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---
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
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