update model card README.md

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+datasets:
+- wmt16
+metrics:
+- bleu
+model-index:
+- name: opus-mt-tr-en-finetuned-en-to-tr
+  results:
+  - task:
+      name: Sequence-to-sequence Language Modeling
+      type: text2text-generation
+    dataset:
+      name: wmt16
+      type: wmt16
+      config: tr-en
+      split: train
+      args: tr-en
+    metrics:
+    - name: Bleu
+      type: bleu
+      value: 6.471
+---
+
+<!-- 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-tr-en-finetuned-en-to-tr
+
+This model is a fine-tuned version of [Helsinki-NLP/opus-mt-tr-en](https://huggingface.co/Helsinki-NLP/opus-mt-tr-en) on the wmt16 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.9429
+- Bleu: 6.471
+- Gen Len: 56.1688
+
+## 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-05
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 3
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Bleu   | Gen Len |
+|:-------------:|:-----:|:-----:|:---------------:|:------:|:-------:|
+| 1.5266        | 1.0   | 12860 | 2.2526          | 4.5834 | 55.6563 |
+| 1.2588        | 2.0   | 25720 | 2.0113          | 5.9203 | 56.3506 |
+| 1.1878        | 3.0   | 38580 | 1.9429          | 6.471  | 56.1688 |
+
+
+### Framework versions
+
+- Transformers 4.25.1
+- Pytorch 1.13.1+cu116
+- Datasets 2.8.0
+- Tokenizers 0.13.2