---
license: apache-2.0
base_model: google/flan-t5-base
tags:
- summarization
- generated_from_trainer
datasets:
- samsum
metrics:
- rouge
model-index:
- name: notification-hub
  results:
  - task:
      name: Sequence-to-sequence Language Modeling
      type: text2text-generation
    dataset:
      name: samsum
      type: samsum
      config: samsum
      split: validation
      args: samsum
    metrics:
    - name: Rouge1
      type: rouge
      value: 44.34200782349507
---

<!-- 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. -->

# notification-hub

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: 1.5633
- Rougel: 38.3354
- Rouge1: 44.3420

## 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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rougel  | Rouge1  |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
| 1.6364        | 1.0   | 2482 | 1.5543          | 37.6025 | 43.5207 |
| 1.4764        | 2.0   | 4964 | 1.5466          | 38.2764 | 44.0569 |
| 1.3991        | 3.0   | 7446 | 1.5556          | 38.2109 | 43.9420 |
| 1.3365        | 4.0   | 9928 | 1.5633          | 38.3354 | 44.3420 |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0