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README.md
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---
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tags:
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- generated_from_trainer
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metrics:
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- bleu
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model-index:
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- name: mbart-large-cc25-finetuned-source-to-target
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results: []
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# mbart-large-cc25-finetuned-source-to-target
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This model is a fine-tuned version of [facebook/mbart-large-cc25](https://huggingface.co/facebook/mbart-large-cc25) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 3.9185
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- Bleu: 0.0
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- Gen Len: 2.0
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## Model description
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs:
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
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|:-------------:|:-----:|:----:|:---------------:|:----:|:-------:|
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| 5.6336 | 1.0 | 898 | 3.9185 | 0.0 | 2.0 |
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### Framework versions
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- Transformers 4.17.0
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---
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tags:
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- generated_from_trainer
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model-index:
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- name: mbart-large-cc25-finetuned-source-to-target
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results: []
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# mbart-large-cc25-finetuned-source-to-target
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This model is a fine-tuned version of [facebook/mbart-large-cc25](https://huggingface.co/facebook/mbart-large-cc25) on an unknown dataset.
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## Model description
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 2
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- mixed_precision_training: Native AMP
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### Framework versions
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- Transformers 4.17.0
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