readme: ---
  license: mit
  tags:
  - generated_from_trainer
  metrics:
  - f1
  model-index:
  - name: war-tiny-bert
    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. -->
  
  # war-tiny-bert
  
  This model is a fine-tuned version of [cointegrated/rubert-tiny2](https://huggingface.co/cointegrated/rubert-tiny2) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.3438
  - F1: 0.6929
  
  ## 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: 1e-05
  - train_batch_size: 16
  - eval_batch_size: 16
  - seed: 21
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 10
  
  ### Training results
  
  | Training Loss | Epoch | Step  | Validation Loss | F1     |
  |:-------------:|:-----:|:-----:|:---------------:|:------:|
  | 0.3216        | 1.0   | 2500  | 0.2645          | 0.5988 |
  | 0.2388        | 2.0   | 5000  | 0.2379          | 0.6496 |
  | 0.2067        | 3.0   | 7500  | 0.2375          | 0.6696 |
  | 0.1822        | 4.0   | 10000 | 0.2553          | 0.6740 |
  | 0.1661        | 5.0   | 12500 | 0.2770          | 0.6725 |
  | 0.1509        | 6.0   | 15000 | 0.2853          | 0.6965 |
  | 0.1423        | 7.0   | 17500 | 0.3187          | 0.6765 |
  | 0.1322        | 8.0   | 20000 | 0.3277          | 0.6958 |
  | 0.1256        | 9.0   | 22500 | 0.3411          | 0.6909 |
  | 0.1224        | 10.0  | 25000 | 0.3438          | 0.6929 |
  
  
  ### Framework versions
  
  - Transformers 4.26.0
  - Pytorch 1.13.1+cu116
  - Datasets 2.9.0
  - Tokenizers 0.13.2
  