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--- |
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base_model: malmarjeh/t5-arabic-text-summarization |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: t5-arabic-text-summarization-finetuned-xsum |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# t5-arabic-text-summarization-finetuned-xsum |
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This model is a fine-tuned version of [malmarjeh/t5-arabic-text-summarization](https://huggingface.co/malmarjeh/t5-arabic-text-summarization) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.5723 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 2e-05 |
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- train_batch_size: 1 |
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- eval_batch_size: 1 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 10 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 4.7847 | 1.0 | 840 | 3.4060 | |
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| 3.9577 | 2.0 | 1680 | 3.1634 | |
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| 3.6274 | 3.0 | 2520 | 2.9916 | |
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| 3.5127 | 4.0 | 3360 | 2.8185 | |
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| 3.324 | 5.0 | 4200 | 2.7196 | |
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| 3.2254 | 6.0 | 5040 | 2.6812 | |
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| 3.2065 | 7.0 | 5880 | 2.6396 | |
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| 3.1036 | 8.0 | 6720 | 2.5930 | |
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| 3.0984 | 9.0 | 7560 | 2.5850 | |
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| 2.9747 | 10.0 | 8400 | 2.5723 | |
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### Framework versions |
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- Transformers 4.36.2 |
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- Pytorch 2.0.0+cu118 |
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- Datasets 2.16.1 |
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- Tokenizers 0.15.0 |
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