---
tags:
- summarization
- generated_from_trainer
model-index:
- name: led-risalah_data_v7
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# led-risalah_data_v7

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.8807
- Rouge1 Precision: 0.6909
- Rouge1 Recall: 0.1722
- Rouge1 Fmeasure: 0.2753

## 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: 5.6e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 Fmeasure | Rouge1 Precision | Rouge1 Recall |
|:-------------:|:-----:|:----:|:---------------:|:---------------:|:----------------:|:-------------:|
| 1.7531        | 1.0   | 70   | 1.7163          | 0.2707          | 0.6515           | 0.1714        |
| 1.4557        | 2.0   | 140  | 1.6342          | 0.2716          | 0.6745           | 0.1705        |
| 1.132         | 3.0   | 210  | 1.6420          | 0.2784          | 0.686            | 0.175         |
| 1.0552        | 4.0   | 280  | 1.6372          | 0.2828          | 0.6879           | 0.1786        |
| 1.0587        | 5.0   | 350  | 1.6587          | 0.2595          | 0.6314           | 0.1637        |
| 0.7863        | 6.0   | 420  | 1.6967          | 0.2871          | 0.7038           | 0.181         |
| 0.4577        | 7.0   | 490  | 1.7779          | 0.2717          | 0.6783           | 0.1703        |
| 0.6156        | 8.0   | 560  | 1.7964          | 0.2637          | 0.6474           | 0.1659        |
| 0.593         | 9.0   | 630  | 1.8699          | 0.2747          | 0.6797           | 0.1728        |
| 0.4265        | 10.0  | 700  | 1.8807          | 0.2753          | 0.6909           | 0.1722        |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.1+cu121
- Datasets 2.14.5
- Tokenizers 0.15.1