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End of training
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README.md
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---
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---
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---
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base_model: sseyf/arabic_summarization_tp
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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: NLP_Summerizer
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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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# NLP_Summerizer
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This model is a fine-tuned version of [sseyf/arabic_summarization_tp](https://huggingface.co/sseyf/arabic_summarization_tp) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0451
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- Rouge1: 0.179
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- Rouge2: 0.0698
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- Rougel: 0.1786
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- Rougelsum: 0.1783
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- Gen Len: 18.8103
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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: 2
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- eval_batch_size: 2
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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: 3
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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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| 0.1625 | 1.0 | 3351 | 0.0636 | 0.1722 | 0.0625 | 0.1723 | 0.1719 | 18.7864 |
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| 0.1107 | 2.0 | 6702 | 0.0482 | 0.1816 | 0.0712 | 0.1814 | 0.1808 | 18.8073 |
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| 0.09 | 3.0 | 10053 | 0.0451 | 0.179 | 0.0698 | 0.1786 | 0.1783 | 18.8103 |
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### Framework versions
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- Transformers 4.35.2
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- Pytorch 2.1.2+cu121
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- Datasets 2.16.1
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- Tokenizers 0.15.0
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generation_config.json
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{
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"decoder_start_token_id": 0,
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"eos_token_id": 1,
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"pad_token_id": 0,
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"transformers_version": "4.35.2"
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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size 1470068592
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version https://git-lfs.github.com/spec/v1
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size 1470068592
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runs/Jan05_18-43-29_085f356a0133/events.out.tfevents.1704480211.085f356a0133.93.0
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version https://git-lfs.github.com/spec/v1
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size
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size 9675
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