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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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README.md CHANGED
@@ -12,7 +12,7 @@ model_index:
12
  metric:
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  name: Bleu
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  type: bleu
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- value: 28.5955
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  ---
17
 
18
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -22,9 +22,9 @@ should probably proofread and complete it, then remove this comment. -->
22
 
23
  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: 2.2084
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- - Bleu: 28.5955
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- - Gen Len: 11.9101
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  ## Model description
30
 
@@ -43,7 +43,7 @@ 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: 0.0001
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  - train_batch_size: 16
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  - eval_batch_size: 16
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  - seed: 42
@@ -56,9 +56,9 @@ The following hyperparameters were used during training:
56
 
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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 | 2.4764 | 16.4175 | 11.4157 |
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- | No log | 2.0 | 40 | 2.2389 | 27.3261 | 11.8764 |
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- | No log | 3.0 | 60 | 2.2084 | 28.5955 | 11.9101 |
62
 
63
 
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  ### Framework versions
12
  metric:
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  name: Bleu
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  type: bleu
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+ value: 31.6029
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  ---
17
 
18
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
22
 
23
  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.
24
  It achieves the following results on the evaluation set:
25
+ - Loss: 2.1920
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+ - Bleu: 31.6029
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+ - Gen Len: 12.8539
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  ## Model description
30
 
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
46
+ - learning_rate: 0.0002
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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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  | Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
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  |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
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+ | 2.8571 | 1.0 | 20 | 2.4337 | 25.233 | 11.5169 |
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+ | 1.2533 | 2.0 | 40 | 2.2544 | 30.6944 | 11.9551 |
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+ | 0.7083 | 3.0 | 60 | 2.1920 | 31.6029 | 12.8539 |
62
 
63
 
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  ### Framework versions
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