readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - f1
  model-index:
  - name: destilbert_fever_nli
    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. -->
  
  # destilbert_fever_nli
  
  This model is a fine-tuned version of [distilbert-base-cased](https://huggingface.co/distilbert-base-cased) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 2.5463
  - F1: 0.6747
  
  ## 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: 0.0001
  - train_batch_size: 64
  - eval_batch_size: 64
  - 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 | F1     |
  |:-------------:|:-----:|:----:|:---------------:|:------:|
  | No log        | 1.0   | 235  | 1.2711          | 0.6671 |
  | No log        | 2.0   | 470  | 1.8000          | 0.6538 |
  | 0.1341        | 3.0   | 705  | 1.6965          | 0.6770 |
  | 0.1341        | 4.0   | 940  | 1.8415          | 0.6619 |
  | 0.068         | 5.0   | 1175 | 1.7477          | 0.6682 |
  | 0.068         | 6.0   | 1410 | 2.2007          | 0.6695 |
  | 0.0435        | 7.0   | 1645 | 2.3327          | 0.6705 |
  | 0.0435        | 8.0   | 1880 | 2.3927          | 0.6729 |
  | 0.015         | 9.0   | 2115 | 2.4978          | 0.6721 |
  | 0.015         | 10.0  | 2350 | 2.5463          | 0.6747 |
  
  
  ### Framework versions
  
  - Transformers 4.25.1
  - Pytorch 1.13.1+cu116
  - Datasets 2.8.0
  - Tokenizers 0.13.2
  