readme: ---
  license: mit
  tags:
  - generated_from_trainer
  metrics:
  - f1
  model-index:
  - name: results
    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. -->
  
  # results
  
  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: 0.2872
  - F1: 0.6095
  
  ## 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     |
  |:-------------:|:-----:|:-----:|:---------------:|:------:|
  | 0.3356        | 1.0   | 1033  | 0.2558          | 0.3761 |
  | 0.2588        | 2.0   | 2066  | 0.2352          | 0.5246 |
  | 0.2252        | 3.0   | 3099  | 0.2292          | 0.5996 |
  | 0.2044        | 4.0   | 4132  | 0.2417          | 0.5950 |
  | 0.189         | 5.0   | 5165  | 0.2433          | 0.6102 |
  | 0.1718        | 6.0   | 6198  | 0.2671          | 0.5894 |
  | 0.1627        | 7.0   | 7231  | 0.2686          | 0.6319 |
  | 0.1513        | 8.0   | 8264  | 0.2779          | 0.6079 |
  | 0.1451        | 9.0   | 9297  | 0.2848          | 0.6195 |
  | 0.1429        | 10.0  | 10330 | 0.2872          | 0.6095 |
  
  
  ### Framework versions
  
  - Transformers 4.26.0
  - Pytorch 1.13.1+cu116
  - Datasets 2.9.0
  - Tokenizers 0.13.2
  