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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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add model

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  1. README.md +17 -5
  2. config.json +1 -1
  3. pytorch_model.bin +1 -1
  4. runs/Jul27_14-09-41_0c83a5e99d28/1627395003.427806/events.out.tfevents.1627395003.0c83a5e99d28.62.3 +3 -0
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  20. training_args.bin +1 -1
README.md CHANGED
@@ -1,12 +1,18 @@
1
  ---
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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 [Helsinki-NLP/opus-mt-ja-en](https://huggingface.co/Helsinki-NLP/opus-mt-ja-en) on an unkown dataset.
 
 
 
 
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  ## Model description
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@@ -34,19 +44,21 @@ More information needed
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  The following hyperparameters were used during training:
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  - learning_rate: 5e-05
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- - train_batch_size: 8
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- - eval_batch_size: 8
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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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- | No log | 1.0 | 40 | 2.7594 | 12.6387 | 12.6966 |
 
 
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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: 27.3816
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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 [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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+ It achieves the following results on the evaluation set:
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+ - Loss: 3.1649
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+ - Bleu: 27.3816
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+ - Gen Len: 11.2584
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  ## Model description
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  The following hyperparameters were used during training:
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  - learning_rate: 5e-05
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+ - train_batch_size: 16
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+ - eval_batch_size: 16
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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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+ | No log | 1.0 | 20 | 3.2689 | 24.1516 | 11.3483 |
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+ | No log | 2.0 | 40 | 3.1899 | 26.5309 | 10.618 |
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+ | No log | 3.0 | 60 | 3.1649 | 27.3816 | 11.2584 |
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63
 
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  ### Framework versions
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  "activation_dropout": 0.0,
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