transformers pytorch t5 text2text-generation generated_from_trainer dataset:samsum base_model:google/flan-t5-base license:apache-2.0 model-index autotrain_compatible endpoints_compatible text-generation-inference region:us
---
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: 47.4302
---

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# 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: 1.3717
- Rouge1: 47.4302
- Rouge2: 23.8067
- Rougel: 39.8729
- Rougelsum: 43.5812
- Gen Len: 17.2271

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 1.4391        | 1.0   | 1842 | 1.3872          | 46.8646 | 23.2173 | 39.4291 | 43.14     | 17.2613 |
| 1.3436        | 2.0   | 3684 | 1.3738          | 47.4899 | 23.7009 | 39.9047 | 43.4379   | 17.1258 |
| 1.2807        | 3.0   | 5526 | 1.3727          | 47.1101 | 23.4307 | 39.5299 | 43.2392   | 17.3639 |
| 1.2404        | 4.0   | 7368 | 1.3717          | 47.4302 | 23.8067 | 39.8729 | 43.5812   | 17.2271 |
| 1.1998        | 5.0   | 9210 | 1.3755          | 47.6999 | 24.0391 | 40.1937 | 43.8551   | 17.2564 |


### Framework versions

- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1
