
- name: flan-t5-base-samsum
  results:
  - task:
      name: Sequence-to-sequence Language Modeling
      type: text2text-generation
    dataset:
      name: samsum
      type: samsum
      config: samsum
      split: test
      args: samsum
    metrics:
    - name: Rouge1
      type: rouge
      value: 47.6387
---

<!-- 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-samsum

This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on the samsum dataset.
It achieves the following results on the evaluation set:
- Loss: 1.3737
- Rouge1: 47.6387
- Rouge2: 24.1608
- Rougel: 40.1108
- Rougelsum: 43.9213
- Gen Len: 17.2076

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 1.453         | 1.0   | 1842 | 1.3864          | 47.0319 | 22.9684 | 39.1486 | 42.9635   | 17.3797 |
| 1.3399        | 2.0   | 3684 | 1.3758          | 47.1982 | 23.4772 | 39.756  | 43.4967   | 17.1954 |
| 1.268         | 3.0   | 5526 | 1.3782          | 47.5188 | 23.9509 | 39.9305 | 43.7792   | 17.3822 |
| 1.2313        | 4.0   | 7368 | 1.3737          | 47.6387 | 24.1608 | 40.1108 | 43.9213   | 17.2076 |
| 1.206         | 5.0   | 9210 | 1.3764          | 47.7288 | 23.9829 | 40.1887 | 43.9615   | 17.2857 |


### Framework versions

- Transformers 4.36.0
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0