readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - accuracy
  model-index:
  - name: 20NG_ELECTRA_5E
    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. -->
  
  # 20NG_ELECTRA_5E
  
  This model is a fine-tuned version of [google/electra-small-discriminator](https://huggingface.co/google/electra-small-discriminator) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 2.8534
  - Accuracy: 0.1733
  
  ## 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: 1e-05
  - train_batch_size: 16
  - eval_batch_size: 8
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 1
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
  | 2.9938        | 0.07  | 50   | 2.9881          | 0.1067   |
  | 2.9879        | 0.14  | 100  | 2.9852          | 0.1133   |
  | 2.9842        | 0.21  | 150  | 2.9796          | 0.1333   |
  | 2.9722        | 0.28  | 200  | 2.9653          | 0.1733   |
  | 2.9559        | 0.35  | 250  | 2.9458          | 0.18     |
  | 2.9368        | 0.42  | 300  | 2.9257          | 0.1667   |
  | 2.9234        | 0.49  | 350  | 2.9101          | 0.18     |
  | 2.9094        | 0.56  | 400  | 2.8926          | 0.1733   |
  | 2.898         | 0.64  | 450  | 2.8810          | 0.18     |
  | 2.8941        | 0.71  | 500  | 2.8715          | 0.18     |
  | 2.8742        | 0.78  | 550  | 2.8646          | 0.1533   |
  | 2.8765        | 0.85  | 600  | 2.8597          | 0.1867   |
  | 2.8738        | 0.92  | 650  | 2.8555          | 0.1733   |
  | 2.866         | 0.99  | 700  | 2.8534          | 0.1733   |
  
  
  ### Framework versions
  
  - Transformers 4.25.1
  - Pytorch 1.13.1
  - Datasets 2.8.0
  - Tokenizers 0.13.2
  