Sobeih22 commited on
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End of training

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README.md ADDED
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+ ---
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+ license: apache-2.0
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+ base_model: PRAli22/arat5-arabic-dialects-translation
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+ tags:
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+ - generated_from_trainer
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+ metrics:
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+ - bleu
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+ model-index:
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+ - name: t5-finetuned-ar-to-arsl3
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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-finetuned-ar-to-arsl3
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+
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+ This model is a fine-tuned version of [PRAli22/arat5-arabic-dialects-translation](https://huggingface.co/PRAli22/arat5-arabic-dialects-translation) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.3891
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+ - Bleu: 0.9525
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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: 0.0001
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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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+ - gradient_accumulation_steps: 8
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+ - total_train_batch_size: 64
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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: 15
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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 | Bleu |
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+ |:-------------:|:-----:|:----:|:---------------:|:------:|
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+ | No log | 0.99 | 78 | 0.4271 | 0.9497 |
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+ | No log | 1.99 | 157 | 0.3818 | 0.9485 |
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+ | No log | 2.99 | 236 | 0.3428 | 0.9526 |
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+ | No log | 3.99 | 315 | 0.3173 | 0.9527 |
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+ | No log | 5.0 | 394 | 0.3344 | 0.9518 |
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+ | No log | 6.0 | 473 | 0.3455 | 0.9536 |
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+ | 0.0868 | 7.0 | 552 | 0.3598 | 0.9525 |
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+ | 0.0868 | 8.0 | 631 | 0.3672 | 0.9543 |
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+ | 0.0868 | 8.99 | 709 | 0.3574 | 0.9537 |
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+ | 0.0868 | 9.99 | 788 | 0.3664 | 0.9505 |
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+ | 0.0868 | 10.99 | 867 | 0.3750 | 0.9529 |
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+ | 0.0868 | 11.99 | 946 | 0.3805 | 0.9538 |
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+ | 0.054 | 13.0 | 1025 | 0.3885 | 0.9541 |
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+ | 0.054 | 14.0 | 1104 | 0.3874 | 0.9525 |
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+ | 0.054 | 14.83 | 1170 | 0.3891 | 0.9525 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.39.3
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+ - Pytorch 2.1.2
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+ - Datasets 2.18.0
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+ - Tokenizers 0.15.2
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+ "decoder_start_token_id": 0,
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+ "transformers_version": "4.39.3"
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+ }
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