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README.md
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---
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tags:
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- generated_from_trainer
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model_index:
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- name: opus-mt-ja-en-finetuned-ja-to-en_test
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results:
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- task:
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name: Sequence-to-sequence Language Modeling
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type: text2text-generation
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# opus-mt-ja-en-finetuned-ja-to-en_test
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This model is a fine-tuned version of [
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## Model description
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The following hyperparameters were used during training:
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- learning_rate: 5e-05
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- train_batch_size:
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- eval_batch_size:
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs:
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
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| No log | 1.0 |
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### Framework versions
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---
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tags:
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- generated_from_trainer
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metrics:
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- bleu
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model_index:
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- name: opus-mt-ja-en-finetuned-ja-to-en_test
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results:
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- task:
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name: Sequence-to-sequence Language Modeling
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type: text2text-generation
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metric:
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name: Bleu
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type: bleu
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value: 27.3816
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# opus-mt-ja-en-finetuned-ja-to-en_test
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This model is a fine-tuned version of [Edomonndo/opus-mt-ja-en-finetuned-ja-to-en_test](https://huggingface.co/Edomonndo/opus-mt-ja-en-finetuned-ja-to-en_test) on an unkown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 3.1649
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- Bleu: 27.3816
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- Gen Len: 11.2584
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## Model description
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The following hyperparameters were used during training:
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- learning_rate: 5e-05
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- train_batch_size: 16
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- eval_batch_size: 16
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 3
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
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| No log | 1.0 | 20 | 3.2689 | 24.1516 | 11.3483 |
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| No log | 2.0 | 40 | 3.1899 | 26.5309 | 10.618 |
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| No log | 3.0 | 60 | 3.1649 | 27.3816 | 11.2584 |
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### Framework versions
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config.json
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