---
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: 47.39
---

<!-- 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: 1.3707
- Rouge1: 47.39
- Rouge2: 23.8837
- Rougel: 40.08
- Rougelsum: 43.7241
- Gen Len: 17.2137

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 1.4525        | 1.0   | 1842 | 1.3837          | 46.4021 | 22.8734 | 39.1025 | 42.8284   | 17.2149 |
| 1.3436        | 2.0   | 3684 | 1.3725          | 47.0983 | 23.5269 | 39.8757 | 43.4526   | 17.1954 |
| 1.2821        | 3.0   | 5526 | 1.3708          | 47.2332 | 23.6343 | 39.7749 | 43.4436   | 17.2271 |
| 1.2307        | 4.0   | 7368 | 1.3707          | 47.39   | 23.8837 | 40.08   | 43.7241   | 17.2137 |
| 1.1986        | 5.0   | 9210 | 1.3762          | 47.4841 | 23.9306 | 40.0741 | 43.7225   | 17.2821 |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.0.1+cu117
- Datasets 2.15.0
- Tokenizers 0.15.0