---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- samsum
metrics:
- rouge
model-index:
- name: flan-t5-base-samsum5
  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: 46.8382
---

<!-- 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-samsum5

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: 1.3676
- Rouge1: 46.8382
- Rouge2: 23.107
- Rougel: 39.5293
- Rougelsum: 42.8917
- Gen Len: 17.3675

## 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: 6
- eval_batch_size: 6
- 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 |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 1.4315        | 1.0   | 2456  | 1.3793          | 46.7908 | 22.8618 | 39.3679 | 43.0337   | 17.1148 |
| 1.352         | 2.0   | 4912  | 1.3676          | 46.8382 | 23.107  | 39.5293 | 42.8917   | 17.3675 |
| 1.2638        | 3.0   | 7368  | 1.3684          | 47.3491 | 23.5078 | 39.9401 | 43.4065   | 17.1832 |
| 1.2238        | 4.0   | 9824  | 1.3727          | 47.2949 | 23.8671 | 40.057  | 43.645    | 17.3260 |
| 1.1632        | 5.0   | 12280 | 1.3737          | 47.3124 | 23.7118 | 40.0067 | 43.6227   | 17.3126 |


### Framework versions

- Transformers 4.27.1
- Pytorch 1.13.1+cu116
- Datasets 2.10.1
- Tokenizers 0.13.2