readme: ---
  license: other
  tags:
  - generated_from_trainer
  model-index:
  - name: distilbert-allsides
    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. -->
  
  # distilbert-allsides
  
  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.9138
  - Acc: 0.7094
  
  ## 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: 3e-05
  - train_batch_size: 32
  - eval_batch_size: 32
  - seed: 12345
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - lr_scheduler_warmup_steps: 16
  - num_epochs: 20
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Acc    |
  |:-------------:|:-----:|:----:|:---------------:|:------:|
  | 0.7667        | 1.0   | 822  | 0.7003          | 0.6820 |
  | 0.6893        | 2.0   | 1644 | 0.6619          | 0.6981 |
  | 0.6177        | 3.0   | 2466 | 0.6736          | 0.7064 |
  | 0.595         | 4.0   | 3288 | 0.6642          | 0.7091 |
  | 0.5179        | 5.0   | 4110 | 0.6936          | 0.7121 |
  | 0.4698        | 6.0   | 4932 | 0.7670          | 0.7106 |
  | 0.463         | 7.0   | 5754 | 0.8537          | 0.7121 |
  | 0.4345        | 8.0   | 6576 | 0.9138          | 0.7094 |
  
  
  ### Framework versions
  
  - Transformers 4.11.3
  - Pytorch 1.10.1
  - Datasets 1.17.0
  - Tokenizers 0.10.3
  