update model card README.md

README.md

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+---
+tags:
+- translation
+- generated_from_trainer
+metrics:
+- bleu
+model-index:
+- name: en2arCkptfromgendata_02
+  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. -->
+
+# en2arCkptfromgendata_02
+
+This model is a fine-tuned version of [Shularp/en2arCkptfromgendata_01](https://huggingface.co/Shularp/en2arCkptfromgendata_01) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.4830
+- Bleu: 37.6862
+
+## 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: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Bleu    |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|
+| 0.5739        | 1.0   | 38   | 1.4830          | 37.6862 |
+| 0.5953        | 2.0   | 76   | 1.4830          | 37.6862 |
+| 0.5959        | 3.0   | 114  | 1.4830          | 37.6862 |
+| 0.586         | 4.0   | 152  | 1.4830          | 37.6862 |
+| 0.6381        | 5.0   | 190  | 1.4830          | 37.6862 |
+| 0.6583        | 6.0   | 228  | 1.4830          | 37.6862 |
+| 0.6627        | 7.0   | 266  | 1.4830          | 37.6862 |
+| 0.7228        | 8.0   | 304  | 1.4830          | 37.6862 |
+| 0.6493        | 9.0   | 342  | 1.4830          | 37.6862 |
+| 0.6138        | 10.0  | 380  | 1.4830          | 37.6862 |
+
+
+### Framework versions
+
+- Transformers 4.30.2
+- Pytorch 2.0.1+cu118
+- Datasets 2.12.0
+- Tokenizers 0.13.3