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AlQalam-finetuned-mmj
This model is a fine-tuned version of malmarjeh/t5-arabic-text-summarization on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.0723
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.3745 | 1.0 | 1678 | 1.1947 |
| 1.219 | 2.0 | 3356 | 1.1176 |
| 1.065 | 3.0 | 5034 | 1.0895 |
| 0.9928 | 4.0 | 6712 | 1.0734 |
| 0.9335 | 5.0 | 8390 | 1.0723 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3
