update model card README.md

README.md

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+---
+license: apache-2.0
+base_model: Helsinki-NLP/opus-mt-ja-en
+tags:
+- generated_from_trainer
+metrics:
+- bleu
+model-index:
+- name: ruby-rails-fine-tuned-ja-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. -->
+
+# ruby-rails-fine-tuned-ja-en
+
+This model is a fine-tuned version of [Helsinki-NLP/opus-mt-ja-en](https://huggingface.co/Helsinki-NLP/opus-mt-ja-en) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.6632
+- Bleu: 0.3309
+- Chrf: 65.6928
+
+## 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
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Bleu   | Chrf    |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|
+| No log        | 1.0   | 23   | 1.7526          | 0.3133 | 64.6743 |
+| No log        | 2.0   | 46   | 1.6831          | 0.3396 | 66.1705 |
+| No log        | 3.0   | 69   | 1.6632          | 0.3309 | 65.6928 |
+
+
+### Framework versions
+
+- Transformers 4.31.0
+- Pytorch 2.6.0
+- Datasets 3.5.0
+- Tokenizers 0.13.3