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hongjing0312
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opus-mt-es-en-finetuned-en-to-es

Text2Text Generation
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PyTorch
marian
Generated from Trainer
Eval Results
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hongjing0312 commited on
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End of training

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  1. README.md +14 -10
  2. pytorch_model.bin +1 -1
README.md CHANGED
@@ -22,7 +22,7 @@ model-index:
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  metrics:
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  - name: Bleu
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  type: bleu
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- value: 8.4292
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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
@@ -32,9 +32,9 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [Helsinki-NLP/opus-mt-es-en](https://huggingface.co/Helsinki-NLP/opus-mt-es-en) on the opus_books dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 2.5874
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- - Bleu: 8.4292
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- - Gen Len: 45.9101
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  ## Model description
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  The following hyperparameters were used during training:
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  - learning_rate: 2e-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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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
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- |:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|
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- | 2.7709 | 1.0 | 4674 | 2.5874 | 8.4292 | 45.9101 |
 
 
 
 
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  ### Framework versions
 
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  metrics:
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  - name: Bleu
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  type: bleu
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+ value: 12.6368
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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-es-en](https://huggingface.co/Helsinki-NLP/opus-mt-es-en) on the opus_books dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 2.0963
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+ - Bleu: 12.6368
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+ - Gen Len: 45.2439
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  ## Model description
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  The following hyperparameters were used during training:
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  - learning_rate: 2e-05
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+ - train_batch_size: 32
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+ - eval_batch_size: 32
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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: 5
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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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+ | 2.7993 | 1.0 | 2337 | 2.5049 | 9.0673 | 46.0969 |
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+ | 2.434 | 2.0 | 4674 | 2.2687 | 10.9353 | 45.3797 |
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+ | 2.2723 | 3.0 | 7011 | 2.1639 | 11.9589 | 45.3567 |
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+ | 2.1979 | 4.0 | 9348 | 2.1117 | 12.4972 | 45.4107 |
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+ | 2.1644 | 5.0 | 11685 | 2.0963 | 12.6368 | 45.2439 |
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  ### Framework versions
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