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End of training

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README.md CHANGED
@@ -17,9 +17,9 @@ 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-en-es](https://huggingface.co/Helsinki-NLP/opus-mt-en-es) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.1360
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- - Bleu: 35.6691
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- - Gen Len: 33.8139
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  ## Model description
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@@ -44,14 +44,18 @@ The following hyperparameters were used during training:
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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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- | 1.2098 | 1.0 | 2988 | 1.1360 | 35.6691 | 33.8139 |
 
 
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-es](https://huggingface.co/Helsinki-NLP/opus-mt-en-es) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.1438
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+ - Bleu: 36.1767
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+ - Gen Len: 33.8762
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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: 5
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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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+ | 1.177 | 1.0 | 2988 | 1.1417 | 36.1355 | 34.0324 |
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+ | 1.0871 | 2.0 | 5976 | 1.1396 | 35.9725 | 33.7839 |
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+ | 1.0245 | 3.0 | 8964 | 1.1403 | 35.8792 | 33.7635 |
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+ | 0.9782 | 4.0 | 11952 | 1.1426 | 36.172 | 33.8807 |
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+ | 0.9349 | 5.0 | 14940 | 1.1438 | 36.1767 | 33.8762 |
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  ### Framework versions
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