Edomonndo commited on
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1 Parent(s): 316153b
README.md CHANGED
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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
@@ -21,10 +15,6 @@ should probably proofread and complete it, then remove this comment. -->
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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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  - 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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  ---
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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 [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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  ## Model description
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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: 1
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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 | 3.2331 | 26.2316 | 11.0674 |
 
 
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  ### Framework versions
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