readme: ---
  tags:
  - generated_from_trainer
  metrics:
  - accuracy
  model-index:
  - name: cont_medium_4_256
    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. -->
  
  # cont_medium_4_256
  
  This model is a fine-tuned version of [sberbank-ai/rugpt3medium_based_on_gpt2](https://huggingface.co/sberbank-ai/rugpt3medium_based_on_gpt2) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 3.7602
  - Accuracy: 0.3436
  
  ## 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: 1.5e-05
  - train_batch_size: 6
  - eval_batch_size: 12
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 4.0
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
  | 3.4091        | 1.0   | 160  | 3.7238          | 0.3472   |
  | 3.2338        | 2.0   | 320  | 3.7393          | 0.3446   |
  | 3.1684        | 3.0   | 480  | 3.7518          | 0.3444   |
  | 3.0989        | 4.0   | 640  | 3.7602          | 0.3436   |
  
  
  ### Framework versions
  
  - Transformers 4.23.1
  - Pytorch 1.8.1+cu111
  - Datasets 2.5.2
  - Tokenizers 0.13.1
  