oguzhanmeteozturk
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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: 19.
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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-tc-big-en-tr](https://huggingface.co/Helsinki-NLP/opus-mt-tc-big-en-tr) 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: 19.
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- Gen Len: 23.
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
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|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|
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| 0.
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### Framework versions
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- Transformers 4.
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- Pytorch
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- Datasets 2.
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- Tokenizers 0.13.
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metrics:
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- name: Bleu
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type: bleu
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value: 19.8042
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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-tc-big-en-tr](https://huggingface.co/Helsinki-NLP/opus-mt-tc-big-en-tr) on the wmt16 dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.6132
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- Bleu: 19.8042
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- Gen Len: 23.0739
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
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|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|
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| 0.9813 | 1.0 | 12860 | 1.6132 | 19.8042 | 23.0739 |
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### Framework versions
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- Transformers 4.29.2
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- Pytorch 2.0.1+cu117
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- Datasets 2.13.1
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- Tokenizers 0.13.3
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