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

Text2Text Generation Transformers PyTorch TensorBoard marian generated_from_trainer Inference Endpoints
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  1. README.md +14 -4
  2. config.json +1 -1
  3. pytorch_model.bin +1 -1
  4. runs/Sep07_01-08-17_245528ade5de/1630976964.5270536/events.out.tfevents.1630976964.245528ade5de.74.5 +3 -0
  5. runs/Sep07_01-08-17_245528ade5de/events.out.tfevents.1630976964.245528ade5de.74.4 +3 -0
  6. runs/Sep07_01-10-32_245528ade5de/1630977053.4096725/events.out.tfevents.1630977053.245528ade5de.74.7 +3 -0
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  8. runs/Sep07_01-13-23_245528ade5de/1630977235.137169/events.out.tfevents.1630977235.245528ade5de.74.9 +3 -0
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  14. runs/Sep07_01-18-08_245528ade5de/1630977496.2254434/events.out.tfevents.1630977496.245528ade5de.997.5 +3 -0
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  17. runs/Sep07_01-19-23_245528ade5de/events.out.tfevents.1630977567.245528ade5de.1246.0 +3 -0
  18. training_args.bin +1 -1
README.md CHANGED
@@ -1,12 +1,18 @@
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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
@@ -14,7 +20,11 @@ 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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  ## Model description
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@@ -44,9 +54,9 @@ 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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- | No log | 1.0 | 247 | 0.5317 | 67.793 | 16.3208 |
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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: 61.9426
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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 [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: 0.5706
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+ - Bleu: 61.9426
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+ - Gen Len: 16.5036
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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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+ | 1.0668 | 1.0 | 247 | 0.5706 | 61.9426 | 16.5036 |
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  ### Framework versions
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