readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: lab9_model_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. -->
  
  # lab9_model_bert
  
  This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.6498
  
  ## 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: 16
  - eval_batch_size: 16
  - seed: 42
  - 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 |
  |:-------------:|:-----:|:----:|:---------------:|
  | No log        | 1.0   | 50   | 3.6137          |
  | No log        | 2.0   | 100  | 1.9421          |
  | No log        | 3.0   | 150  | 1.2792          |
  | No log        | 4.0   | 200  | 1.0015          |
  | No log        | 5.0   | 250  | 0.8056          |
  | No log        | 6.0   | 300  | 0.7624          |
  | No log        | 7.0   | 350  | 0.6635          |
  | No log        | 8.0   | 400  | 0.6740          |
  | No log        | 9.0   | 450  | 0.6580          |
  | 1.4267        | 10.0  | 500  | 0.6498          |
  
  
  ### Framework versions
  
  - Transformers 4.25.1
  - Pytorch 1.13.0+cu116
  - Datasets 2.8.0
  - Tokenizers 0.13.2
  