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--- |
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license: apache-2.0 |
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tags: |
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- generated_from_keras_callback |
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model-index: |
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- name: opus-mt-ar-en-finetunedTanzil-v7-ar-to-en |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information Keras had access to. You should |
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probably proofread and complete it, then remove this comment. --> |
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# opus-mt-ar-en-finetunedTanzil-v7-ar-to-en |
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This model is a fine-tuned version of [Helsinki-NLP/opus-mt-ar-en](https://huggingface.co/Helsinki-NLP/opus-mt-ar-en) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Train Loss: 0.1919 |
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- Validation Loss: 0.5047 |
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- Train Rouge1: 49.6877 |
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- Train Rouge2: 25.9574 |
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- Train Rougel: 45.2590 |
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- Train Rougelsum: 45.7464 |
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- Train Gen Len: 85.57 |
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- Epoch: 4 |
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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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- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01} |
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- training_precision: float32 |
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### Training results |
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| Train Loss | Validation Loss | Train Rouge1 | Train Rouge2 | Train Rougel | Train Rougelsum | Train Gen Len | Epoch | |
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|:----------:|:---------------:|:------------:|:------------:|:------------:|:---------------:|:-------------:|:-----:| |
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| 0.1959 | 0.5105 | 48.2182 | 23.4978 | 44.1127 | 44.6422 | 87.45 | 0 | |
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| 0.1950 | 0.5114 | 49.5777 | 25.1663 | 45.7183 | 46.0930 | 86.72 | 1 | |
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| 0.1937 | 0.5074 | 49.1793 | 24.1899 | 45.3374 | 45.5902 | 84.805 | 2 | |
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| 0.1929 | 0.5075 | 49.1553 | 24.8199 | 44.7342 | 45.1392 | 87.495 | 3 | |
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| 0.1919 | 0.5047 | 49.6877 | 25.9574 | 45.2590 | 45.7464 | 85.57 | 4 | |
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### Framework versions |
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- Transformers 4.17.0.dev0 |
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- TensorFlow 2.7.0 |
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- Datasets 1.18.4.dev0 |
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- Tokenizers 0.10.3 |
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