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opus-mt-ja-en-finetuned-ja-to-en_xml

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add model

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Files changed (7) hide show
  1. README.md +15 -6
  2. pytorch_model.bin +1 -1
  3. runs/Dec04_08-10-17_0555d0489403/1638605423.6123514/events.out.tfevents.1638605423.0555d0489403.772.1 +3 -0
  4. runs/Dec04_08-10-17_0555d0489403/events.out.tfevents.1638605423.0555d0489403.772.0 +3 -0
  5. runs/Dec04_08-15-21_0555d0489403/1638605727.360147/events.out.tfevents.1638605727.0555d0489403.941.1 +3 -0
  6. runs/Dec04_08-15-21_0555d0489403/events.out.tfevents.1638605727.0555d0489403.941.0 +3 -0
  7. 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: 67.5347
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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: 0.5932
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- - Bleu: 67.5347
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- - Gen Len: 27.1941
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  ## Model description
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@@ -50,14 +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: 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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- | 0.8055 | 1.0 | 748 | 0.5932 | 67.5347 | 27.1941 |
 
 
 
 
 
 
 
 
 
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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: 73.8646
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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: 0.7520
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+ - Bleu: 73.8646
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+ - Gen Len: 27.0884
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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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+ | 1.0512 | 1.0 | 748 | 0.8333 | 59.8234 | 27.905 |
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+ | 0.6076 | 2.0 | 1496 | 0.7817 | 62.5606 | 26.1834 |
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+ | 0.4174 | 3.0 | 2244 | 0.7817 | 64.8346 | 28.2918 |
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+ | 0.2971 | 4.0 | 2992 | 0.7653 | 67.6013 | 27.2222 |
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+ | 0.2172 | 5.0 | 3740 | 0.7295 | 69.4017 | 27.0174 |
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+ | 0.1447 | 6.0 | 4488 | 0.7522 | 68.8355 | 28.2865 |
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+ | 0.0953 | 7.0 | 5236 | 0.7596 | 71.4743 | 27.1861 |
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+ | 0.0577 | 8.0 | 5984 | 0.7469 | 72.0684 | 26.921 |
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+ | 0.04 | 9.0 | 6732 | 0.7526 | 73.2821 | 27.1365 |
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+ | 0.0213 | 10.0 | 7480 | 0.7520 | 73.8646 | 27.0884 |
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  ### Framework versions
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