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update model card README.md

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@@ -18,7 +18,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [Jean-Baptiste/camembert-ner](https://huggingface.co/Jean-Baptiste/camembert-ner) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0010
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  - Precision: 1.0
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  - Recall: 1.0
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  - F1: 1.0
@@ -53,9 +53,9 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:---:|:--------:|
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- | No log | 1.0 | 5 | 0.0039 | 1.0 | 1.0 | 1.0 | 1.0 |
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- | No log | 2.0 | 10 | 0.0010 | 1.0 | 1.0 | 1.0 | 1.0 |
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- | No log | 3.0 | 15 | 0.0010 | 1.0 | 1.0 | 1.0 | 1.0 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [Jean-Baptiste/camembert-ner](https://huggingface.co/Jean-Baptiste/camembert-ner) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0012
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  - Precision: 1.0
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  - Recall: 1.0
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  - F1: 1.0
 
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  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:---:|:--------:|
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+ | No log | 1.0 | 5 | 0.0179 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | No log | 2.0 | 10 | 0.0016 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | No log | 3.0 | 15 | 0.0012 | 1.0 | 1.0 | 1.0 | 1.0 |
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  ### Framework versions