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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 [facebook/nllb-200-distilled-600M](https://huggingface.co/facebook/nllb-200-distilled-600M) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.8846
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- - Bleu: 17.7229
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- - Gen Len: 32.719
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  ## Model description
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@@ -44,15 +44,14 @@ 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: 2
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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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- | 2.1397 | 1.0 | 625 | 1.9092 | 17.03 | 33.143 |
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- | 1.956 | 2.0 | 1250 | 1.8846 | 17.7229 | 32.719 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [facebook/nllb-200-distilled-600M](https://huggingface.co/facebook/nllb-200-distilled-600M) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 2.0112
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+ - Bleu: 14.7086
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+ - Gen Len: 31.718
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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: 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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+ | 2.1899 | 1.0 | 625 | 2.0112 | 14.7086 | 31.718 |
 
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  ### Framework versions
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