readme: ---
  license: mit
  tags:
  - generated_from_trainer
  metrics:
  - f1
  - accuracy
  model-index:
  - name: bert-finetuned-Location
    results: []
  ---
  
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
  should probably proofread and complete it, then remove this comment. -->
  
  # bert-finetuned-Location
  
  This model is a fine-tuned version of [dbmdz/bert-base-french-europeana-cased](https://huggingface.co/dbmdz/bert-base-french-europeana-cased) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.5462
  - F1: 0.8167
  - Roc Auc: 0.8624
  - Accuracy: 0.8133
  
  ## Model description
  
  More information needed
  
  ## Intended uses & limitations
  
  More information needed
  
  ## Training and evaluation data
  
  More information needed
  
  ## Training procedure
  
  ### Training hyperparameters
  
  The following hyperparameters were used during training:
  - learning_rate: 2e-05
  - train_batch_size: 8
  - eval_batch_size: 8
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 8
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | F1     | Roc Auc | Accuracy |
  |:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|:--------:|
  | 0.4229        | 1.0   | 742  | 0.3615          | 0.7402 | 0.8014  | 0.6900   |
  | 0.3722        | 2.0   | 1484 | 0.3103          | 0.7906 | 0.8416  | 0.7796   |
  | 0.262         | 3.0   | 2226 | 0.3364          | 0.8135 | 0.8600  | 0.8100   |
  | 0.2239        | 4.0   | 2968 | 0.4593          | 0.8085 | 0.8561  | 0.8066   |
  | 0.1461        | 5.0   | 3710 | 0.5534          | 0.7923 | 0.8440  | 0.7904   |
  | 0.1333        | 6.0   | 4452 | 0.5462          | 0.8167 | 0.8624  | 0.8133   |
  | 0.0667        | 7.0   | 5194 | 0.6298          | 0.7972 | 0.8479  | 0.7958   |
  | 0.0616        | 8.0   | 5936 | 0.6362          | 0.8075 | 0.8556  | 0.8059   |
  
  
  ### Framework versions
  
  - Transformers 4.19.2
  - Pytorch 1.11.0+cu113
  - Datasets 2.2.2
  - Tokenizers 0.12.1
  