update model card README.md

README.md

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+---
+license: apache-2.0
+base_model: Helsinki-NLP/opus-tatoeba-en-ja
+tags:
+- generated_from_trainer
+datasets:
+- tatoeba_mt
+metrics:
+- bleu
+model-index:
+- name: opus-tatoeba-en-ja-finetuned-eng-to-jpn_Hani
+  results:
+  - task:
+      name: Sequence-to-sequence Language Modeling
+      type: text2text-generation
+    dataset:
+      name: tatoeba_mt
+      type: tatoeba_mt
+      config: eng-jpn_Hani
+      split: test
+      args: eng-jpn_Hani
+    metrics:
+    - name: Bleu
+      type: bleu
+      value: 0.0
+---
+
+<!-- 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-tatoeba-en-ja-finetuned-eng-to-jpn_Hani
+
+This model is a fine-tuned version of [Helsinki-NLP/opus-tatoeba-en-ja](https://huggingface.co/Helsinki-NLP/opus-tatoeba-en-ja) on the tatoeba_mt dataset.
+It achieves the following results on the evaluation set:
+- Loss: 6.4742
+- Bleu: 0.0
+- Gen Len: 18.9426
+
+## 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: 1
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:----:|:-------:|
+| 6.4645        | 1.0   | 1244 | 6.4742          | 0.0  | 18.9426 |
+
+
+### Framework versions
+
+- Transformers 4.31.0
+- Pytorch 2.0.1+cu118
+- Datasets 2.14.4
+- Tokenizers 0.13.3