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--- |
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license: apache-2.0 |
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base_model: Helsinki-NLP/opus-mt-en-zh |
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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-en-zh-wrongexample |
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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-en-zh-wrongexample |
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This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-zh](https://huggingface.co/Helsinki-NLP/opus-mt-en-zh) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Train Loss: 3.9015 |
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- Validation Loss: 3.9649 |
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- Train Bleu: 0.1014 |
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- Train Gen Len: 37.3882 |
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- Epoch: 2 |
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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 Bleu | Train Gen Len | Epoch | |
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|:----------:|:---------------:|:----------:|:-------------:|:-----:| |
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| 4.5333 | 4.0220 | 0.0103 | 102.4 | 0 | |
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| 4.1235 | 3.9722 | 0.0104 | 102.6824 | 1 | |
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| 3.9015 | 3.9649 | 0.1014 | 37.3882 | 2 | |
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### Framework versions |
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- Transformers 4.41.2 |
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- TensorFlow 2.15.0 |
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- Datasets 2.19.2 |
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- Tokenizers 0.19.1 |
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