---
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: 46.2923
---

<!-- 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: nan
- Rouge1: 46.2923
- Rouge2: 22.272
- Rougel: 38.6727
- Rougelsum: 42.1955
- Gen Len: 16.7778

## 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
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2 | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
| 0.0           | 1.0   | 1842 | nan             | 46.2923 | 22.272 | 38.6727 | 42.1955   | 16.7778 |
| 0.0           | 2.0   | 3684 | nan             | 46.2923 | 22.272 | 38.6727 | 42.1955   | 16.7778 |
| 0.0           | 3.0   | 5526 | nan             | 46.2923 | 22.272 | 38.6727 | 42.1955   | 16.7778 |
| 0.0           | 4.0   | 7368 | nan             | 46.2923 | 22.272 | 38.6727 | 42.1955   | 16.7778 |
| 0.0           | 5.0   | 9210 | nan             | 46.2923 | 22.272 | 38.6727 | 42.1955   | 16.7778 |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0