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AraT5-base-title-generation-finetuned-ar-xlsum
This model is a fine-tuned version of UBC-NLP/AraT5-base-title-generation on the wiki_lingua dataset. It achieves the following results on the evaluation set:
- Loss: 4.8120
- Rouge-1: 23.29
- Rouge-2: 8.44
- Rouge-l: 20.74
- Gen Len: 18.16
- Bertscore: 70.88
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
- lr_scheduler_warmup_steps: 250
- num_epochs: 8
- label_smoothing_factor: 0.1
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge-1 | Rouge-2 | Rouge-l | Gen Len | Bertscore |
|---|---|---|---|---|---|---|---|---|
| 6.1002 | 1.0 | 5111 | 5.2917 | 18.95 | 5.84 | 17.01 | 17.9 | 68.69 |
| 5.4427 | 2.0 | 10222 | 5.0877 | 20.61 | 6.73 | 18.58 | 17.14 | 69.69 |
| 5.1876 | 3.0 | 15333 | 4.9631 | 21.27 | 7.17 | 19.09 | 17.69 | 69.82 |
| 5.0256 | 4.0 | 20444 | 4.8984 | 21.7 | 7.53 | 19.55 | 17.56 | 70.18 |
| 4.9104 | 5.0 | 25555 | 4.8538 | 22.23 | 7.54 | 19.79 | 17.6 | 70.33 |
| 4.8251 | 6.0 | 30666 | 4.8309 | 22.35 | 7.6 | 19.96 | 17.64 | 70.51 |
| 4.7666 | 7.0 | 35777 | 4.8168 | 22.45 | 7.81 | 20.15 | 17.47 | 70.61 |
| 4.7275 | 8.0 | 40888 | 4.8120 | 22.67 | 7.83 | 20.34 | 17.56 | 70.66 |
Framework versions
- Transformers 4.18.0
- Pytorch 1.10.0+cu111
- Datasets 2.1.0
- Tokenizers 0.12.1
