readme: ---
  license: cc-by-4.0
  tags:
  - generated_from_trainer
  model-index:
  - name: norbert2-finetuned-comments
    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. -->
  
  # norbert2-finetuned-comments
  
  This model is a fine-tuned version of [ltgoslo/norbert2](https://huggingface.co/ltgoslo/norbert2) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 2.8562
  
  ## 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: 17
  - eval_batch_size: 17
  - 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 |
  |:-------------:|:-----:|:-----:|:---------------:|
  | 3.7115        | 1.0   | 1030  | 3.2753          |
  | 3.248         | 2.0   | 2060  | 3.0974          |
  | 3.0825        | 3.0   | 3090  | 3.0759          |
  | 2.992         | 4.0   | 4120  | 3.0478          |
  | 2.8956        | 5.0   | 5150  | 2.9340          |
  | 2.8315        | 6.0   | 6180  | 2.9893          |
  | 2.7772        | 7.0   | 7210  | 2.9035          |
  | 2.7037        | 8.0   | 8240  | 2.8797          |
  | 2.6431        | 9.0   | 9270  | 2.8799          |
  | 2.6345        | 10.0  | 10300 | 2.8809          |
  
  
  ### Framework versions
  
  - Transformers 4.24.0
  - Pytorch 1.12.1+cu113
  - Tokenizers 0.13.2
  