readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - f1
  model-index:
  - name: distilbert-multilingual-uncased-en-de-fr-oct-19
    results: []
  ---
  
  
  
  # distilbert-multilingual-uncased-en-de-fr-oct-19
  
  This model is a fine-tuned version of [distilbert-base-multilingual-cased](https://huggingface.co/distilbert-base-multilingual-cased) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.0273
  - F1: 0.9623
  
  ## Model description
  
  This was trained off a cased model, but with .lower() applied to each of the records, if you wish for it to work you must lowercase before inferencing
  
  ## 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: 4e-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: 3
  
  ### Training results
  
  | Training Loss | Epoch | Step  | Validation Loss | F1     |
  |:-------------:|:-----:|:-----:|:---------------:|:------:|
  | 0.0573        | 1.0   | 6468  | 0.0364          | 0.9402 |
  | 0.0224        | 2.0   | 12936 | 0.0281          | 0.9572 |
  | 0.0108        | 3.0   | 19404 | 0.0273          | 0.9623 |
  
  
  ### Framework versions
  
  - Transformers 4.23.1
  - Pytorch 1.12.1+cu113
  - Tokenizers 0.13.1
  