---
license: apache-2.0
base_model: google/flan-t5-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: flan-t5-base-samsum
  results: []
---

<!-- 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 an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.3717
- Rouge1: 47.4483
- Rouge2: 23.6821
- Rougel: 40.0391
- Rougelsum: 43.5912
- Gen Len: 17.0745

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 1.4543        | 1.0   | 1842 | 1.3866          | 46.7875 | 22.9635 | 39.0803 | 42.9982   | 17.5531 |
| 1.3399        | 2.0   | 3684 | 1.3731          | 47.3389 | 24.0053 | 39.9638 | 43.7068   | 17.3297 |
| 1.2788        | 3.0   | 5526 | 1.3717          | 47.4483 | 23.6821 | 40.0391 | 43.5912   | 17.0745 |
| 1.2239        | 4.0   | 7368 | 1.3752          | 47.658  | 24.1589 | 40.0986 | 43.9581   | 17.4676 |
| 1.1997        | 5.0   | 9210 | 1.3755          | 47.3891 | 23.7333 | 39.8186 | 43.563    | 17.3932 |


### Framework versions

- Transformers 4.40.0
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1