update model card README.md

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+datasets:
+- wmt14
+model-index:
+- name: opus-mt-de-en-finetuned-de-to-en
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# opus-mt-de-en-finetuned-de-to-en
+
+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 wmt14 dataset.
+It achieves the following results on the evaluation set:
+- eval_loss: 1.3411
+- eval_bleu: 32.4395
+- eval_gen_len: 29.6925
+- eval_runtime: 2250.0489
+- eval_samples_per_second: 19.998
+- eval_steps_per_second: 0.625
+- epoch: 3.0
+- step: 4221
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 2e-06
+- train_batch_size: 32
+- eval_batch_size: 32
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 11
+- mixed_precision_training: Native AMP
+
+### Framework versions
+
+- Transformers 4.19.2
+- Pytorch 1.7.1+cu110
+- Datasets 2.2.2
+- Tokenizers 0.12.1