readme: ---
  tags:
  - generated_from_trainer
  metrics:
  - precision
  - recall
  - f1
  - accuracy
  model-index:
  - name: bert-finetuned-protagonist
    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-protagonist
  
  This model is a fine-tuned version of [Davlan/bert-base-multilingual-cased-ner-hrl](https://huggingface.co/Davlan/bert-base-multilingual-cased-ner-hrl) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.0745
  - Precision: 0.8392
  - Recall: 0.7767
  - F1: 0.8068
  - Accuracy: 0.9863
  
  ## 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: 5
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
  | No log        | 1.0   | 106  | 0.0695          | 0.8251    | 0.8558 | 0.8402 | 0.9870   |
  | No log        | 2.0   | 212  | 0.0667          | 0.8244    | 0.7860 | 0.8048 | 0.9857   |
  | No log        | 3.0   | 318  | 0.0624          | 0.86      | 0.8    | 0.8289 | 0.9870   |
  | No log        | 4.0   | 424  | 0.0698          | 0.8357    | 0.8047 | 0.8199 | 0.9867   |
  | 0.0074        | 5.0   | 530  | 0.0745          | 0.8392    | 0.7767 | 0.8068 | 0.9863   |
  
  
  ### Framework versions
  
  - Transformers 4.18.0
  - Pytorch 1.11.0+cu113
  - Datasets 2.1.0
  - Tokenizers 0.12.1
  