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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: my_awesome_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_awesome_model |
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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: 0.0131 |
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- Bleu: 97.9438 |
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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: 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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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Bleu | |
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|:-------------:|:-----:|:----:|:---------------:|:-------:| |
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| No log | 1.0 | 50 | 4.6250 | 52.3906 | |
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| No log | 2.0 | 100 | 0.5771 | 66.2019 | |
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| No log | 3.0 | 150 | 0.1341 | 77.5175 | |
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| No log | 4.0 | 200 | 0.0740 | 87.7725 | |
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| No log | 5.0 | 250 | 0.0518 | 90.5727 | |
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| No log | 6.0 | 300 | 0.0372 | 92.5823 | |
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| No log | 7.0 | 350 | 0.0298 | 94.3032 | |
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| No log | 8.0 | 400 | 0.0252 | 95.3759 | |
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| No log | 9.0 | 450 | 0.0218 | 96.2749 | |
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| 1.3109 | 10.0 | 500 | 0.0191 | 96.4118 | |
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| 1.3109 | 11.0 | 550 | 0.0166 | 97.1165 | |
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| 1.3109 | 12.0 | 600 | 0.0149 | 98.0447 | |
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| 1.3109 | 13.0 | 650 | 0.0139 | 97.8950 | |
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| 1.3109 | 14.0 | 700 | 0.0134 | 97.8386 | |
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| 1.3109 | 15.0 | 750 | 0.0131 | 97.9438 | |
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### Framework versions |
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- Transformers 4.37.0 |
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- Pytorch 2.1.2 |
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- Datasets 2.1.0 |
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- Tokenizers 0.15.1 |
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