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update model card README.md

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@@ -16,9 +16,9 @@ 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 the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 3.1405
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- - Bleu: 8.9589
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- - Gen Len: 6.1056
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  ## Model description
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@@ -43,16 +43,23 @@ 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: 3
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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 | 31 | 3.4523 | 4.1533 | 6.7329 |
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- | No log | 2.0 | 62 | 3.3133 | 4.8743 | 5.8944 |
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- | No log | 3.0 | 93 | 3.2716 | 5.0183 | 5.9503 |
 
 
 
 
 
 
 
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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 the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 2.8772
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+ - Bleu: 6.0639
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+ - Gen Len: 6.0497
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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: 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 | 31 | 3.4204 | 4.1421 | 6.7329 |
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+ | No log | 2.0 | 62 | 3.2154 | 4.8111 | 5.9255 |
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+ | No log | 3.0 | 93 | 3.1073 | 5.8324 | 5.9317 |
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+ | No log | 4.0 | 124 | 3.0242 | 8.0401 | 5.8944 |
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+ | No log | 5.0 | 155 | 2.9829 | 5.0246 | 6.0435 |
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+ | No log | 6.0 | 186 | 2.9363 | 8.2048 | 5.9752 |
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+ | No log | 7.0 | 217 | 2.9103 | 5.9443 | 6.0186 |
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+ | No log | 8.0 | 248 | 2.8834 | 6.0896 | 6.0373 |
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+ | No log | 9.0 | 279 | 2.8792 | 6.0346 | 6.0621 |
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+ | No log | 10.0 | 310 | 2.8772 | 6.0639 | 6.0497 |
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  ### Framework versions