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update model card README.md

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+ ---
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+ license: cc-by-4.0
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+ tags:
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+ - generated_from_trainer
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+ datasets:
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+ - wmt16
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+ metrics:
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+ - bleu
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+ model-index:
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+ - name: opus-mt-tc-big-en-tr-finetuned-en-to-tr
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+ results:
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+ - task:
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+ name: Sequence-to-sequence Language Modeling
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+ type: text2text-generation
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+ dataset:
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+ name: wmt16
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+ type: wmt16
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+ config: tr-en
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+ split: validation
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+ args: tr-en
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+ metrics:
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+ - name: Bleu
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+ type: bleu
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+ value: 19.8227
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+ ---
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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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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # opus-mt-tc-big-en-tr-finetuned-en-to-tr
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+
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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: 1.6141
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+ - Bleu: 19.8227
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+ - Gen Len: 23.0539
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 2e-05
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+ - train_batch_size: 16
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+ - eval_batch_size: 16
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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: 1
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+ - mixed_precision_training: Native AMP
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
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+ |:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|
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+ | 0.981 | 1.0 | 12860 | 1.6141 | 19.8227 | 23.0539 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.27.4
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+ - Pytorch 1.13.1+cu116
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+ - Datasets 2.11.0
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+ - Tokenizers 0.13.2