---
license: apache-2.0
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: 47.5
---

<!-- 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: 1.3721
- Rouge1: 47.5
- Rouge2: 23.9237
- Rougel: 40.0646
- Rougelsum: 43.6387
- Gen Len: 17.2405

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 1.4398        | 1.0   | 1842 | 1.3823          | 47.2415 | 23.7419 | 39.5142 | 43.4177   | 17.0354 |
| 1.3564        | 2.0   | 3684 | 1.3747          | 46.833  | 23.308  | 39.2838 | 42.9821   | 17.3077 |
| 1.2776        | 3.0   | 5526 | 1.3721          | 47.5    | 23.9237 | 40.0646 | 43.6387   | 17.2405 |
| 1.2345        | 4.0   | 7368 | 1.3744          | 47.5599 | 23.9714 | 40.06   | 43.8107   | 17.2454 |
| 1.194         | 5.0   | 9210 | 1.3760          | 47.7868 | 24.0949 | 40.2021 | 43.789    | 17.2466 |


### Framework versions

- Transformers 4.27.4
- Pytorch 2.0.0+cu117
- Datasets 2.11.0
- Tokenizers 0.13.3