readme: ---
  license: mit
  tags:
  - generated_from_trainer
  model-index:
  - name: rubert-tiny2-war-posts-finetuned
    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. -->
  
  # rubert-tiny2-war-posts-finetuned
  
  This model is a fine-tuned version of [cointegrated/rubert-tiny2](https://huggingface.co/cointegrated/rubert-tiny2) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 3.7097
  
  ## 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: 7
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss |
  |:-------------:|:-----:|:----:|:---------------:|
  | 4.3638        | 1.0   | 1011 | 3.9762          |
  | 4.1361        | 2.0   | 2022 | 3.8631          |
  | 4.036         | 3.0   | 3033 | 3.7991          |
  | 3.9467        | 4.0   | 4044 | 3.7706          |
  | 3.8936        | 5.0   | 5055 | 3.7258          |
  | 3.8732        | 6.0   | 6066 | 3.7155          |
  | 3.8431        | 7.0   | 7077 | 3.6837          |
  
  
  ### Framework versions
  
  - Transformers 4.26.0
  - Pytorch 1.13.1+cu116
  - Datasets 2.9.0
  - Tokenizers 0.13.2
  