update model card README.md

README.md

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+---
+license: apache-2.0
+tags:
+- translation
+- generated_from_trainer
+metrics:
+- bleu
+model-index:
+- name: model-translate-en-to-ar-from-120k-dataset-ar-en-th230111447
+  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. -->
+
+# model-translate-en-to-ar-from-120k-dataset-ar-en-th230111447
+
+This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-ar](https://huggingface.co/Helsinki-NLP/opus-mt-en-ar) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.8730
+- Bleu: 20.6264
+
+## 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: 8
+- eval_batch_size: 8
+- 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    |
+|:-------------:|:-----:|:-----:|:---------------:|:-------:|
+| 1.7641        | 1.0   | 12500 | 1.8958          | 20.0677 |
+| 1.8961        | 2.0   | 25000 | 1.8788          | 20.5618 |
+| 1.9399        | 3.0   | 37500 | 1.8730          | 20.6264 |
+
+
+### Framework versions
+
+- Transformers 4.25.1
+- Pytorch 1.13.0+cu116
+- Datasets 2.8.0
+- Tokenizers 0.13.2