update model card README.md

README.md

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+---
+license: apache-2.0
+base_model: sephinroth/marian-finetuned-kftt-ja-to-en
+tags:
+- translation
+- generated_from_trainer
+datasets:
+- kftt
+metrics:
+- bleu
+model-index:
+- name: marian-finetuned-kftt-ja-to-en-jesc
+  results:
+  - task:
+      name: Sequence-to-sequence Language Modeling
+      type: text2text-generation
+    dataset:
+      name: kftt
+      type: kftt
+      config: en-ja
+      split: test
+      args: en-ja
+    metrics:
+    - name: Bleu
+      type: bleu
+      value: 10.183271801052467
+---
+
+<!-- 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. -->
+
+# marian-finetuned-kftt-ja-to-en-jesc
+
+This model is a fine-tuned version of [sephinroth/marian-finetuned-kftt-ja-to-en](https://huggingface.co/sephinroth/marian-finetuned-kftt-ja-to-en) on the kftt dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.5527
+- Bleu: 10.1833
+
+## 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: 32
+- eval_batch_size: 64
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 1
+
+### Training results
+
+
+
+### Framework versions
+
+- Transformers 4.31.0
+- Pytorch 2.0.1+cu118
+- Datasets 2.14.0
+- Tokenizers 0.13.3