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@@ -10,6 +10,8 @@ metrics:
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  model-index:
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  - name: birdi-finetuned-ner-address-v2
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  results: []
 
 
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -18,12 +20,6 @@ should probably proofread and complete it, then remove this comment. -->
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  # birdi-finetuned-ner-address-v2
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  This model is a fine-tuned version of [camembert/camembert-base](https://huggingface.co/camembert/camembert-base) on the None dataset.
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- It achieves the following results on the evaluation set:
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- - Loss: 0.0000
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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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- - Accuracy: 1.0
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  ## Model description
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@@ -50,18 +46,9 @@ The following hyperparameters were used during training:
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  - lr_scheduler_type: linear
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  - num_epochs: 3
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- ### Training results
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-
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- | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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- |:-------------:|:-----:|:-----:|:---------------:|:---------:|:------:|:------:|:--------:|
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- | 0.0006 | 1.0 | 7543 | 0.0004 | 1.0000 | 1.0000 | 1.0000 | 1.0000 |
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- | 0.0001 | 2.0 | 15086 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 |
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- | 0.0 | 3.0 | 22629 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 |
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-
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-
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  ### Framework versions
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  - Transformers 4.33.0.dev0
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  - Pytorch 2.0.1+cu118
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  - Datasets 2.14.4
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- - Tokenizers 0.13.3
 
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  model-index:
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  - name: birdi-finetuned-ner-address-v2
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  results: []
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+ language:
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+ - fr
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
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  # birdi-finetuned-ner-address-v2
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  This model is a fine-tuned version of [camembert/camembert-base](https://huggingface.co/camembert/camembert-base) on the None dataset.
 
 
 
 
 
 
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  ## Model description
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  - lr_scheduler_type: linear
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  - num_epochs: 3
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  ### Framework versions
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  - Transformers 4.33.0.dev0
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  - Pytorch 2.0.1+cu118
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  - Datasets 2.14.4
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+ - Tokenizers 0.13.3