readme: ---
  license: gpl-3.0
  tags:
  - generated_from_trainer
  metrics:
  - matthews_correlation
  model-index:
  - name: IceBERT-finetuned-iec-sentence-bs16
    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-iec-sentence-bs16
  
  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: 0.2508
  - Matthews Correlation: 0.8169
  
  ## 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 | Matthews Correlation |
  |:-------------:|:-----:|:-----:|:---------------:|:--------------------:|
  | 0.5278        | 1.0   | 3640  | 0.4777          | 0.5396               |
  | 0.4648        | 2.0   | 7280  | 0.3886          | 0.6437               |
  | 0.3807        | 3.0   | 10920 | 0.3478          | 0.7060               |
  | 0.3061        | 4.0   | 14560 | 0.2523          | 0.8083               |
  | 0.2477        | 5.0   | 18200 | 0.2508          | 0.8169               |
  
  
  ### Framework versions
  
  - Transformers 4.12.3
  - Pytorch 1.8.0
  - Datasets 1.15.1
  - Tokenizers 0.10.3
  