update model card README.md

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+datasets:
+- opus_infopankki
+metrics:
+- bleu
+model-index:
+- name: opus-mt-tr-en-finetuned-tr-to-en
+  results:
+  - task:
+      name: Sequence-to-sequence Language Modeling
+      type: text2text-generation
+    dataset:
+      name: opus_infopankki
+      type: opus_infopankki
+      args: en-tr
+    metrics:
+    - name: Bleu
+      type: bleu
+      value: 56.617
+---
+
+<!-- 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-tr-to-en
+
+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 opus_infopankki dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6321
+- Bleu: 56.617
+- Gen Len: 13.5983
+
+## 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: 64
+- eval_batch_size: 64
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 30
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Bleu    | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
+| No log        | 1.0   | 241  | 1.2487          | 41.0053 | 13.0461 |
+| No log        | 2.0   | 482  | 1.1630          | 43.1077 | 13.0386 |
+| 1.4091        | 3.0   | 723  | 1.0992          | 44.6583 | 13.0445 |
+| 1.4091        | 4.0   | 964  | 1.0463          | 45.5931 | 13.0289 |
+| 1.2325        | 5.0   | 1205 | 1.0012          | 46.7039 | 12.9998 |
+| 1.2325        | 6.0   | 1446 | 0.9610          | 47.6783 | 13.0274 |
+| 1.1284        | 7.0   | 1687 | 0.9262          | 48.622  | 12.9866 |
+| 1.1284        | 8.0   | 1928 | 0.8939          | 48.4984 | 13.5762 |
+| 1.0486        | 9.0   | 2169 | 0.8642          | 49.1496 | 13.5918 |
+| 1.0486        | 10.0  | 2410 | 0.8391          | 49.8875 | 13.5905 |
+| 0.9866        | 11.0  | 2651 | 0.8150          | 50.6447 | 13.5803 |
+| 0.9866        | 12.0  | 2892 | 0.7941          | 51.2059 | 13.5731 |
+| 0.9362        | 13.0  | 3133 | 0.7741          | 51.7071 | 13.5754 |
+| 0.9362        | 14.0  | 3374 | 0.7564          | 52.4185 | 13.5781 |
+| 0.8928        | 15.0  | 3615 | 0.7398          | 53.0814 | 13.5744 |
+| 0.8928        | 16.0  | 3856 | 0.7247          | 53.5711 | 13.5783 |
+| 0.8598        | 17.0  | 4097 | 0.7111          | 54.0559 | 13.568  |
+| 0.8598        | 18.0  | 4338 | 0.6988          | 54.5188 | 13.5598 |
+| 0.8274        | 19.0  | 4579 | 0.6876          | 54.78   | 13.5765 |
+| 0.8274        | 20.0  | 4820 | 0.6780          | 55.1494 | 13.5762 |
+| 0.8086        | 21.0  | 5061 | 0.6688          | 55.5813 | 13.5788 |
+| 0.8086        | 22.0  | 5302 | 0.6610          | 55.6403 | 13.5796 |
+| 0.7878        | 23.0  | 5543 | 0.6539          | 55.7731 | 13.5989 |
+| 0.7878        | 24.0  | 5784 | 0.6483          | 55.9956 | 13.593  |
+| 0.7718        | 25.0  | 6025 | 0.6432          | 56.2303 | 13.5904 |
+| 0.7718        | 26.0  | 6266 | 0.6390          | 56.4825 | 13.5975 |
+| 0.7633        | 27.0  | 6507 | 0.6360          | 56.5334 | 13.5958 |
+| 0.7633        | 28.0  | 6748 | 0.6338          | 56.5357 | 13.5965 |
+| 0.7633        | 29.0  | 6989 | 0.6325          | 56.5862 | 13.5974 |
+| 0.7584        | 30.0  | 7230 | 0.6321          | 56.617  | 13.5983 |
+
+
+### Framework versions
+
+- Transformers 4.20.1
+- Pytorch 1.12.0
+- Datasets 2.3.2
+- Tokenizers 0.12.1