readme: ---
  license: gpl-3.0
  tags:
  - generated_from_trainer
  metrics:
  - accuracy
  model-index:
  - name: IceBERT-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. -->
  
  # IceBERT-finetuned
  
  This model is a fine-tuned version of [vesteinn/IceBERT](https://huggingface.co/vesteinn/IceBERT) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 3.7361
  - Accuracy: 0.352
  
  ## 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: 5
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
  | 4.5309        | 1.0   | 563  | 4.1093          | 0.329    |
  | 3.9723        | 2.0   | 1126 | 3.8339          | 0.344    |
  | 3.6949        | 3.0   | 1689 | 3.7490          | 0.346    |
  | 3.5124        | 4.0   | 2252 | 3.7488          | 0.358    |
  | 3.3763        | 5.0   | 2815 | 3.7361          | 0.352    |
  
  
  ### Framework versions
  
  - Transformers 4.12.5
  - Pytorch 1.10.0+cu111
  - Datasets 1.15.1
  - Tokenizers 0.10.3
  