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update model card README.md
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README.md
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metrics:
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- name: Bleu
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type: bleu
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value:
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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@@ -29,9 +29,9 @@ should probably proofread and complete it, then remove this comment. -->
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This model is a fine-tuned version of [Helsinki-NLP/opus-mt-de-en](https://huggingface.co/Helsinki-NLP/opus-mt-de-en) on the wmt16 dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.
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- Bleu:
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- Gen Len: 25.
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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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| No log | 1.0 | 157 | 1.
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### Framework versions
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metrics:
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- name: Bleu
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type: bleu
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value: 38.959
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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This model is a fine-tuned version of [Helsinki-NLP/opus-mt-de-en](https://huggingface.co/Helsinki-NLP/opus-mt-de-en) on the wmt16 dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.1719
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- Bleu: 38.959
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- Gen Len: 25.2812
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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: 5
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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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| No log | 1.0 | 157 | 1.1492 | 39.2552 | 25.2268 |
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| No log | 2.0 | 314 | 1.1601 | 38.8343 | 25.2288 |
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| No log | 3.0 | 471 | 1.1651 | 39.0092 | 25.254 |
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| 1.8512 | 4.0 | 628 | 1.1704 | 38.9281 | 25.2756 |
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| 1.8512 | 5.0 | 785 | 1.1719 | 38.959 | 25.2812 |
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### Framework versions
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