---
license: apache-2.0
base_model: Falconsai/text_summarization
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: 39.350569666957284
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# notification-hub

This model is a fine-tuned version of [Falconsai/text_summarization](https://huggingface.co/Falconsai/text_summarization) on the samsum dataset.
It achieves the following results on the evaluation set:
- Loss: 1.8155
- Rougel: 34.0230
- Rouge1: 39.3506

## 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  |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
| 2.1248        | 1.0   | 2482 | 1.8711          | 32.6871 | 37.4214 |
| 1.9801        | 2.0   | 4964 | 1.8399          | 33.6102 | 38.8617 |
| 1.9584        | 3.0   | 7446 | 1.8219          | 33.6316 | 38.8673 |
| 1.907         | 4.0   | 9928 | 1.8155          | 34.0230 | 39.3506 |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0