---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- samsum
metrics:
- rouge
model-index:
- name: flan-t5-small-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: 43.7829
---

<!-- 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-small-samsum

This model is a fine-tuned version of [google/flan-t5-small](https://huggingface.co/google/flan-t5-small) on the samsum dataset.
It achieves the following results on the evaluation set:
- Loss: 1.6325
- Rouge1: 43.7829
- Rouge2: 19.4994
- Rougel: 36.5484
- Rougelsum: 39.9323
- Gen Len: 16.8730

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 1.8137        | 1.0   | 1842 | 1.6636          | 42.6155 | 18.9113 | 35.7997 | 39.046    | 16.7473 |
| 1.7502        | 2.0   | 3684 | 1.6408          | 43.3833 | 19.1709 | 36.0178 | 39.5973   | 16.8620 |
| 1.6864        | 3.0   | 5526 | 1.6372          | 43.31   | 19.2269 | 35.9239 | 39.6082   | 16.8559 |
| 1.6647        | 4.0   | 7368 | 1.6334          | 43.7043 | 19.462  | 36.4417 | 39.8969   | 16.9512 |
| 1.6391        | 5.0   | 9210 | 1.6325          | 43.7829 | 19.4994 | 36.5484 | 39.9323   | 16.8730 |


### Framework versions

- Transformers 4.27.4
- Pytorch 2.0.0
- Datasets 2.11.0
- Tokenizers 0.13.2