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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: MaryaAI/opus-mt-ar-en-finetunedQAdata-v1-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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# MaryaAI/opus-mt-ar-en-finetunedQAdata-v1-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: 0.0107 |
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- Validation Loss: 13.3525 |
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- Epoch: 14 |
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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 | Epoch | |
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|:----------:|:---------------:|:-----:| |
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| 0.0172 | 5.3634 | 0 | |
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| 0.0172 | 5.4425 | 1 | |
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| 0.0159 | 5.3352 | 2 | |
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| 0.0145 | 9.1362 | 3 | |
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| 0.0132 | 8.4351 | 4 | |
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| 0.0137 | 7.6532 | 5 | |
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| 0.0126 | 6.9906 | 6 | |
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| 0.0116 | 5.9004 | 7 | |
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| 0.0114 | 10.3094 | 8 | |
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| 0.0128 | 8.9979 | 9 | |
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| 0.0112 | 7.7707 | 10 | |
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| 0.0115 | 6.7981 | 11 | |
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| 0.0093 | 7.2101 | 12 | |
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| 0.0081 | 6.5985 | 13 | |
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| 0.0107 | 13.3525 | 14 | |
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### Framework versions |
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- Transformers 4.19.2 |
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- TensorFlow 2.8.0 |
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- Datasets 2.2.1 |
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- Tokenizers 0.12.1 |
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