transformers tensorboard safetensors led text2text-generation summarization generated_from_trainer autotrain_compatible endpoints_compatible region:us
---
tags:
- summarization
- generated_from_trainer
model-index:
- name: led-risalah_data_v6
  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. -->

# led-risalah_data_v6

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7883
- Rouge1 Precision: 0.7351
- Rouge1 Recall: 0.1832
- Rouge1 Fmeasure: 0.2927

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:---------------:|:----------------:|:-------------:|
| No log        | 1.0   | 70   | 1.8476          | 0.2203          | 0.5271           | 0.1405        |
| 1.9578        | 2.0   | 140  | 1.6793          | 0.2711          | 0.6467           | 0.1733        |
| 1.3878        | 3.0   | 210  | 1.6549          | 0.261           | 0.6216           | 0.1666        |
| 1.3878        | 4.0   | 280  | 1.7038          | 0.2814          | 0.656            | 0.1804        |
| 1.1002        | 5.0   | 350  | 1.7134          | 0.2755          | 0.6577           | 0.1753        |
| 0.8629        | 6.0   | 420  | 1.7733          | 0.2683          | 0.6436           | 0.1711        |
| 0.8629        | 7.0   | 490  | 1.7755          | 0.2757          | 0.6489           | 0.1762        |
| 0.6881        | 8.0   | 560  | 1.8848          | 0.2747          | 0.6502           | 0.1758        |
| 0.5746        | 9.0   | 630  | 1.9318          | 0.2647          | 0.6305           | 0.1686        |
| 0.479         | 10.0  | 700  | 1.9675          | 0.2655          | 0.633            | 0.1692        |


### Framework versions

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