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

Text2Text Generation
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add model

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  1. README.md +24 -5
  2. pytorch_model.bin +1 -1
  3. runs/Jul28_02-23-52_742332c5305d/1627439069.5438976/events.out.tfevents.1627439069.742332c5305d.64.1 +3 -0
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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
@@ -15,6 +21,10 @@ 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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@@ -33,20 +43,29 @@ More information needed
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  ### Training hyperparameters
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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: 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 | 20 | 2.9007 | 9.393 | 12.5955 |
 
 
 
 
 
 
 
 
 
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  ### Framework versions
 
1
  ---
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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: 41.7379
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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: 2.2845
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+ - Bleu: 41.7379
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+ - Gen Len: 12.0337
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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+ - learning_rate: 0.0001
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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: 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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+ | No log | 1.0 | 20 | 2.4396 | 18.3131 | 11.5506 |
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+ | No log | 2.0 | 40 | 2.2467 | 27.0591 | 12.0562 |
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+ | No log | 3.0 | 60 | 2.1419 | 33.5675 | 11.9888 |
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+ | No log | 4.0 | 80 | 2.1646 | 37.728 | 12.5955 |
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+ | No log | 5.0 | 100 | 2.1563 | 39.1659 | 12.191 |
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+ | No log | 6.0 | 120 | 2.2355 | 38.2432 | 11.8652 |
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+ | No log | 7.0 | 140 | 2.2503 | 41.4545 | 12.0 |
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+ | No log | 8.0 | 160 | 2.2656 | 43.8778 | 12.2584 |
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+ | No log | 9.0 | 180 | 2.2816 | 41.1478 | 12.2135 |
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+ | No log | 10.0 | 200 | 2.2845 | 41.7379 | 12.0337 |
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  ### Framework versions
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