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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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- rouge |
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model-index: |
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- name: t5-finetuned-ar-to-arsl |
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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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# t5-finetuned-ar-to-arsl |
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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: 0.4184 |
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- Rouge1: 0.0 |
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- Rouge2: 0.0 |
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- Rougel: 0.0 |
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- Rougelsum: 0.0 |
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- Gen Len: 5.2837 |
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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: 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 | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:| |
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| 1.7177 | 1.0 | 631 | 0.5319 | 0.0 | 0.0 | 0.0 | 0.0 | 5.1458 | |
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| 0.648 | 2.0 | 1262 | 0.4079 | 0.0 | 0.0 | 0.0 | 0.0 | 5.1918 | |
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| 0.4575 | 3.0 | 1893 | 0.3779 | 0.0 | 0.0 | 0.0 | 0.0 | 5.2567 | |
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| 0.3147 | 4.0 | 2524 | 0.3666 | 0.0 | 0.0 | 0.0 | 0.0 | 5.2662 | |
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| 0.2603 | 5.0 | 3155 | 0.3682 | 0.0 | 0.0 | 0.0 | 0.0 | 5.2726 | |
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| 0.2376 | 6.0 | 3786 | 0.3755 | 0.0 | 0.0 | 0.0 | 0.0 | 5.2758 | |
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| 0.2157 | 7.0 | 4417 | 0.3767 | 0.0 | 0.0 | 0.0 | 0.0 | 5.2821 | |
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| 0.182 | 8.0 | 5048 | 0.3994 | 0.0 | 0.0 | 0.0 | 0.0 | 5.2821 | |
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| 0.1631 | 9.0 | 5679 | 0.3910 | 0.0 | 0.0 | 0.0 | 0.0 | 5.2868 | |
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| 0.1526 | 10.0 | 6310 | 0.3991 | 0.0 | 0.0 | 0.0 | 0.0 | 5.2853 | |
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| 0.1463 | 11.0 | 6941 | 0.4110 | 0.0 | 0.0 | 0.0 | 0.0 | 5.2805 | |
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| 0.1301 | 12.0 | 7572 | 0.4094 | 0.0 | 0.0 | 0.0 | 0.0 | 5.2805 | |
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| 0.1278 | 13.0 | 8203 | 0.4126 | 0.0 | 0.0 | 0.0 | 0.0 | 5.2821 | |
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| 0.1253 | 14.0 | 8834 | 0.4184 | 0.0 | 0.0 | 0.0 | 0.0 | 5.2837 | |
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| 0.1165 | 15.0 | 9465 | 0.4184 | 0.0 | 0.0 | 0.0 | 0.0 | 5.2837 | |
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### Framework versions |
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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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