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--- |
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license: mit |
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base_model: facebook/mbart-large-50 |
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tags: |
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- generated_from_keras_callback |
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model-index: |
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- name: mbart-finetuned-hindi-3012 |
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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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# mbart-finetuned-hindi-3012 |
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This model is a fine-tuned version of [facebook/mbart-large-50](https://huggingface.co./facebook/mbart-large-50) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Train Loss: 0.4568 |
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- Validation Loss: 1.0632 |
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- Epoch: 3 |
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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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| 0.9287 | 0.9910 | 0 | |
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| 0.7548 | 0.9679 | 1 | |
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| 0.5955 | 1.0150 | 2 | |
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| 0.4568 | 1.0632 | 3 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- TensorFlow 2.15.0 |
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- Datasets 2.16.0 |
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- Tokenizers 0.15.0 |
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