---
license: apache-2.0
base_model: ahmeddbahaa/t5-arabic-base-finetuned-wikilingua-ar
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: results_t5_wiki
  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. -->

# results_t5_wiki

This model is a fine-tuned version of [ahmeddbahaa/t5-arabic-base-finetuned-wikilingua-ar](https://huggingface.co/ahmeddbahaa/t5-arabic-base-finetuned-wikilingua-ar) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0002
- Rouge1: 0.1188
- Rouge2: 0.0194
- Rougel: 0.1188
- Rougelsum: 0.1186
- Gen Len: 19.0

## 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: 0.0005
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 250
- num_epochs: 10

### Training results

| Training Loss | Epoch  | Step  | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:------:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| 0.8768        | 0.2143 | 500   | 0.0228          | 0.1148 | 0.0128 | 0.1148 | 0.1147    | 19.0    |
| 0.0437        | 0.4286 | 1000  | 0.0111          | 0.1164 | 0.0154 | 0.1168 | 0.1165    | 19.0    |
| 0.0436        | 0.6429 | 1500  | 0.0060          | 0.1168 | 0.0163 | 0.1171 | 0.1169    | 19.0    |
| 0.0212        | 0.8573 | 2000  | 0.0052          | 0.117  | 0.0165 | 0.1173 | 0.117     | 19.0    |
| 0.0161        | 1.0716 | 2500  | 0.0018          | 0.1188 | 0.0194 | 0.1188 | 0.1186    | 19.0    |
| 0.011         | 1.2859 | 3000  | 0.0018          | 0.1188 | 0.0193 | 0.1188 | 0.1186    | 19.0    |
| 0.0094        | 1.5002 | 3500  | 0.0014          | 0.1188 | 0.0194 | 0.1188 | 0.1186    | 19.0    |
| 0.0107        | 1.7145 | 4000  | 0.0007          | 0.1188 | 0.0194 | 0.1188 | 0.1186    | 19.0    |
| 0.0069        | 1.9288 | 4500  | 0.0006          | 0.1188 | 0.0194 | 0.1188 | 0.1186    | 19.0    |
| 0.007         | 2.1432 | 5000  | 0.0006          | 0.1188 | 0.0194 | 0.1188 | 0.1186    | 19.0    |
| 0.0064        | 2.3575 | 5500  | 0.0006          | 0.1188 | 0.0194 | 0.1188 | 0.1186    | 19.0    |
| 0.0062        | 2.5718 | 6000  | 0.0015          | 0.1188 | 0.0194 | 0.1188 | 0.1186    | 19.0    |
| 0.0042        | 2.7861 | 6500  | 0.0005          | 0.1188 | 0.0194 | 0.1188 | 0.1186    | 19.0    |
| 0.0043        | 3.0004 | 7000  | 0.0004          | 0.1188 | 0.0194 | 0.1188 | 0.1186    | 19.0    |
| 0.0042        | 3.2147 | 7500  | 0.0012          | 0.1188 | 0.0194 | 0.1188 | 0.1186    | 19.0    |
| 0.0047        | 3.4291 | 8000  | 0.0010          | 0.1188 | 0.0194 | 0.1188 | 0.1186    | 19.0    |
| 0.0043        | 3.6434 | 8500  | 0.0008          | 0.1188 | 0.0194 | 0.1188 | 0.1186    | 19.0    |
| 0.0024        | 3.8577 | 9000  | 0.0003          | 0.1188 | 0.0194 | 0.1188 | 0.1186    | 19.0    |
| 0.0026        | 4.0720 | 9500  | 0.0005          | 0.1188 | 0.0194 | 0.1188 | 0.1186    | 19.0    |
| 0.0029        | 4.2863 | 10000 | 0.0003          | 0.1188 | 0.0194 | 0.1188 | 0.1186    | 19.0    |
| 0.0045        | 4.5006 | 10500 | 0.0006          | 0.1188 | 0.0194 | 0.1188 | 0.1186    | 19.0    |
| 0.0024        | 4.7150 | 11000 | 0.0001          | 0.1188 | 0.0194 | 0.1188 | 0.1186    | 19.0    |
| 0.0018        | 4.9293 | 11500 | 0.0002          | 0.1188 | 0.0194 | 0.1188 | 0.1186    | 19.0    |
| 0.002         | 5.1436 | 12000 | 0.0002          | 0.1188 | 0.0194 | 0.1188 | 0.1186    | 19.0    |
| 0.0022        | 5.3579 | 12500 | 0.0001          | 0.1188 | 0.0194 | 0.1188 | 0.1186    | 19.0    |
| 0.0017        | 5.5722 | 13000 | 0.0003          | 0.1188 | 0.0194 | 0.1188 | 0.1186    | 19.0    |
| 0.0014        | 5.7865 | 13500 | 0.0005          | 0.1188 | 0.0194 | 0.1188 | 0.1186    | 19.0    |
| 0.0055        | 6.0009 | 14000 | 0.0012          | 0.1188 | 0.0194 | 0.1188 | 0.1186    | 16.3147 |
| 0.0127        | 6.2152 | 14500 | 0.0002          | 0.1188 | 0.0194 | 0.1188 | 0.1186    | 19.0    |
| 0.0012        | 6.4295 | 15000 | 0.0002          | 0.1188 | 0.0194 | 0.1188 | 0.1186    | 19.0    |


### Framework versions

- Transformers 4.42.0.dev0
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1