add model
Browse files
README.md
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metric:
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name: Bleu
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type: bleu
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value:
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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.
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- Bleu:
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- Gen Len: 16.
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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:
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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.
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| 0.
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| 0.
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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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pytorch_model.bin
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runs/Oct20_04-33-50_f0dc61a31061/1634704461.409458/events.out.tfevents.1634704461.f0dc61a31061.79.1
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training_args.bin
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