---
license: apache-2.0
base_model: google/flan-t5-base
tags:
- generated_from_trainer
datasets:
- samsum
metrics:
- rouge
model-index:
- name: flan-t5-base-samah
  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: 47.4528
---

<!-- 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-samah

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: 1.3695
- Rouge1: 47.4528
- Rouge2: 23.6072
- Rougel: 39.9094
- Rougelsum: 43.6038
- Gen Len: 17.3480

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 1.4497        | 1.0   | 1842 | 1.3848          | 46.3027 | 22.627  | 38.6676 | 42.6434   | 17.3223 |
| 1.3474        | 2.0   | 3684 | 1.3718          | 47.1006 | 23.3454 | 39.5336 | 43.373    | 17.2503 |
| 1.2817        | 3.0   | 5526 | 1.3701          | 47.4623 | 23.6266 | 39.9575 | 43.5799   | 17.2503 |
| 1.2287        | 4.0   | 7368 | 1.3695          | 47.4528 | 23.6072 | 39.9094 | 43.6038   | 17.3480 |
| 1.196         | 5.0   | 9210 | 1.3735          | 47.5266 | 23.7604 | 39.7747 | 43.6293   | 17.3028 |


### Framework versions

- Transformers 4.31.0
- Pytorch 1.12.1+cu116
- Datasets 2.14.4
- Tokenizers 0.12.1