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--- |
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base_model: camembert/camembert-base |
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tags: |
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- generated_from_trainer |
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metrics: |
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- precision |
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- recall |
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- f1 |
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- accuracy |
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model-index: |
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- name: camembert-base-finetuned-ner |
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results: [] |
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datasets: |
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- Jean-Baptiste/wikiner_fr |
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language: |
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- fr |
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widget: |
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- text: "Je m'appelle Amel Douc. Je suis né à Paris et réside au 11 impasse de la défense 75018 paris." |
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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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should probably proofread and complete it, then remove this comment. --> |
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# camembert-base-finetuned-ner |
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This model is a fine-tuned version of [camembert/camembert-base](https://huggingface.co/camembert/camembert-base) on the Wikiner Dataset (enriched with new entities: date, postal adress) dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0280 |
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- Precision: 0.9642 |
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- Recall: 0.9675 |
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- F1: 0.9658 |
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- Accuracy: 0.9921 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 2e-05 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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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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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy | |
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|:-------------:|:-----:|:-----:|:---------------:|:---------:|:------:|:------:|:--------:| |
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| 0.0316 | 1.0 | 15205 | 0.0300 | 0.9555 | 0.9609 | 0.9582 | 0.9906 | |
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| 0.0214 | 2.0 | 30410 | 0.0276 | 0.9624 | 0.9668 | 0.9646 | 0.9918 | |
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| 0.0156 | 3.0 | 45615 | 0.0280 | 0.9642 | 0.9675 | 0.9658 | 0.9921 | |
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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 |
