---
library_name: transformers
license: apache-2.0
base_model: google/flan-t5-base
tags:
- generated_from_trainer
datasets:
- samsum
metrics:
- rouge
model-index:
- name: flan-t5-base-max
  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: 47.658
---

<!-- 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-max

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: 1.3767
- Rouge1: 47.658
- Rouge2: 23.8342
- Rougel: 39.8959
- Rougelsum: 43.9372
- Gen Len: 18.0037

## 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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 1.4528        | 1.0   | 1842 | 1.3867          | 47.1561 | 23.0232 | 39.2965 | 43.2173   | 18.0794 |
| 1.3385        | 2.0   | 3684 | 1.3751          | 47.261  | 23.4468 | 39.3675 | 43.388    | 18.0098 |
| 1.2791        | 3.0   | 5526 | 1.3695          | 47.6429 | 23.7409 | 39.7882 | 43.6692   | 17.6654 |
| 1.2262        | 4.0   | 7368 | 1.3761          | 47.8213 | 24.0947 | 40.0904 | 44.0943   | 18.0256 |
| 1.2035        | 5.0   | 9210 | 1.3767          | 47.658  | 23.8342 | 39.8959 | 43.9372   | 18.0037 |


### Framework versions

- Transformers 4.47.0
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0