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--- |
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library_name: transformers |
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license: apache-2.0 |
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base_model: moussaKam/AraBART |
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tags: |
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- generated_from_trainer |
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metrics: |
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- rouge |
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model-index: |
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- name: my_summrize1_model |
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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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# my_summrize1_model |
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This model is a fine-tuned version of [moussaKam/AraBART](https://huggingface.co/moussaKam/AraBART) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4576 |
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- Rouge1: 0.0134 |
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- Rouge2: 0.005 |
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- Rougel: 0.0129 |
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- Rougelsum: 0.0133 |
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- Gen Len: 20.0 |
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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: 8 |
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- eval_batch_size: 8 |
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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: 4 |
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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 | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:| |
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| No log | 1.0 | 50 | 0.5512 | 0.008 | 0.0067 | 0.008 | 0.008 | 18.98 | |
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| No log | 2.0 | 100 | 0.4914 | 0.0147 | 0.0117 | 0.0158 | 0.0147 | 20.0 | |
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| No log | 3.0 | 150 | 0.4659 | 0.0211 | 0.0117 | 0.021 | 0.0209 | 20.0 | |
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| No log | 4.0 | 200 | 0.4576 | 0.0134 | 0.005 | 0.0129 | 0.0133 | 20.0 | |
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### Framework versions |
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- Transformers 4.45.1 |
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- Pytorch 2.4.0 |
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- Datasets 3.0.1 |
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- Tokenizers 0.20.0 |
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