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End of training

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README.md ADDED
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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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+
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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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+
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+ # t5-arabic-text-summarization-finetuned-xsum
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+
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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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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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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+
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+ ### Training results
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+
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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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+
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+
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+ ### Framework versions
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+
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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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+ "T5ForConditionalGeneration"
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+ ],
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+ "layer_norm_epsilon": 1e-06,
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+ "output_past": true,
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.36.2",
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+ "use_cache": true,
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+ "vocab_size": 110080
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+ }
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