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update model card README.md

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@@ -16,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [microsoft/Multilingual-MiniLM-L12-H384](https://huggingface.co/microsoft/Multilingual-MiniLM-L12-H384) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.3345
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  - Accuracy: 1.0
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  ## Model description
@@ -48,16 +48,16 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | No log | 1.0 | 1 | 1.3773 | 1.0 |
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- | No log | 2.0 | 2 | 1.3697 | 1.0 |
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- | No log | 3.0 | 3 | 1.3627 | 1.0 |
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- | No log | 4.0 | 4 | 1.3563 | 1.0 |
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- | No log | 5.0 | 5 | 1.3505 | 1.0 |
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- | No log | 6.0 | 6 | 1.3454 | 1.0 |
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- | No log | 7.0 | 7 | 1.3412 | 1.0 |
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- | No log | 8.0 | 8 | 1.3380 | 1.0 |
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- | No log | 9.0 | 9 | 1.3357 | 1.0 |
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- | No log | 10.0 | 10 | 1.3345 | 1.0 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [microsoft/Multilingual-MiniLM-L12-H384](https://huggingface.co/microsoft/Multilingual-MiniLM-L12-H384) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.3661
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  - Accuracy: 1.0
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  ## Model description
 
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | No log | 1.0 | 1 | 1.4030 | 0.0 |
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+ | No log | 2.0 | 2 | 1.3959 | 0.0 |
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+ | No log | 3.0 | 3 | 1.3896 | 0.0 |
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+ | No log | 4.0 | 4 | 1.3840 | 0.0 |
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+ | No log | 5.0 | 5 | 1.3790 | 0.0 |
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+ | No log | 6.0 | 6 | 1.3749 | 1.0 |
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+ | No log | 7.0 | 7 | 1.3714 | 1.0 |
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+ | No log | 8.0 | 8 | 1.3688 | 1.0 |
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+ | No log | 9.0 | 9 | 1.3670 | 1.0 |
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+ | No log | 10.0 | 10 | 1.3661 | 1.0 |
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  ### Framework versions