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End of training

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  1. README.md +5 -6
  2. model.safetensors +1 -1
README.md CHANGED
@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [facebook/mbart-large-50-many-to-many-mmt](https://huggingface.co/facebook/mbart-large-50-many-to-many-mmt) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 2.6823
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- - Sacrebleu: 6.0325
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  ## Model description
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@@ -43,16 +43,15 @@ The following hyperparameters were used during training:
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  - seed: 42
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  - optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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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 | Sacrebleu |
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  |:-------------:|:-----:|:----:|:---------------:|:---------:|
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- | 2.4359 | 1.0 | 309 | 2.9542 | 3.4303 |
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- | 1.5757 | 2.0 | 618 | 2.7130 | 4.8701 |
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- | 1.2767 | 3.0 | 927 | 2.6823 | 6.0325 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [facebook/mbart-large-50-many-to-many-mmt](https://huggingface.co/facebook/mbart-large-50-many-to-many-mmt) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 2.9950
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+ - Sacrebleu: 4.4405
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  ## Model description
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  - seed: 42
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  - optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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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 | Sacrebleu |
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  |:-------------:|:-----:|:----:|:---------------:|:---------:|
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+ | 2.5108 | 1.0 | 309 | 2.9950 | 4.4405 |
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+ | 1.7678 | 2.0 | 618 | 2.8134 | 3.4752 |
 
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  ### Framework versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
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  size 2444582788
 
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