readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - accuracy
  - f1
  model-index:
  - name: geocoder_model
    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. -->
  
  # geocoder_model
  
  This model is a fine-tuned version of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.2632
  - Accuracy: {'accuracy': 0.9005447386872337}
  - F1: {'f1': 0.8323636363636362}
  
  ## 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: 16
  - eval_batch_size: 16
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 2
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Accuracy                         | F1                         |
  |:-------------:|:-----:|:----:|:---------------:|:--------------------------------:|:--------------------------:|
  | 0.26          | 1.0   | 4636 | 0.2405          | {'accuracy': 0.8972547327544361} | {'f1': 0.827866630523177}  |
  | 0.2069        | 2.0   | 9272 | 0.2632          | {'accuracy': 0.9005447386872337} | {'f1': 0.8323636363636362} |
  
  
  ### Framework versions
  
  - Transformers 4.25.1
  - Pytorch 1.13.0+cu116
  - Tokenizers 0.13.2
  