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opus-mt-ja-en-finetuned-ja-to-en_test

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add model

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Files changed (5) hide show
  1. README.md +7 -7
  2. pytorch_model.bin +1 -1
  3. runs/Oct19_02-36-27_207b137ee9fb/1634611003.2024386/events.out.tfevents.1634611003.207b137ee9fb.76.3 +3 -0
  4. runs/Oct19_02-36-27_207b137ee9fb/events.out.tfevents.1634611003.207b137ee9fb.76.2 +3 -0
  5. training_args.bin +1 -1
README.md CHANGED
@@ -13,7 +13,7 @@ model_index:
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  metric:
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  name: Bleu
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  type: bleu
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- value: 62.3932
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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
@@ -23,9 +23,9 @@ should probably proofread and complete it, then remove this comment. -->
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  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 unkown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.5686
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- - Bleu: 62.3932
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- - Gen Len: 16.3756
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  ## Model description
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@@ -55,9 +55,9 @@ The following hyperparameters were used during training:
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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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- | 1.0676 | 1.0 | 247 | 0.5686 | 62.3932 | 16.3756 |
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  ### Framework versions
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  metric:
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  name: Bleu
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  type: bleu
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+ value: 62.478
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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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  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 unkown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.5744
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+ - Bleu: 62.478
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+ - Gen Len: 16.3807
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  ## Model description
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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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+ | 1.0649 | 1.0 | 247 | 0.5744 | 62.478 | 16.3807 |
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  ### Framework versions
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