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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: jijo/opus-mt-en-ml-finetuned-en-to-ml |
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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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# jijo/opus-mt-en-ml-finetuned-en-to-ml |
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This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-ml](https://huggingface.co/Helsinki-NLP/opus-mt-en-ml) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Train Loss: 2.5102 |
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- Validation Loss: 2.2501 |
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- Train Bleu: 3.8750 |
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- Train Gen Len: 20.6042 |
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- Epoch: 0 |
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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': 0.0002, '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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| 2.5102 | 2.2501 | 3.8750 | 20.6042 | 0 | |
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### Framework versions |
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- Transformers 4.19.2 |
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- TensorFlow 2.8.2 |
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- Datasets 2.2.2 |
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- Tokenizers 0.12.1 |
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