---
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: validation
      args: samsum
    metrics:
    - name: Rouge1
      type: rouge
      value: 48.3584
---

<!-- 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: 1.3808
- Rouge1: 48.3584
- Rouge2: 25.2355
- Rougel: 41.0959
- Rougelsum: 44.8827
- Gen Len: 17.3496

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 1.4515        | 1.0   | 1842 | 1.3930          | 47.8577 | 24.5602 | 40.427  | 44.374    | 17.4487 |
| 1.346         | 2.0   | 3684 | 1.3809          | 48.1527 | 24.809  | 40.8549 | 44.5684   | 17.4633 |
| 1.2806        | 3.0   | 5526 | 1.3817          | 48.2629 | 25.0493 | 40.952  | 44.6847   | 17.3704 |
| 1.2414        | 4.0   | 7368 | 1.3799          | 48.2785 | 25.1137 | 41.1032 | 44.7977   | 17.3778 |
| 1.2081        | 5.0   | 9210 | 1.3808          | 48.3584 | 25.2355 | 41.0959 | 44.8827   | 17.3496 |


### Framework versions

- Transformers 4.32.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3