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

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  1. README.md +15 -8
  2. pytorch_model.bin +1 -1
  3. runs/Oct20_04-33-50_f0dc61a31061/1634704461.409458/events.out.tfevents.1634704461.f0dc61a31061.79.1 +3 -0
  4. runs/Oct20_04-33-50_f0dc61a31061/events.out.tfevents.1634704461.f0dc61a31061.79.0 +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: 76.0826
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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: 0.4001
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- - Bleu: 76.0826
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- - Gen Len: 16.4264
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  ## Model description
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@@ -50,16 +50,23 @@ The following hyperparameters were used during training:
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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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- | 1.1048 | 1.0 | 247 | 0.5843 | 62.1912 | 16.2467 |
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- | 0.487 | 2.0 | 494 | 0.4414 | 71.5439 | 16.4904 |
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- | 0.2689 | 3.0 | 741 | 0.4001 | 76.0826 | 16.4264 |
 
 
 
 
 
 
 
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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: 80.2723
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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: 0.4737
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+ - Bleu: 80.2723
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+ - Gen Len: 16.5492
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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: 10
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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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+ | 1.1237 | 1.0 | 247 | 0.6131 | 60.9383 | 16.4152 |
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+ | 0.5395 | 2.0 | 494 | 0.5274 | 67.5705 | 16.2883 |
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+ | 0.3584 | 3.0 | 741 | 0.5122 | 71.3098 | 16.3777 |
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+ | 0.2563 | 4.0 | 988 | 0.4887 | 73.6639 | 16.401 |
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+ | 0.138 | 5.0 | 1235 | 0.4796 | 76.7942 | 16.4873 |
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+ | 0.0979 | 6.0 | 1482 | 0.4849 | 76.9404 | 16.6162 |
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+ | 0.0792 | 7.0 | 1729 | 0.4806 | 78.9831 | 16.5442 |
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+ | 0.0569 | 8.0 | 1976 | 0.4765 | 79.3461 | 16.4873 |
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+ | 0.0299 | 9.0 | 2223 | 0.4751 | 79.7901 | 16.4863 |
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+ | 0.0204 | 10.0 | 2470 | 0.4737 | 80.2723 | 16.5492 |
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  ### Framework versions
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